From 2a30af2d6a029bc873034a22db90bfbdb877b415 Mon Sep 17 00:00:00 2001 From: achiefa Date: Wed, 19 Mar 2025 15:21:37 +0000 Subject: [PATCH 01/29] First commit | adding multithreading in ceres --- config/MAPFF30_PI_KA_NNLO.yaml | 160 ++++++++++++++ inc/MontBlanc/LHAPDFparameterisation.h | 22 +- inc/MontBlanc/NNADparameterisation.h | 10 +- run/ComputeChi2s.cc | 42 ++-- run/Optimize.cc | 44 ++-- run/Predictions.cc | 28 ++- src/chisquare/AnalyticChiSquare.cc | 28 ++- .../LHAPDFparameterisation.cc | 20 +- src/parameterisations/NNADparameterisation.cc | 196 +++++++++++------- tests/ClosureTests.cc | 4 +- tests/PredsComparison.cc | 18 +- tests/Reweighting.cc | 9 +- 12 files changed, 429 insertions(+), 152 deletions(-) create mode 100644 config/MAPFF30_PI_KA_NNLO.yaml diff --git a/config/MAPFF30_PI_KA_NNLO.yaml b/config/MAPFF30_PI_KA_NNLO.yaml new file mode 100644 index 000000000..7c077e2e4 --- /dev/null +++ b/config/MAPFF30_PI_KA_NNLO.yaml @@ -0,0 +1,160 @@ +################################# +# Predictions +################################# +Predictions: + # Perturbative order, 0: LO, 1: NLO + perturbative order: 2 + + # Initial scale in GeV to be used for the DGLAP evolution of the FFs. + mu0: 5 + + # Quark thresholds + thresholds: [0, 0, 0, 1.51, 4.92] + + # Strong coupling + alphas: + aref: 0.118 + Qref: 91.1876 + + # Fine-structure constant + alphaem: + aref: 0.00776578395589 + Qref: 91.1876 + + # APFEL++ grid + xgrid: + - [100, 0.001, 3] + - [33, 0.1023293, 3] + - [48, 0.81283052, 3] + + zgrid: + - [100, 0.01, 3] + - [34, 0.20892961, 3] + - [48, 0.83176377, 3] + + # PDF set + pdfset: + name: NNPDF31_nnlo_pch_as_0118 + member: -1 #N>=0 for a specific member (0 for central) ; N<0 for all members to be used randomly(flat dist) + +################################# +# Optimiser +################################# +# Parameters of the optimiser managed by ceres-solver +Optimizer: + max_num_iterations: 3000 + chi2_tolerance: 3 +################################# +# NNAD +################################# +NNAD: + # Initialisation seed + seed: 4 + # Architecture + architecture: [1, 20, 7] + # The output function can be either the activation function of the + # NN (0), or linear (1), or quadratic (2). If this entry is absent a + # linear function is assumed. + output function: 2 + # The flavour map gives the the specific combinations of + # distributions in the physical-basis (d, u, s, ..) to be fitted to + # the data. The number of combinations has to match the number of + # nodes of the output layer of the NN given in the + # architecture. When defining the flavour map, one should keep in + # mind that the code computes predictions using the QCD-evolution + # basis (Sigma, V, T3, ...). Therefore, in general, + # QCD-evolution-like combinations should be preferred. Moreover, the + # distributions are assumed to be for the positive charge of the a + # given hadronic species. The negative distributions are derived + # using charge conjugation (q->qbar). + + flavour maps: + # - {hadron: KA, + # map: [0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, # - u+ + # 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, # - d+ + # 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, # - s+ + # 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, # - c+ + # 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, # - b+ + # 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, # - g + # #tb bb cb sb ub db g d u s c b t + # ], + # SetName: MAPFF30_KA_NNLO} + - {hadron: PI, + map: [0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, # - db + 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, # - g + 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, # - d = ubar + 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, # - u + 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, # - s+ + 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, # - c+ + 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0 # - b+ + #tb bb cb sb ub db g d u s c b t + ], + SetName: MAPFF30_PI_NNLO} +# combine: true +################################# +# Data +################################# +Data: + # Seed used for the replica generation and the splitting between + # training and validation (do not use a too large number here in + # order to avoid correlation in the replica generation). + seed: 0 + + # Datasets to be included in the fit along with specific cuts and + # traning fraction. Each single dataset can implement an arbitrary + # number of cuts determined by the name of the appropriate function + # (e.g. zcut) and the allowed range. + sets: + # Kaon production data + # - {name: "HERMES $K^-$ deuteron", file: "HERMES_KA_MINUS_DEUTERON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + # - {name: "HERMES $K^-$ proton", file: "HERMES_KA_MINUS_PROTON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + # - {name: "HERMES $K^+$ deuteron", file: "HERMES_KA_PLUS_DEUTERON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + # - {name: "HERMES $K^+$ proton", file: "HERMES_KA_PLUS_PROTON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + # - {name: "COMPASS $K^-$", file: "COMPASS_KA_MINUS_DECORR.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} + # - {name: "COMPASS $K^+$", file: "COMPASS_KA_PLUS_DECORR.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} + # - {name: "BELLE $K^\\pm$", file: "BELLE_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + # - {name: "BABAR conventional $K^\\pm$", file: "BABAR_KA_PLUS_MINUS_CONVENTIONAL.yaml", cuts: [{name: zcut, min: 0.2, max: 0.9}], training fraction: 0.5} + # - {name: "TASSO 12 GeV $K^\\pm$", file: "TASSO_12_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + # - {name: "TASSO 14 GeV $K^\\pm$", file: "TASSO_14_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + # - {name: "TASSO 22 GeV $K^\\pm$", file: "TASSO_22_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + # - {name: "TPC $K^\\pm$", file: "TPC_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + # - {name: "TASSO 30 GeV $K^\\pm$", file: "TASSO_30_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + # - {name: "TASSO 34 GeV $K^\\pm$", file: "TASSO_34_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + # - {name: "TASSO 44 GeV $K^\\pm$", file: "TASSO_44_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + # - {name: "TOPAZ $K^\\pm$", file: "TOPAZ_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + # - {name: "ALEPH $K^\\pm$", file: "ALEPH_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + # - {name: "DELPHI total $K^\\pm$", file: "DELPHI_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + # - {name: "DELPHI $uds$ $K^\\pm$", file: "DELPHI_KA_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + # - {name: "DELPHI bottom $K^\\pm$", file: "DELPHI_KA_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + # - {name: "OPAL $K^\\pm$", file: "OPAL_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + # - {name: "SLD total $K^\\pm$", file: "SLD_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + # - {name: "SLD $uds$ $K^\\pm$", file: "SLD_KA_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + # #- {name: "SLD charm $K^\\pm$", file: "SLD_KA_PLUS_MINUS_C.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + # - {name: "SLD bottom $K^\\pm$", file: "SLD_KA_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + + # Pion production data + - {name: "HERMES $\\pi^-$ deuteron", file: "HERMES_PI_MINUS_DEUTERON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + - {name: "HERMES $\\pi^-$ proton", file: "HERMES_PI_MINUS_PROTON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + - {name: "HERMES $\\pi^+$ deuteron", file: "HERMES_PI_PLUS_DEUTERON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + - {name: "HERMES $\\pi^+$ proton", file: "HERMES_PI_PLUS_PROTON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + - {name: "COMPASS $\\pi^-$", file: "COMPASS_PI_MINUS_DECORR.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} + - {name: "COMPASS $\\pi^+$", file: "COMPASS_PI_PLUS_DECORR.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} + - {name: "BELLE $\\pi^\\pm$", file: "BELLE_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BABAR prompt $\\pi^\\pm$", file: "BABAR_PI_PLUS_MINUS_PROMPT.yaml", cuts: [{name: zcut, min: 0.076, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 12 GeV $\\pi^\\pm$", file: "TASSO_12_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 14 GeV $\\pi^\\pm$", file: "TASSO_14_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 22 GeV $\\pi^\\pm$", file: "TASSO_22_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TPC $\\pi^\\pm$", file: "TPC_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 30 GeV $\\pi^\\pm$", file: "TASSO_30_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 34 GeV $\\pi^\\pm$", file: "TASSO_34_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 44 GeV $\\pi^\\pm$", file: "TASSO_44_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TOPAZ $\\pi^\\pm$", file: "TOPAZ_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "ALEPH $\\pi^\\pm$", file: "ALEPH_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "DELPHI total $\\pi^\\pm$", file: "DELPHI_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "DELPHI $uds$ $\\pi^\\pm$", file: "DELPHI_PI_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "DELPHI bottom $\\pi^\\pm$", file: "DELPHI_PI_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "OPAL $\\pi^\\pm$", file: "OPAL_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "SLD total $\\pi^\\pm$", file: "SLD_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "SLD $uds$ $\\pi^\\pm$", file: "SLD_PI_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + #- {name: "SLD charm $\\pi^\\pm$", file: "SLD_PI_PLUS_MINUS_C.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "SLD bottom $\\pi^\\pm$", file: "SLD_PI_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} \ No newline at end of file diff --git a/inc/MontBlanc/LHAPDFparameterisation.h b/inc/MontBlanc/LHAPDFparameterisation.h index f47af825b..bcb189803 100644 --- a/inc/MontBlanc/LHAPDFparameterisation.h +++ b/inc/MontBlanc/LHAPDFparameterisation.h @@ -17,36 +17,42 @@ namespace MontBlanc class LHAPDFparameterisation: public NangaParbat::Parameterisation { public: + /** * @brief The "LHAPDFparameterisation" constructor */ - LHAPDFparameterisation(std::string const &name, std::shared_ptr g, int const& member = 0); + LHAPDFparameterisation(std::unordered_map const &names, std::shared_ptr g, std::unordered_map const& members); /** * @brief The "LHAPDFparameterisation" constructor */ - LHAPDFparameterisation(LHAPDF::PDF* set, std::shared_ptr g); + LHAPDFparameterisation(std::unordered_map MapSet, std::shared_ptr g); /** * @brief The "LHAPDFparameterisation" constructor */ - LHAPDFparameterisation(std::vector sets, std::shared_ptr g, int const& member = 0); + LHAPDFparameterisation(std::unordered_map> MapSets, std::shared_ptr g, std::unordered_map const& MapMember = {}); /** * @brief The "LHAPDFparameterisation" destructor */ - ~LHAPDFparameterisation() { delete _FFs; }; + ~LHAPDFparameterisation() + { + for (auto const& p : _MapFFs) + delete p.second; + } /** * @brief Function that returns the parametrisation in the form of * a std::function. */ - std::function(double const&)> DistributionFunction() const; + std::function(double const&)> DistributionFunction(std::string const&) const; + private: - LHAPDF::PDF *_FFs; - std::shared_ptr _g; - apfel::ConvolutionMap _cmap; + std::unordered_map _MapFFs; + std::shared_ptr _g; + apfel::ConvolutionMap _cmap; }; } diff --git a/inc/MontBlanc/NNADparameterisation.h b/inc/MontBlanc/NNADparameterisation.h index 8c03efdac..03dad56f2 100644 --- a/inc/MontBlanc/NNADparameterisation.h +++ b/inc/MontBlanc/NNADparameterisation.h @@ -34,8 +34,8 @@ namespace MontBlanc void EvaluateOnGrid(); void DeriveOnGrid(); - std::function(double const&)> DistributionFunction() const; - std::function(double const&)> DistributionDerivative(int ipar) const; + std::function(double const&)> DistributionFunction(std::string const& hadron) const; + std::function(double const&)> DistributionDerivative(int ipar, std::string const& hadron) const; private: std::vector _NNarchitecture; @@ -44,7 +44,9 @@ namespace MontBlanc int _Np; int _OutputFunction; std::shared_ptr _g; - nnad::Matrix _Rotation; - std::vector> _NNderivativeSets; + std::map> _Rotations; + std::map> _SplitMatrices; + std::map>> _NNderivativeSets; + std::map _HadronOutputSizeMap; }; } diff --git a/run/ComputeChi2s.cc b/run/ComputeChi2s.cc index 0bbcb31da..41378f285 100644 --- a/run/ComputeChi2s.cc +++ b/run/ComputeChi2s.cc @@ -23,10 +23,10 @@ std::string GetCurrentWorkingDir() void usage_error_message(std::string call_name) { - std::cerr << "Usage: " << call_name << " [-a|--all_replicas] [-i|--index_result] [ (default: 0)] [ (default: LHAPDFSet)]" << std::endl; + std::cerr << "Usage: " << call_name << " [-a|--all_replicas] [-i|--index_result] [ (default: 0)]" << std::endl; } -void compute_chi2s(std::string ResultFolder, int member_index, std::string LHAPDFSet, std::string ResultName = "Chi2s.yaml"); +void compute_chi2s(std::string ResultFolder, std::unordered_map MembersMap, std::unordered_map SetNamesMap, std::string ResultName = "Chi2s.yaml"); std::string i_to_fixed_length_str(int value, int digits_count) { @@ -37,6 +37,7 @@ std::string i_to_fixed_length_str(int value, int digits_count) int main(int argc, char *argv[]) { + LHAPDF::setVerbosity(0); const char* const short_opts = "ai"; const option long_opts[] = { @@ -76,45 +77,52 @@ int main(int argc, char *argv[]) exit(-1); } - // Path to result folder + // Input information const std::string ResultFolder = argv[optind]; + const std::string InputCardPath = ResultFolder + "/config.yaml"; + YAML::Node config = YAML::LoadFile(InputCardPath); // Member index int member_index = 0; if ((argc - optind) >= 2) member_index = atoi(argv[optind+1]); - // Name of the set - std::string LHAPDFSet = "LHAPDFSet"; - if ((argc - optind) >= 3) - LHAPDFSet = argv[optind+2]; + // Name of the sets + std::unordered_map SetNamesMap; + std::unordered_map MembersMap; + for (auto const& map : config["NNAD"]["flavour maps"]) + { + SetNamesMap.insert({map["hadron"].as(), map["SetName"].as()}); + MembersMap.insert({map["hadron"].as(), 0}); + } if (compute_all_replicas) { std::cout << mkdir((ResultFolder+"/IndivChi2s").c_str(), 0777) <<"ResultFolder/IndivChi2s" << "\n"; - //std::cout << (ResultFolder+"/LHAPDFSet/LHAPDFSet_00" + std::to_string(10)+".dat").c_str() << "\n"; - //std::cout << access((ResultFolder+"/LHAPDFSet/LHAPDFSet_" + i_to_fixed_length_str(10,4)+".dat").c_str(), F_OK) << "\n"; - //std::cout << access((ResultFolder).c_str(), F_OK) << "\n"; - for(size_t i=1; access((ResultFolder+"/LHAPDFSet/LHAPDFSet_" + i_to_fixed_length_str(i,4)+".dat").c_str(), F_OK) != -1; i++) + for(size_t i=1; access((ResultFolder+ "/" + SetNamesMap[0] + "/" + SetNamesMap[0] + "_" + i_to_fixed_length_str(i,4) + ".dat").c_str(), F_OK) != -1; i++) { //std::cout<<(ResultFolder+"/LHAPDFSet/" + std::to_string(i)); - compute_chi2s(ResultFolder, i, LHAPDFSet, "IndivChi2s/Chi2sReplica" + std::to_string(i)); + for (auto const& map : config["NNAD"]["flavour maps"]) + MembersMap.insert({map["hadron"].as(), i}); + compute_chi2s(ResultFolder, MembersMap, SetNamesMap, "IndivChi2s/Chi2sReplica" + std::to_string(i)); } } else if (specify_index_result) { mkdir((ResultFolder+"/IndivChi2s").c_str(), 0777); - compute_chi2s(ResultFolder, member_index, LHAPDFSet, "IndivChi2s/Chi2sReplica" + std::to_string(member_index)); + for (auto const& map : config["NNAD"]["flavour maps"]) + MembersMap.insert({map["hadron"].as(), member_index}); + compute_chi2s(ResultFolder, MembersMap, SetNamesMap, "IndivChi2s/Chi2sReplica" + std::to_string(member_index)); } else { - compute_chi2s(ResultFolder, member_index, LHAPDFSet); + compute_chi2s(ResultFolder, MembersMap, SetNamesMap); } return 0; } -void compute_chi2s(std::string ResultFolder, int member_index, std::string LHAPDFSet, std::string ResultName) +void compute_chi2s(std::string ResultFolder, std::unordered_map MembersMap, std::unordered_map SetNamesMap, std::string ResultName) { // Timer apfel::Timer t; @@ -145,7 +153,7 @@ void compute_chi2s(std::string ResultFolder, int member_index, std::string LHAPD LHAPDF::pathsPrepend(GetCurrentWorkingDir() + "/" + ResultFolder + "/"); // LHAPDF Parameterisation - NangaParbat::Parameterisation *LHAPDF_FFs = new MontBlanc::LHAPDFparameterisation(LHAPDFSet, gz, member_index); + NangaParbat::Parameterisation *LHAPDF_FFs = new MontBlanc::LHAPDFparameterisation(SetNamesMap, gz, MembersMap); // Initialiase chi2 object NangaParbat::ChiSquare *chi2 = new MontBlanc::AnalyticChiSquare{LHAPDF_FFs}; @@ -209,4 +217,6 @@ void compute_chi2s(std::string ResultFolder, int member_index, std::string LHAPD gsl_rng_free(rng); t.stop(true); + delete LHAPDF_FFs; + delete chi2; } diff --git a/run/Optimize.cc b/run/Optimize.cc index 99f7009fa..646957fca 100644 --- a/run/Optimize.cc +++ b/run/Optimize.cc @@ -32,15 +32,21 @@ #include #include +// Unix-like system commands +#include + int main(int argc, char *argv[]) { - const char* const short_opts = "s"; + const char* const short_opts = "sj"; const option long_opts[] = { {"separate_replica_results", no_argument, nullptr, 's'}, + {"jobs", required_argument, nullptr, 'j'}, + {nullptr, no_argument, nullptr, 0} // Required at the end of long_opts }; bool separate_replica_results = false; + int numCores = sysconf(_SC_NPROCESSORS_ONLN); while (true) { @@ -54,6 +60,9 @@ int main(int argc, char *argv[]) case 's': separate_replica_results = true; break; + case 'j': + numCores = std::stoi(optarg); + break; case '?': // Unrecognized option default: // Unhandled option std::cerr << "Usage: " << argv[0] << " [-s|--separate_replica_results] " << std::endl; @@ -67,6 +76,12 @@ int main(int argc, char *argv[]) exit(-1); } + // Get the number of cores + if (numCores > 1) + std::cout << "[Optimize]: Using " << numCores << " cores for Ceres Solver." << std::endl; + else + std::cout << "[Optimize]: Using 1 core." << std::endl; + // Input information int replica = atoi(argv[optind]); const std::string InputCardPath = argv[optind + 1]; @@ -129,9 +144,6 @@ int main(int argc, char *argv[]) gsl_rng *rng = gsl_rng_alloc(gsl_rng_ranlxs2); gsl_rng_set(rng, config["Data"]["seed"].as()); - // Hadronic species - const std::string hadron = config["Data"]["hadron"].as(); - // Vectors of DataHandler-ConvolutionTable pairs to be fed to the chi2 std::vector> DSVect; std::vector> DSVectt; @@ -141,8 +153,9 @@ int main(int argc, char *argv[]) std::vector filenames; // Run over the data set - for (auto const &ds : config["Data"]["sets"]) + for (size_t i = 0; i < config["Data"]["sets"].size(); i++) { + auto const &ds = config["Data"]["sets"][i]; std::cout << "Initialising " << ds["name"].as() << (config["Data"]["closure_test"] ? " for closure test level " + config["Data"]["closure_test"]["level"].as() : "" ) + "...\n"; // Push back file name @@ -157,11 +170,6 @@ int main(int argc, char *argv[]) // unfluctuated data set. NangaParbat::DataHandler *DHc = new NangaParbat::DataHandler{ds["name"].as(), YAML::LoadFile(DataFolder + ds["file"].as())}; - // Check whether the hadronic species set in the configuration - // card matches with that of the data set. - if (DH->GetHadron() != hadron) - throw std::runtime_error("This data set corresponds to a hadronic species different from that set in the input configuration card"); - // Accumulate kinematic cuts std::vector > cuts; for (auto const &c : ds["cuts"]) @@ -183,11 +191,19 @@ int main(int argc, char *argv[]) if (ctlvl != 0 && ctlvl != 1 && ctlvl != 2) throw std::runtime_error("Only closure tests level 0, 1, and 2 are defined."); + std::unordered_map SetsMap; + std::unordered_map MembersMap; + for (auto const &map : config["NNAD"]["flavour maps"]) + { + SetsMap.insert({map["hadron"].as(), map["SetName"].as()}); + MembersMap.insert({map["hadron"].as(), 0}); + } + // Construct LHAPDF Parameterisation with input FF set - NangaParbat::Parameterisation *LHAPDF_FFs = new MontBlanc::LHAPDFparameterisation(config["Data"]["closure_test"]["ffset"].as(), gz); + std::shared_ptr LHAPDF_FFs = std::make_shared(SetsMap, gz, MembersMap); // Set LHAPDF set as an input and compute predictions - PH.SetInputFFs(LHAPDF_FFs->DistributionFunction()); + PH.SetInputFFs(LHAPDF_FFs->DistributionFunction(DH->GetHadron())); const std::vector theories = PH.GetPredictions([](double const &, double const &, double const &) -> double { return 0; }); // Data fluctuation seed, if zero no fluctuations @@ -249,6 +265,9 @@ int main(int argc, char *argv[]) if (config["Optimizer"]["use_nonmonotonic_steps"]) options.use_nonmonotonic_steps = config["Optimizer"]["use_nonmonotonic_steps"].as(); + // Set the number of threads to use to compute the Jacobian + options.num_threads = numCores; + // Set all tolerances to zero to ensure that all fits get to the // maximum number of iterations without stopping. options.function_tolerance = 0; @@ -332,5 +351,6 @@ int main(int argc, char *argv[]) } t.stop(true); + return 0; } diff --git a/run/Predictions.cc b/run/Predictions.cc index a275d813c..ffabd0268 100644 --- a/run/Predictions.cc +++ b/run/Predictions.cc @@ -47,14 +47,14 @@ int main(int argc, char *argv[]) break; case '?': // Unrecognized option default: // Unhandled option - std::cerr << "Usage: " << argv[0] << " [-u|--force_uncertainties] [ (default: LHAPDFSet)]" << std::endl; + std::cerr << "Usage: " << argv[0] << " [-u|--force_uncertainties] " << std::endl; exit(-1); } } if ((argc - optind) < 1) { - std::cerr << "Usage: " << argv[0] << " [ (default: LHAPDFSet)]" << std::endl; + std::cerr << "Usage: " << argv[0] << " " << std::endl; exit(-1); } @@ -65,9 +65,6 @@ int main(int argc, char *argv[]) const std::string InputCardPath = ResultFolder + "/config.yaml"; const std::string datafolder = ResultFolder + "/data/"; const std::string OutputFile = ResultFolder + "/Predictions.yaml"; - std::string LHAPDFSet = "LHAPDFSet"; - if (argc - optind >= 2) - LHAPDFSet = argv[optind + 1]; // Timer apfel::Timer t; @@ -138,22 +135,31 @@ int main(int argc, char *argv[]) std::vector avor(bins.size(), 0); std::vector stdor(bins.size(), 0); - // Get LHAPDF set - const std::vector sets = LHAPDF::mkPDFs(LHAPDFSet); + // Get LHAPDF sets + std::unordered_map> MapLHAPDFsets; + std::unordered_map MapMembers; + for (auto const& FlavMap : config["NNAD"]["flavour maps"]) + { + MapLHAPDFsets.insert({FlavMap["hadron"].as(), LHAPDF::mkPDFs(FlavMap["SetName"].as())}); + MapMembers.insert({FlavMap["hadron"].as(), 0}); + } // If the default "LHAPDFSet" we know it is a Monte Carlo set // thus compute central values and uncertanties as averages and // standard deviations... - if (LHAPDFSet == "LHAPDFSet" || force_uncertainties) + if (config["NNAD"]["flavour maps"][0]["SetName"].as().find("LHAPDFSet") == 0 || force_uncertainties) { std::vector av2(bins.size(), 0); std::vector avor2(bins.size(), 0); // Run over replicas - const int nrep = sets.size() - 1; + const int nrep = MapLHAPDFsets.at(config["NNAD"]["flavour maps"][0]["hadron"].as()).size() - 1; for (int irep = 1; irep <= nrep; irep++) { + for (auto const& FlavMap : config["NNAD"]["flavour maps"]) + MapMembers[FlavMap["hadron"].as()] = irep; + // Construct chi2 object with the irep-th replica - MontBlanc::AnalyticChiSquare chi2{DSVect, new MontBlanc::LHAPDFparameterisation{sets, gz, irep}}; + MontBlanc::AnalyticChiSquare chi2{DSVect, new MontBlanc::LHAPDFparameterisation{MapLHAPDFsets, gz, MapMembers}}; const std::vector prds = DSVect[iexp].second->GetPredictions([](double const &, double const &, double const &) -> double { return 0; }); const std::pair, double> shifts = chi2.GetSystematicShifts(iexp); @@ -176,7 +182,7 @@ int main(int argc, char *argv[]) else { // Construct chi2 object with the 0-th replica - MontBlanc::AnalyticChiSquare chi2{DSVect, new MontBlanc::LHAPDFparameterisation{sets, gz, 0}}; + MontBlanc::AnalyticChiSquare chi2{DSVect, new MontBlanc::LHAPDFparameterisation{MapLHAPDFsets, gz, MapMembers}}; const std::vector prds = DSVect[iexp].second->GetPredictions([](double const &, double const &, double const &) -> double { return 0; }); const std::pair, double> shifts = chi2.GetSystematicShifts(iexp); for (int i = 0; i < (int) bins.size(); i++) diff --git a/src/chisquare/AnalyticChiSquare.cc b/src/chisquare/AnalyticChiSquare.cc index 8e01698e7..0efc7d4d0 100644 --- a/src/chisquare/AnalyticChiSquare.cc +++ b/src/chisquare/AnalyticChiSquare.cc @@ -16,7 +16,18 @@ namespace MontBlanc NangaParbat::ChiSquare({}, FFs) { for (auto const &ds : DSVect) - ds.second->SetInputFFs(FFs->DistributionFunction()); + { + try + { + ds.second->SetInputFFs(FFs->DistributionFunction(ds.first->GetHadron())); + } + catch (std::exception const &e) + { + std::cerr << e.what() << std::endl; + std::cerr << "... " << ds.first->GetName() << std::endl; + exit(1); + } + } for (auto const &ds : DSVect) AddBlock(ds); @@ -37,8 +48,7 @@ namespace MontBlanc //_________________________________________________________________________ AnalyticChiSquare::AnalyticChiSquare(NangaParbat::Parameterisation * FFs): AnalyticChiSquare::AnalyticChiSquare({}, FFs) - { - } + {} //_________________________________________________________________________ void AnalyticChiSquare::SetParameters(std::vector const &pars) @@ -46,14 +56,14 @@ namespace MontBlanc _NPFunc->SetParameters(pars); _NPFunc->EvaluateOnGrid(); for (int ids = 0; ids < (int) _ndata.size(); ids++) - _DSVect[ids].second->SetInputFFs(_NPFunc->DistributionFunction()); + _DSVect[ids].second->SetInputFFs(_NPFunc->DistributionFunction(_DSVect[ids].first->GetHadron())); } //_________________________________________________________________________________ void AnalyticChiSquare::AddBlock(std::pair DSBlock) { // Push "DataHandler-ConvolutionTable" back - DSBlock.second->SetInputFFs(_NPFunc->DistributionFunction()); + DSBlock.second->SetInputFFs(_NPFunc->DistributionFunction(DSBlock.first->GetHadron())); _DSVect.push_back(DSBlock); _ndata.push_back(DSBlock.first->GetKinematics().ndata); const std::valarray cm = DSBlock.second->GetCutMask(); @@ -81,7 +91,7 @@ namespace MontBlanc if (ids != 0) acc += _ndata[ids-1]; - _DSVect[ids].second->SetInputFFs(_NPFunc->DistributionFunction()); + _DSVect[ids].second->SetInputFFs(_NPFunc->DistributionFunction(_DSVect[ids].first->GetHadron())); std::vector resids = GetResiduals(ids); for (int id = 0; id < _ndata[ids]; id++) @@ -92,7 +102,7 @@ namespace MontBlanc if (jacobians[ip] == nullptr) continue; - _DSVect[ids].second->SetInputFFs(_NPFunc->DistributionDerivative(ip)); + _DSVect[ids].second->SetInputFFs(_NPFunc->DistributionDerivative(ip, _DSVect[ids].first->GetHadron())); std::vector jacobs = GetResidualDerivatives(ids, 0); for (int id = 0; id < _ndata[ids]; id++) @@ -110,7 +120,7 @@ namespace MontBlanc if (ids != 0) acc += _ndata[ids - 1]; - _DSVect[ids].second->SetInputFFs(_NPFunc->DistributionFunction()); + _DSVect[ids].second->SetInputFFs(_NPFunc->DistributionFunction(_DSVect[ids].first->GetHadron())); std::vector resids = GetResiduals(ids); for (int id = 0; id < _ndata[ids]; id++) @@ -135,7 +145,7 @@ namespace MontBlanc for (int ids = 0; ids < (int) _ndata.size(); ids++) { - _DSVect[ids].second->SetInputFFs(_NPFunc->DistributionFunction()); + _DSVect[ids].second->SetInputFFs(_NPFunc->DistributionFunction(_DSVect[ids].first->GetHadron())); std::vector resids = GetResiduals(ids); for (int id = 0; id < (int) _ndata[ids]; id++) diff --git a/src/parameterisations/LHAPDFparameterisation.cc b/src/parameterisations/LHAPDFparameterisation.cc index 6234143db..b59fca467 100644 --- a/src/parameterisations/LHAPDFparameterisation.cc +++ b/src/parameterisations/LHAPDFparameterisation.cc @@ -9,38 +9,42 @@ namespace MontBlanc { //_________________________________________________________________________ - LHAPDFparameterisation::LHAPDFparameterisation(std::string const &name, std::shared_ptr g, int const& member): + LHAPDFparameterisation::LHAPDFparameterisation(std::unordered_map const &names, std::shared_ptr g, std::unordered_map const& members): NangaParbat::Parameterisation("LHAPDFparameterisation::LHAPDFparameterisation", 2, {}, false), - _FFs(LHAPDF::mkPDF(name, member)), _g(g), _cmap(apfel::DiagonalBasis{13}) { + for (auto const& name : names) + _MapFFs.insert({name.first, LHAPDF::mkPDF(name.second, members.at(name.first))}); } //_________________________________________________________________________ - LHAPDFparameterisation::LHAPDFparameterisation(LHAPDF::PDF* set, std::shared_ptr g): + LHAPDFparameterisation::LHAPDFparameterisation(std::unordered_map MapSet, std::shared_ptr g): NangaParbat::Parameterisation("LHAPDFparameterisation::LHAPDFparameterisation", 2, {}, false), - _FFs(set), + _MapFFs(MapSet), _g(g), _cmap(apfel::DiagonalBasis{13}) { } //_________________________________________________________________________ - LHAPDFparameterisation::LHAPDFparameterisation(std::vector sets, std::shared_ptr g, int const& member): + LHAPDFparameterisation::LHAPDFparameterisation(std::unordered_map> MapSets, std::shared_ptr g, std::unordered_map const& MapMember): NangaParbat::Parameterisation("LHAPDFparameterisation::LHAPDFparameterisation", 2, {}, false), - _FFs(sets[member]), _g(g), _cmap(apfel::DiagonalBasis{13}) { + for (auto const& Set : MapSets) + { + _MapFFs.insert({Set.first, Set.second[MapMember.at(Set.first)]}); + } } //_________________________________________________________________________ - std::function(double const&)> LHAPDFparameterisation::DistributionFunction() const + std::function(double const&)> LHAPDFparameterisation::DistributionFunction(std::string const& hadron) const { return [=] (double const &Q) -> apfel::Set { - return apfel::Set {_cmap, apfel::DistributionMap(*_g, [=] (double const& x, double const& Q) -> std::map { return apfel::PhysToQCDEv(_FFs->xfxQ(x, Q)); }, Q)}; + return apfel::Set {_cmap, apfel::DistributionMap(*_g, [=] (double const& x, double const& Q) -> std::map { return apfel::PhysToQCDEv(_MapFFs.at(hadron)->xfxQ(x, Q)); }, Q)}; }; } } diff --git a/src/parameterisations/NNADparameterisation.cc b/src/parameterisations/NNADparameterisation.cc index 9e86784f9..4f830d5de 100644 --- a/src/parameterisations/NNADparameterisation.cc +++ b/src/parameterisations/NNADparameterisation.cc @@ -17,34 +17,49 @@ namespace MontBlanc _Nout(_NNarchitecture.back()), _Np(_NN->GetParameterNumber()), _OutputFunction(config["output function"] ? config["output function"].as() : 1), - _g(g), - _NNderivativeSets(_Np + 1, apfel::Set {apfel::DiagonalBasis{13}, std::map{}}) + _g(g) { this->_pars = _NN->GetParameters(); // Rotation from physical to QCD-evolution basis - std::vector R; + std::vector R(13*13, 0.0); for (int i = 0; i < 13; i++) for (int j = 0; j < 13; j++) - R.push_back(apfel::RotPhysToQCDEvFull[i][j]); + R[j + 13*i] = apfel::RotPhysToQCDEvFull[i][j]; - std::vector FlavourMap = config["flavour map"].as>(); - if (13 * _Nout != (int) FlavourMap.size()) - throw std::runtime_error("[NNADparametersiation::Constructor]: FlavourMap doesn't match NNarchitecture."); - - // Combine rotation matrix with the flavour map - nnad::Matrix FlavourMapT{_Nout, 13, FlavourMap}; - - // Calculate the (Moore-Penrose) pseudo-inverse of the flavour map - if (config["combine"]) - { - if (config["combine"].as()) - FlavourMapT = FlavourMapT.PseudoInverse_LLR(); - } - else - FlavourMapT.Transpose(); - - _Rotation = nnad::Matrix {13, 13, R} * FlavourMapT; + // In principle, NNAD may parameterise more than one hadron + std::map> Rotations; + int TotalSize = 0; + for (auto &maps : config["flavour maps"]) + { + std::string hadron = maps["hadron"].as(); + std::vector FlavourMap = maps["map"].as>(); + _HadronOutputSizeMap[hadron] = (int) FlavourMap.size() / 13; + + // Layer: Rotation into full flavour basis + nnad::Matrix FlavourMapT{ _HadronOutputSizeMap[hadron], 13, FlavourMap}; + if (config["combine"] ? config["combine"].as() : false) + FlavourMapT = FlavourMapT.PseudoInverse_LLR(); + else + FlavourMapT.Transpose(); + + // Layer: Rotation to QCD evolution from full flavour basis + _Rotations[hadron] = nnad::Matrix {13, 13, R} * FlavourMapT; + + // Prepare the matrix that splits the output of the network + nnad::Matrix SplitMatrix {_HadronOutputSizeMap[hadron], _Nout, std::vector(_HadronOutputSizeMap[hadron] * _Nout, 0.0)}; + for (int j = 0; j < (int) _HadronOutputSizeMap[hadron]; j++) + SplitMatrix.SetElement(j, j + TotalSize, 1.0); + _SplitMatrices[hadron] = SplitMatrix; + + TotalSize += _HadronOutputSizeMap[hadron]; + _NNderivativeSets[hadron] = std::vector>(_Np + 1, apfel::Set {apfel::DiagonalBasis{13}, std::map{}}); + } + + // Check that the size of the maps match the output of the network + // TODO: Check if this makes sense + if (_Nout != TotalSize) + throw std::runtime_error("[NNADparametersiation::Constructor]: FlavourMap doesn't match NNarchitecture."); // Fill in grid EvaluateOnGrid(); @@ -53,78 +68,115 @@ namespace MontBlanc //_________________________________________________________________________ void NNADparameterisation::EvaluateOnGrid() { + // Get NN at 1 const std::vector nn1 = _NN->Evaluate({1}); - const std::function(double const&)> NormNN = [=] (double const& x) -> std::vector - { - // Get NN at x - std::vector nnx = _NN->Evaluate({x}); - // Subtract the NN at 1 to ensure NN(x = 1) = 0. - std::transform(nnx.begin(), nnx.end(), nn1.begin(), nnx.begin(), std::minus()); + // Loop over the hadrons + for (auto const& RotationMap : _Rotations) + { + // Construct the function that will be discretised on the grid + const std::function(double const&)> NormNN = [=] (double const& x) -> std::vector + { + // Get NN at x + std::vector nnx = _NN->Evaluate({x}); - // If _OutputFunction == 2 square the output vector. - if (_OutputFunction == 2) - std::transform(nnx.begin(), nnx.end(), nnx.begin(), nnx.begin(), std::multiplies()); + // Subtract the NN at 1 to ensure NN(x = 1) = 0. + std::transform(nnx.begin(), nnx.end(), nn1.begin(), nnx.begin(), std::minus()); - return nnx; - }; + // If _OutputFunction == 2 square the output vector. + if (_OutputFunction == 2) + std::transform(nnx.begin(), nnx.end(), nnx.begin(), nnx.begin(), std::multiplies()); - const apfel::Set outputs{apfel::DiagonalBasis{_Nout}, DistributionMap(*_g, NormNN, _Nout)}; - std::map dists; - for (int i = 0; i < 13; i++) - dists.emplace(i, outputs.Combine(_Rotation.GetLine(i))); - _NNderivativeSets[0].SetObjects(dists); + // Selects the specific hadron output + nnad::Matrix SplittedOutput = _SplitMatrices.at(RotationMap.first) * nnad::Matrix(nnx.size(), 1, nnx); + return SplittedOutput.GetVector(); + }; + + // Create a apfel::Set of apfe::Distribution which contains all the final hadrons. + const apfel::Set outputs{apfel::DiagonalBasis{_HadronOutputSizeMap[RotationMap.first]}, DistributionMap(*_g, NormNN, _HadronOutputSizeMap[RotationMap.first])}; + + std::map dists; + for (int i = 0; i < 13; i++) + dists.emplace(i, outputs.Combine(RotationMap.second.GetLine(i))); + _NNderivativeSets.at(RotationMap.first)[0].SetObjects(dists); + } + // @note: So far everything runs fine (maybe with the wrong result) + // Implement sum rules + // _NNderivativeSets["sum1"][0] = _NNderivativeSets["PI"][0] + _NNderivativeSets["KA"][0]; + // _NNderivativeSets["sum2"][0] = _NNderivativeSets["PI"][0] + _NNderivativeSets["KA"][0]; + // _NNderivativeSets["sum3"][0] = _NNderivativeSets["PI"][0] + _NNderivativeSets["KA"][0]; + // _NNderivativeSets["h+"][0] = _NNderivativeSets["hres"][0] - _NNderivativeSets["PI"][0] + _NNderivativeSets["KA"][0]; } //_________________________________________________________________________ void NNADparameterisation::DeriveOnGrid() { + // Get NN at 1 const std::vector dnn1 = _NN->Derive({1}); - const std::function(double const&)> NormNN = [=] (double const& x) -> std::vector - { - // Get NN at x - std::vector dnnx = _NN->Derive({x}); + int HadronSizeOffset = 0; - // Subtract the NN at 1 to ensure NN(x = 1) = 0. - std::transform(dnnx.begin(), dnnx.end(), dnn1.begin(), dnnx.begin(), std::minus()); - - // If _OutputFunction == 2 square the first _Nout components - // of dnnx but first multiply the derivative components, - // i.e. those after the first _Nout, by twice the first _Nout - // outputs. - if (_OutputFunction == 2) - { - // Multiply derivarives by 2 * NN(x) - for (int ip = 1; ip <= _Np; ip++) - std::transform(dnnx.begin() + ip * _Nout, dnnx.begin() + ( ip + 1 ) * _Nout, dnnx.begin(), dnnx.begin() + ip * _Nout, - [] (double const& a, double const& b) -> double { return 2 * a * b; }); - - // Now square the outputs - std::transform(dnnx.begin(), dnnx.begin() + _Nout, dnnx.begin(), dnnx.begin(), std::multiplies()); - } - - return dnnx; - }; - std::map dm = DistributionMap(*_g, NormNN, ( _Np + 1 ) * _Nout); - for (int ip = 0; ip < _Np + 1; ip++) + // Loop over the hadrons + for (auto const& RotationMap : _Rotations) { - const apfel::Set outputs{apfel::DiagonalBasis{_Nout}, std::map{std::next(dm.begin(), ip * _Nout), std::next(dm.begin(), ( ip + 1 ) * _Nout)}}; - std::map dists; - for (int i = 0; i < _Rotation.GetLines(); i++) - dists.emplace(i, outputs.Combine(_Rotation.GetLine(i))); - _NNderivativeSets[ip].SetObjects(dists); + // Construct the function that will be discretised on the grid + const int HadronOutputSize = _HadronOutputSizeMap[RotationMap.first]; + const std::function(double const&)> NormNN = [=] (double const& x) -> std::vector + { + // Get NN at x + std::vector dnnx = _NN->Derive({x}); + + // Subtract the NN at 1 to ensure NN(x = 1) = 0. + std::transform(dnnx.begin(), dnnx.end(), dnn1.begin(), dnnx.begin(), std::minus()); + + // If _OutputFunction == 2 square the first _Nout components + // of dnnx but first multiply the derivative components, + // i.e. those after the first _Nout, by twice the first _Nout + // outputs. + if (_OutputFunction == 2) + { + // Multiply derivarives by 2 * NN(x) + for (int ip = 1; ip <= _Np; ip++) + std::transform(dnnx.begin() + ip * _Nout, dnnx.begin() + ( ip + 1 ) * _Nout, dnnx.begin(), dnnx.begin() + ip * _Nout, + [] (double const& a, double const& b) -> double { return 2 * a * b; }); + + // Now square the outputs + std::transform(dnnx.begin(), dnnx.begin() + _Nout, dnnx.begin(), dnnx.begin(), std::multiplies()); + } + + std::vector FilteredOutput (HadronOutputSize * (_Np + 1), 0.0); + for (int par = 0; par < _Np + 1; par++) + { + for (int idx = 0; idx < HadronOutputSize; idx++) + { + FilteredOutput[idx + HadronOutputSize * par] = dnnx[par * _Nout + (idx + HadronSizeOffset)]; + } + } + + return FilteredOutput; + }; + + std::map dm = DistributionMap(*_g, NormNN, ( _Np + 1 ) * _HadronOutputSizeMap[RotationMap.first]); + for (int ip = 0; ip < _Np + 1; ip++) + { + const apfel::Set outputs{apfel::DiagonalBasis{_HadronOutputSizeMap[RotationMap.first]}, std::map{std::next(dm.begin(), ip * _HadronOutputSizeMap[RotationMap.first]), std::next(dm.begin(), ( ip + 1 ) * _HadronOutputSizeMap[RotationMap.first])}}; + std::map dists; + for (int i = 0; i < RotationMap.second.GetLines(); i++) + dists.emplace(i, outputs.Combine(RotationMap.second.GetLine(i))); + _NNderivativeSets.at(RotationMap.first)[ip].SetObjects(dists); + } + HadronSizeOffset += HadronOutputSize; } } //_________________________________________________________________________ - std::function(double const&)> NNADparameterisation::DistributionFunction() const + std::function(double const&)> NNADparameterisation::DistributionFunction(std::string const& hadron) const { - return [=] (double const &) -> apfel::Set { return _NNderivativeSets[0]; }; + return [=] (double const &) -> apfel::Set { return _NNderivativeSets.at(hadron)[0]; }; } //_________________________________________________________________________ - std::function(double const&)> NNADparameterisation::DistributionDerivative(int ipar) const + std::function(double const&)> NNADparameterisation::DistributionDerivative(int ipar, std::string const& hadron) const { - return [=] (double const &) -> apfel::Set { return _NNderivativeSets[ipar+1]; }; + return [=] (double const &) -> apfel::Set { return _NNderivativeSets.at(hadron)[ipar+1]; }; } } diff --git a/tests/ClosureTests.cc b/tests/ClosureTests.cc index 7ff92cfd4..749654521 100644 --- a/tests/ClosureTests.cc +++ b/tests/ClosureTests.cc @@ -47,7 +47,7 @@ int main(int argc, char *argv[]) const std::shared_ptr gz(new const apfel::Grid{vsgz}); // LHAPDF Parameterisation - NangaParbat::Parameterisation *LHAPDF_FFs = new MontBlanc::LHAPDFparameterisation("NNFF10_PIsum_nlo", gz); + NangaParbat::Parameterisation *LHAPDF_FFs = new MontBlanc::LHAPDFparameterisation({{"PI", "NNFF10_PIsum_nlo"}}, gz, {{"PI", 0}}); // Initialise GSL random-number generator gsl_rng *rng = gsl_rng_alloc(gsl_rng_ranlxs2); @@ -81,7 +81,7 @@ int main(int argc, char *argv[]) for (int j = 0; j < (int) CTVect.size(); j++) { // Pseudo data part - CTVect[j]->SetInputFFs(LHAPDF_FFs->DistributionFunction()); + CTVect[j]->SetInputFFs(LHAPDF_FFs->DistributionFunction(DHVect[replica][j]->GetHadron())); const std::vector theories = CTVect[j]->GetPredictions([](double const &, double const &, double const &) -> double { return 0; }); NangaParbat::DataHandler *PDH = new NangaParbat::DataHandler(*(DHVect[replica][j])); PDH->SetMeans(theories); diff --git a/tests/PredsComparison.cc b/tests/PredsComparison.cc index 6fe81a631..6b35e1b7a 100644 --- a/tests/PredsComparison.cc +++ b/tests/PredsComparison.cc @@ -28,7 +28,7 @@ int main(int argc, char *argv[]) { if ((argc - optind) < 1) { - std::cerr << "Usage: " << argv[0] << " [ (default: LHAPDFSet)]" << std::endl; + std::cerr << "Usage: " << argv[0] << " " << std::endl; exit(-1); } @@ -38,9 +38,6 @@ int main(int argc, char *argv[]) // Input information const std::string InputCardPath = ResultFolder + "/config.yaml"; const std::string datafolder = ResultFolder + "/data/"; - std::string LHAPDFSet = "LHAPDFSet"; - if (argc - optind >= 2) - LHAPDFSet = argv[optind + 1]; // Timer apfel::Timer t; @@ -91,8 +88,13 @@ int main(int argc, char *argv[]) } // Get LHAPDF set - std::vector sets = LHAPDF::mkPDFs(LHAPDFSet); - std::shared_ptr FFset = std::make_shared(sets[0], gz); + std::unordered_map LHAPDFSets; + for (auto const& FlavMap : config["NNAD"]["flavour maps"]) + { + std::vector sets = LHAPDF::mkPDFs(FlavMap["SetName"].as()); + LHAPDFSets.insert({FlavMap["hadron"].as(), sets[0]}); + } + std::shared_ptr FFset = std::make_shared(LHAPDFSets, gz); // Run over the experiments, compute central values and standard // deviations (of the shifted predictions) over the replicas. @@ -114,8 +116,8 @@ int main(int argc, char *argv[]) std::vector avor_legacy(bins.size(), 0); std::vector avor_new(bins.size(), 0); - DSVect_legacy[iexp].second->SetInputFFs(FFset->DistributionFunction()); - DSVect_new[iexp].second->SetInputFFs(FFset->DistributionFunction()); + DSVect_legacy[iexp].second->SetInputFFs(FFset->DistributionFunction(DSVect_legacy[iexp].first->GetHadron())); + DSVect_new[iexp].second->SetInputFFs(FFset->DistributionFunction(DSVect_legacy[iexp].first->GetHadron())); const std::vector prds_legacy = DSVect_legacy[iexp].second->GetPredictions([](double const &, double const &, double const &) -> double { return 0; }); const std::vector prds_new = DSVect_new[iexp].second->GetPredictions([](double const &, double const &, double const &) -> double { return 0; }); diff --git a/tests/Reweighting.cc b/tests/Reweighting.cc index a5fd1cd01..a89bd19ec 100644 --- a/tests/Reweighting.cc +++ b/tests/Reweighting.cc @@ -35,6 +35,9 @@ int main(int argc, char *argv[]) const std::string InputCardPath = argv[2]; const std::string DataFolder = (std::string) argv[3] + "/"; + std::cout << "WARNING: this module does not handle multiple hadrons. If the more than one hadrons are "; + std::cout << "provided in the runcard, the result will be undefined behaviour.\n"; + // Timer apfel::Timer t; @@ -91,11 +94,13 @@ int main(int argc, char *argv[]) LHAPDF::setPaths(GetCurrentWorkingDir() + "/" + LHAPDFSetLoc + "/"); // Load LHAPDF set to get the number of members - const LHAPDF::PDFSet ffset("LHAPDFSet"); + const std::string SetName = config["NNAD"]["flavour maps"][0]["SetName"].as(); + const std::string hadron = config["NNAD"]["flavour maps"][0]["hadron"].as(); + const LHAPDF::PDFSet ffset(SetName); for (int irep = 1; irep < ffset.get_entry_as("NumMembers"); irep++) { // Initialiase chi2 object LHAPDF Parameterisation - NangaParbat::ChiSquare *chi2 = new MontBlanc::AnalyticChiSquare{DSVect, new MontBlanc::LHAPDFparameterisation("LHAPDFSet", gz, irep)}; + NangaParbat::ChiSquare *chi2 = new MontBlanc::AnalyticChiSquare{DSVect, new MontBlanc::LHAPDFparameterisation({{hadron, SetName}}, gz, {{hadron, irep}})}; // Compute weight const int np = chi2->GetDataPointNumber(); From 58d7f7ef68a4a5f126eed26aea221b25e444f843 Mon Sep 17 00:00:00 2001 From: achiefa Date: Mon, 21 Apr 2025 16:06:35 +0100 Subject: [PATCH 02/29] Adapting LHAPDFGrid to multiple hadrons + formatting --- config/MAPFF30_PI_KA_NNLO.yaml | 81 +++-- inc/MontBlanc/LHAPDFparameterisation.h | 8 +- run/ComputeChi2s.cc | 2 +- run/LHAPDFGrid.cc | 299 ++++++++++-------- run/Optimize.cc | 8 +- src/CMakeLists.txt | 14 + .../LHAPDFparameterisation.cc | 2 +- src/parameterisations/NNADparameterisation.cc | 71 +++-- .../NNADparameterisation_old.cc | 130 ++++++++ src/predictions/predictionshandler.cc | 8 +- src/predictions/predictionshandler_approx.cc | 16 +- tests/PredsComparison.cc | 14 +- tests/Reweighting.cc | 4 +- 13 files changed, 422 insertions(+), 235 deletions(-) create mode 100644 src/CMakeLists.txt create mode 100644 src/parameterisations/NNADparameterisation_old.cc diff --git a/config/MAPFF30_PI_KA_NNLO.yaml b/config/MAPFF30_PI_KA_NNLO.yaml index 7c077e2e4..e600021d6 100644 --- a/config/MAPFF30_PI_KA_NNLO.yaml +++ b/config/MAPFF30_PI_KA_NNLO.yaml @@ -42,8 +42,8 @@ Predictions: ################################# # Parameters of the optimiser managed by ceres-solver Optimizer: - max_num_iterations: 3000 - chi2_tolerance: 3 + max_num_iterations: 10 + chi2_tolerance: 1000 ################################# # NNAD ################################# @@ -51,7 +51,7 @@ NNAD: # Initialisation seed seed: 4 # Architecture - architecture: [1, 20, 7] + architecture: [1, 25, 14] # The output function can be either the activation function of the # NN (0), or linear (1), or quadratic (2). If this entry is absent a # linear function is assumed. @@ -69,16 +69,17 @@ NNAD: # using charge conjugation (q->qbar). flavour maps: - # - {hadron: KA, - # map: [0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, # - u+ - # 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, # - d+ - # 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, # - s+ - # 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, # - c+ - # 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, # - b+ - # 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, # - g - # #tb bb cb sb ub db g d u s c b t - # ], - # SetName: MAPFF30_KA_NNLO} + - {hadron: KA, + map: [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, # - sb + 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, # - g + 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, # - s = ubar + 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, # - u + 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, # - d+ + 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, # - c+ + 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0 # - b+ + #tb bb cb sb ub db g d u s c b t + ], + SetName: MAPFF30_KA_NNLO} - {hadron: PI, map: [0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, # - db 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, # - g @@ -86,7 +87,7 @@ NNAD: 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, # - u 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, # - s+ 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, # - c+ - 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0 # - b+ + 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0 #tb bb cb sb ub db g d u s c b t ], SetName: MAPFF30_PI_NNLO} @@ -105,34 +106,32 @@ Data: # number of cuts determined by the name of the appropriate function # (e.g. zcut) and the allowed range. sets: - # Kaon production data - # - {name: "HERMES $K^-$ deuteron", file: "HERMES_KA_MINUS_DEUTERON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} - # - {name: "HERMES $K^-$ proton", file: "HERMES_KA_MINUS_PROTON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} - # - {name: "HERMES $K^+$ deuteron", file: "HERMES_KA_PLUS_DEUTERON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} - # - {name: "HERMES $K^+$ proton", file: "HERMES_KA_PLUS_PROTON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} - # - {name: "COMPASS $K^-$", file: "COMPASS_KA_MINUS_DECORR.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} - # - {name: "COMPASS $K^+$", file: "COMPASS_KA_PLUS_DECORR.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} - # - {name: "BELLE $K^\\pm$", file: "BELLE_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} - # - {name: "BABAR conventional $K^\\pm$", file: "BABAR_KA_PLUS_MINUS_CONVENTIONAL.yaml", cuts: [{name: zcut, min: 0.2, max: 0.9}], training fraction: 0.5} - # - {name: "TASSO 12 GeV $K^\\pm$", file: "TASSO_12_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} - # - {name: "TASSO 14 GeV $K^\\pm$", file: "TASSO_14_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} - # - {name: "TASSO 22 GeV $K^\\pm$", file: "TASSO_22_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} - # - {name: "TPC $K^\\pm$", file: "TPC_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} - # - {name: "TASSO 30 GeV $K^\\pm$", file: "TASSO_30_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} - # - {name: "TASSO 34 GeV $K^\\pm$", file: "TASSO_34_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} - # - {name: "TASSO 44 GeV $K^\\pm$", file: "TASSO_44_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} - # - {name: "TOPAZ $K^\\pm$", file: "TOPAZ_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} - # - {name: "ALEPH $K^\\pm$", file: "ALEPH_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} - # - {name: "DELPHI total $K^\\pm$", file: "DELPHI_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} - # - {name: "DELPHI $uds$ $K^\\pm$", file: "DELPHI_KA_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} - # - {name: "DELPHI bottom $K^\\pm$", file: "DELPHI_KA_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} - # - {name: "OPAL $K^\\pm$", file: "OPAL_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} - # - {name: "SLD total $K^\\pm$", file: "SLD_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} - # - {name: "SLD $uds$ $K^\\pm$", file: "SLD_KA_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} - # #- {name: "SLD charm $K^\\pm$", file: "SLD_KA_PLUS_MINUS_C.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} - # - {name: "SLD bottom $K^\\pm$", file: "SLD_KA_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "HERMES $K^-$ deuteron", file: "HERMES_KA_MINUS_DEUTERON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + - {name: "HERMES $K^-$ proton", file: "HERMES_KA_MINUS_PROTON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + - {name: "HERMES $K^+$ deuteron", file: "HERMES_KA_PLUS_DEUTERON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + - {name: "HERMES $K^+$ proton", file: "HERMES_KA_PLUS_PROTON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + - {name: "COMPASS $K^-$", file: "COMPASS_KA_MINUS_DECORR.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} + - {name: "COMPASS $K^+$", file: "COMPASS_KA_PLUS_DECORR.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} + - {name: "BELLE $K^\\pm$", file: "BELLE_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BABAR conventional $K^\\pm$", file: "BABAR_KA_PLUS_MINUS_CONVENTIONAL.yaml", cuts: [{name: zcut, min: 0.2, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 12 GeV $K^\\pm$", file: "TASSO_12_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 14 GeV $K^\\pm$", file: "TASSO_14_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 22 GeV $K^\\pm$", file: "TASSO_22_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TPC $K^\\pm$", file: "TPC_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 30 GeV $K^\\pm$", file: "TASSO_30_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 34 GeV $K^\\pm$", file: "TASSO_34_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 44 GeV $K^\\pm$", file: "TASSO_44_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TOPAZ $K^\\pm$", file: "TOPAZ_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "ALEPH $K^\\pm$", file: "ALEPH_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "DELPHI total $K^\\pm$", file: "DELPHI_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "DELPHI $uds$ $K^\\pm$", file: "DELPHI_KA_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "DELPHI bottom $K^\\pm$", file: "DELPHI_KA_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "OPAL $K^\\pm$", file: "OPAL_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "SLD total $K^\\pm$", file: "SLD_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "SLD $uds$ $K^\\pm$", file: "SLD_KA_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + #- {name: "SLD charm $K^\\pm$", file: "SLD_KA_PLUS_MINUS_C.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "SLD bottom $K^\\pm$", file: "SLD_KA_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} - # Pion production data - {name: "HERMES $\\pi^-$ deuteron", file: "HERMES_PI_MINUS_DEUTERON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} - {name: "HERMES $\\pi^-$ proton", file: "HERMES_PI_MINUS_PROTON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} - {name: "HERMES $\\pi^+$ deuteron", file: "HERMES_PI_PLUS_DEUTERON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} diff --git a/inc/MontBlanc/LHAPDFparameterisation.h b/inc/MontBlanc/LHAPDFparameterisation.h index bcb189803..c657086d5 100644 --- a/inc/MontBlanc/LHAPDFparameterisation.h +++ b/inc/MontBlanc/LHAPDFparameterisation.h @@ -37,10 +37,10 @@ namespace MontBlanc * @brief The "LHAPDFparameterisation" destructor */ ~LHAPDFparameterisation() - { - for (auto const& p : _MapFFs) - delete p.second; - } + { + for (auto const& p : _MapFFs) + delete p.second; + } /** * @brief Function that returns the parametrisation in the form of diff --git a/run/ComputeChi2s.cc b/run/ComputeChi2s.cc index 41378f285..0fcee312f 100644 --- a/run/ComputeChi2s.cc +++ b/run/ComputeChi2s.cc @@ -112,7 +112,7 @@ int main(int argc, char *argv[]) { mkdir((ResultFolder+"/IndivChi2s").c_str(), 0777); for (auto const& map : config["NNAD"]["flavour maps"]) - MembersMap.insert({map["hadron"].as(), member_index}); + MembersMap.insert({map["hadron"].as(), member_index}); compute_chi2s(ResultFolder, MembersMap, SetNamesMap, "IndivChi2s/Chi2sReplica" + std::to_string(member_index)); } else diff --git a/run/LHAPDFGrid.cc b/run/LHAPDFGrid.cc index 472acb56d..ddb1eb82e 100644 --- a/run/LHAPDFGrid.cc +++ b/run/LHAPDFGrid.cc @@ -16,6 +16,11 @@ typedef std::pair, double> PVD; typedef std::vector VPVD; typedef std::vector > VV; +typedef std::function(double const&, std::vector const&)> NNxFunc; +typedef std::function (double const&, double const&)> EvMapApfel; + +apfel::EvolutionSetup initEvSetup(YAML::Node const& config, std::string const& hadron); +void fillEvSet(NNxFunc& NNfunc, std::string const& hadron, nnad::Matrix const& SplitMatrix, nnad::Matrix const& FlavRoatation, VV const& BestPars, apfel::EvolutionSetup& es); bool wayToSort(PVD i, PVD j) { @@ -26,7 +31,7 @@ int main(int argc, char *argv[]) { if (argc < 2) { - std::cerr << "Usage: " << argv[0] << " [ (default: PIp, options: PIp, PIm, PIsum, KAp, KAm, KAsum)] [ (default: LHAPDFSet)] [ (default: all)]" << std::endl; + std::cerr << "Usage: " << argv[0] << " [ (default: LHAPDFSet_)] [ (default: all)]" << std::endl; exit(-1); } @@ -34,16 +39,18 @@ int main(int argc, char *argv[]) const std::string ResultFolder = argv[1]; // Name of the set - std::string hadron = "PIp"; - if (argc >= 3) - hadron = argv[2]; + //TODO backwards compatibility + // std::string hadron = "PIp"; + // if (argc >= 3) + // hadron = argv[2]; - std::string OutName = "LHAPDFSet"; + //TODO backwards compatibility + std::string TokenOutName = "LHAPDFSet_"; if (argc >= 4) - OutName = argv[3]; + TokenOutName = argv[2]; // Read Input Card - YAML::Node config = YAML::LoadFile(ResultFolder + "/config.yaml"); + const YAML::Node config = YAML::LoadFile(ResultFolder + "/config.yaml"); // Retrive best-fit paramaters YAML::Node bestfits = YAML::LoadFile(ResultFolder + "/BestParameters.yaml"); @@ -93,27 +100,111 @@ int main(int argc, char *argv[]) for (int j = 0; j < 13; j++) R.push_back(apfel::RotPhysToQCDEvFull[i][j]); - // Combine rotation matrix with the flavour map - nnad::Matrix FlavourMapT{Architecture.back(), 13, config["NNAD"]["flavour map"].as>()}; + // Whether the output is linear or quadratic + const int OutputFunction = (config["NNAD"]["output function"] ? config["NNAD"]["output function"].as() : 1); + + // Initialise neural network + nnad::FeedForwardNN NN{Architecture, 0, false}; + NNxFunc NNx = [&] (double const& x, std::vector const& Pars) -> std::vector + { + // Set NN parameters + NN.SetParameters(Pars); + + // Call NN at x and 1 + const std::vector nn1 = NN.Evaluate({1}); + std::vector nnx = NN.Evaluate({x}); - // Calculate the (Moore-Penrose) pseudo-inverse of the flavour map - if(config["NNAD"]["combine"]) + // Subtract the NN at 1 to ensure NN(x = 1) = 0. + std::transform(nnx.begin(), nnx.end(), nn1.begin(), nnx.begin(), std::minus()); + + // If _OutputFunction == 2 square the output vector. + if (OutputFunction == 2) + std::transform(nnx.begin(), nnx.end(), nnx.begin(), nnx.begin(), std::multiplies()); + + return nnx; + }; + + // Generate rotation matrices + int HadronOutputSize; + nnad::Matrix Rotation; + int TotalSize = 0; + for (auto &maps : config["NNAD"]["flavour maps"]) { - if(config["NNAD"]["combine"].as()) + auto hadron = maps["hadron"].as(); + + std::vector FlavourMap = maps["map"].as>(); + HadronOutputSize = (int) FlavourMap.size() / 13; + + // Layer: Rotation into full flavour basis + nnad::Matrix FlavourMapT{ HadronOutputSize, 13, FlavourMap}; + if (config["combine"] ? config["combine"].as() : false) FlavourMapT = FlavourMapT.PseudoInverse_LLR(); else FlavourMapT.Transpose(); - } - else - FlavourMapT.Transpose(); - nnad::Matrix Rotation = nnad::Matrix {13, 13, R} * FlavourMapT; - // Whether the output is linear or quadratic - const int OutputFunction = (config["NNAD"]["output function"] ? config["NNAD"]["output function"].as() : 1); + // Layer: Rotation to QCD evolution from full flavour basis + Rotation = nnad::Matrix {13, 13, R} * FlavourMapT; + + // Prepare the matrix that splits the output of the network + nnad::Matrix SplitMatrix {HadronOutputSize, Architecture.back(), std::vector(HadronOutputSize * Architecture.back(), 0.0)}; + for (int j = 0; j < (int) HadronOutputSize; j++) + SplitMatrix.SetElement(j, j + TotalSize, 1.0); + + apfel::EvolutionSetup es = initEvSetup(config, TokenOutName + hadron); + fillEvSet(NNx, hadron, SplitMatrix, Rotation, BestPars, es); + + // Custom LHAPDF-grid header + std::string GridHeader = "SetDesc: '" + es.name + " "; + if (hadron == "PIp") + GridHeader += "- pi^+ "; + else if (hadron == "PIm") + GridHeader += "- pi^- "; + else if (hadron == "PIsum") + GridHeader += "- (pi^+ + pi^-) "; + else if (hadron == "KAp") + GridHeader += "- K^+ "; + else if (hadron == "KAm") + GridHeader += "- K^- "; + else if (hadron == "KAsum") + GridHeader += "- (K^+ + K^-) "; + else + GridHeader += "- Unknown species "; + GridHeader += "FF fit at " + std::string(es.PerturbativeOrder, 'N') + "LO - mem=0 => average over replicas, "; + GridHeader += "mem=1-" + std::to_string(Nmembers) + " => Monte Carlo replicas - set generated with APFEL++'\n"; + + GridHeader += "SetIndex: 0000000\n"; + GridHeader += "SetType: fragfn\n"; + GridHeader += "Authors: R. Abdul Khalek, V. Bertone, A. Khoudli, E. R. Nocera\n"; + GridHeader += "Reference: arXiv:xxxx.xxxxx\n"; + GridHeader += "Format: lhagrid1\n"; + GridHeader += "DataVersion: 1\n"; + if (hadron.substr(0, 2) == "PI") + GridHeader += "Particle: 211\n"; + else if (hadron.substr(0, 2) == "KA") + GridHeader += "Particle: 321\n"; + else + GridHeader += "Particle: 000\n"; + GridHeader += "FlavorScheme: variable\n"; + GridHeader += "ErrorType: replicas"; - // Initialise neural network - nnad::FeedForwardNN NN{Architecture, 0, false}; + // Feed it to the initialisation class of APFEL++ and create a grid + apfel::InitialiseEvolution evpdf{es, true, GridHeader}; + + + std::string OutName = TokenOutName + hadron; + // Move set into the result folder if the set does not exist yet + std::cout << "Moving " << OutName << " to " << ResultFolder << std::endl; + std::rename(OutName.c_str(), (ResultFolder + "/" + OutName).c_str()); + + TotalSize += HadronOutputSize; + } + + return 0; +} + +[[nodiscard]] apfel::EvolutionSetup initEvSetup(YAML::Node const& config, std::string const& name) +{ // APFEL++ EvolutionSetup object apfel::EvolutionSetup es{}; @@ -127,133 +218,85 @@ int main(int argc, char *argv[]) es.Masses = es.Thresholds; es.Qmin = 1; es.Qmax = 1000; - es.name = OutName; + es.name = name; es.GridParameters = {{100, 1e-2, 3}, {100, 1e-1, 3}, {50, 6e-1, 3}, {50, 8e-1, 3}}; es.InSet.clear(); - // NN Parameterisation. First compute the average. - std::vector(double const&, double const&)>> sets - { - [&] (double const& x, double const&) -> std::map - { - // Initialise map in the QCD evolution basis - std::map EvMap{{0, 0}, {1, 0}, {2, 0}, {3, 0}, {4, 0}, {5, 0}, {6, 0}, {7, 0}, {8, 0}, {9, 0}, {10, 0}, {11, 0}, {12, 0}}; + return es; +} - // Number of replicas used for the average - const int nr = BestPars.size(); - // Now run over all replicas and accumulated - for (auto p: BestPars) - { - // Set NN parameters - NN.SetParameters(p); - - // Call NN at x and 1 - const std::vector nn1 = NN.Evaluate({1}); - std::vector nnx = NN.Evaluate({x}); - - // Subtract the NN at 1 to ensure NN(x = 1) = 0. - std::transform(nnx.begin(), nnx.end(), nn1.begin(), nnx.begin(), std::minus()); - - // If _OutputFunction == 2 square the output vector. - if (OutputFunction == 2) - std::transform(nnx.begin(), nnx.end(), nnx.begin(), nnx.begin(), std::multiplies()); - - // Rotate into the evolution basis - const nnad::Matrix nnv = Rotation * nnad::Matrix {Architecture.back(), 1, nnx}; - - // Fill in map - for (int i = 0; i < 13; i++) - { - if (!hadron.compare("PIm") || !hadron.compare("KAm")) - EvMap[i] += (!(i % 2) && i != 0 ? -1 : 1) * nnv.GetElement(i, 0) / nr; - else if (!hadron.compare("PIsum") || !hadron.compare("KAsum")) - EvMap[i] += (!(i % 2) && i != 0 ? 0 : 2) * nnv.GetElement(i, 0) / nr; - else // PIp or KAp - EvMap[i] += nnv.GetElement(i, 0) / nr; - } - } - return EvMap; - } - }; - // Now run over replicas - for (auto p: BestPars) - { - sets.push_back([&,p] (double const& x, double const&) -> std::map - { - // Set NN parameters - NN.SetParameters(p); +void fillEvSet(NNxFunc& NNfunc, + std::string const& hadron, + nnad::Matrix const& SplitMatrix, + nnad::Matrix const& FlavRoatation, + VV const& BestPars, + apfel::EvolutionSetup& es) +{ + //TODO Can we get replica_0 from replica_i? + EvMapApfel replica_0 = [&] (double const& x, double const&) -> std::map + { + // Initialise map in the QCD evolution basis + std::map EvMap{{0, 0}, {1, 0}, {2, 0}, {3, 0}, {4, 0}, {5, 0}, {6, 0}, {7, 0}, {8, 0}, {9, 0}, {10, 0}, {11, 0}, {12, 0}}; - // Call NN at x and 1 - const std::vector nn1 = NN.Evaluate({1}); - std::vector nnx = NN.Evaluate({x}); + // Number of replicas used for the average + const int nr = BestPars.size(); - // Subtract the NN at 1 to ensure NN(x = 1) = 0. - std::transform(nnx.begin(), nnx.end(), nn1.begin(), nnx.begin(), std::minus()); + // Now run over all replicas and accumulated + for (auto p: BestPars) + { + auto nnx = NNfunc(x, p); - // If _OutputFunction == 2 square the output vector. - if (OutputFunction == 2) - std::transform(nnx.begin(), nnx.end(), nnx.begin(), nnx.begin(), std::multiplies()); + // Selects the specific hadron output + nnad::Matrix SplittedOutput = SplitMatrix * nnad::Matrix(nnx.size(), 1, nnx); // Rotate into the evolution basis - const nnad::Matrix nnv = Rotation * nnad::Matrix{Architecture.back(), 1, nnx}; + const nnad::Matrix nnv = FlavRoatation * SplittedOutput; - // Fill in map (ignoring top) - std::map EvMap; + // Fill in map for (int i = 0; i < 13; i++) { if (!hadron.compare("PIm") || !hadron.compare("KAm")) - EvMap[i] += (!(i % 2) && i != 0 ? -1 : 1) * nnv.GetElement(i, 0); + EvMap[i] += (!(i % 2) && i != 0 ? -1 : 1) * nnv.GetElement(i, 0) / nr; else if (!hadron.compare("PIsum") || !hadron.compare("KAsum")) - EvMap[i] += (!(i % 2) && i != 0 ? 0 : 2) * nnv.GetElement(i, 0); + EvMap[i] += (!(i % 2) && i != 0 ? 0 : 2) * nnv.GetElement(i, 0) / nr; else // PIp or KAp - EvMap[i] += nnv.GetElement(i, 0); + EvMap[i] += nnv.GetElement(i, 0) / nr; } + } + return EvMap; + }; + std::function const&)> replica_i = [&] (std::vector const& p) -> EvMapApfel + { + return [&,p] (double const& x, double const&) -> std::map + { + // Initialise map in the QCD evolution basis + std::map EvMap{{0, 0}, {1, 0}, {2, 0}, {3, 0}, {4, 0}, {5, 0}, {6, 0}, {7, 0}, {8, 0}, {9, 0}, {10, 0}, {11, 0}, {12, 0}}; - return EvMap; - }); - } - es.InSet = sets; - - // Custom LHAPDF-grid header - std::string GridHeader = "SetDesc: '" + es.name + " "; - if (hadron == "PIp") - GridHeader += "- pi^+ "; - else if (hadron == "PIm") - GridHeader += "- pi^- "; - else if (hadron == "PIsum") - GridHeader += "- (pi^+ + pi^-) "; - else if (hadron == "KAp") - GridHeader += "- K^+ "; - else if (hadron == "KAm") - GridHeader += "- K^- "; - else if (hadron == "KAsum") - GridHeader += "- (K^+ + K^-) "; - else - GridHeader += "- Unknown species "; - GridHeader += "FF fit at " + std::string(es.PerturbativeOrder, 'N') + "LO - mem=0 => average over replicas, "; - GridHeader += "mem=1-" + std::to_string(Nmembers) + " => Monte Carlo replicas - set generated with APFEL++'\n"; - - GridHeader += "SetIndex: 0000000\n"; - GridHeader += "SetType: fragfn\n"; - GridHeader += "Authors: R. Abdul Khalek, V. Bertone, A. Khoudli, E. R. Nocera\n"; - GridHeader += "Reference: arXiv:xxxx.xxxxx\n"; - GridHeader += "Format: lhagrid1\n"; - GridHeader += "DataVersion: 1\n"; - if (hadron.substr(0, 2) == "PI") - GridHeader += "Particle: 211\n"; - else if (hadron.substr(0, 2) == "KA") - GridHeader += "Particle: 321\n"; - else - GridHeader += "Particle: 000\n"; - GridHeader += "FlavorScheme: variable\n"; - GridHeader += "ErrorType: replicas"; + auto nnx = NNfunc(x, p); - // Feed it to the initialisation class of APFEL++ and create a grid - apfel::InitialiseEvolution evpdf{es, true, GridHeader}; + // Selects the specific hadron output + nnad::Matrix SplittedOutput = SplitMatrix * nnad::Matrix(nnx.size(), 1, nnx); - // Move set into the result folder if the set does not exist yet - std::rename(OutName.c_str(), (ResultFolder + "/" + OutName).c_str()); + // Rotate into the evolution basis + const nnad::Matrix nnv = FlavRoatation * SplittedOutput; - return 0; + // Fill in map (ignoring top) + for (int i = 0; i < 13; i++) + { + if (!hadron.compare("PIm") || !hadron.compare("KAm")) + EvMap[i] += (!(i % 2) && i != 0 ? -1 : 1) * nnv.GetElement(i, 0); + else if (!hadron.compare("PIsum") || !hadron.compare("KAsum")) + EvMap[i] += (!(i % 2) && i != 0 ? 0 : 2) * nnv.GetElement(i, 0); + else // PIp or KAp + EvMap[i] += nnv.GetElement(i, 0); + } + return EvMap; + }; + }; + + es.InSet.push_back(replica_0); + for (auto p: BestPars) + es.InSet.push_back(replica_i(p)); } + diff --git a/run/Optimize.cc b/run/Optimize.cc index 646957fca..916aeb09e 100644 --- a/run/Optimize.cc +++ b/run/Optimize.cc @@ -194,10 +194,10 @@ int main(int argc, char *argv[]) std::unordered_map SetsMap; std::unordered_map MembersMap; for (auto const &map : config["NNAD"]["flavour maps"]) - { - SetsMap.insert({map["hadron"].as(), map["SetName"].as()}); - MembersMap.insert({map["hadron"].as(), 0}); - } + { + SetsMap.insert({map["hadron"].as(), map["SetName"].as()}); + MembersMap.insert({map["hadron"].as(), 0}); + } // Construct LHAPDF Parameterisation with input FF set std::shared_ptr LHAPDF_FFs = std::make_shared(SetsMap, gz, MembersMap); diff --git a/src/CMakeLists.txt b/src/CMakeLists.txt new file mode 100644 index 000000000..f45b13390 --- /dev/null +++ b/src/CMakeLists.txt @@ -0,0 +1,14 @@ +add_subdirectory(predictions) +add_subdirectory(parameterisations) +add_subdirectory(chisquare) + +option(SHARED "Build shared-libray instead of static-libray" ON) +if(SHARED) + add_library(MontBlanc SHARED $ $ $) +else(SHARED) + add_library(MontBlanc STATIC $ $ $) +endif(SHARED) + +target_link_libraries(MontBlanc ${EIGEN3_LDFLAGS} ${CERES_LIBRARIES} ${GLOG_LDFLAGS} ${GFLAGS_LDFLAGS} ${APFELXX_LIBRARIES} ${NANGAPARBAT_LIBRARIES} ${GSL_LIBRARIES}) +install(DIRECTORY ${PROJECT_SOURCE_DIR}/inc/MontBlanc DESTINATION include) +install(TARGETS MontBlanc DESTINATION lib) diff --git a/src/parameterisations/LHAPDFparameterisation.cc b/src/parameterisations/LHAPDFparameterisation.cc index b59fca467..f362bb3af 100644 --- a/src/parameterisations/LHAPDFparameterisation.cc +++ b/src/parameterisations/LHAPDFparameterisation.cc @@ -15,7 +15,7 @@ namespace MontBlanc _cmap(apfel::DiagonalBasis{13}) { for (auto const& name : names) - _MapFFs.insert({name.first, LHAPDF::mkPDF(name.second, members.at(name.first))}); + _MapFFs.insert({name.first, LHAPDF::mkPDF(name.second, members.at(name.first))}); } //_________________________________________________________________________ diff --git a/src/parameterisations/NNADparameterisation.cc b/src/parameterisations/NNADparameterisation.cc index 4f830d5de..ba2c6f991 100644 --- a/src/parameterisations/NNADparameterisation.cc +++ b/src/parameterisations/NNADparameterisation.cc @@ -31,35 +31,35 @@ namespace MontBlanc std::map> Rotations; int TotalSize = 0; for (auto &maps : config["flavour maps"]) - { - std::string hadron = maps["hadron"].as(); - std::vector FlavourMap = maps["map"].as>(); - _HadronOutputSizeMap[hadron] = (int) FlavourMap.size() / 13; - - // Layer: Rotation into full flavour basis - nnad::Matrix FlavourMapT{ _HadronOutputSizeMap[hadron], 13, FlavourMap}; - if (config["combine"] ? config["combine"].as() : false) - FlavourMapT = FlavourMapT.PseudoInverse_LLR(); - else - FlavourMapT.Transpose(); - - // Layer: Rotation to QCD evolution from full flavour basis - _Rotations[hadron] = nnad::Matrix {13, 13, R} * FlavourMapT; - - // Prepare the matrix that splits the output of the network - nnad::Matrix SplitMatrix {_HadronOutputSizeMap[hadron], _Nout, std::vector(_HadronOutputSizeMap[hadron] * _Nout, 0.0)}; - for (int j = 0; j < (int) _HadronOutputSizeMap[hadron]; j++) - SplitMatrix.SetElement(j, j + TotalSize, 1.0); - _SplitMatrices[hadron] = SplitMatrix; - - TotalSize += _HadronOutputSizeMap[hadron]; - _NNderivativeSets[hadron] = std::vector>(_Np + 1, apfel::Set {apfel::DiagonalBasis{13}, std::map{}}); - } + { + std::string hadron = maps["hadron"].as(); + std::vector FlavourMap = maps["map"].as>(); + _HadronOutputSizeMap[hadron] = (int) FlavourMap.size() / 13; + + // Layer: Rotation into full flavour basis + nnad::Matrix FlavourMapT{ _HadronOutputSizeMap[hadron], 13, FlavourMap}; + if (config["combine"] ? config["combine"].as() : false) + FlavourMapT = FlavourMapT.PseudoInverse_LLR(); + else + FlavourMapT.Transpose(); + + // Layer: Rotation to QCD evolution from full flavour basis + _Rotations[hadron] = nnad::Matrix {13, 13, R} * FlavourMapT; + + // Prepare the matrix that splits the output of the network + nnad::Matrix SplitMatrix {_HadronOutputSizeMap[hadron], _Nout, std::vector(_HadronOutputSizeMap[hadron] * _Nout, 0.0)}; + for (int j = 0; j < (int) _HadronOutputSizeMap[hadron]; j++) + SplitMatrix.SetElement(j, j + TotalSize, 1.0); + _SplitMatrices[hadron] = SplitMatrix; + + TotalSize += _HadronOutputSizeMap[hadron]; + _NNderivativeSets[hadron] = std::vector>(_Np + 1, apfel::Set {apfel::DiagonalBasis{13}, std::map{}}); + } // Check that the size of the maps match the output of the network // TODO: Check if this makes sense if (_Nout != TotalSize) - throw std::runtime_error("[NNADparametersiation::Constructor]: FlavourMap doesn't match NNarchitecture."); + throw std::runtime_error("[NNADparametersiation::Constructor]: FlavourMap doesn't match NNarchitecture."); // Fill in grid EvaluateOnGrid(); @@ -100,12 +100,13 @@ namespace MontBlanc dists.emplace(i, outputs.Combine(RotationMap.second.GetLine(i))); _NNderivativeSets.at(RotationMap.first)[0].SetObjects(dists); } - // @note: So far everything runs fine (maybe with the wrong result) - // Implement sum rules - // _NNderivativeSets["sum1"][0] = _NNderivativeSets["PI"][0] + _NNderivativeSets["KA"][0]; - // _NNderivativeSets["sum2"][0] = _NNderivativeSets["PI"][0] + _NNderivativeSets["KA"][0]; - // _NNderivativeSets["sum3"][0] = _NNderivativeSets["PI"][0] + _NNderivativeSets["KA"][0]; - // _NNderivativeSets["h+"][0] = _NNderivativeSets["hres"][0] - _NNderivativeSets["PI"][0] + _NNderivativeSets["KA"][0]; + // @note: So far everything runs fine (maybe with the wrong result) + // @todo The following lines show how we mean to implement sum rules. + // Implement sum rules + // _NNderivativeSets["sum1"][0] = _NNderivativeSets["PI"][0] + _NNderivativeSets["KA"][0]; + // _NNderivativeSets["sum2"][0] = _NNderivativeSets["PI"][0] + _NNderivativeSets["KA"][0]; + // _NNderivativeSets["sum3"][0] = _NNderivativeSets["PI"][0] + _NNderivativeSets["KA"][0]; + // _NNderivativeSets["h+"][0] = _NNderivativeSets["hres"][0] - _NNderivativeSets["PI"][0] + _NNderivativeSets["KA"][0]; } //_________________________________________________________________________ @@ -145,12 +146,12 @@ namespace MontBlanc std::vector FilteredOutput (HadronOutputSize * (_Np + 1), 0.0); for (int par = 0; par < _Np + 1; par++) - { - for (int idx = 0; idx < HadronOutputSize; idx++) { - FilteredOutput[idx + HadronOutputSize * par] = dnnx[par * _Nout + (idx + HadronSizeOffset)]; + for (int idx = 0; idx < HadronOutputSize; idx++) + { + FilteredOutput[idx + HadronOutputSize * par] = dnnx[par * _Nout + (idx + HadronSizeOffset)]; + } } - } return FilteredOutput; }; diff --git a/src/parameterisations/NNADparameterisation_old.cc b/src/parameterisations/NNADparameterisation_old.cc new file mode 100644 index 000000000..96f80a780 --- /dev/null +++ b/src/parameterisations/NNADparameterisation_old.cc @@ -0,0 +1,130 @@ +// +// Authors: Rabah Abdul Khalek: rabah.khalek@gmail.com +// Valerio Bertone: valerio.bertone@cern.ch +// Emanuele R. Nocera: emanuele.nocera@ed.ac.uk +// + +#include +#include "MontBlanc/NNADparameterisation_old.h" + +namespace MontBlanc +{ + //_________________________________________________________________________ + NNADparameterisation_old::NNADparameterisation_old(YAML::Node const &config, std::shared_ptr g): + NangaParbat::Parameterisation("NNAD", 2, {}, false), + _NNarchitecture(config["architecture"].as>()), + _NN(new nnad::FeedForwardNN(_NNarchitecture, config["seed"].as(), false)), + _Nout(_NNarchitecture.back()), + _Np(_NN->GetParameterNumber()), + _OutputFunction(config["output function"] ? config["output function"].as() : 1), + _g(g), + _NNderivativeSets(_Np + 1, apfel::Set {apfel::DiagonalBasis{13}, std::map{}}) + { + this->_pars = _NN->GetParameters(); + + // Rotation from physical to QCD-evolution basis + std::vector R; + for (int i = 0; i < 13; i++) + for (int j = 0; j < 13; j++) + R.push_back(apfel::RotPhysToQCDEvFull[i][j]); + + std::vector FlavourMap = config["flavour map"].as>(); + if (13 * _Nout != (int) FlavourMap.size()) + throw std::runtime_error("[NNADparametersiation::Constructor]: FlavourMap doesn't match NNarchitecture."); + + // Combine rotation matrix with the flavour map + nnad::Matrix FlavourMapT{_Nout, 13, FlavourMap}; + + // Calculate the (Moore-Penrose) pseudo-inverse of the flavour map + if (config["combine"]) + { + if (config["combine"].as()) + FlavourMapT = FlavourMapT.PseudoInverse_LLR(); + } + else + FlavourMapT.Transpose(); + + _Rotation = nnad::Matrix {13, 13, R} * FlavourMapT; + + // Fill in grid + EvaluateOnGrid(); + } + + //_________________________________________________________________________ + void NNADparameterisation_old::EvaluateOnGrid() + { + const std::vector nn1 = _NN->Evaluate({1}); + const std::function(double const&)> NormNN = [=] (double const& x) -> std::vector + { + // Get NN at x + std::vector nnx = _NN->Evaluate({x}); + + // Subtract the NN at 1 to ensure NN(x = 1) = 0. + std::transform(nnx.begin(), nnx.end(), nn1.begin(), nnx.begin(), std::minus()); + + // If _OutputFunction == 2 square the output vector. + if (_OutputFunction == 2) + std::transform(nnx.begin(), nnx.end(), nnx.begin(), nnx.begin(), std::multiplies()); + + return nnx; + }; + + const apfel::Set outputs{apfel::DiagonalBasis{_Nout}, DistributionMap(*_g, NormNN, _Nout)}; + std::map dists; + for (int i = 0; i < 13; i++) + dists.emplace(i, outputs.Combine(_Rotation.GetLine(i))); + _NNderivativeSets[0].SetObjects(dists); + } + + //_________________________________________________________________________ + void NNADparameterisation_old::DeriveOnGrid() + { + const std::vector dnn1 = _NN->Derive({1}); + const std::function(double const&)> NormNN = [=] (double const& x) -> std::vector + { + // Get NN at x + std::vector dnnx = _NN->Derive({x}); + + // Subtract the NN at 1 to ensure NN(x = 1) = 0. + std::transform(dnnx.begin(), dnnx.end(), dnn1.begin(), dnnx.begin(), std::minus()); + + // If _OutputFunction == 2 square the first _Nout components + // of dnnx but first multiply the derivative components, + // i.e. those after the first _Nout, by twice the first _Nout + // outputs. + if (_OutputFunction == 2) + { + // Multiply derivarives by 2 * NN(x) + for (int ip = 1; ip <= _Np; ip++) + std::transform(dnnx.begin() + ip * _Nout, dnnx.begin() + ( ip + 1 ) * _Nout, dnnx.begin(), dnnx.begin() + ip * _Nout, + [] (double const& a, double const& b) -> double { return 2 * a * b; }); + + // Now square the outputs + std::transform(dnnx.begin(), dnnx.begin() + _Nout, dnnx.begin(), dnnx.begin(), std::multiplies()); + } + + return dnnx; + }; + std::map dm = DistributionMap(*_g, NormNN, ( _Np + 1 ) * _Nout); + for (int ip = 0; ip < _Np + 1; ip++) + { + const apfel::Set outputs{apfel::DiagonalBasis{_Nout}, std::map{std::next(dm.begin(), ip * _Nout), std::next(dm.begin(), ( ip + 1 ) * _Nout)}}; + std::map dists; + for (int i = 0; i < _Rotation.GetLines(); i++) + dists.emplace(i, outputs.Combine(_Rotation.GetLine(i))); + _NNderivativeSets[ip].SetObjects(dists); + } + } + + //_________________________________________________________________________ + std::function(double const&)> NNADparameterisation_old::DistributionFunction() const + { + return [=] (double const &) -> apfel::Set { return _NNderivativeSets[0]; }; + } + + //_________________________________________________________________________ + std::function(double const&)> NNADparameterisation_old::DistributionDerivative(int ipar) const + { + return [=] (double const &) -> apfel::Set { return _NNderivativeSets[ipar+1]; }; + } +} \ No newline at end of file diff --git a/src/predictions/predictionshandler.cc b/src/predictions/predictionshandler.cc index 69bc119c4..1495c67ef 100644 --- a/src/predictions/predictionshandler.cc +++ b/src/predictions/predictionshandler.cc @@ -14,7 +14,7 @@ // Compiler guard to avoid warnings in the use of the SOURCE_DIR // The variable SOURCE_DIR is defined during the CMake configuration #ifndef SOURCE_DIR - #error "SOURCE_DIR is not defined!" +#error "SOURCE_DIR is not defined!" #endif //TABLE_DIR namespace MontBlanc @@ -294,7 +294,7 @@ namespace MontBlanc // Functions that multiply FT and FL const std::function funcL = [=] (double const& x, double const&) -> double{ return fact * 2 * ( 1 - pow(Q / Vs, 2) / x ) / x; }; - const std::function funcT = [=] (double const& x, double const&) -> double{ return fact * ( 1 + pow(1 - pow(Q / Vs, 2) / x, 2) ) / x; }; + const std::function funcT = [=] (double const& x, double const&) -> double{ return fact * ( 1 + pow(1 - pow(Q / Vs, 2) / x, 2) ) / x; }; // Transverse apfel::DoubleOperator OTns = OT0ns; @@ -457,9 +457,9 @@ namespace MontBlanc const apfel::DistributionOperator CT_qpq_3 = OTqpq3.MultiplyFirstBy(eq1eq2fq2Tq1i); const apfel::DistributionOperator CL_qpq_3 = OLqpq3.MultiplyFirstBy(eq1eq2fq2Tq1i); KiMap.insert({i, funcT * ( CT_qq_NS + CT_qg + CT_qq_ps + CT_qbq + CT_qpq_1 + CT_qpq_2 + CT_qpq_3) + funcL * (CL_qq_NS + CL_qg + CL_qq_ps + CL_qbq + CL_qpq_1 + CL_qpq_2 + CL_qpq_3 )}); - } + } - return apfel::Set{KiMap}; + return apfel::Set{KiMap}; }; // Tabulate semi-inclusive cross sections in Q diff --git a/src/predictions/predictionshandler_approx.cc b/src/predictions/predictionshandler_approx.cc index a39dc858e..6bbf215fb 100644 --- a/src/predictions/predictionshandler_approx.cc +++ b/src/predictions/predictionshandler_approx.cc @@ -268,12 +268,12 @@ namespace MontBlanc // NLO gq for F2 and FL apfel::DoubleObject D0t{{{1.0, apfel::Distribution {*_gx, [] (double const&) -> double { return 0.0; }}, apfel::Operator {*_gz, apfel::Null{}}}}}; if (PerturbativeOrder >= 1) - { - for (auto const& t: so.C21gq.GetTerms()) - D0t.AddTerm({as * t.coefficient, func2 * ( t.object1 * eqfq ), t.object2}); - for (auto const& t: so.CL1gq.GetTerms()) - D0t.AddTerm({as * t.coefficient, funcL * ( t.object1 * eqfq ), t.object2}); - } + { + for (auto const& t: so.C21gq.GetTerms()) + D0t.AddTerm({as * t.coefficient, func2 * ( t.object1 * eqfq ), t.object2}); + for (auto const& t: so.CL1gq.GetTerms()) + D0t.AddTerm({as * t.coefficient, funcL * ( t.object1 * eqfq ), t.object2}); + } KiMap.insert({0, D0t}); // Now run over the quark evolution basis @@ -537,7 +537,7 @@ namespace MontBlanc //_________________________________________________________________________ std::vector PredictionsHandlerApprox::GetPredictions(std::function const&, - std::function const&) const + std::function const&) const { return PredictionsHandlerApprox::GetPredictions([](double const &, double const &, double const &) -> double { return 0; }); } @@ -550,7 +550,7 @@ namespace MontBlanc //_________________________________________________________________________ std::vector PredictionsHandlerApprox::GetPredictions(std::function const&, - std::function const&) const + std::function const&) const { return PredictionsHandlerApprox::GetPredictions([](double const &, double const &, double const &) -> double { return 0; }); } diff --git a/tests/PredsComparison.cc b/tests/PredsComparison.cc index 6b35e1b7a..4f3b1427d 100644 --- a/tests/PredsComparison.cc +++ b/tests/PredsComparison.cc @@ -90,10 +90,10 @@ int main(int argc, char *argv[]) // Get LHAPDF set std::unordered_map LHAPDFSets; for (auto const& FlavMap : config["NNAD"]["flavour maps"]) - { - std::vector sets = LHAPDF::mkPDFs(FlavMap["SetName"].as()); - LHAPDFSets.insert({FlavMap["hadron"].as(), sets[0]}); - } + { + std::vector sets = LHAPDF::mkPDFs(FlavMap["SetName"].as()); + LHAPDFSets.insert({FlavMap["hadron"].as(), sets[0]}); + } std::shared_ptr FFset = std::make_shared(LHAPDFSets, gz); // Run over the experiments, compute central values and standard @@ -128,7 +128,7 @@ int main(int argc, char *argv[]) << std::setw(30) << std::right << "(legacy - new) / legacy" << std::setw(15) << std::right << "legacy / new" << std::endl; - std::cout << std::setw(110) << std::setfill('-') << "" << std::setfill(' ') << std::endl; + std::cout << std::setw(110) << std::setfill('-') << "" << std::setfill(' ') << std::endl; auto kin_bins = DSVect_legacy[iexp].first->GetBinning(); for (int i = 0; i < (int) bins.size(); i++) @@ -137,8 +137,8 @@ int main(int argc, char *argv[]) << std::setw(10) << std::right << kin_bins[i].Qav << " | " << kin_bins[i].xav << " | " << kin_bins[i].zav << std::setw(15) << std::right << prds_legacy[i] << std::setw(15) << std::right << prds_new[i] - << std::setw(20) << std::right << (prds_legacy[i] - prds_new[i]) / prds_legacy[i] - << std::setw(20) << std::right << prds_legacy[i] / prds_new[i] + << std::setw(20) << std::right << (prds_legacy[i] - prds_new[i]) / prds_legacy[i] + << std::setw(20) << std::right << prds_legacy[i] / prds_new[i] << std::endl; } } diff --git a/tests/Reweighting.cc b/tests/Reweighting.cc index a89bd19ec..52b2e8c71 100644 --- a/tests/Reweighting.cc +++ b/tests/Reweighting.cc @@ -35,8 +35,8 @@ int main(int argc, char *argv[]) const std::string InputCardPath = argv[2]; const std::string DataFolder = (std::string) argv[3] + "/"; - std::cout << "WARNING: this module does not handle multiple hadrons. If the more than one hadrons are "; - std::cout << "provided in the runcard, the result will be undefined behaviour.\n"; + std::cout << "WARNING: this module does not handle multiple hadrons. If the more than one hadrons are " + << "provided in the runcard, the result will be undefined behaviour.\n"; // Timer apfel::Timer t; From b7b944935aae80df007cb74019aba659eba50ea4 Mon Sep 17 00:00:00 2001 From: achiefa Date: Mon, 21 Apr 2025 17:32:19 +0100 Subject: [PATCH 03/29] Update new runcard --- config/MAPFF30_PI_KA_NNLO.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/config/MAPFF30_PI_KA_NNLO.yaml b/config/MAPFF30_PI_KA_NNLO.yaml index e600021d6..b3d2e6abc 100644 --- a/config/MAPFF30_PI_KA_NNLO.yaml +++ b/config/MAPFF30_PI_KA_NNLO.yaml @@ -42,8 +42,8 @@ Predictions: ################################# # Parameters of the optimiser managed by ceres-solver Optimizer: - max_num_iterations: 10 - chi2_tolerance: 1000 + max_num_iterations: 3000 + chi2_tolerance: 3 ################################# # NNAD ################################# From 93810da0521cf8fa006812971ab83ccbce6346b2 Mon Sep 17 00:00:00 2001 From: achiefa Date: Wed, 19 Mar 2025 15:21:37 +0000 Subject: [PATCH 04/29] First commit | adding multithreading in ceres --- config/MAPFF30_PI_KA_NNLO.yaml | 160 ++++++++++++++ inc/MontBlanc/LHAPDFparameterisation.h | 22 +- inc/MontBlanc/NNADparameterisation.h | 10 +- run/ComputeChi2s.cc | 42 ++-- run/Optimize.cc | 44 ++-- run/Predictions.cc | 28 ++- src/chisquare/AnalyticChiSquare.cc | 28 ++- .../LHAPDFparameterisation.cc | 20 +- src/parameterisations/NNADparameterisation.cc | 196 +++++++++++------- tests/ClosureTests.cc | 4 +- tests/PredsComparison.cc | 18 +- tests/Reweighting.cc | 9 +- 12 files changed, 429 insertions(+), 152 deletions(-) create mode 100644 config/MAPFF30_PI_KA_NNLO.yaml diff --git a/config/MAPFF30_PI_KA_NNLO.yaml b/config/MAPFF30_PI_KA_NNLO.yaml new file mode 100644 index 000000000..7c077e2e4 --- /dev/null +++ b/config/MAPFF30_PI_KA_NNLO.yaml @@ -0,0 +1,160 @@ +################################# +# Predictions +################################# +Predictions: + # Perturbative order, 0: LO, 1: NLO + perturbative order: 2 + + # Initial scale in GeV to be used for the DGLAP evolution of the FFs. + mu0: 5 + + # Quark thresholds + thresholds: [0, 0, 0, 1.51, 4.92] + + # Strong coupling + alphas: + aref: 0.118 + Qref: 91.1876 + + # Fine-structure constant + alphaem: + aref: 0.00776578395589 + Qref: 91.1876 + + # APFEL++ grid + xgrid: + - [100, 0.001, 3] + - [33, 0.1023293, 3] + - [48, 0.81283052, 3] + + zgrid: + - [100, 0.01, 3] + - [34, 0.20892961, 3] + - [48, 0.83176377, 3] + + # PDF set + pdfset: + name: NNPDF31_nnlo_pch_as_0118 + member: -1 #N>=0 for a specific member (0 for central) ; N<0 for all members to be used randomly(flat dist) + +################################# +# Optimiser +################################# +# Parameters of the optimiser managed by ceres-solver +Optimizer: + max_num_iterations: 3000 + chi2_tolerance: 3 +################################# +# NNAD +################################# +NNAD: + # Initialisation seed + seed: 4 + # Architecture + architecture: [1, 20, 7] + # The output function can be either the activation function of the + # NN (0), or linear (1), or quadratic (2). If this entry is absent a + # linear function is assumed. + output function: 2 + # The flavour map gives the the specific combinations of + # distributions in the physical-basis (d, u, s, ..) to be fitted to + # the data. The number of combinations has to match the number of + # nodes of the output layer of the NN given in the + # architecture. When defining the flavour map, one should keep in + # mind that the code computes predictions using the QCD-evolution + # basis (Sigma, V, T3, ...). Therefore, in general, + # QCD-evolution-like combinations should be preferred. Moreover, the + # distributions are assumed to be for the positive charge of the a + # given hadronic species. The negative distributions are derived + # using charge conjugation (q->qbar). + + flavour maps: + # - {hadron: KA, + # map: [0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, # - u+ + # 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, # - d+ + # 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, # - s+ + # 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, # - c+ + # 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, # - b+ + # 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, # - g + # #tb bb cb sb ub db g d u s c b t + # ], + # SetName: MAPFF30_KA_NNLO} + - {hadron: PI, + map: [0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, # - db + 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, # - g + 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, # - d = ubar + 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, # - u + 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, # - s+ + 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, # - c+ + 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0 # - b+ + #tb bb cb sb ub db g d u s c b t + ], + SetName: MAPFF30_PI_NNLO} +# combine: true +################################# +# Data +################################# +Data: + # Seed used for the replica generation and the splitting between + # training and validation (do not use a too large number here in + # order to avoid correlation in the replica generation). + seed: 0 + + # Datasets to be included in the fit along with specific cuts and + # traning fraction. Each single dataset can implement an arbitrary + # number of cuts determined by the name of the appropriate function + # (e.g. zcut) and the allowed range. + sets: + # Kaon production data + # - {name: "HERMES $K^-$ deuteron", file: "HERMES_KA_MINUS_DEUTERON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + # - {name: "HERMES $K^-$ proton", file: "HERMES_KA_MINUS_PROTON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + # - {name: "HERMES $K^+$ deuteron", file: "HERMES_KA_PLUS_DEUTERON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + # - {name: "HERMES $K^+$ proton", file: "HERMES_KA_PLUS_PROTON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + # - {name: "COMPASS $K^-$", file: "COMPASS_KA_MINUS_DECORR.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} + # - {name: "COMPASS $K^+$", file: "COMPASS_KA_PLUS_DECORR.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} + # - {name: "BELLE $K^\\pm$", file: "BELLE_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + # - {name: "BABAR conventional $K^\\pm$", file: "BABAR_KA_PLUS_MINUS_CONVENTIONAL.yaml", cuts: [{name: zcut, min: 0.2, max: 0.9}], training fraction: 0.5} + # - {name: "TASSO 12 GeV $K^\\pm$", file: "TASSO_12_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + # - {name: "TASSO 14 GeV $K^\\pm$", file: "TASSO_14_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + # - {name: "TASSO 22 GeV $K^\\pm$", file: "TASSO_22_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + # - {name: "TPC $K^\\pm$", file: "TPC_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + # - {name: "TASSO 30 GeV $K^\\pm$", file: "TASSO_30_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + # - {name: "TASSO 34 GeV $K^\\pm$", file: "TASSO_34_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + # - {name: "TASSO 44 GeV $K^\\pm$", file: "TASSO_44_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + # - {name: "TOPAZ $K^\\pm$", file: "TOPAZ_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + # - {name: "ALEPH $K^\\pm$", file: "ALEPH_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + # - {name: "DELPHI total $K^\\pm$", file: "DELPHI_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + # - {name: "DELPHI $uds$ $K^\\pm$", file: "DELPHI_KA_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + # - {name: "DELPHI bottom $K^\\pm$", file: "DELPHI_KA_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + # - {name: "OPAL $K^\\pm$", file: "OPAL_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + # - {name: "SLD total $K^\\pm$", file: "SLD_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + # - {name: "SLD $uds$ $K^\\pm$", file: "SLD_KA_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + # #- {name: "SLD charm $K^\\pm$", file: "SLD_KA_PLUS_MINUS_C.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + # - {name: "SLD bottom $K^\\pm$", file: "SLD_KA_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + + # Pion production data + - {name: "HERMES $\\pi^-$ deuteron", file: "HERMES_PI_MINUS_DEUTERON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + - {name: "HERMES $\\pi^-$ proton", file: "HERMES_PI_MINUS_PROTON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + - {name: "HERMES $\\pi^+$ deuteron", file: "HERMES_PI_PLUS_DEUTERON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + - {name: "HERMES $\\pi^+$ proton", file: "HERMES_PI_PLUS_PROTON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + - {name: "COMPASS $\\pi^-$", file: "COMPASS_PI_MINUS_DECORR.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} + - {name: "COMPASS $\\pi^+$", file: "COMPASS_PI_PLUS_DECORR.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} + - {name: "BELLE $\\pi^\\pm$", file: "BELLE_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BABAR prompt $\\pi^\\pm$", file: "BABAR_PI_PLUS_MINUS_PROMPT.yaml", cuts: [{name: zcut, min: 0.076, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 12 GeV $\\pi^\\pm$", file: "TASSO_12_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 14 GeV $\\pi^\\pm$", file: "TASSO_14_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 22 GeV $\\pi^\\pm$", file: "TASSO_22_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TPC $\\pi^\\pm$", file: "TPC_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 30 GeV $\\pi^\\pm$", file: "TASSO_30_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 34 GeV $\\pi^\\pm$", file: "TASSO_34_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 44 GeV $\\pi^\\pm$", file: "TASSO_44_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TOPAZ $\\pi^\\pm$", file: "TOPAZ_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "ALEPH $\\pi^\\pm$", file: "ALEPH_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "DELPHI total $\\pi^\\pm$", file: "DELPHI_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "DELPHI $uds$ $\\pi^\\pm$", file: "DELPHI_PI_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "DELPHI bottom $\\pi^\\pm$", file: "DELPHI_PI_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "OPAL $\\pi^\\pm$", file: "OPAL_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "SLD total $\\pi^\\pm$", file: "SLD_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "SLD $uds$ $\\pi^\\pm$", file: "SLD_PI_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + #- {name: "SLD charm $\\pi^\\pm$", file: "SLD_PI_PLUS_MINUS_C.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "SLD bottom $\\pi^\\pm$", file: "SLD_PI_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} \ No newline at end of file diff --git a/inc/MontBlanc/LHAPDFparameterisation.h b/inc/MontBlanc/LHAPDFparameterisation.h index f47af825b..bcb189803 100644 --- a/inc/MontBlanc/LHAPDFparameterisation.h +++ b/inc/MontBlanc/LHAPDFparameterisation.h @@ -17,36 +17,42 @@ namespace MontBlanc class LHAPDFparameterisation: public NangaParbat::Parameterisation { public: + /** * @brief The "LHAPDFparameterisation" constructor */ - LHAPDFparameterisation(std::string const &name, std::shared_ptr g, int const& member = 0); + LHAPDFparameterisation(std::unordered_map const &names, std::shared_ptr g, std::unordered_map const& members); /** * @brief The "LHAPDFparameterisation" constructor */ - LHAPDFparameterisation(LHAPDF::PDF* set, std::shared_ptr g); + LHAPDFparameterisation(std::unordered_map MapSet, std::shared_ptr g); /** * @brief The "LHAPDFparameterisation" constructor */ - LHAPDFparameterisation(std::vector sets, std::shared_ptr g, int const& member = 0); + LHAPDFparameterisation(std::unordered_map> MapSets, std::shared_ptr g, std::unordered_map const& MapMember = {}); /** * @brief The "LHAPDFparameterisation" destructor */ - ~LHAPDFparameterisation() { delete _FFs; }; + ~LHAPDFparameterisation() + { + for (auto const& p : _MapFFs) + delete p.second; + } /** * @brief Function that returns the parametrisation in the form of * a std::function. */ - std::function(double const&)> DistributionFunction() const; + std::function(double const&)> DistributionFunction(std::string const&) const; + private: - LHAPDF::PDF *_FFs; - std::shared_ptr _g; - apfel::ConvolutionMap _cmap; + std::unordered_map _MapFFs; + std::shared_ptr _g; + apfel::ConvolutionMap _cmap; }; } diff --git a/inc/MontBlanc/NNADparameterisation.h b/inc/MontBlanc/NNADparameterisation.h index 8c03efdac..03dad56f2 100644 --- a/inc/MontBlanc/NNADparameterisation.h +++ b/inc/MontBlanc/NNADparameterisation.h @@ -34,8 +34,8 @@ namespace MontBlanc void EvaluateOnGrid(); void DeriveOnGrid(); - std::function(double const&)> DistributionFunction() const; - std::function(double const&)> DistributionDerivative(int ipar) const; + std::function(double const&)> DistributionFunction(std::string const& hadron) const; + std::function(double const&)> DistributionDerivative(int ipar, std::string const& hadron) const; private: std::vector _NNarchitecture; @@ -44,7 +44,9 @@ namespace MontBlanc int _Np; int _OutputFunction; std::shared_ptr _g; - nnad::Matrix _Rotation; - std::vector> _NNderivativeSets; + std::map> _Rotations; + std::map> _SplitMatrices; + std::map>> _NNderivativeSets; + std::map _HadronOutputSizeMap; }; } diff --git a/run/ComputeChi2s.cc b/run/ComputeChi2s.cc index 0bbcb31da..41378f285 100644 --- a/run/ComputeChi2s.cc +++ b/run/ComputeChi2s.cc @@ -23,10 +23,10 @@ std::string GetCurrentWorkingDir() void usage_error_message(std::string call_name) { - std::cerr << "Usage: " << call_name << " [-a|--all_replicas] [-i|--index_result] [ (default: 0)] [ (default: LHAPDFSet)]" << std::endl; + std::cerr << "Usage: " << call_name << " [-a|--all_replicas] [-i|--index_result] [ (default: 0)]" << std::endl; } -void compute_chi2s(std::string ResultFolder, int member_index, std::string LHAPDFSet, std::string ResultName = "Chi2s.yaml"); +void compute_chi2s(std::string ResultFolder, std::unordered_map MembersMap, std::unordered_map SetNamesMap, std::string ResultName = "Chi2s.yaml"); std::string i_to_fixed_length_str(int value, int digits_count) { @@ -37,6 +37,7 @@ std::string i_to_fixed_length_str(int value, int digits_count) int main(int argc, char *argv[]) { + LHAPDF::setVerbosity(0); const char* const short_opts = "ai"; const option long_opts[] = { @@ -76,45 +77,52 @@ int main(int argc, char *argv[]) exit(-1); } - // Path to result folder + // Input information const std::string ResultFolder = argv[optind]; + const std::string InputCardPath = ResultFolder + "/config.yaml"; + YAML::Node config = YAML::LoadFile(InputCardPath); // Member index int member_index = 0; if ((argc - optind) >= 2) member_index = atoi(argv[optind+1]); - // Name of the set - std::string LHAPDFSet = "LHAPDFSet"; - if ((argc - optind) >= 3) - LHAPDFSet = argv[optind+2]; + // Name of the sets + std::unordered_map SetNamesMap; + std::unordered_map MembersMap; + for (auto const& map : config["NNAD"]["flavour maps"]) + { + SetNamesMap.insert({map["hadron"].as(), map["SetName"].as()}); + MembersMap.insert({map["hadron"].as(), 0}); + } if (compute_all_replicas) { std::cout << mkdir((ResultFolder+"/IndivChi2s").c_str(), 0777) <<"ResultFolder/IndivChi2s" << "\n"; - //std::cout << (ResultFolder+"/LHAPDFSet/LHAPDFSet_00" + std::to_string(10)+".dat").c_str() << "\n"; - //std::cout << access((ResultFolder+"/LHAPDFSet/LHAPDFSet_" + i_to_fixed_length_str(10,4)+".dat").c_str(), F_OK) << "\n"; - //std::cout << access((ResultFolder).c_str(), F_OK) << "\n"; - for(size_t i=1; access((ResultFolder+"/LHAPDFSet/LHAPDFSet_" + i_to_fixed_length_str(i,4)+".dat").c_str(), F_OK) != -1; i++) + for(size_t i=1; access((ResultFolder+ "/" + SetNamesMap[0] + "/" + SetNamesMap[0] + "_" + i_to_fixed_length_str(i,4) + ".dat").c_str(), F_OK) != -1; i++) { //std::cout<<(ResultFolder+"/LHAPDFSet/" + std::to_string(i)); - compute_chi2s(ResultFolder, i, LHAPDFSet, "IndivChi2s/Chi2sReplica" + std::to_string(i)); + for (auto const& map : config["NNAD"]["flavour maps"]) + MembersMap.insert({map["hadron"].as(), i}); + compute_chi2s(ResultFolder, MembersMap, SetNamesMap, "IndivChi2s/Chi2sReplica" + std::to_string(i)); } } else if (specify_index_result) { mkdir((ResultFolder+"/IndivChi2s").c_str(), 0777); - compute_chi2s(ResultFolder, member_index, LHAPDFSet, "IndivChi2s/Chi2sReplica" + std::to_string(member_index)); + for (auto const& map : config["NNAD"]["flavour maps"]) + MembersMap.insert({map["hadron"].as(), member_index}); + compute_chi2s(ResultFolder, MembersMap, SetNamesMap, "IndivChi2s/Chi2sReplica" + std::to_string(member_index)); } else { - compute_chi2s(ResultFolder, member_index, LHAPDFSet); + compute_chi2s(ResultFolder, MembersMap, SetNamesMap); } return 0; } -void compute_chi2s(std::string ResultFolder, int member_index, std::string LHAPDFSet, std::string ResultName) +void compute_chi2s(std::string ResultFolder, std::unordered_map MembersMap, std::unordered_map SetNamesMap, std::string ResultName) { // Timer apfel::Timer t; @@ -145,7 +153,7 @@ void compute_chi2s(std::string ResultFolder, int member_index, std::string LHAPD LHAPDF::pathsPrepend(GetCurrentWorkingDir() + "/" + ResultFolder + "/"); // LHAPDF Parameterisation - NangaParbat::Parameterisation *LHAPDF_FFs = new MontBlanc::LHAPDFparameterisation(LHAPDFSet, gz, member_index); + NangaParbat::Parameterisation *LHAPDF_FFs = new MontBlanc::LHAPDFparameterisation(SetNamesMap, gz, MembersMap); // Initialiase chi2 object NangaParbat::ChiSquare *chi2 = new MontBlanc::AnalyticChiSquare{LHAPDF_FFs}; @@ -209,4 +217,6 @@ void compute_chi2s(std::string ResultFolder, int member_index, std::string LHAPD gsl_rng_free(rng); t.stop(true); + delete LHAPDF_FFs; + delete chi2; } diff --git a/run/Optimize.cc b/run/Optimize.cc index 99f7009fa..646957fca 100644 --- a/run/Optimize.cc +++ b/run/Optimize.cc @@ -32,15 +32,21 @@ #include #include +// Unix-like system commands +#include + int main(int argc, char *argv[]) { - const char* const short_opts = "s"; + const char* const short_opts = "sj"; const option long_opts[] = { {"separate_replica_results", no_argument, nullptr, 's'}, + {"jobs", required_argument, nullptr, 'j'}, + {nullptr, no_argument, nullptr, 0} // Required at the end of long_opts }; bool separate_replica_results = false; + int numCores = sysconf(_SC_NPROCESSORS_ONLN); while (true) { @@ -54,6 +60,9 @@ int main(int argc, char *argv[]) case 's': separate_replica_results = true; break; + case 'j': + numCores = std::stoi(optarg); + break; case '?': // Unrecognized option default: // Unhandled option std::cerr << "Usage: " << argv[0] << " [-s|--separate_replica_results] " << std::endl; @@ -67,6 +76,12 @@ int main(int argc, char *argv[]) exit(-1); } + // Get the number of cores + if (numCores > 1) + std::cout << "[Optimize]: Using " << numCores << " cores for Ceres Solver." << std::endl; + else + std::cout << "[Optimize]: Using 1 core." << std::endl; + // Input information int replica = atoi(argv[optind]); const std::string InputCardPath = argv[optind + 1]; @@ -129,9 +144,6 @@ int main(int argc, char *argv[]) gsl_rng *rng = gsl_rng_alloc(gsl_rng_ranlxs2); gsl_rng_set(rng, config["Data"]["seed"].as()); - // Hadronic species - const std::string hadron = config["Data"]["hadron"].as(); - // Vectors of DataHandler-ConvolutionTable pairs to be fed to the chi2 std::vector> DSVect; std::vector> DSVectt; @@ -141,8 +153,9 @@ int main(int argc, char *argv[]) std::vector filenames; // Run over the data set - for (auto const &ds : config["Data"]["sets"]) + for (size_t i = 0; i < config["Data"]["sets"].size(); i++) { + auto const &ds = config["Data"]["sets"][i]; std::cout << "Initialising " << ds["name"].as() << (config["Data"]["closure_test"] ? " for closure test level " + config["Data"]["closure_test"]["level"].as() : "" ) + "...\n"; // Push back file name @@ -157,11 +170,6 @@ int main(int argc, char *argv[]) // unfluctuated data set. NangaParbat::DataHandler *DHc = new NangaParbat::DataHandler{ds["name"].as(), YAML::LoadFile(DataFolder + ds["file"].as())}; - // Check whether the hadronic species set in the configuration - // card matches with that of the data set. - if (DH->GetHadron() != hadron) - throw std::runtime_error("This data set corresponds to a hadronic species different from that set in the input configuration card"); - // Accumulate kinematic cuts std::vector > cuts; for (auto const &c : ds["cuts"]) @@ -183,11 +191,19 @@ int main(int argc, char *argv[]) if (ctlvl != 0 && ctlvl != 1 && ctlvl != 2) throw std::runtime_error("Only closure tests level 0, 1, and 2 are defined."); + std::unordered_map SetsMap; + std::unordered_map MembersMap; + for (auto const &map : config["NNAD"]["flavour maps"]) + { + SetsMap.insert({map["hadron"].as(), map["SetName"].as()}); + MembersMap.insert({map["hadron"].as(), 0}); + } + // Construct LHAPDF Parameterisation with input FF set - NangaParbat::Parameterisation *LHAPDF_FFs = new MontBlanc::LHAPDFparameterisation(config["Data"]["closure_test"]["ffset"].as(), gz); + std::shared_ptr LHAPDF_FFs = std::make_shared(SetsMap, gz, MembersMap); // Set LHAPDF set as an input and compute predictions - PH.SetInputFFs(LHAPDF_FFs->DistributionFunction()); + PH.SetInputFFs(LHAPDF_FFs->DistributionFunction(DH->GetHadron())); const std::vector theories = PH.GetPredictions([](double const &, double const &, double const &) -> double { return 0; }); // Data fluctuation seed, if zero no fluctuations @@ -249,6 +265,9 @@ int main(int argc, char *argv[]) if (config["Optimizer"]["use_nonmonotonic_steps"]) options.use_nonmonotonic_steps = config["Optimizer"]["use_nonmonotonic_steps"].as(); + // Set the number of threads to use to compute the Jacobian + options.num_threads = numCores; + // Set all tolerances to zero to ensure that all fits get to the // maximum number of iterations without stopping. options.function_tolerance = 0; @@ -332,5 +351,6 @@ int main(int argc, char *argv[]) } t.stop(true); + return 0; } diff --git a/run/Predictions.cc b/run/Predictions.cc index a275d813c..ffabd0268 100644 --- a/run/Predictions.cc +++ b/run/Predictions.cc @@ -47,14 +47,14 @@ int main(int argc, char *argv[]) break; case '?': // Unrecognized option default: // Unhandled option - std::cerr << "Usage: " << argv[0] << " [-u|--force_uncertainties] [ (default: LHAPDFSet)]" << std::endl; + std::cerr << "Usage: " << argv[0] << " [-u|--force_uncertainties] " << std::endl; exit(-1); } } if ((argc - optind) < 1) { - std::cerr << "Usage: " << argv[0] << " [ (default: LHAPDFSet)]" << std::endl; + std::cerr << "Usage: " << argv[0] << " " << std::endl; exit(-1); } @@ -65,9 +65,6 @@ int main(int argc, char *argv[]) const std::string InputCardPath = ResultFolder + "/config.yaml"; const std::string datafolder = ResultFolder + "/data/"; const std::string OutputFile = ResultFolder + "/Predictions.yaml"; - std::string LHAPDFSet = "LHAPDFSet"; - if (argc - optind >= 2) - LHAPDFSet = argv[optind + 1]; // Timer apfel::Timer t; @@ -138,22 +135,31 @@ int main(int argc, char *argv[]) std::vector avor(bins.size(), 0); std::vector stdor(bins.size(), 0); - // Get LHAPDF set - const std::vector sets = LHAPDF::mkPDFs(LHAPDFSet); + // Get LHAPDF sets + std::unordered_map> MapLHAPDFsets; + std::unordered_map MapMembers; + for (auto const& FlavMap : config["NNAD"]["flavour maps"]) + { + MapLHAPDFsets.insert({FlavMap["hadron"].as(), LHAPDF::mkPDFs(FlavMap["SetName"].as())}); + MapMembers.insert({FlavMap["hadron"].as(), 0}); + } // If the default "LHAPDFSet" we know it is a Monte Carlo set // thus compute central values and uncertanties as averages and // standard deviations... - if (LHAPDFSet == "LHAPDFSet" || force_uncertainties) + if (config["NNAD"]["flavour maps"][0]["SetName"].as().find("LHAPDFSet") == 0 || force_uncertainties) { std::vector av2(bins.size(), 0); std::vector avor2(bins.size(), 0); // Run over replicas - const int nrep = sets.size() - 1; + const int nrep = MapLHAPDFsets.at(config["NNAD"]["flavour maps"][0]["hadron"].as()).size() - 1; for (int irep = 1; irep <= nrep; irep++) { + for (auto const& FlavMap : config["NNAD"]["flavour maps"]) + MapMembers[FlavMap["hadron"].as()] = irep; + // Construct chi2 object with the irep-th replica - MontBlanc::AnalyticChiSquare chi2{DSVect, new MontBlanc::LHAPDFparameterisation{sets, gz, irep}}; + MontBlanc::AnalyticChiSquare chi2{DSVect, new MontBlanc::LHAPDFparameterisation{MapLHAPDFsets, gz, MapMembers}}; const std::vector prds = DSVect[iexp].second->GetPredictions([](double const &, double const &, double const &) -> double { return 0; }); const std::pair, double> shifts = chi2.GetSystematicShifts(iexp); @@ -176,7 +182,7 @@ int main(int argc, char *argv[]) else { // Construct chi2 object with the 0-th replica - MontBlanc::AnalyticChiSquare chi2{DSVect, new MontBlanc::LHAPDFparameterisation{sets, gz, 0}}; + MontBlanc::AnalyticChiSquare chi2{DSVect, new MontBlanc::LHAPDFparameterisation{MapLHAPDFsets, gz, MapMembers}}; const std::vector prds = DSVect[iexp].second->GetPredictions([](double const &, double const &, double const &) -> double { return 0; }); const std::pair, double> shifts = chi2.GetSystematicShifts(iexp); for (int i = 0; i < (int) bins.size(); i++) diff --git a/src/chisquare/AnalyticChiSquare.cc b/src/chisquare/AnalyticChiSquare.cc index 8e01698e7..0efc7d4d0 100644 --- a/src/chisquare/AnalyticChiSquare.cc +++ b/src/chisquare/AnalyticChiSquare.cc @@ -16,7 +16,18 @@ namespace MontBlanc NangaParbat::ChiSquare({}, FFs) { for (auto const &ds : DSVect) - ds.second->SetInputFFs(FFs->DistributionFunction()); + { + try + { + ds.second->SetInputFFs(FFs->DistributionFunction(ds.first->GetHadron())); + } + catch (std::exception const &e) + { + std::cerr << e.what() << std::endl; + std::cerr << "... " << ds.first->GetName() << std::endl; + exit(1); + } + } for (auto const &ds : DSVect) AddBlock(ds); @@ -37,8 +48,7 @@ namespace MontBlanc //_________________________________________________________________________ AnalyticChiSquare::AnalyticChiSquare(NangaParbat::Parameterisation * FFs): AnalyticChiSquare::AnalyticChiSquare({}, FFs) - { - } + {} //_________________________________________________________________________ void AnalyticChiSquare::SetParameters(std::vector const &pars) @@ -46,14 +56,14 @@ namespace MontBlanc _NPFunc->SetParameters(pars); _NPFunc->EvaluateOnGrid(); for (int ids = 0; ids < (int) _ndata.size(); ids++) - _DSVect[ids].second->SetInputFFs(_NPFunc->DistributionFunction()); + _DSVect[ids].second->SetInputFFs(_NPFunc->DistributionFunction(_DSVect[ids].first->GetHadron())); } //_________________________________________________________________________________ void AnalyticChiSquare::AddBlock(std::pair DSBlock) { // Push "DataHandler-ConvolutionTable" back - DSBlock.second->SetInputFFs(_NPFunc->DistributionFunction()); + DSBlock.second->SetInputFFs(_NPFunc->DistributionFunction(DSBlock.first->GetHadron())); _DSVect.push_back(DSBlock); _ndata.push_back(DSBlock.first->GetKinematics().ndata); const std::valarray cm = DSBlock.second->GetCutMask(); @@ -81,7 +91,7 @@ namespace MontBlanc if (ids != 0) acc += _ndata[ids-1]; - _DSVect[ids].second->SetInputFFs(_NPFunc->DistributionFunction()); + _DSVect[ids].second->SetInputFFs(_NPFunc->DistributionFunction(_DSVect[ids].first->GetHadron())); std::vector resids = GetResiduals(ids); for (int id = 0; id < _ndata[ids]; id++) @@ -92,7 +102,7 @@ namespace MontBlanc if (jacobians[ip] == nullptr) continue; - _DSVect[ids].second->SetInputFFs(_NPFunc->DistributionDerivative(ip)); + _DSVect[ids].second->SetInputFFs(_NPFunc->DistributionDerivative(ip, _DSVect[ids].first->GetHadron())); std::vector jacobs = GetResidualDerivatives(ids, 0); for (int id = 0; id < _ndata[ids]; id++) @@ -110,7 +120,7 @@ namespace MontBlanc if (ids != 0) acc += _ndata[ids - 1]; - _DSVect[ids].second->SetInputFFs(_NPFunc->DistributionFunction()); + _DSVect[ids].second->SetInputFFs(_NPFunc->DistributionFunction(_DSVect[ids].first->GetHadron())); std::vector resids = GetResiduals(ids); for (int id = 0; id < _ndata[ids]; id++) @@ -135,7 +145,7 @@ namespace MontBlanc for (int ids = 0; ids < (int) _ndata.size(); ids++) { - _DSVect[ids].second->SetInputFFs(_NPFunc->DistributionFunction()); + _DSVect[ids].second->SetInputFFs(_NPFunc->DistributionFunction(_DSVect[ids].first->GetHadron())); std::vector resids = GetResiduals(ids); for (int id = 0; id < (int) _ndata[ids]; id++) diff --git a/src/parameterisations/LHAPDFparameterisation.cc b/src/parameterisations/LHAPDFparameterisation.cc index 6234143db..b59fca467 100644 --- a/src/parameterisations/LHAPDFparameterisation.cc +++ b/src/parameterisations/LHAPDFparameterisation.cc @@ -9,38 +9,42 @@ namespace MontBlanc { //_________________________________________________________________________ - LHAPDFparameterisation::LHAPDFparameterisation(std::string const &name, std::shared_ptr g, int const& member): + LHAPDFparameterisation::LHAPDFparameterisation(std::unordered_map const &names, std::shared_ptr g, std::unordered_map const& members): NangaParbat::Parameterisation("LHAPDFparameterisation::LHAPDFparameterisation", 2, {}, false), - _FFs(LHAPDF::mkPDF(name, member)), _g(g), _cmap(apfel::DiagonalBasis{13}) { + for (auto const& name : names) + _MapFFs.insert({name.first, LHAPDF::mkPDF(name.second, members.at(name.first))}); } //_________________________________________________________________________ - LHAPDFparameterisation::LHAPDFparameterisation(LHAPDF::PDF* set, std::shared_ptr g): + LHAPDFparameterisation::LHAPDFparameterisation(std::unordered_map MapSet, std::shared_ptr g): NangaParbat::Parameterisation("LHAPDFparameterisation::LHAPDFparameterisation", 2, {}, false), - _FFs(set), + _MapFFs(MapSet), _g(g), _cmap(apfel::DiagonalBasis{13}) { } //_________________________________________________________________________ - LHAPDFparameterisation::LHAPDFparameterisation(std::vector sets, std::shared_ptr g, int const& member): + LHAPDFparameterisation::LHAPDFparameterisation(std::unordered_map> MapSets, std::shared_ptr g, std::unordered_map const& MapMember): NangaParbat::Parameterisation("LHAPDFparameterisation::LHAPDFparameterisation", 2, {}, false), - _FFs(sets[member]), _g(g), _cmap(apfel::DiagonalBasis{13}) { + for (auto const& Set : MapSets) + { + _MapFFs.insert({Set.first, Set.second[MapMember.at(Set.first)]}); + } } //_________________________________________________________________________ - std::function(double const&)> LHAPDFparameterisation::DistributionFunction() const + std::function(double const&)> LHAPDFparameterisation::DistributionFunction(std::string const& hadron) const { return [=] (double const &Q) -> apfel::Set { - return apfel::Set {_cmap, apfel::DistributionMap(*_g, [=] (double const& x, double const& Q) -> std::map { return apfel::PhysToQCDEv(_FFs->xfxQ(x, Q)); }, Q)}; + return apfel::Set {_cmap, apfel::DistributionMap(*_g, [=] (double const& x, double const& Q) -> std::map { return apfel::PhysToQCDEv(_MapFFs.at(hadron)->xfxQ(x, Q)); }, Q)}; }; } } diff --git a/src/parameterisations/NNADparameterisation.cc b/src/parameterisations/NNADparameterisation.cc index 9e86784f9..4f830d5de 100644 --- a/src/parameterisations/NNADparameterisation.cc +++ b/src/parameterisations/NNADparameterisation.cc @@ -17,34 +17,49 @@ namespace MontBlanc _Nout(_NNarchitecture.back()), _Np(_NN->GetParameterNumber()), _OutputFunction(config["output function"] ? config["output function"].as() : 1), - _g(g), - _NNderivativeSets(_Np + 1, apfel::Set {apfel::DiagonalBasis{13}, std::map{}}) + _g(g) { this->_pars = _NN->GetParameters(); // Rotation from physical to QCD-evolution basis - std::vector R; + std::vector R(13*13, 0.0); for (int i = 0; i < 13; i++) for (int j = 0; j < 13; j++) - R.push_back(apfel::RotPhysToQCDEvFull[i][j]); + R[j + 13*i] = apfel::RotPhysToQCDEvFull[i][j]; - std::vector FlavourMap = config["flavour map"].as>(); - if (13 * _Nout != (int) FlavourMap.size()) - throw std::runtime_error("[NNADparametersiation::Constructor]: FlavourMap doesn't match NNarchitecture."); - - // Combine rotation matrix with the flavour map - nnad::Matrix FlavourMapT{_Nout, 13, FlavourMap}; - - // Calculate the (Moore-Penrose) pseudo-inverse of the flavour map - if (config["combine"]) - { - if (config["combine"].as()) - FlavourMapT = FlavourMapT.PseudoInverse_LLR(); - } - else - FlavourMapT.Transpose(); - - _Rotation = nnad::Matrix {13, 13, R} * FlavourMapT; + // In principle, NNAD may parameterise more than one hadron + std::map> Rotations; + int TotalSize = 0; + for (auto &maps : config["flavour maps"]) + { + std::string hadron = maps["hadron"].as(); + std::vector FlavourMap = maps["map"].as>(); + _HadronOutputSizeMap[hadron] = (int) FlavourMap.size() / 13; + + // Layer: Rotation into full flavour basis + nnad::Matrix FlavourMapT{ _HadronOutputSizeMap[hadron], 13, FlavourMap}; + if (config["combine"] ? config["combine"].as() : false) + FlavourMapT = FlavourMapT.PseudoInverse_LLR(); + else + FlavourMapT.Transpose(); + + // Layer: Rotation to QCD evolution from full flavour basis + _Rotations[hadron] = nnad::Matrix {13, 13, R} * FlavourMapT; + + // Prepare the matrix that splits the output of the network + nnad::Matrix SplitMatrix {_HadronOutputSizeMap[hadron], _Nout, std::vector(_HadronOutputSizeMap[hadron] * _Nout, 0.0)}; + for (int j = 0; j < (int) _HadronOutputSizeMap[hadron]; j++) + SplitMatrix.SetElement(j, j + TotalSize, 1.0); + _SplitMatrices[hadron] = SplitMatrix; + + TotalSize += _HadronOutputSizeMap[hadron]; + _NNderivativeSets[hadron] = std::vector>(_Np + 1, apfel::Set {apfel::DiagonalBasis{13}, std::map{}}); + } + + // Check that the size of the maps match the output of the network + // TODO: Check if this makes sense + if (_Nout != TotalSize) + throw std::runtime_error("[NNADparametersiation::Constructor]: FlavourMap doesn't match NNarchitecture."); // Fill in grid EvaluateOnGrid(); @@ -53,78 +68,115 @@ namespace MontBlanc //_________________________________________________________________________ void NNADparameterisation::EvaluateOnGrid() { + // Get NN at 1 const std::vector nn1 = _NN->Evaluate({1}); - const std::function(double const&)> NormNN = [=] (double const& x) -> std::vector - { - // Get NN at x - std::vector nnx = _NN->Evaluate({x}); - // Subtract the NN at 1 to ensure NN(x = 1) = 0. - std::transform(nnx.begin(), nnx.end(), nn1.begin(), nnx.begin(), std::minus()); + // Loop over the hadrons + for (auto const& RotationMap : _Rotations) + { + // Construct the function that will be discretised on the grid + const std::function(double const&)> NormNN = [=] (double const& x) -> std::vector + { + // Get NN at x + std::vector nnx = _NN->Evaluate({x}); - // If _OutputFunction == 2 square the output vector. - if (_OutputFunction == 2) - std::transform(nnx.begin(), nnx.end(), nnx.begin(), nnx.begin(), std::multiplies()); + // Subtract the NN at 1 to ensure NN(x = 1) = 0. + std::transform(nnx.begin(), nnx.end(), nn1.begin(), nnx.begin(), std::minus()); - return nnx; - }; + // If _OutputFunction == 2 square the output vector. + if (_OutputFunction == 2) + std::transform(nnx.begin(), nnx.end(), nnx.begin(), nnx.begin(), std::multiplies()); - const apfel::Set outputs{apfel::DiagonalBasis{_Nout}, DistributionMap(*_g, NormNN, _Nout)}; - std::map dists; - for (int i = 0; i < 13; i++) - dists.emplace(i, outputs.Combine(_Rotation.GetLine(i))); - _NNderivativeSets[0].SetObjects(dists); + // Selects the specific hadron output + nnad::Matrix SplittedOutput = _SplitMatrices.at(RotationMap.first) * nnad::Matrix(nnx.size(), 1, nnx); + return SplittedOutput.GetVector(); + }; + + // Create a apfel::Set of apfe::Distribution which contains all the final hadrons. + const apfel::Set outputs{apfel::DiagonalBasis{_HadronOutputSizeMap[RotationMap.first]}, DistributionMap(*_g, NormNN, _HadronOutputSizeMap[RotationMap.first])}; + + std::map dists; + for (int i = 0; i < 13; i++) + dists.emplace(i, outputs.Combine(RotationMap.second.GetLine(i))); + _NNderivativeSets.at(RotationMap.first)[0].SetObjects(dists); + } + // @note: So far everything runs fine (maybe with the wrong result) + // Implement sum rules + // _NNderivativeSets["sum1"][0] = _NNderivativeSets["PI"][0] + _NNderivativeSets["KA"][0]; + // _NNderivativeSets["sum2"][0] = _NNderivativeSets["PI"][0] + _NNderivativeSets["KA"][0]; + // _NNderivativeSets["sum3"][0] = _NNderivativeSets["PI"][0] + _NNderivativeSets["KA"][0]; + // _NNderivativeSets["h+"][0] = _NNderivativeSets["hres"][0] - _NNderivativeSets["PI"][0] + _NNderivativeSets["KA"][0]; } //_________________________________________________________________________ void NNADparameterisation::DeriveOnGrid() { + // Get NN at 1 const std::vector dnn1 = _NN->Derive({1}); - const std::function(double const&)> NormNN = [=] (double const& x) -> std::vector - { - // Get NN at x - std::vector dnnx = _NN->Derive({x}); + int HadronSizeOffset = 0; - // Subtract the NN at 1 to ensure NN(x = 1) = 0. - std::transform(dnnx.begin(), dnnx.end(), dnn1.begin(), dnnx.begin(), std::minus()); - - // If _OutputFunction == 2 square the first _Nout components - // of dnnx but first multiply the derivative components, - // i.e. those after the first _Nout, by twice the first _Nout - // outputs. - if (_OutputFunction == 2) - { - // Multiply derivarives by 2 * NN(x) - for (int ip = 1; ip <= _Np; ip++) - std::transform(dnnx.begin() + ip * _Nout, dnnx.begin() + ( ip + 1 ) * _Nout, dnnx.begin(), dnnx.begin() + ip * _Nout, - [] (double const& a, double const& b) -> double { return 2 * a * b; }); - - // Now square the outputs - std::transform(dnnx.begin(), dnnx.begin() + _Nout, dnnx.begin(), dnnx.begin(), std::multiplies()); - } - - return dnnx; - }; - std::map dm = DistributionMap(*_g, NormNN, ( _Np + 1 ) * _Nout); - for (int ip = 0; ip < _Np + 1; ip++) + // Loop over the hadrons + for (auto const& RotationMap : _Rotations) { - const apfel::Set outputs{apfel::DiagonalBasis{_Nout}, std::map{std::next(dm.begin(), ip * _Nout), std::next(dm.begin(), ( ip + 1 ) * _Nout)}}; - std::map dists; - for (int i = 0; i < _Rotation.GetLines(); i++) - dists.emplace(i, outputs.Combine(_Rotation.GetLine(i))); - _NNderivativeSets[ip].SetObjects(dists); + // Construct the function that will be discretised on the grid + const int HadronOutputSize = _HadronOutputSizeMap[RotationMap.first]; + const std::function(double const&)> NormNN = [=] (double const& x) -> std::vector + { + // Get NN at x + std::vector dnnx = _NN->Derive({x}); + + // Subtract the NN at 1 to ensure NN(x = 1) = 0. + std::transform(dnnx.begin(), dnnx.end(), dnn1.begin(), dnnx.begin(), std::minus()); + + // If _OutputFunction == 2 square the first _Nout components + // of dnnx but first multiply the derivative components, + // i.e. those after the first _Nout, by twice the first _Nout + // outputs. + if (_OutputFunction == 2) + { + // Multiply derivarives by 2 * NN(x) + for (int ip = 1; ip <= _Np; ip++) + std::transform(dnnx.begin() + ip * _Nout, dnnx.begin() + ( ip + 1 ) * _Nout, dnnx.begin(), dnnx.begin() + ip * _Nout, + [] (double const& a, double const& b) -> double { return 2 * a * b; }); + + // Now square the outputs + std::transform(dnnx.begin(), dnnx.begin() + _Nout, dnnx.begin(), dnnx.begin(), std::multiplies()); + } + + std::vector FilteredOutput (HadronOutputSize * (_Np + 1), 0.0); + for (int par = 0; par < _Np + 1; par++) + { + for (int idx = 0; idx < HadronOutputSize; idx++) + { + FilteredOutput[idx + HadronOutputSize * par] = dnnx[par * _Nout + (idx + HadronSizeOffset)]; + } + } + + return FilteredOutput; + }; + + std::map dm = DistributionMap(*_g, NormNN, ( _Np + 1 ) * _HadronOutputSizeMap[RotationMap.first]); + for (int ip = 0; ip < _Np + 1; ip++) + { + const apfel::Set outputs{apfel::DiagonalBasis{_HadronOutputSizeMap[RotationMap.first]}, std::map{std::next(dm.begin(), ip * _HadronOutputSizeMap[RotationMap.first]), std::next(dm.begin(), ( ip + 1 ) * _HadronOutputSizeMap[RotationMap.first])}}; + std::map dists; + for (int i = 0; i < RotationMap.second.GetLines(); i++) + dists.emplace(i, outputs.Combine(RotationMap.second.GetLine(i))); + _NNderivativeSets.at(RotationMap.first)[ip].SetObjects(dists); + } + HadronSizeOffset += HadronOutputSize; } } //_________________________________________________________________________ - std::function(double const&)> NNADparameterisation::DistributionFunction() const + std::function(double const&)> NNADparameterisation::DistributionFunction(std::string const& hadron) const { - return [=] (double const &) -> apfel::Set { return _NNderivativeSets[0]; }; + return [=] (double const &) -> apfel::Set { return _NNderivativeSets.at(hadron)[0]; }; } //_________________________________________________________________________ - std::function(double const&)> NNADparameterisation::DistributionDerivative(int ipar) const + std::function(double const&)> NNADparameterisation::DistributionDerivative(int ipar, std::string const& hadron) const { - return [=] (double const &) -> apfel::Set { return _NNderivativeSets[ipar+1]; }; + return [=] (double const &) -> apfel::Set { return _NNderivativeSets.at(hadron)[ipar+1]; }; } } diff --git a/tests/ClosureTests.cc b/tests/ClosureTests.cc index 7ff92cfd4..749654521 100644 --- a/tests/ClosureTests.cc +++ b/tests/ClosureTests.cc @@ -47,7 +47,7 @@ int main(int argc, char *argv[]) const std::shared_ptr gz(new const apfel::Grid{vsgz}); // LHAPDF Parameterisation - NangaParbat::Parameterisation *LHAPDF_FFs = new MontBlanc::LHAPDFparameterisation("NNFF10_PIsum_nlo", gz); + NangaParbat::Parameterisation *LHAPDF_FFs = new MontBlanc::LHAPDFparameterisation({{"PI", "NNFF10_PIsum_nlo"}}, gz, {{"PI", 0}}); // Initialise GSL random-number generator gsl_rng *rng = gsl_rng_alloc(gsl_rng_ranlxs2); @@ -81,7 +81,7 @@ int main(int argc, char *argv[]) for (int j = 0; j < (int) CTVect.size(); j++) { // Pseudo data part - CTVect[j]->SetInputFFs(LHAPDF_FFs->DistributionFunction()); + CTVect[j]->SetInputFFs(LHAPDF_FFs->DistributionFunction(DHVect[replica][j]->GetHadron())); const std::vector theories = CTVect[j]->GetPredictions([](double const &, double const &, double const &) -> double { return 0; }); NangaParbat::DataHandler *PDH = new NangaParbat::DataHandler(*(DHVect[replica][j])); PDH->SetMeans(theories); diff --git a/tests/PredsComparison.cc b/tests/PredsComparison.cc index 6fe81a631..6b35e1b7a 100644 --- a/tests/PredsComparison.cc +++ b/tests/PredsComparison.cc @@ -28,7 +28,7 @@ int main(int argc, char *argv[]) { if ((argc - optind) < 1) { - std::cerr << "Usage: " << argv[0] << " [ (default: LHAPDFSet)]" << std::endl; + std::cerr << "Usage: " << argv[0] << " " << std::endl; exit(-1); } @@ -38,9 +38,6 @@ int main(int argc, char *argv[]) // Input information const std::string InputCardPath = ResultFolder + "/config.yaml"; const std::string datafolder = ResultFolder + "/data/"; - std::string LHAPDFSet = "LHAPDFSet"; - if (argc - optind >= 2) - LHAPDFSet = argv[optind + 1]; // Timer apfel::Timer t; @@ -91,8 +88,13 @@ int main(int argc, char *argv[]) } // Get LHAPDF set - std::vector sets = LHAPDF::mkPDFs(LHAPDFSet); - std::shared_ptr FFset = std::make_shared(sets[0], gz); + std::unordered_map LHAPDFSets; + for (auto const& FlavMap : config["NNAD"]["flavour maps"]) + { + std::vector sets = LHAPDF::mkPDFs(FlavMap["SetName"].as()); + LHAPDFSets.insert({FlavMap["hadron"].as(), sets[0]}); + } + std::shared_ptr FFset = std::make_shared(LHAPDFSets, gz); // Run over the experiments, compute central values and standard // deviations (of the shifted predictions) over the replicas. @@ -114,8 +116,8 @@ int main(int argc, char *argv[]) std::vector avor_legacy(bins.size(), 0); std::vector avor_new(bins.size(), 0); - DSVect_legacy[iexp].second->SetInputFFs(FFset->DistributionFunction()); - DSVect_new[iexp].second->SetInputFFs(FFset->DistributionFunction()); + DSVect_legacy[iexp].second->SetInputFFs(FFset->DistributionFunction(DSVect_legacy[iexp].first->GetHadron())); + DSVect_new[iexp].second->SetInputFFs(FFset->DistributionFunction(DSVect_legacy[iexp].first->GetHadron())); const std::vector prds_legacy = DSVect_legacy[iexp].second->GetPredictions([](double const &, double const &, double const &) -> double { return 0; }); const std::vector prds_new = DSVect_new[iexp].second->GetPredictions([](double const &, double const &, double const &) -> double { return 0; }); diff --git a/tests/Reweighting.cc b/tests/Reweighting.cc index a5fd1cd01..a89bd19ec 100644 --- a/tests/Reweighting.cc +++ b/tests/Reweighting.cc @@ -35,6 +35,9 @@ int main(int argc, char *argv[]) const std::string InputCardPath = argv[2]; const std::string DataFolder = (std::string) argv[3] + "/"; + std::cout << "WARNING: this module does not handle multiple hadrons. If the more than one hadrons are "; + std::cout << "provided in the runcard, the result will be undefined behaviour.\n"; + // Timer apfel::Timer t; @@ -91,11 +94,13 @@ int main(int argc, char *argv[]) LHAPDF::setPaths(GetCurrentWorkingDir() + "/" + LHAPDFSetLoc + "/"); // Load LHAPDF set to get the number of members - const LHAPDF::PDFSet ffset("LHAPDFSet"); + const std::string SetName = config["NNAD"]["flavour maps"][0]["SetName"].as(); + const std::string hadron = config["NNAD"]["flavour maps"][0]["hadron"].as(); + const LHAPDF::PDFSet ffset(SetName); for (int irep = 1; irep < ffset.get_entry_as("NumMembers"); irep++) { // Initialiase chi2 object LHAPDF Parameterisation - NangaParbat::ChiSquare *chi2 = new MontBlanc::AnalyticChiSquare{DSVect, new MontBlanc::LHAPDFparameterisation("LHAPDFSet", gz, irep)}; + NangaParbat::ChiSquare *chi2 = new MontBlanc::AnalyticChiSquare{DSVect, new MontBlanc::LHAPDFparameterisation({{hadron, SetName}}, gz, {{hadron, irep}})}; // Compute weight const int np = chi2->GetDataPointNumber(); From 65e4d8459cf2eec3cccdc1dc7b7642a6ac9d5af6 Mon Sep 17 00:00:00 2001 From: achiefa Date: Mon, 21 Apr 2025 16:06:35 +0100 Subject: [PATCH 05/29] Adapting LHAPDFGrid to multiple hadrons + formatting --- config/MAPFF30_PI_KA_NNLO.yaml | 81 +++-- inc/MontBlanc/LHAPDFparameterisation.h | 8 +- run/ComputeChi2s.cc | 2 +- run/LHAPDFGrid.cc | 299 ++++++++++-------- run/Optimize.cc | 8 +- src/CMakeLists.txt | 14 + .../LHAPDFparameterisation.cc | 2 +- src/parameterisations/NNADparameterisation.cc | 71 +++-- .../NNADparameterisation_old.cc | 130 ++++++++ src/predictions/predictionshandler.cc | 8 +- src/predictions/predictionshandler_approx.cc | 16 +- tests/PredsComparison.cc | 14 +- tests/Reweighting.cc | 4 +- 13 files changed, 422 insertions(+), 235 deletions(-) create mode 100644 src/CMakeLists.txt create mode 100644 src/parameterisations/NNADparameterisation_old.cc diff --git a/config/MAPFF30_PI_KA_NNLO.yaml b/config/MAPFF30_PI_KA_NNLO.yaml index 7c077e2e4..e600021d6 100644 --- a/config/MAPFF30_PI_KA_NNLO.yaml +++ b/config/MAPFF30_PI_KA_NNLO.yaml @@ -42,8 +42,8 @@ Predictions: ################################# # Parameters of the optimiser managed by ceres-solver Optimizer: - max_num_iterations: 3000 - chi2_tolerance: 3 + max_num_iterations: 10 + chi2_tolerance: 1000 ################################# # NNAD ################################# @@ -51,7 +51,7 @@ NNAD: # Initialisation seed seed: 4 # Architecture - architecture: [1, 20, 7] + architecture: [1, 25, 14] # The output function can be either the activation function of the # NN (0), or linear (1), or quadratic (2). If this entry is absent a # linear function is assumed. @@ -69,16 +69,17 @@ NNAD: # using charge conjugation (q->qbar). flavour maps: - # - {hadron: KA, - # map: [0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, # - u+ - # 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, # - d+ - # 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, # - s+ - # 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, # - c+ - # 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, # - b+ - # 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, # - g - # #tb bb cb sb ub db g d u s c b t - # ], - # SetName: MAPFF30_KA_NNLO} + - {hadron: KA, + map: [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, # - sb + 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, # - g + 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, # - s = ubar + 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, # - u + 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, # - d+ + 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, # - c+ + 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0 # - b+ + #tb bb cb sb ub db g d u s c b t + ], + SetName: MAPFF30_KA_NNLO} - {hadron: PI, map: [0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, # - db 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, # - g @@ -86,7 +87,7 @@ NNAD: 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, # - u 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, # - s+ 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, # - c+ - 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0 # - b+ + 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0 #tb bb cb sb ub db g d u s c b t ], SetName: MAPFF30_PI_NNLO} @@ -105,34 +106,32 @@ Data: # number of cuts determined by the name of the appropriate function # (e.g. zcut) and the allowed range. sets: - # Kaon production data - # - {name: "HERMES $K^-$ deuteron", file: "HERMES_KA_MINUS_DEUTERON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} - # - {name: "HERMES $K^-$ proton", file: "HERMES_KA_MINUS_PROTON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} - # - {name: "HERMES $K^+$ deuteron", file: "HERMES_KA_PLUS_DEUTERON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} - # - {name: "HERMES $K^+$ proton", file: "HERMES_KA_PLUS_PROTON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} - # - {name: "COMPASS $K^-$", file: "COMPASS_KA_MINUS_DECORR.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} - # - {name: "COMPASS $K^+$", file: "COMPASS_KA_PLUS_DECORR.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} - # - {name: "BELLE $K^\\pm$", file: "BELLE_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} - # - {name: "BABAR conventional $K^\\pm$", file: "BABAR_KA_PLUS_MINUS_CONVENTIONAL.yaml", cuts: [{name: zcut, min: 0.2, max: 0.9}], training fraction: 0.5} - # - {name: "TASSO 12 GeV $K^\\pm$", file: "TASSO_12_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} - # - {name: "TASSO 14 GeV $K^\\pm$", file: "TASSO_14_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} - # - {name: "TASSO 22 GeV $K^\\pm$", file: "TASSO_22_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} - # - {name: "TPC $K^\\pm$", file: "TPC_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} - # - {name: "TASSO 30 GeV $K^\\pm$", file: "TASSO_30_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} - # - {name: "TASSO 34 GeV $K^\\pm$", file: "TASSO_34_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} - # - {name: "TASSO 44 GeV $K^\\pm$", file: "TASSO_44_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} - # - {name: "TOPAZ $K^\\pm$", file: "TOPAZ_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} - # - {name: "ALEPH $K^\\pm$", file: "ALEPH_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} - # - {name: "DELPHI total $K^\\pm$", file: "DELPHI_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} - # - {name: "DELPHI $uds$ $K^\\pm$", file: "DELPHI_KA_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} - # - {name: "DELPHI bottom $K^\\pm$", file: "DELPHI_KA_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} - # - {name: "OPAL $K^\\pm$", file: "OPAL_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} - # - {name: "SLD total $K^\\pm$", file: "SLD_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} - # - {name: "SLD $uds$ $K^\\pm$", file: "SLD_KA_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} - # #- {name: "SLD charm $K^\\pm$", file: "SLD_KA_PLUS_MINUS_C.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} - # - {name: "SLD bottom $K^\\pm$", file: "SLD_KA_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "HERMES $K^-$ deuteron", file: "HERMES_KA_MINUS_DEUTERON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + - {name: "HERMES $K^-$ proton", file: "HERMES_KA_MINUS_PROTON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + - {name: "HERMES $K^+$ deuteron", file: "HERMES_KA_PLUS_DEUTERON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + - {name: "HERMES $K^+$ proton", file: "HERMES_KA_PLUS_PROTON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + - {name: "COMPASS $K^-$", file: "COMPASS_KA_MINUS_DECORR.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} + - {name: "COMPASS $K^+$", file: "COMPASS_KA_PLUS_DECORR.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} + - {name: "BELLE $K^\\pm$", file: "BELLE_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BABAR conventional $K^\\pm$", file: "BABAR_KA_PLUS_MINUS_CONVENTIONAL.yaml", cuts: [{name: zcut, min: 0.2, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 12 GeV $K^\\pm$", file: "TASSO_12_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 14 GeV $K^\\pm$", file: "TASSO_14_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 22 GeV $K^\\pm$", file: "TASSO_22_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TPC $K^\\pm$", file: "TPC_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 30 GeV $K^\\pm$", file: "TASSO_30_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 34 GeV $K^\\pm$", file: "TASSO_34_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 44 GeV $K^\\pm$", file: "TASSO_44_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TOPAZ $K^\\pm$", file: "TOPAZ_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "ALEPH $K^\\pm$", file: "ALEPH_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "DELPHI total $K^\\pm$", file: "DELPHI_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "DELPHI $uds$ $K^\\pm$", file: "DELPHI_KA_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "DELPHI bottom $K^\\pm$", file: "DELPHI_KA_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "OPAL $K^\\pm$", file: "OPAL_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "SLD total $K^\\pm$", file: "SLD_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "SLD $uds$ $K^\\pm$", file: "SLD_KA_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + #- {name: "SLD charm $K^\\pm$", file: "SLD_KA_PLUS_MINUS_C.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "SLD bottom $K^\\pm$", file: "SLD_KA_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} - # Pion production data - {name: "HERMES $\\pi^-$ deuteron", file: "HERMES_PI_MINUS_DEUTERON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} - {name: "HERMES $\\pi^-$ proton", file: "HERMES_PI_MINUS_PROTON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} - {name: "HERMES $\\pi^+$ deuteron", file: "HERMES_PI_PLUS_DEUTERON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} diff --git a/inc/MontBlanc/LHAPDFparameterisation.h b/inc/MontBlanc/LHAPDFparameterisation.h index bcb189803..c657086d5 100644 --- a/inc/MontBlanc/LHAPDFparameterisation.h +++ b/inc/MontBlanc/LHAPDFparameterisation.h @@ -37,10 +37,10 @@ namespace MontBlanc * @brief The "LHAPDFparameterisation" destructor */ ~LHAPDFparameterisation() - { - for (auto const& p : _MapFFs) - delete p.second; - } + { + for (auto const& p : _MapFFs) + delete p.second; + } /** * @brief Function that returns the parametrisation in the form of diff --git a/run/ComputeChi2s.cc b/run/ComputeChi2s.cc index 41378f285..0fcee312f 100644 --- a/run/ComputeChi2s.cc +++ b/run/ComputeChi2s.cc @@ -112,7 +112,7 @@ int main(int argc, char *argv[]) { mkdir((ResultFolder+"/IndivChi2s").c_str(), 0777); for (auto const& map : config["NNAD"]["flavour maps"]) - MembersMap.insert({map["hadron"].as(), member_index}); + MembersMap.insert({map["hadron"].as(), member_index}); compute_chi2s(ResultFolder, MembersMap, SetNamesMap, "IndivChi2s/Chi2sReplica" + std::to_string(member_index)); } else diff --git a/run/LHAPDFGrid.cc b/run/LHAPDFGrid.cc index 472acb56d..ddb1eb82e 100644 --- a/run/LHAPDFGrid.cc +++ b/run/LHAPDFGrid.cc @@ -16,6 +16,11 @@ typedef std::pair, double> PVD; typedef std::vector VPVD; typedef std::vector > VV; +typedef std::function(double const&, std::vector const&)> NNxFunc; +typedef std::function (double const&, double const&)> EvMapApfel; + +apfel::EvolutionSetup initEvSetup(YAML::Node const& config, std::string const& hadron); +void fillEvSet(NNxFunc& NNfunc, std::string const& hadron, nnad::Matrix const& SplitMatrix, nnad::Matrix const& FlavRoatation, VV const& BestPars, apfel::EvolutionSetup& es); bool wayToSort(PVD i, PVD j) { @@ -26,7 +31,7 @@ int main(int argc, char *argv[]) { if (argc < 2) { - std::cerr << "Usage: " << argv[0] << " [ (default: PIp, options: PIp, PIm, PIsum, KAp, KAm, KAsum)] [ (default: LHAPDFSet)] [ (default: all)]" << std::endl; + std::cerr << "Usage: " << argv[0] << " [ (default: LHAPDFSet_)] [ (default: all)]" << std::endl; exit(-1); } @@ -34,16 +39,18 @@ int main(int argc, char *argv[]) const std::string ResultFolder = argv[1]; // Name of the set - std::string hadron = "PIp"; - if (argc >= 3) - hadron = argv[2]; + //TODO backwards compatibility + // std::string hadron = "PIp"; + // if (argc >= 3) + // hadron = argv[2]; - std::string OutName = "LHAPDFSet"; + //TODO backwards compatibility + std::string TokenOutName = "LHAPDFSet_"; if (argc >= 4) - OutName = argv[3]; + TokenOutName = argv[2]; // Read Input Card - YAML::Node config = YAML::LoadFile(ResultFolder + "/config.yaml"); + const YAML::Node config = YAML::LoadFile(ResultFolder + "/config.yaml"); // Retrive best-fit paramaters YAML::Node bestfits = YAML::LoadFile(ResultFolder + "/BestParameters.yaml"); @@ -93,27 +100,111 @@ int main(int argc, char *argv[]) for (int j = 0; j < 13; j++) R.push_back(apfel::RotPhysToQCDEvFull[i][j]); - // Combine rotation matrix with the flavour map - nnad::Matrix FlavourMapT{Architecture.back(), 13, config["NNAD"]["flavour map"].as>()}; + // Whether the output is linear or quadratic + const int OutputFunction = (config["NNAD"]["output function"] ? config["NNAD"]["output function"].as() : 1); + + // Initialise neural network + nnad::FeedForwardNN NN{Architecture, 0, false}; + NNxFunc NNx = [&] (double const& x, std::vector const& Pars) -> std::vector + { + // Set NN parameters + NN.SetParameters(Pars); + + // Call NN at x and 1 + const std::vector nn1 = NN.Evaluate({1}); + std::vector nnx = NN.Evaluate({x}); - // Calculate the (Moore-Penrose) pseudo-inverse of the flavour map - if(config["NNAD"]["combine"]) + // Subtract the NN at 1 to ensure NN(x = 1) = 0. + std::transform(nnx.begin(), nnx.end(), nn1.begin(), nnx.begin(), std::minus()); + + // If _OutputFunction == 2 square the output vector. + if (OutputFunction == 2) + std::transform(nnx.begin(), nnx.end(), nnx.begin(), nnx.begin(), std::multiplies()); + + return nnx; + }; + + // Generate rotation matrices + int HadronOutputSize; + nnad::Matrix Rotation; + int TotalSize = 0; + for (auto &maps : config["NNAD"]["flavour maps"]) { - if(config["NNAD"]["combine"].as()) + auto hadron = maps["hadron"].as(); + + std::vector FlavourMap = maps["map"].as>(); + HadronOutputSize = (int) FlavourMap.size() / 13; + + // Layer: Rotation into full flavour basis + nnad::Matrix FlavourMapT{ HadronOutputSize, 13, FlavourMap}; + if (config["combine"] ? config["combine"].as() : false) FlavourMapT = FlavourMapT.PseudoInverse_LLR(); else FlavourMapT.Transpose(); - } - else - FlavourMapT.Transpose(); - nnad::Matrix Rotation = nnad::Matrix {13, 13, R} * FlavourMapT; - // Whether the output is linear or quadratic - const int OutputFunction = (config["NNAD"]["output function"] ? config["NNAD"]["output function"].as() : 1); + // Layer: Rotation to QCD evolution from full flavour basis + Rotation = nnad::Matrix {13, 13, R} * FlavourMapT; + + // Prepare the matrix that splits the output of the network + nnad::Matrix SplitMatrix {HadronOutputSize, Architecture.back(), std::vector(HadronOutputSize * Architecture.back(), 0.0)}; + for (int j = 0; j < (int) HadronOutputSize; j++) + SplitMatrix.SetElement(j, j + TotalSize, 1.0); + + apfel::EvolutionSetup es = initEvSetup(config, TokenOutName + hadron); + fillEvSet(NNx, hadron, SplitMatrix, Rotation, BestPars, es); + + // Custom LHAPDF-grid header + std::string GridHeader = "SetDesc: '" + es.name + " "; + if (hadron == "PIp") + GridHeader += "- pi^+ "; + else if (hadron == "PIm") + GridHeader += "- pi^- "; + else if (hadron == "PIsum") + GridHeader += "- (pi^+ + pi^-) "; + else if (hadron == "KAp") + GridHeader += "- K^+ "; + else if (hadron == "KAm") + GridHeader += "- K^- "; + else if (hadron == "KAsum") + GridHeader += "- (K^+ + K^-) "; + else + GridHeader += "- Unknown species "; + GridHeader += "FF fit at " + std::string(es.PerturbativeOrder, 'N') + "LO - mem=0 => average over replicas, "; + GridHeader += "mem=1-" + std::to_string(Nmembers) + " => Monte Carlo replicas - set generated with APFEL++'\n"; + + GridHeader += "SetIndex: 0000000\n"; + GridHeader += "SetType: fragfn\n"; + GridHeader += "Authors: R. Abdul Khalek, V. Bertone, A. Khoudli, E. R. Nocera\n"; + GridHeader += "Reference: arXiv:xxxx.xxxxx\n"; + GridHeader += "Format: lhagrid1\n"; + GridHeader += "DataVersion: 1\n"; + if (hadron.substr(0, 2) == "PI") + GridHeader += "Particle: 211\n"; + else if (hadron.substr(0, 2) == "KA") + GridHeader += "Particle: 321\n"; + else + GridHeader += "Particle: 000\n"; + GridHeader += "FlavorScheme: variable\n"; + GridHeader += "ErrorType: replicas"; - // Initialise neural network - nnad::FeedForwardNN NN{Architecture, 0, false}; + // Feed it to the initialisation class of APFEL++ and create a grid + apfel::InitialiseEvolution evpdf{es, true, GridHeader}; + + + std::string OutName = TokenOutName + hadron; + // Move set into the result folder if the set does not exist yet + std::cout << "Moving " << OutName << " to " << ResultFolder << std::endl; + std::rename(OutName.c_str(), (ResultFolder + "/" + OutName).c_str()); + + TotalSize += HadronOutputSize; + } + + return 0; +} + +[[nodiscard]] apfel::EvolutionSetup initEvSetup(YAML::Node const& config, std::string const& name) +{ // APFEL++ EvolutionSetup object apfel::EvolutionSetup es{}; @@ -127,133 +218,85 @@ int main(int argc, char *argv[]) es.Masses = es.Thresholds; es.Qmin = 1; es.Qmax = 1000; - es.name = OutName; + es.name = name; es.GridParameters = {{100, 1e-2, 3}, {100, 1e-1, 3}, {50, 6e-1, 3}, {50, 8e-1, 3}}; es.InSet.clear(); - // NN Parameterisation. First compute the average. - std::vector(double const&, double const&)>> sets - { - [&] (double const& x, double const&) -> std::map - { - // Initialise map in the QCD evolution basis - std::map EvMap{{0, 0}, {1, 0}, {2, 0}, {3, 0}, {4, 0}, {5, 0}, {6, 0}, {7, 0}, {8, 0}, {9, 0}, {10, 0}, {11, 0}, {12, 0}}; + return es; +} - // Number of replicas used for the average - const int nr = BestPars.size(); - // Now run over all replicas and accumulated - for (auto p: BestPars) - { - // Set NN parameters - NN.SetParameters(p); - - // Call NN at x and 1 - const std::vector nn1 = NN.Evaluate({1}); - std::vector nnx = NN.Evaluate({x}); - - // Subtract the NN at 1 to ensure NN(x = 1) = 0. - std::transform(nnx.begin(), nnx.end(), nn1.begin(), nnx.begin(), std::minus()); - - // If _OutputFunction == 2 square the output vector. - if (OutputFunction == 2) - std::transform(nnx.begin(), nnx.end(), nnx.begin(), nnx.begin(), std::multiplies()); - - // Rotate into the evolution basis - const nnad::Matrix nnv = Rotation * nnad::Matrix {Architecture.back(), 1, nnx}; - - // Fill in map - for (int i = 0; i < 13; i++) - { - if (!hadron.compare("PIm") || !hadron.compare("KAm")) - EvMap[i] += (!(i % 2) && i != 0 ? -1 : 1) * nnv.GetElement(i, 0) / nr; - else if (!hadron.compare("PIsum") || !hadron.compare("KAsum")) - EvMap[i] += (!(i % 2) && i != 0 ? 0 : 2) * nnv.GetElement(i, 0) / nr; - else // PIp or KAp - EvMap[i] += nnv.GetElement(i, 0) / nr; - } - } - return EvMap; - } - }; - // Now run over replicas - for (auto p: BestPars) - { - sets.push_back([&,p] (double const& x, double const&) -> std::map - { - // Set NN parameters - NN.SetParameters(p); +void fillEvSet(NNxFunc& NNfunc, + std::string const& hadron, + nnad::Matrix const& SplitMatrix, + nnad::Matrix const& FlavRoatation, + VV const& BestPars, + apfel::EvolutionSetup& es) +{ + //TODO Can we get replica_0 from replica_i? + EvMapApfel replica_0 = [&] (double const& x, double const&) -> std::map + { + // Initialise map in the QCD evolution basis + std::map EvMap{{0, 0}, {1, 0}, {2, 0}, {3, 0}, {4, 0}, {5, 0}, {6, 0}, {7, 0}, {8, 0}, {9, 0}, {10, 0}, {11, 0}, {12, 0}}; - // Call NN at x and 1 - const std::vector nn1 = NN.Evaluate({1}); - std::vector nnx = NN.Evaluate({x}); + // Number of replicas used for the average + const int nr = BestPars.size(); - // Subtract the NN at 1 to ensure NN(x = 1) = 0. - std::transform(nnx.begin(), nnx.end(), nn1.begin(), nnx.begin(), std::minus()); + // Now run over all replicas and accumulated + for (auto p: BestPars) + { + auto nnx = NNfunc(x, p); - // If _OutputFunction == 2 square the output vector. - if (OutputFunction == 2) - std::transform(nnx.begin(), nnx.end(), nnx.begin(), nnx.begin(), std::multiplies()); + // Selects the specific hadron output + nnad::Matrix SplittedOutput = SplitMatrix * nnad::Matrix(nnx.size(), 1, nnx); // Rotate into the evolution basis - const nnad::Matrix nnv = Rotation * nnad::Matrix{Architecture.back(), 1, nnx}; + const nnad::Matrix nnv = FlavRoatation * SplittedOutput; - // Fill in map (ignoring top) - std::map EvMap; + // Fill in map for (int i = 0; i < 13; i++) { if (!hadron.compare("PIm") || !hadron.compare("KAm")) - EvMap[i] += (!(i % 2) && i != 0 ? -1 : 1) * nnv.GetElement(i, 0); + EvMap[i] += (!(i % 2) && i != 0 ? -1 : 1) * nnv.GetElement(i, 0) / nr; else if (!hadron.compare("PIsum") || !hadron.compare("KAsum")) - EvMap[i] += (!(i % 2) && i != 0 ? 0 : 2) * nnv.GetElement(i, 0); + EvMap[i] += (!(i % 2) && i != 0 ? 0 : 2) * nnv.GetElement(i, 0) / nr; else // PIp or KAp - EvMap[i] += nnv.GetElement(i, 0); + EvMap[i] += nnv.GetElement(i, 0) / nr; } + } + return EvMap; + }; + std::function const&)> replica_i = [&] (std::vector const& p) -> EvMapApfel + { + return [&,p] (double const& x, double const&) -> std::map + { + // Initialise map in the QCD evolution basis + std::map EvMap{{0, 0}, {1, 0}, {2, 0}, {3, 0}, {4, 0}, {5, 0}, {6, 0}, {7, 0}, {8, 0}, {9, 0}, {10, 0}, {11, 0}, {12, 0}}; - return EvMap; - }); - } - es.InSet = sets; - - // Custom LHAPDF-grid header - std::string GridHeader = "SetDesc: '" + es.name + " "; - if (hadron == "PIp") - GridHeader += "- pi^+ "; - else if (hadron == "PIm") - GridHeader += "- pi^- "; - else if (hadron == "PIsum") - GridHeader += "- (pi^+ + pi^-) "; - else if (hadron == "KAp") - GridHeader += "- K^+ "; - else if (hadron == "KAm") - GridHeader += "- K^- "; - else if (hadron == "KAsum") - GridHeader += "- (K^+ + K^-) "; - else - GridHeader += "- Unknown species "; - GridHeader += "FF fit at " + std::string(es.PerturbativeOrder, 'N') + "LO - mem=0 => average over replicas, "; - GridHeader += "mem=1-" + std::to_string(Nmembers) + " => Monte Carlo replicas - set generated with APFEL++'\n"; - - GridHeader += "SetIndex: 0000000\n"; - GridHeader += "SetType: fragfn\n"; - GridHeader += "Authors: R. Abdul Khalek, V. Bertone, A. Khoudli, E. R. Nocera\n"; - GridHeader += "Reference: arXiv:xxxx.xxxxx\n"; - GridHeader += "Format: lhagrid1\n"; - GridHeader += "DataVersion: 1\n"; - if (hadron.substr(0, 2) == "PI") - GridHeader += "Particle: 211\n"; - else if (hadron.substr(0, 2) == "KA") - GridHeader += "Particle: 321\n"; - else - GridHeader += "Particle: 000\n"; - GridHeader += "FlavorScheme: variable\n"; - GridHeader += "ErrorType: replicas"; + auto nnx = NNfunc(x, p); - // Feed it to the initialisation class of APFEL++ and create a grid - apfel::InitialiseEvolution evpdf{es, true, GridHeader}; + // Selects the specific hadron output + nnad::Matrix SplittedOutput = SplitMatrix * nnad::Matrix(nnx.size(), 1, nnx); - // Move set into the result folder if the set does not exist yet - std::rename(OutName.c_str(), (ResultFolder + "/" + OutName).c_str()); + // Rotate into the evolution basis + const nnad::Matrix nnv = FlavRoatation * SplittedOutput; - return 0; + // Fill in map (ignoring top) + for (int i = 0; i < 13; i++) + { + if (!hadron.compare("PIm") || !hadron.compare("KAm")) + EvMap[i] += (!(i % 2) && i != 0 ? -1 : 1) * nnv.GetElement(i, 0); + else if (!hadron.compare("PIsum") || !hadron.compare("KAsum")) + EvMap[i] += (!(i % 2) && i != 0 ? 0 : 2) * nnv.GetElement(i, 0); + else // PIp or KAp + EvMap[i] += nnv.GetElement(i, 0); + } + return EvMap; + }; + }; + + es.InSet.push_back(replica_0); + for (auto p: BestPars) + es.InSet.push_back(replica_i(p)); } + diff --git a/run/Optimize.cc b/run/Optimize.cc index 646957fca..916aeb09e 100644 --- a/run/Optimize.cc +++ b/run/Optimize.cc @@ -194,10 +194,10 @@ int main(int argc, char *argv[]) std::unordered_map SetsMap; std::unordered_map MembersMap; for (auto const &map : config["NNAD"]["flavour maps"]) - { - SetsMap.insert({map["hadron"].as(), map["SetName"].as()}); - MembersMap.insert({map["hadron"].as(), 0}); - } + { + SetsMap.insert({map["hadron"].as(), map["SetName"].as()}); + MembersMap.insert({map["hadron"].as(), 0}); + } // Construct LHAPDF Parameterisation with input FF set std::shared_ptr LHAPDF_FFs = std::make_shared(SetsMap, gz, MembersMap); diff --git a/src/CMakeLists.txt b/src/CMakeLists.txt new file mode 100644 index 000000000..f45b13390 --- /dev/null +++ b/src/CMakeLists.txt @@ -0,0 +1,14 @@ +add_subdirectory(predictions) +add_subdirectory(parameterisations) +add_subdirectory(chisquare) + +option(SHARED "Build shared-libray instead of static-libray" ON) +if(SHARED) + add_library(MontBlanc SHARED $ $ $) +else(SHARED) + add_library(MontBlanc STATIC $ $ $) +endif(SHARED) + +target_link_libraries(MontBlanc ${EIGEN3_LDFLAGS} ${CERES_LIBRARIES} ${GLOG_LDFLAGS} ${GFLAGS_LDFLAGS} ${APFELXX_LIBRARIES} ${NANGAPARBAT_LIBRARIES} ${GSL_LIBRARIES}) +install(DIRECTORY ${PROJECT_SOURCE_DIR}/inc/MontBlanc DESTINATION include) +install(TARGETS MontBlanc DESTINATION lib) diff --git a/src/parameterisations/LHAPDFparameterisation.cc b/src/parameterisations/LHAPDFparameterisation.cc index b59fca467..f362bb3af 100644 --- a/src/parameterisations/LHAPDFparameterisation.cc +++ b/src/parameterisations/LHAPDFparameterisation.cc @@ -15,7 +15,7 @@ namespace MontBlanc _cmap(apfel::DiagonalBasis{13}) { for (auto const& name : names) - _MapFFs.insert({name.first, LHAPDF::mkPDF(name.second, members.at(name.first))}); + _MapFFs.insert({name.first, LHAPDF::mkPDF(name.second, members.at(name.first))}); } //_________________________________________________________________________ diff --git a/src/parameterisations/NNADparameterisation.cc b/src/parameterisations/NNADparameterisation.cc index 4f830d5de..ba2c6f991 100644 --- a/src/parameterisations/NNADparameterisation.cc +++ b/src/parameterisations/NNADparameterisation.cc @@ -31,35 +31,35 @@ namespace MontBlanc std::map> Rotations; int TotalSize = 0; for (auto &maps : config["flavour maps"]) - { - std::string hadron = maps["hadron"].as(); - std::vector FlavourMap = maps["map"].as>(); - _HadronOutputSizeMap[hadron] = (int) FlavourMap.size() / 13; - - // Layer: Rotation into full flavour basis - nnad::Matrix FlavourMapT{ _HadronOutputSizeMap[hadron], 13, FlavourMap}; - if (config["combine"] ? config["combine"].as() : false) - FlavourMapT = FlavourMapT.PseudoInverse_LLR(); - else - FlavourMapT.Transpose(); - - // Layer: Rotation to QCD evolution from full flavour basis - _Rotations[hadron] = nnad::Matrix {13, 13, R} * FlavourMapT; - - // Prepare the matrix that splits the output of the network - nnad::Matrix SplitMatrix {_HadronOutputSizeMap[hadron], _Nout, std::vector(_HadronOutputSizeMap[hadron] * _Nout, 0.0)}; - for (int j = 0; j < (int) _HadronOutputSizeMap[hadron]; j++) - SplitMatrix.SetElement(j, j + TotalSize, 1.0); - _SplitMatrices[hadron] = SplitMatrix; - - TotalSize += _HadronOutputSizeMap[hadron]; - _NNderivativeSets[hadron] = std::vector>(_Np + 1, apfel::Set {apfel::DiagonalBasis{13}, std::map{}}); - } + { + std::string hadron = maps["hadron"].as(); + std::vector FlavourMap = maps["map"].as>(); + _HadronOutputSizeMap[hadron] = (int) FlavourMap.size() / 13; + + // Layer: Rotation into full flavour basis + nnad::Matrix FlavourMapT{ _HadronOutputSizeMap[hadron], 13, FlavourMap}; + if (config["combine"] ? config["combine"].as() : false) + FlavourMapT = FlavourMapT.PseudoInverse_LLR(); + else + FlavourMapT.Transpose(); + + // Layer: Rotation to QCD evolution from full flavour basis + _Rotations[hadron] = nnad::Matrix {13, 13, R} * FlavourMapT; + + // Prepare the matrix that splits the output of the network + nnad::Matrix SplitMatrix {_HadronOutputSizeMap[hadron], _Nout, std::vector(_HadronOutputSizeMap[hadron] * _Nout, 0.0)}; + for (int j = 0; j < (int) _HadronOutputSizeMap[hadron]; j++) + SplitMatrix.SetElement(j, j + TotalSize, 1.0); + _SplitMatrices[hadron] = SplitMatrix; + + TotalSize += _HadronOutputSizeMap[hadron]; + _NNderivativeSets[hadron] = std::vector>(_Np + 1, apfel::Set {apfel::DiagonalBasis{13}, std::map{}}); + } // Check that the size of the maps match the output of the network // TODO: Check if this makes sense if (_Nout != TotalSize) - throw std::runtime_error("[NNADparametersiation::Constructor]: FlavourMap doesn't match NNarchitecture."); + throw std::runtime_error("[NNADparametersiation::Constructor]: FlavourMap doesn't match NNarchitecture."); // Fill in grid EvaluateOnGrid(); @@ -100,12 +100,13 @@ namespace MontBlanc dists.emplace(i, outputs.Combine(RotationMap.second.GetLine(i))); _NNderivativeSets.at(RotationMap.first)[0].SetObjects(dists); } - // @note: So far everything runs fine (maybe with the wrong result) - // Implement sum rules - // _NNderivativeSets["sum1"][0] = _NNderivativeSets["PI"][0] + _NNderivativeSets["KA"][0]; - // _NNderivativeSets["sum2"][0] = _NNderivativeSets["PI"][0] + _NNderivativeSets["KA"][0]; - // _NNderivativeSets["sum3"][0] = _NNderivativeSets["PI"][0] + _NNderivativeSets["KA"][0]; - // _NNderivativeSets["h+"][0] = _NNderivativeSets["hres"][0] - _NNderivativeSets["PI"][0] + _NNderivativeSets["KA"][0]; + // @note: So far everything runs fine (maybe with the wrong result) + // @todo The following lines show how we mean to implement sum rules. + // Implement sum rules + // _NNderivativeSets["sum1"][0] = _NNderivativeSets["PI"][0] + _NNderivativeSets["KA"][0]; + // _NNderivativeSets["sum2"][0] = _NNderivativeSets["PI"][0] + _NNderivativeSets["KA"][0]; + // _NNderivativeSets["sum3"][0] = _NNderivativeSets["PI"][0] + _NNderivativeSets["KA"][0]; + // _NNderivativeSets["h+"][0] = _NNderivativeSets["hres"][0] - _NNderivativeSets["PI"][0] + _NNderivativeSets["KA"][0]; } //_________________________________________________________________________ @@ -145,12 +146,12 @@ namespace MontBlanc std::vector FilteredOutput (HadronOutputSize * (_Np + 1), 0.0); for (int par = 0; par < _Np + 1; par++) - { - for (int idx = 0; idx < HadronOutputSize; idx++) { - FilteredOutput[idx + HadronOutputSize * par] = dnnx[par * _Nout + (idx + HadronSizeOffset)]; + for (int idx = 0; idx < HadronOutputSize; idx++) + { + FilteredOutput[idx + HadronOutputSize * par] = dnnx[par * _Nout + (idx + HadronSizeOffset)]; + } } - } return FilteredOutput; }; diff --git a/src/parameterisations/NNADparameterisation_old.cc b/src/parameterisations/NNADparameterisation_old.cc new file mode 100644 index 000000000..96f80a780 --- /dev/null +++ b/src/parameterisations/NNADparameterisation_old.cc @@ -0,0 +1,130 @@ +// +// Authors: Rabah Abdul Khalek: rabah.khalek@gmail.com +// Valerio Bertone: valerio.bertone@cern.ch +// Emanuele R. Nocera: emanuele.nocera@ed.ac.uk +// + +#include +#include "MontBlanc/NNADparameterisation_old.h" + +namespace MontBlanc +{ + //_________________________________________________________________________ + NNADparameterisation_old::NNADparameterisation_old(YAML::Node const &config, std::shared_ptr g): + NangaParbat::Parameterisation("NNAD", 2, {}, false), + _NNarchitecture(config["architecture"].as>()), + _NN(new nnad::FeedForwardNN(_NNarchitecture, config["seed"].as(), false)), + _Nout(_NNarchitecture.back()), + _Np(_NN->GetParameterNumber()), + _OutputFunction(config["output function"] ? config["output function"].as() : 1), + _g(g), + _NNderivativeSets(_Np + 1, apfel::Set {apfel::DiagonalBasis{13}, std::map{}}) + { + this->_pars = _NN->GetParameters(); + + // Rotation from physical to QCD-evolution basis + std::vector R; + for (int i = 0; i < 13; i++) + for (int j = 0; j < 13; j++) + R.push_back(apfel::RotPhysToQCDEvFull[i][j]); + + std::vector FlavourMap = config["flavour map"].as>(); + if (13 * _Nout != (int) FlavourMap.size()) + throw std::runtime_error("[NNADparametersiation::Constructor]: FlavourMap doesn't match NNarchitecture."); + + // Combine rotation matrix with the flavour map + nnad::Matrix FlavourMapT{_Nout, 13, FlavourMap}; + + // Calculate the (Moore-Penrose) pseudo-inverse of the flavour map + if (config["combine"]) + { + if (config["combine"].as()) + FlavourMapT = FlavourMapT.PseudoInverse_LLR(); + } + else + FlavourMapT.Transpose(); + + _Rotation = nnad::Matrix {13, 13, R} * FlavourMapT; + + // Fill in grid + EvaluateOnGrid(); + } + + //_________________________________________________________________________ + void NNADparameterisation_old::EvaluateOnGrid() + { + const std::vector nn1 = _NN->Evaluate({1}); + const std::function(double const&)> NormNN = [=] (double const& x) -> std::vector + { + // Get NN at x + std::vector nnx = _NN->Evaluate({x}); + + // Subtract the NN at 1 to ensure NN(x = 1) = 0. + std::transform(nnx.begin(), nnx.end(), nn1.begin(), nnx.begin(), std::minus()); + + // If _OutputFunction == 2 square the output vector. + if (_OutputFunction == 2) + std::transform(nnx.begin(), nnx.end(), nnx.begin(), nnx.begin(), std::multiplies()); + + return nnx; + }; + + const apfel::Set outputs{apfel::DiagonalBasis{_Nout}, DistributionMap(*_g, NormNN, _Nout)}; + std::map dists; + for (int i = 0; i < 13; i++) + dists.emplace(i, outputs.Combine(_Rotation.GetLine(i))); + _NNderivativeSets[0].SetObjects(dists); + } + + //_________________________________________________________________________ + void NNADparameterisation_old::DeriveOnGrid() + { + const std::vector dnn1 = _NN->Derive({1}); + const std::function(double const&)> NormNN = [=] (double const& x) -> std::vector + { + // Get NN at x + std::vector dnnx = _NN->Derive({x}); + + // Subtract the NN at 1 to ensure NN(x = 1) = 0. + std::transform(dnnx.begin(), dnnx.end(), dnn1.begin(), dnnx.begin(), std::minus()); + + // If _OutputFunction == 2 square the first _Nout components + // of dnnx but first multiply the derivative components, + // i.e. those after the first _Nout, by twice the first _Nout + // outputs. + if (_OutputFunction == 2) + { + // Multiply derivarives by 2 * NN(x) + for (int ip = 1; ip <= _Np; ip++) + std::transform(dnnx.begin() + ip * _Nout, dnnx.begin() + ( ip + 1 ) * _Nout, dnnx.begin(), dnnx.begin() + ip * _Nout, + [] (double const& a, double const& b) -> double { return 2 * a * b; }); + + // Now square the outputs + std::transform(dnnx.begin(), dnnx.begin() + _Nout, dnnx.begin(), dnnx.begin(), std::multiplies()); + } + + return dnnx; + }; + std::map dm = DistributionMap(*_g, NormNN, ( _Np + 1 ) * _Nout); + for (int ip = 0; ip < _Np + 1; ip++) + { + const apfel::Set outputs{apfel::DiagonalBasis{_Nout}, std::map{std::next(dm.begin(), ip * _Nout), std::next(dm.begin(), ( ip + 1 ) * _Nout)}}; + std::map dists; + for (int i = 0; i < _Rotation.GetLines(); i++) + dists.emplace(i, outputs.Combine(_Rotation.GetLine(i))); + _NNderivativeSets[ip].SetObjects(dists); + } + } + + //_________________________________________________________________________ + std::function(double const&)> NNADparameterisation_old::DistributionFunction() const + { + return [=] (double const &) -> apfel::Set { return _NNderivativeSets[0]; }; + } + + //_________________________________________________________________________ + std::function(double const&)> NNADparameterisation_old::DistributionDerivative(int ipar) const + { + return [=] (double const &) -> apfel::Set { return _NNderivativeSets[ipar+1]; }; + } +} \ No newline at end of file diff --git a/src/predictions/predictionshandler.cc b/src/predictions/predictionshandler.cc index 69bc119c4..1495c67ef 100644 --- a/src/predictions/predictionshandler.cc +++ b/src/predictions/predictionshandler.cc @@ -14,7 +14,7 @@ // Compiler guard to avoid warnings in the use of the SOURCE_DIR // The variable SOURCE_DIR is defined during the CMake configuration #ifndef SOURCE_DIR - #error "SOURCE_DIR is not defined!" +#error "SOURCE_DIR is not defined!" #endif //TABLE_DIR namespace MontBlanc @@ -294,7 +294,7 @@ namespace MontBlanc // Functions that multiply FT and FL const std::function funcL = [=] (double const& x, double const&) -> double{ return fact * 2 * ( 1 - pow(Q / Vs, 2) / x ) / x; }; - const std::function funcT = [=] (double const& x, double const&) -> double{ return fact * ( 1 + pow(1 - pow(Q / Vs, 2) / x, 2) ) / x; }; + const std::function funcT = [=] (double const& x, double const&) -> double{ return fact * ( 1 + pow(1 - pow(Q / Vs, 2) / x, 2) ) / x; }; // Transverse apfel::DoubleOperator OTns = OT0ns; @@ -457,9 +457,9 @@ namespace MontBlanc const apfel::DistributionOperator CT_qpq_3 = OTqpq3.MultiplyFirstBy(eq1eq2fq2Tq1i); const apfel::DistributionOperator CL_qpq_3 = OLqpq3.MultiplyFirstBy(eq1eq2fq2Tq1i); KiMap.insert({i, funcT * ( CT_qq_NS + CT_qg + CT_qq_ps + CT_qbq + CT_qpq_1 + CT_qpq_2 + CT_qpq_3) + funcL * (CL_qq_NS + CL_qg + CL_qq_ps + CL_qbq + CL_qpq_1 + CL_qpq_2 + CL_qpq_3 )}); - } + } - return apfel::Set{KiMap}; + return apfel::Set{KiMap}; }; // Tabulate semi-inclusive cross sections in Q diff --git a/src/predictions/predictionshandler_approx.cc b/src/predictions/predictionshandler_approx.cc index a39dc858e..6bbf215fb 100644 --- a/src/predictions/predictionshandler_approx.cc +++ b/src/predictions/predictionshandler_approx.cc @@ -268,12 +268,12 @@ namespace MontBlanc // NLO gq for F2 and FL apfel::DoubleObject D0t{{{1.0, apfel::Distribution {*_gx, [] (double const&) -> double { return 0.0; }}, apfel::Operator {*_gz, apfel::Null{}}}}}; if (PerturbativeOrder >= 1) - { - for (auto const& t: so.C21gq.GetTerms()) - D0t.AddTerm({as * t.coefficient, func2 * ( t.object1 * eqfq ), t.object2}); - for (auto const& t: so.CL1gq.GetTerms()) - D0t.AddTerm({as * t.coefficient, funcL * ( t.object1 * eqfq ), t.object2}); - } + { + for (auto const& t: so.C21gq.GetTerms()) + D0t.AddTerm({as * t.coefficient, func2 * ( t.object1 * eqfq ), t.object2}); + for (auto const& t: so.CL1gq.GetTerms()) + D0t.AddTerm({as * t.coefficient, funcL * ( t.object1 * eqfq ), t.object2}); + } KiMap.insert({0, D0t}); // Now run over the quark evolution basis @@ -537,7 +537,7 @@ namespace MontBlanc //_________________________________________________________________________ std::vector PredictionsHandlerApprox::GetPredictions(std::function const&, - std::function const&) const + std::function const&) const { return PredictionsHandlerApprox::GetPredictions([](double const &, double const &, double const &) -> double { return 0; }); } @@ -550,7 +550,7 @@ namespace MontBlanc //_________________________________________________________________________ std::vector PredictionsHandlerApprox::GetPredictions(std::function const&, - std::function const&) const + std::function const&) const { return PredictionsHandlerApprox::GetPredictions([](double const &, double const &, double const &) -> double { return 0; }); } diff --git a/tests/PredsComparison.cc b/tests/PredsComparison.cc index 6b35e1b7a..4f3b1427d 100644 --- a/tests/PredsComparison.cc +++ b/tests/PredsComparison.cc @@ -90,10 +90,10 @@ int main(int argc, char *argv[]) // Get LHAPDF set std::unordered_map LHAPDFSets; for (auto const& FlavMap : config["NNAD"]["flavour maps"]) - { - std::vector sets = LHAPDF::mkPDFs(FlavMap["SetName"].as()); - LHAPDFSets.insert({FlavMap["hadron"].as(), sets[0]}); - } + { + std::vector sets = LHAPDF::mkPDFs(FlavMap["SetName"].as()); + LHAPDFSets.insert({FlavMap["hadron"].as(), sets[0]}); + } std::shared_ptr FFset = std::make_shared(LHAPDFSets, gz); // Run over the experiments, compute central values and standard @@ -128,7 +128,7 @@ int main(int argc, char *argv[]) << std::setw(30) << std::right << "(legacy - new) / legacy" << std::setw(15) << std::right << "legacy / new" << std::endl; - std::cout << std::setw(110) << std::setfill('-') << "" << std::setfill(' ') << std::endl; + std::cout << std::setw(110) << std::setfill('-') << "" << std::setfill(' ') << std::endl; auto kin_bins = DSVect_legacy[iexp].first->GetBinning(); for (int i = 0; i < (int) bins.size(); i++) @@ -137,8 +137,8 @@ int main(int argc, char *argv[]) << std::setw(10) << std::right << kin_bins[i].Qav << " | " << kin_bins[i].xav << " | " << kin_bins[i].zav << std::setw(15) << std::right << prds_legacy[i] << std::setw(15) << std::right << prds_new[i] - << std::setw(20) << std::right << (prds_legacy[i] - prds_new[i]) / prds_legacy[i] - << std::setw(20) << std::right << prds_legacy[i] / prds_new[i] + << std::setw(20) << std::right << (prds_legacy[i] - prds_new[i]) / prds_legacy[i] + << std::setw(20) << std::right << prds_legacy[i] / prds_new[i] << std::endl; } } diff --git a/tests/Reweighting.cc b/tests/Reweighting.cc index a89bd19ec..52b2e8c71 100644 --- a/tests/Reweighting.cc +++ b/tests/Reweighting.cc @@ -35,8 +35,8 @@ int main(int argc, char *argv[]) const std::string InputCardPath = argv[2]; const std::string DataFolder = (std::string) argv[3] + "/"; - std::cout << "WARNING: this module does not handle multiple hadrons. If the more than one hadrons are "; - std::cout << "provided in the runcard, the result will be undefined behaviour.\n"; + std::cout << "WARNING: this module does not handle multiple hadrons. If the more than one hadrons are " + << "provided in the runcard, the result will be undefined behaviour.\n"; // Timer apfel::Timer t; From b71166827c415f22aefcd1795ca9fd3704a79000 Mon Sep 17 00:00:00 2001 From: achiefa Date: Mon, 21 Apr 2025 17:32:19 +0100 Subject: [PATCH 06/29] Update new runcard --- config/MAPFF30_PI_KA_NNLO.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/config/MAPFF30_PI_KA_NNLO.yaml b/config/MAPFF30_PI_KA_NNLO.yaml index e600021d6..b3d2e6abc 100644 --- a/config/MAPFF30_PI_KA_NNLO.yaml +++ b/config/MAPFF30_PI_KA_NNLO.yaml @@ -42,8 +42,8 @@ Predictions: ################################# # Parameters of the optimiser managed by ceres-solver Optimizer: - max_num_iterations: 10 - chi2_tolerance: 1000 + max_num_iterations: 3000 + chi2_tolerance: 3 ################################# # NNAD ################################# From aadd6b9ed53471623e28abd1b6596de13078beb7 Mon Sep 17 00:00:00 2001 From: achiefa Date: Tue, 22 Apr 2025 10:33:48 +0100 Subject: [PATCH 07/29] Remove old NNAD parameterisation --- .../NNADparameterisation_old.cc | 130 ------------------ 1 file changed, 130 deletions(-) delete mode 100644 src/parameterisations/NNADparameterisation_old.cc diff --git a/src/parameterisations/NNADparameterisation_old.cc b/src/parameterisations/NNADparameterisation_old.cc deleted file mode 100644 index 96f80a780..000000000 --- a/src/parameterisations/NNADparameterisation_old.cc +++ /dev/null @@ -1,130 +0,0 @@ -// -// Authors: Rabah Abdul Khalek: rabah.khalek@gmail.com -// Valerio Bertone: valerio.bertone@cern.ch -// Emanuele R. Nocera: emanuele.nocera@ed.ac.uk -// - -#include -#include "MontBlanc/NNADparameterisation_old.h" - -namespace MontBlanc -{ - //_________________________________________________________________________ - NNADparameterisation_old::NNADparameterisation_old(YAML::Node const &config, std::shared_ptr g): - NangaParbat::Parameterisation("NNAD", 2, {}, false), - _NNarchitecture(config["architecture"].as>()), - _NN(new nnad::FeedForwardNN(_NNarchitecture, config["seed"].as(), false)), - _Nout(_NNarchitecture.back()), - _Np(_NN->GetParameterNumber()), - _OutputFunction(config["output function"] ? config["output function"].as() : 1), - _g(g), - _NNderivativeSets(_Np + 1, apfel::Set {apfel::DiagonalBasis{13}, std::map{}}) - { - this->_pars = _NN->GetParameters(); - - // Rotation from physical to QCD-evolution basis - std::vector R; - for (int i = 0; i < 13; i++) - for (int j = 0; j < 13; j++) - R.push_back(apfel::RotPhysToQCDEvFull[i][j]); - - std::vector FlavourMap = config["flavour map"].as>(); - if (13 * _Nout != (int) FlavourMap.size()) - throw std::runtime_error("[NNADparametersiation::Constructor]: FlavourMap doesn't match NNarchitecture."); - - // Combine rotation matrix with the flavour map - nnad::Matrix FlavourMapT{_Nout, 13, FlavourMap}; - - // Calculate the (Moore-Penrose) pseudo-inverse of the flavour map - if (config["combine"]) - { - if (config["combine"].as()) - FlavourMapT = FlavourMapT.PseudoInverse_LLR(); - } - else - FlavourMapT.Transpose(); - - _Rotation = nnad::Matrix {13, 13, R} * FlavourMapT; - - // Fill in grid - EvaluateOnGrid(); - } - - //_________________________________________________________________________ - void NNADparameterisation_old::EvaluateOnGrid() - { - const std::vector nn1 = _NN->Evaluate({1}); - const std::function(double const&)> NormNN = [=] (double const& x) -> std::vector - { - // Get NN at x - std::vector nnx = _NN->Evaluate({x}); - - // Subtract the NN at 1 to ensure NN(x = 1) = 0. - std::transform(nnx.begin(), nnx.end(), nn1.begin(), nnx.begin(), std::minus()); - - // If _OutputFunction == 2 square the output vector. - if (_OutputFunction == 2) - std::transform(nnx.begin(), nnx.end(), nnx.begin(), nnx.begin(), std::multiplies()); - - return nnx; - }; - - const apfel::Set outputs{apfel::DiagonalBasis{_Nout}, DistributionMap(*_g, NormNN, _Nout)}; - std::map dists; - for (int i = 0; i < 13; i++) - dists.emplace(i, outputs.Combine(_Rotation.GetLine(i))); - _NNderivativeSets[0].SetObjects(dists); - } - - //_________________________________________________________________________ - void NNADparameterisation_old::DeriveOnGrid() - { - const std::vector dnn1 = _NN->Derive({1}); - const std::function(double const&)> NormNN = [=] (double const& x) -> std::vector - { - // Get NN at x - std::vector dnnx = _NN->Derive({x}); - - // Subtract the NN at 1 to ensure NN(x = 1) = 0. - std::transform(dnnx.begin(), dnnx.end(), dnn1.begin(), dnnx.begin(), std::minus()); - - // If _OutputFunction == 2 square the first _Nout components - // of dnnx but first multiply the derivative components, - // i.e. those after the first _Nout, by twice the first _Nout - // outputs. - if (_OutputFunction == 2) - { - // Multiply derivarives by 2 * NN(x) - for (int ip = 1; ip <= _Np; ip++) - std::transform(dnnx.begin() + ip * _Nout, dnnx.begin() + ( ip + 1 ) * _Nout, dnnx.begin(), dnnx.begin() + ip * _Nout, - [] (double const& a, double const& b) -> double { return 2 * a * b; }); - - // Now square the outputs - std::transform(dnnx.begin(), dnnx.begin() + _Nout, dnnx.begin(), dnnx.begin(), std::multiplies()); - } - - return dnnx; - }; - std::map dm = DistributionMap(*_g, NormNN, ( _Np + 1 ) * _Nout); - for (int ip = 0; ip < _Np + 1; ip++) - { - const apfel::Set outputs{apfel::DiagonalBasis{_Nout}, std::map{std::next(dm.begin(), ip * _Nout), std::next(dm.begin(), ( ip + 1 ) * _Nout)}}; - std::map dists; - for (int i = 0; i < _Rotation.GetLines(); i++) - dists.emplace(i, outputs.Combine(_Rotation.GetLine(i))); - _NNderivativeSets[ip].SetObjects(dists); - } - } - - //_________________________________________________________________________ - std::function(double const&)> NNADparameterisation_old::DistributionFunction() const - { - return [=] (double const &) -> apfel::Set { return _NNderivativeSets[0]; }; - } - - //_________________________________________________________________________ - std::function(double const&)> NNADparameterisation_old::DistributionDerivative(int ipar) const - { - return [=] (double const &) -> apfel::Set { return _NNderivativeSets[ipar+1]; }; - } -} \ No newline at end of file From d1a7edf129333ddfe181d71e1608f11229843f49 Mon Sep 17 00:00:00 2001 From: achiefa Date: Tue, 22 Apr 2025 11:21:00 +0100 Subject: [PATCH 08/29] Correct name in NNADpar --- src/parameterisations/NNADparameterisation.cc | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/src/parameterisations/NNADparameterisation.cc b/src/parameterisations/NNADparameterisation.cc index ba2c6f991..709879e13 100644 --- a/src/parameterisations/NNADparameterisation.cc +++ b/src/parameterisations/NNADparameterisation.cc @@ -88,8 +88,8 @@ namespace MontBlanc std::transform(nnx.begin(), nnx.end(), nnx.begin(), nnx.begin(), std::multiplies()); // Selects the specific hadron output - nnad::Matrix SplittedOutput = _SplitMatrices.at(RotationMap.first) * nnad::Matrix(nnx.size(), 1, nnx); - return SplittedOutput.GetVector(); + nnad::Matrix SplitOutput = _SplitMatrices.at(RotationMap.first) * nnad::Matrix(nnx.size(), 1, nnx); + return SplitOutput.GetVector(); }; // Create a apfel::Set of apfe::Distribution which contains all the final hadrons. From e95da6324b24fb6fd46c20556826ba1484abea20 Mon Sep 17 00:00:00 2001 From: achiefa Date: Tue, 22 Apr 2025 11:27:57 +0100 Subject: [PATCH 09/29] Correct name --- run/LHAPDFGrid.cc | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/run/LHAPDFGrid.cc b/run/LHAPDFGrid.cc index ddb1eb82e..d8371b3fb 100644 --- a/run/LHAPDFGrid.cc +++ b/run/LHAPDFGrid.cc @@ -248,10 +248,10 @@ void fillEvSet(NNxFunc& NNfunc, auto nnx = NNfunc(x, p); // Selects the specific hadron output - nnad::Matrix SplittedOutput = SplitMatrix * nnad::Matrix(nnx.size(), 1, nnx); + nnad::Matrix SplitOutput = SplitMatrix * nnad::Matrix(nnx.size(), 1, nnx); // Rotate into the evolution basis - const nnad::Matrix nnv = FlavRoatation * SplittedOutput; + const nnad::Matrix nnv = FlavRoatation * SplitOutput; // Fill in map for (int i = 0; i < 13; i++) @@ -276,10 +276,10 @@ void fillEvSet(NNxFunc& NNfunc, auto nnx = NNfunc(x, p); // Selects the specific hadron output - nnad::Matrix SplittedOutput = SplitMatrix * nnad::Matrix(nnx.size(), 1, nnx); + nnad::Matrix SplitOutput = SplitMatrix * nnad::Matrix(nnx.size(), 1, nnx); // Rotate into the evolution basis - const nnad::Matrix nnv = FlavRoatation * SplittedOutput; + const nnad::Matrix nnv = FlavRoatation * SplitOutput; // Fill in map (ignoring top) for (int i = 0; i < 13; i++) From 5f13d012ec7fc8dcbfab4d04c8e048c243417fc0 Mon Sep 17 00:00:00 2001 From: enocera Date: Wed, 7 May 2025 09:58:38 +0200 Subject: [PATCH 10/29] Adde rawdata and filter files --- .../ALEPH/HEPData-ins398195-v1-Table_1.csv | 47 + .../ALEPH/HEPData-ins398195-v1-Table_3.csv | 33 + .../DELPHI/HEPData-ins473409-v1-Table_16.csv | 41 + .../DELPHI/HEPData-ins473409-v1-Table_24.csv | 41 + .../DELPHI/HEPData-ins473409-v1-Table_32.csv | 41 + .../OPAL/HEPData-ins472637-v1-Table_1.csv | 35 + .../OPAL/HEPData-ins472637-v1-Table_2.csv | 35 + .../OPAL/HEPData-ins472637-v1-Table_3.csv | 35 + .../OPAL/HEPData-ins472637-v1-Table_4.csv | 35 + .../SLD/HEPData-ins630327-v1-Table_1.csv | 53 + .../SLD/HEPData-ins630327-v1-Table_8.csv | 150 ++ .../TASSO/HEPData-ins294755-v1-Table_2.csv | 109 ++ .../TPC/HEPData-ins262143-v1-Table_1.csv | 136 ++ data/rawdata/charged_hadrons/filter.py | 824 +++++++++++ .../ALEPH/HEPData-ins382179-v1-Table_2.csv | 41 + .../BABAR/HEPData-ins1238276-v1-Table_1.csv | 156 ++ .../BABAR/HEPData-ins1238276-v1-Table_2.csv | 156 ++ data/rawdata/kaon/BABAR/babarbdKA.data | 45 + data/rawdata/kaon/BABAR/babarbdKA.data~ | 45 + .../BELLE/HEPData-ins1216515-v1-Table_1.csv | 173 +++ .../COMPASS/HEPData-ins1483098-v1-Table_1.csv | 323 +++++ .../COMPASS/HEPData-ins1483098-v1-Table_2.csv | 323 +++++ .../DELPHI/HEPData-ins473409-v1-Table_13.csv | 37 + .../DELPHI/HEPData-ins473409-v1-Table_5.csv | 37 + .../DELPHI/HEPData-ins473409-v1-Table_9.csv | 37 + .../OPAL/HEPData-ins372772-v1-Table_2.csv | 46 + .../kaon/SLD/HEPData-ins630327-v1-Table_3.csv | 93 ++ .../kaon/SLD/HEPData-ins630327-v1-Table_6.csv | 141 ++ .../TASSO12/HEPData-ins153656-v1-Table_3.csv | 29 + .../TASSO14/HEPData-ins181470-v1-Table_2.csv | 21 + .../TASSO22/HEPData-ins181470-v1-Table_5.csv | 22 + .../TASSO30/HEPData-ins153656-v1-Table_6.csv | 35 + .../TASSO34/HEPData-ins267755-v1-Table_8.csv | 23 + .../TASSO44/HEPData-ins267755-v1-Table_11.csv | 16 + .../kaon/TPC/HEPData-ins262143-v1-Table_1.csv | 136 ++ data/rawdata/kaon/filter.py | 1254 +++++++++++++++++ .../ALEPH/HEPData-ins382179-v1-Table_2.csv | 41 + .../BABAR/HEPData-ins1238276-v1-Table_1.csv | 156 ++ .../BABAR/HEPData-ins1238276-v1-Table_2.csv | 156 ++ data/rawdata/pion/BABAR/babarbdKA.data | 45 + data/rawdata/pion/BABAR/babarbdKA.data~ | 45 + .../BELLE/HEPData-ins1216515-v1-Table_1.csv | 173 +++ .../COMPASS/HEPData-ins1444985-v1-Table_1.csv | 325 +++++ .../COMPASS/HEPData-ins1444985-v1-Table_2.csv | 325 +++++ .../DELPHI/HEPData-ins473409-v1-Table_13.csv | 37 + .../DELPHI/HEPData-ins473409-v1-Table_5.csv | 37 + .../DELPHI/HEPData-ins473409-v1-Table_9.csv | 37 + .../OPAL/HEPData-ins372772-v1-Table_2.csv | 46 + .../pion/SLD/HEPData-ins630327-v1-Table_3.csv | 93 ++ .../pion/SLD/HEPData-ins630327-v1-Table_6.csv | 141 ++ .../TASSO12/HEPData-ins153656-v1-Table_3.csv | 29 + .../TASSO14/HEPData-ins181470-v1-Table_2.csv | 21 + .../TASSO22/HEPData-ins181470-v1-Table_5.csv | 22 + .../TASSO30/HEPData-ins153656-v1-Table_6.csv | 35 + .../TASSO34/HEPData-ins267755-v1-Table_8.csv | 23 + .../TASSO44/HEPData-ins267755-v1-Table_11.csv | 16 + .../pion/TPC/HEPData-ins262143-v1-Table_1.csv | 136 ++ data/rawdata/pion/filter.py | 1254 +++++++++++++++++ .../proton/.~lock.ALEPH_PR_PLUS_MINUS.yaml# | 1 + .../proton/.~lock.DELPHI_PR_PLUS_MINUS.yaml# | 1 + .../.~lock.DELPHI_PR_PLUS_MINUS_B.yaml# | 1 + .../.~lock.DELPHI_PR_PLUS_MINUS_UDS.yaml# | 1 + .../proton/.~lock.OPAL_PR_PLUS_MINUS.yaml# | 1 + .../proton/.~lock.SLD_PR_PLUS_MINUS.yaml# | 1 + .../proton/.~lock.SLD_PR_PLUS_MINUS_B.yaml# | 1 + .../proton/.~lock.SLD_PR_PLUS_MINUS_UDS.yaml# | 1 + .../ALEPH/HEPData-ins382179-v1-Table_3.csv | 38 + .../BABAR/HEPData-ins1238276-v1-Table_1.csv | 156 ++ .../BABAR/HEPData-ins1238276-v1-Table_2.csv | 156 ++ data/rawdata/proton/BABAR/babarbdPR.data | 45 + .../DELPHI/HEPData-ins473409-v1-Table_10.csv | 37 + .../DELPHI/HEPData-ins473409-v1-Table_14.csv | 37 + .../DELPHI/HEPData-ins473409-v1-Table_6.csv | 37 + .../OPAL/HEPData-ins372772-v1-Table_3.csv | 50 + .../SLD/HEPData-ins630327-v1-Table_4.csv | 93 ++ .../SLD/HEPData-ins630327-v1-Table_7.csv | 141 ++ .../TASSO12/HEPData-ins153656-v1-Table_4.csv | 29 + .../TASSO14/HEPData-ins181470-v1-Table_3.csv | 21 + .../TASSO22/HEPData-ins181470-v1-Table_6.csv | 21 + .../TASSO30/HEPData-ins153656-v1-Table_7.csv | 29 + .../TASSO34/HEPData-ins267755-v1-Table_9.csv | 23 + .../TASSO44/HEPData-ins267755-v1-Table_12.csv | 16 + .../TPC/HEPData-ins262143-v1-Table_1.csv | 136 ++ data/rawdata/proton/filter.py | 956 +++++++++++++ 84 files changed, 10026 insertions(+) create mode 100644 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data/rawdata/proton/TASSO12/HEPData-ins153656-v1-Table_4.csv create mode 100644 data/rawdata/proton/TASSO14/HEPData-ins181470-v1-Table_3.csv create mode 100644 data/rawdata/proton/TASSO22/HEPData-ins181470-v1-Table_6.csv create mode 100644 data/rawdata/proton/TASSO30/HEPData-ins153656-v1-Table_7.csv create mode 100644 data/rawdata/proton/TASSO34/HEPData-ins267755-v1-Table_9.csv create mode 100644 data/rawdata/proton/TASSO44/HEPData-ins267755-v1-Table_12.csv create mode 100644 data/rawdata/proton/TPC/HEPData-ins262143-v1-Table_1.csv create mode 100644 data/rawdata/proton/filter.py diff --git a/data/rawdata/charged_hadrons/ALEPH/HEPData-ins398195-v1-Table_1.csv b/data/rawdata/charged_hadrons/ALEPH/HEPData-ins398195-v1-Table_1.csv new file mode 100644 index 000000000..dd65078fd --- /dev/null +++ b/data/rawdata/charged_hadrons/ALEPH/HEPData-ins398195-v1-Table_1.csv @@ -0,0 +1,47 @@ +#: table_doi: 10.17182/hepdata.47843.v1/t1 +#: name: Table 1 +#: description: No description provided. +#: data_file: Table1.yaml +#: keyword reactions: E+ E- --> CHARGED X +#: keyword observables: DSIG/DX +#: keyword phrases: Inclusive | Single Differential Cross Section | E+ E- Scattering +#: keyword cmenergies: 91.2 +#: RE,,,E+ E- --> CHARGED X +#: SQRT(S) [GeV],,,91.2,,,,,, +X(DEF=2*E(P=3)/SQRT(S)),X(DEF=2*E(P=3)/SQRT(S)) LOW,X(DEF=2*E(P=3)/SQRT(S)) HIGH,(1/SIG(C=TOT))*D(SIG)/DX,stat +,stat -,sys +,sys -,"sys,Overall normaliztion error not included. +","sys,Overall normaliztion error not included. -" +0.01,0.008,0.012,501.3,0.4,-0.4,7.8,-7.8,1.0%,-1.0% +0.016,0.012,0.02,392.69,0.24,-0.24,0.97,-0.97,1.0%,-1.0% +0.025,0.02,0.03,274.81,0.18,-0.18,0.99,-0.99,1.0%,-1.0% +0.035,0.03,0.04,191.05,0.15,-0.15,0.48,-0.48,1.0%,-1.0% +0.045,0.04,0.05,139.94,0.13,-0.13,0.44,-0.44,1.0%,-1.0% +0.055,0.05,0.06,107.33,0.11,-0.11,0.3,-0.3,1.0%,-1.0% +0.065,0.06,0.07,85.09,0.1,-0.1,0.17,-0.17,1.0%,-1.0% +0.07500000000000001,0.07,0.08,68.96,0.09,-0.09,0.19,-0.19,1.0%,-1.0% 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/dev/null +++ b/data/rawdata/charged_hadrons/ALEPH/HEPData-ins398195-v1-Table_3.csv @@ -0,0 +1,33 @@ +#: table_doi: 10.17182/hepdata.47843.v1/t3 +#: name: Table 3 +#: description: No description provided. +#: data_file: Table3.yaml +#: keyword reactions: E+ E- --> CHARGED X +#: keyword observables: DSIG/DXL +#: keyword phrases: Inclusive | Single Differential Cross Section | E+ E- Scattering +#: keyword cmenergies: 91.2 +#: RE,,,E+ E- --> CHARGED X +#: SQRT(S) [GeV],,,91.2,,,,,, +XL(DEF=2*EL/SQRT(S)),XL(DEF=2*EL/SQRT(S)) LOW,XL(DEF=2*EL/SQRT(S)) HIGH,(1/SIG(C=TOT))*D(SIG)/DXL,stat +,stat -,sys +,sys -,"sys,Overall normaliztion error not included. +","sys,Overall normaliztion error not included. -" +0.01,0.008,0.012,123.6,0.5,-0.5,16.4,-16.4,1.0%,-1.0% +0.016,0.012,0.02,77.2,0.3,-0.3,2.8,-2.8,1.0%,-1.0% +0.025,0.02,0.03,40.6,0.2,-0.2,1.6,-1.6,1.0%,-1.0% +0.035,0.03,0.04,21.1,0.1,-0.1,1.2,-1.2,1.0%,-1.0% +0.045,0.04,0.05,12.42,0.12,-0.12,0.81,-0.81,1.0%,-1.0% +0.055,0.05,0.06,8.0,0.1,-0.1,0.58,-0.58,1.0%,-1.0% +0.065,0.06,0.07,5.4,0.09,-0.09,0.4,-0.4,1.0%,-1.0% +0.07500000000000001,0.07,0.08,3.81,0.08,-0.08,0.31,-0.31,1.0%,-1.0% +0.08499999999999999,0.08,0.09,2.74,0.07,-0.07,0.2,-0.2,1.0%,-1.0% +0.095,0.09,0.1,2.1,0.06,-0.06,0.2,-0.2,1.0%,-1.0% +0.11,0.1,0.12,1.43,0.04,-0.04,0.14,-0.14,1.0%,-1.0% +0.13,0.12,0.14,0.9,0.03,-0.03,0.1,-0.1,1.0%,-1.0% +0.15000000000000002,0.14,0.16,0.569,0.026,-0.026,0.06,-0.06,1.0%,-1.0% +0.16999999999999998,0.16,0.18,0.393,0.024,-0.024,0.082,-0.082,1.0%,-1.0% +0.2025,0.18,0.225,0.259,0.012,-0.012,0.037,-0.037,1.0%,-1.0% +0.25,0.225,0.275,0.115,0.008,-0.008,0.024,-0.024,1.0%,-1.0% +0.30000000000000004,0.275,0.325,0.055,0.005,-0.005,0.013,-0.013,1.0%,-1.0% +0.36250000000000004,0.325,0.4,0.0293,0.0032,-0.0032,0.0076,-0.0076,1.0%,-1.0% +0.5,0.4,0.6,0.0067,0.0007,-0.0007,0.0023,-0.0023,1.0%,-1.0% +0.7,0.6,0.8,0.00041,0.0002,-0.0002,0.00094,-0.00094,1.0%,-1.0% +0.9,0.8,1.0,-0.0002,0.0002,-0.0002,0.0011,-0.0011,1.0%,-1.0% + diff --git a/data/rawdata/charged_hadrons/DELPHI/HEPData-ins473409-v1-Table_16.csv b/data/rawdata/charged_hadrons/DELPHI/HEPData-ins473409-v1-Table_16.csv new file mode 100644 index 000000000..680dd655a --- /dev/null +++ b/data/rawdata/charged_hadrons/DELPHI/HEPData-ins473409-v1-Table_16.csv @@ -0,0 +1,41 @@ +#: table_doi: 10.17182/hepdata.49385.v1/t16 +#: name: Table 16 +#: description: Differential cross section for charged particles in Z0 -->Q-QBAR events. + +#: data_file: Table16.yaml +#: keyword reactions: E+ E- --> CHARGED X | E+ E- --> Z0 +#: keyword observables: DN/DP +#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering +#: keyword cmenergies: 91.2 +#: RE,,,E+ E- --> CHARGED X +#: RE(Q=HAD),,,E+ E- --> HADRONS X +#: SQRT(S) [GeV],,,91.2,,,, +P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,(1/N(C=HAD))*D(N)/DP,stat +,stat -,sys +,sys - +0.32999999999999996,0.3,0.36,11.22,0.47,-0.47,0.74,-0.74 +0.41000000000000003,0.36,0.46,10.95,0.3,-0.3,0.52,-0.52 +0.515,0.46,0.57,10.3,0.16,-0.16,0.24,-0.24 +0.635,0.57,0.7,9.25,0.16,-0.16,0.23,-0.23 +0.8049999999999999,0.7,0.91,7.79,0.15,-0.15,0.22,-0.22 +1.025,0.91,1.14,6.36,0.062,-0.062,0.082,-0.082 +1.255,1.14,1.37,5.273,0.065,-0.065,0.079,-0.079 +1.485,1.37,1.6,4.412,0.035,-0.035,0.041,-0.041 +1.71,1.6,1.82,3.764,0.035,-0.035,0.039,-0.039 +2.05,1.82,2.28,3.018,0.028,-0.028,0.03,-0.03 +2.51,2.28,2.74,2.325,0.023,-0.023,0.024,-0.024 +2.965,2.74,3.19,1.853,0.021,-0.021,0.021,-0.021 +3.42,3.19,3.65,1.506,0.019,-0.019,0.019,-0.019 +3.875,3.65,4.1,1.253,0.018,-0.018,0.017,-0.017 +4.33,4.1,4.56,1.049,0.017,-0.017,0.016,-0.016 +5.015,4.56,5.47,0.83,0.015,-0.015,0.014,-0.014 +5.925,5.47,6.38,0.616,0.013,-0.013,0.011,-0.011 +6.835,6.38,7.29,0.471,0.011,-0.011,0.009,-0.009 +7.75,7.29,8.21,0.3684,0.009,-0.009,0.0074,-0.0074 +8.665,8.21,9.12,0.2907,0.0074,-0.0074,0.006,-0.006 +10.51,9.12,11.9,0.1911,0.0055,-0.0055,0.0043,-0.0043 +12.8,11.9,13.7,0.1159,0.0036,-0.0036,0.0027,-0.0027 +15.95,13.7,18.2,0.0635,0.0021,-0.0021,0.0015,-0.0015 +20.5,18.2,22.8,0.0273,0.0011,-0.0011,0.0007,-0.0007 +25.1,22.8,27.4,0.01216,0.00057,-0.00057,0.00037,-0.00037 +31.95,27.4,36.5,0.00384,0.00039,-0.00039,0.00027,-0.00027 +41.05,36.5,45.6,0.00053,9.6e-05,-9.6e-05,5e-05,-5e-05 + diff --git a/data/rawdata/charged_hadrons/DELPHI/HEPData-ins473409-v1-Table_24.csv b/data/rawdata/charged_hadrons/DELPHI/HEPData-ins473409-v1-Table_24.csv new file mode 100644 index 000000000..54b8f106d --- /dev/null +++ b/data/rawdata/charged_hadrons/DELPHI/HEPData-ins473409-v1-Table_24.csv @@ -0,0 +1,41 @@ +#: table_doi: 10.17182/hepdata.49385.v1/t24 +#: name: Table 24 +#: description: Differential cross section for charged particles in Z0 -->B-BBAR events. + +#: data_file: Table24.yaml +#: keyword reactions: E+ E- --> CHARGED X | E+ E- --> Z0 +#: keyword observables: DN/DP +#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering +#: keyword cmenergies: 91.2 +#: RE,,,E+ E- --> CHARGED X +#: RE(Q=HAD),,,E+ E- --> HADRONS X +#: SQRT(S) [GeV],,,91.2,,,, +P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,(1/N(C=HAD))*D(N)/DP,stat +,stat -,sys +,sys - +0.32999999999999996,0.3,0.36,12.05,0.46,-0.46,0.74,-0.74 +0.41000000000000003,0.36,0.46,11.8,0.3,-0.3,0.52,-0.52 +0.515,0.46,0.57,11.23,0.16,-0.16,0.24,-0.24 +0.635,0.57,0.7,10.28,0.16,-0.16,0.23,-0.23 +0.8049999999999999,0.7,0.91,8.84,0.16,-0.16,0.22,-0.22 +1.025,0.91,1.14,7.336,0.064,-0.064,0.082,-0.082 +1.255,1.14,1.37,6.159,0.065,-0.065,0.079,-0.079 +1.485,1.37,1.6,5.208,0.034,-0.034,0.041,-0.041 +1.71,1.6,1.82,4.466,0.034,-0.034,0.04,-0.04 +2.05,1.82,2.28,3.586,0.027,-0.027,0.03,-0.03 +2.51,2.28,2.74,2.806,0.021,-0.021,0.024,-0.024 +2.965,2.74,3.19,2.235,0.019,-0.019,0.021,-0.021 +3.42,3.19,3.65,1.831,0.017,-0.017,0.019,-0.019 +3.875,3.65,4.1,1.51,0.016,-0.016,0.017,-0.017 +4.33,4.1,4.56,1.259,0.015,-0.015,0.016,-0.016 +5.015,4.56,5.47,0.966,0.013,-0.013,0.014,-0.014 +5.925,5.47,6.38,0.687,0.011,-0.011,0.011,-0.011 +6.835,6.38,7.29,0.4967,0.0086,-0.0086,0.0092,-0.0092 +7.75,7.29,8.21,0.3681,0.007,-0.007,0.0077,-0.0077 +8.665,8.21,9.12,0.2764,0.0057,-0.0057,0.0063,-0.0063 +10.51,9.12,11.9,0.1637,0.0043,-0.0043,0.0047,-0.0047 +12.8,11.9,13.7,0.0882,0.0028,-0.0028,0.0034,-0.0034 +15.95,13.7,18.2,0.0431,0.0022,-0.0022,0.0025,-0.0025 +20.5,18.2,22.8,0.0152,0.0012,-0.0012,0.0021,-0.0021 +25.1,22.8,27.4,0.00577,0.00071,-0.00071,0.00203,-0.00203 +31.95,27.4,36.5,0.0012,0.00041,-0.00041,0.00202,-0.00202 +41.05,36.5,45.6,2.01e-05,8.5e-06,-8.5e-06,0.0020006,-0.0020006 + diff --git a/data/rawdata/charged_hadrons/DELPHI/HEPData-ins473409-v1-Table_32.csv b/data/rawdata/charged_hadrons/DELPHI/HEPData-ins473409-v1-Table_32.csv new file mode 100644 index 000000000..8ec202aa3 --- /dev/null +++ b/data/rawdata/charged_hadrons/DELPHI/HEPData-ins473409-v1-Table_32.csv @@ -0,0 +1,41 @@ +#: table_doi: 10.17182/hepdata.49385.v1/t32 +#: name: Table 32 +#: description: Differential cross section for charged particles in Z0-->(U-UBAR,D-DBAR,S-SBAR) events. + +#: data_file: Table32.yaml +#: keyword reactions: E+ E- --> CHARGED X | E+ E- --> Z0 +#: keyword observables: DN/DP +#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering +#: keyword cmenergies: 91.2 +#: RE,,,E+ E- --> CHARGED X +#: RE(Q=HAD),,,E+ E- --> HADRONS X +#: SQRT(S) [GeV],,,91.2,,,, +P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,(1/N(C=HAD))*D(N)/DP,stat +,stat -,sys +,sys - +0.32999999999999996,0.3,0.36,10.97,0.47,-0.47,0.74,-0.74 +0.41000000000000003,0.36,0.46,10.69,0.31,-0.31,0.52,-0.52 +0.515,0.46,0.57,10.02,0.16,-0.16,0.24,-0.24 +0.635,0.57,0.7,8.95,0.16,-0.16,0.23,-0.23 +0.8049999999999999,0.7,0.91,7.46,0.15,-0.15,0.22,-0.22 +1.025,0.91,1.14,6.046,0.061,-0.061,0.082,-0.082 +1.255,1.14,1.37,4.966,0.063,-0.063,0.079,-0.079 +1.485,1.37,1.6,4.124,0.034,-0.034,0.041,-0.041 +1.71,1.6,1.82,3.506,0.034,-0.034,0.04,-0.04 +2.05,1.82,2.28,2.801,0.028,-0.028,0.03,-0.03 +2.51,2.28,2.74,2.141,0.023,-0.023,0.024,-0.024 +2.965,2.74,3.19,1.708,0.021,-0.021,0.021,-0.021 +3.42,3.19,3.65,1.39,0.019,-0.019,0.019,-0.019 +3.875,3.65,4.1,1.156,0.018,-0.018,0.017,-0.017 +4.33,4.1,4.56,0.968,0.017,-0.017,0.016,-0.016 +5.015,4.56,5.47,0.774,0.015,-0.015,0.014,-0.014 +5.925,5.47,6.38,0.581,0.013,-0.013,0.011,-0.011 +6.835,6.38,7.29,0.451,0.011,-0.011,0.009,-0.009 +7.75,7.29,8.21,0.3597,0.0093,-0.0093,0.0077,-0.0077 +8.665,8.21,9.12,0.2877,0.0076,-0.0076,0.0063,-0.0063 +10.51,9.12,11.9,0.1948,0.0058,-0.0058,0.0047,-0.0047 +12.8,11.9,13.7,0.1232,0.0038,-0.0038,0.0034,-0.0034 +15.95,13.7,18.2,0.0707,0.0024,-0.0024,0.0025,-0.0025 +20.5,18.2,22.8,0.0324,0.0013,-0.0013,0.0021,-0.0021 +25.1,22.8,27.4,0.01528,0.00076,-0.00076,0.00203,-0.00203 +31.95,27.4,36.5,0.0053,0.00057,-0.00057,0.00202,-0.00202 +41.05,36.5,45.6,0.00079,0.00017,-0.00017,0.002,-0.002 + diff --git a/data/rawdata/charged_hadrons/OPAL/HEPData-ins472637-v1-Table_1.csv b/data/rawdata/charged_hadrons/OPAL/HEPData-ins472637-v1-Table_1.csv new file mode 100644 index 000000000..278b4053e --- /dev/null +++ b/data/rawdata/charged_hadrons/OPAL/HEPData-ins472637-v1-Table_1.csv @@ -0,0 +1,35 @@ +#: table_doi: 10.17182/hepdata.49410.v1/t1 +#: name: Table 1 +#: description: Fragmentation function for 'uds-quark' events. + +#: data_file: Table1.yaml +#: keyword reactions: E+ E- --> CHARGED X | E+ E- --> Z0 +#: keyword observables: DSIG/DX +#: keyword phrases: Inclusive | Exclusive | Single Differential Cross Section | E+ E- Scattering +#: keyword cmenergies: 91.2 +#: RE,,,E+ E- --> CHARGED X +#: SQRT(S) [GeV],,,91.2,,,, +X(DEF=2*P(P=3)/SQRT(S)),X(DEF=2*P(P=3)/SQRT(S)) LOW,X(DEF=2*P(P=3)/SQRT(S)) HIGH,(1/SIG(Q=HADRON))*D(SIG(C=UDS-EVENTS))/DX,stat +,stat -,sys +,sys - +0.005,0.0,0.01,388.0,5.0,-5.0,9.0,-9.0 +0.015,0.01,0.02,390.0,5.0,-5.0,10.0,-10.0 +0.025,0.02,0.03,241.0,4.0,-4.0,7.0,-7.0 +0.035,0.03,0.04,176.0,3.0,-3.0,5.0,-5.0 +0.045,0.04,0.05,122.6,2.7,-2.7,3.9,-3.9 +0.055,0.05,0.06,95.7,2.2,-2.2,2.9,-2.9 +0.065,0.06,0.07,79.3,1.9,-1.9,2.3,-2.3 +0.07500000000000001,0.07,0.08,65.0,1.6,-1.6,1.7,-1.7 +0.08499999999999999,0.08,0.09,53.3,1.6,-1.6,1.3,-1.3 +0.095,0.09,0.1,43.3,1.5,-1.5,1.0,-1.0 +0.11,0.1,0.12,35.1,0.9,-0.9,0.7,-0.7 +0.13,0.12,0.14,27.7,0.7,-0.7,0.4,-0.4 +0.15000000000000002,0.14,0.16,21.2,0.7,-0.7,0.4,-0.4 +0.16999999999999998,0.16,0.18,17.1,0.6,-0.6,0.3,-0.3 +0.19,0.18,0.2,13.3,0.6,-0.6,0.3,-0.3 +0.225,0.2,0.25,9.86,0.26,-0.26,0.3,-0.3 +0.275,0.25,0.3,6.3,0.19,-0.19,0.25,-0.25 +0.35,0.3,0.4,3.42,0.09,-0.09,0.17,-0.17 +0.45,0.4,0.5,1.5,0.05,-0.05,0.1,-0.1 +0.55,0.5,0.6,0.668,0.033,-0.033,0.048,-0.048 +0.7,0.6,0.8,0.241,0.008,-0.008,0.024,-0.024 +0.9,0.8,1.0,0.031,0.007,-0.007,0.007,-0.007 + diff --git a/data/rawdata/charged_hadrons/OPAL/HEPData-ins472637-v1-Table_2.csv b/data/rawdata/charged_hadrons/OPAL/HEPData-ins472637-v1-Table_2.csv new file mode 100644 index 000000000..582f2c537 --- /dev/null +++ b/data/rawdata/charged_hadrons/OPAL/HEPData-ins472637-v1-Table_2.csv @@ -0,0 +1,35 @@ +#: table_doi: 10.17182/hepdata.49410.v1/t2 +#: name: Table 2 +#: description: Fragmentation function for 'c-quark' events. + +#: data_file: Table2.yaml +#: keyword reactions: E+ E- --> CHARGED X | E+ E- --> Z0 +#: keyword observables: DSIG/DX +#: keyword phrases: Inclusive | Exclusive | Single Differential Cross Section | E+ E- Scattering +#: keyword cmenergies: 91.2 +#: RE,,,E+ E- --> CHARGED X +#: SQRT(S) [GeV],,,91.2,,,, +X(DEF=2*P(P=3)/SQRT(S)),X(DEF=2*P(P=3)/SQRT(S)) LOW,X(DEF=2*P(P=3)/SQRT(S)) HIGH,(1/SIG(C=HADRON))*D(SIG(C=C-EVENTS))/DX,stat +,stat -,sys +,sys - +0.005,0.0,0.01,413.0,19.0,-19.0,18.0,-18.0 +0.015,0.01,0.02,381.0,17.0,-17.0,11.0,-11.0 +0.025,0.02,0.03,287.0,13.0,-13.0,8.0,-8.0 +0.035,0.03,0.04,178.0,11.0,-11.0,6.0,-6.0 +0.045,0.04,0.05,159.0,10.0,-10.0,5.0,-5.0 +0.055,0.05,0.06,116.0,8.0,-8.0,4.0,-4.0 +0.065,0.06,0.07,79.0,7.0,-7.0,3.0,-3.0 +0.07500000000000001,0.07,0.08,61.0,6.0,-6.0,2.0,-2.0 +0.08499999999999999,0.08,0.09,59.0,6.0,-6.0,2.0,-2.0 +0.095,0.09,0.1,53.0,5.0,-5.0,2.0,-2.0 +0.11,0.1,0.12,41.9,3.2,-3.2,1.5,-1.5 +0.13,0.12,0.14,27.6,2.6,-2.6,1.2,-1.2 +0.15000000000000002,0.14,0.16,23.8,2.4,-2.4,1.0,-1.0 +0.16999999999999998,0.16,0.18,17.6,2.0,-2.0,0.8,-0.8 +0.19,0.18,0.2,16.5,1.9,-1.9,0.7,-0.7 +0.225,0.2,0.25,9.8,0.9,-0.9,0.5,-0.5 +0.275,0.25,0.3,5.5,0.7,-0.7,0.3,-0.3 +0.35,0.3,0.4,2.49,0.31,-0.31,0.19,-0.19 +0.45,0.4,0.5,0.95,0.19,-0.19,0.26,-0.26 +0.55,0.5,0.6,0.36,0.11,-0.11,0.1,-0.1 +0.7,0.6,0.8,0.014,0.041,-0.041,0.015,-0.015 +0.9,0.8,1.0,0.003,0.046,-0.046,0.012,-0.012 + diff --git a/data/rawdata/charged_hadrons/OPAL/HEPData-ins472637-v1-Table_3.csv b/data/rawdata/charged_hadrons/OPAL/HEPData-ins472637-v1-Table_3.csv new file mode 100644 index 000000000..fe0dd4e5a --- /dev/null +++ b/data/rawdata/charged_hadrons/OPAL/HEPData-ins472637-v1-Table_3.csv @@ -0,0 +1,35 @@ +#: table_doi: 10.17182/hepdata.49410.v1/t3 +#: name: Table 3 +#: description: Fragmentation function for 'b-quark' events. + +#: data_file: Table3.yaml +#: keyword reactions: E+ E- --> CHARGED X | E+ E- --> Z0 +#: keyword observables: DSIG/DX +#: keyword phrases: Inclusive | Exclusive | Single Differential Cross Section | E+ E- Scattering +#: keyword cmenergies: 91.2 +#: RE,,,E+ E- --> CHARGED X +#: SQRT(S) [GeV],,,91.2,,,, +X(DEF=2*P(P=3)/SQRT(S)),X(DEF=2*P(P=3)/SQRT(S)) LOW,X(DEF=2*P(P=3)/SQRT(S)) HIGH,(1/SIG(C=HADRON))*D(SIG(C=B-EVENTS))/DX,stat +,stat -,sys +,sys - +0.005,0.0,0.01,416.0,1.0,-1.0,8.0,-8.0 +0.015,0.01,0.02,447.0,1.0,-1.0,8.0,-8.0 +0.025,0.02,0.03,300.0,1.0,-1.0,7.0,-7.0 +0.035,0.03,0.04,215.0,1.0,-1.0,5.0,-5.0 +0.045,0.04,0.05,160.7,0.6,-0.6,4.1,-4.1 +0.055,0.05,0.06,126.1,0.5,-0.5,3.4,-3.4 +0.065,0.06,0.07,101.4,0.4,-0.4,2.7,-2.7 +0.07500000000000001,0.07,0.08,81.9,0.4,-0.4,2.2,-2.2 +0.08499999999999999,0.08,0.09,68.9,0.4,-0.4,1.9,-1.9 +0.095,0.09,0.1,57.1,0.3,-0.3,1.6,-1.6 +0.11,0.1,0.12,44.0,0.2,-0.2,1.3,-1.3 +0.13,0.12,0.14,30.9,0.2,-0.2,1.0,-1.0 +0.15000000000000002,0.14,0.16,22.5,0.1,-0.1,0.8,-0.8 +0.16999999999999998,0.16,0.18,16.8,0.1,-0.1,0.6,-0.6 +0.19,0.18,0.2,12.3,0.1,-0.1,0.5,-0.5 +0.225,0.2,0.25,7.82,0.05,-0.05,0.4,-0.4 +0.275,0.25,0.3,4.16,0.04,-0.04,0.29,-0.29 +0.35,0.3,0.4,1.84,0.02,-0.02,0.18,-0.18 +0.45,0.4,0.5,0.65,0.01,-0.01,0.1,-0.1 +0.55,0.5,0.6,0.21,0.006,-0.006,0.052,-0.052 +0.7,0.6,0.8,0.038,0.001,-0.001,0.02,-0.02 +0.9,0.8,1.0,0.004,0.0005,-0.0005,0.0035,-0.0035 + diff --git a/data/rawdata/charged_hadrons/OPAL/HEPData-ins472637-v1-Table_4.csv b/data/rawdata/charged_hadrons/OPAL/HEPData-ins472637-v1-Table_4.csv new file mode 100644 index 000000000..10b846be9 --- /dev/null +++ b/data/rawdata/charged_hadrons/OPAL/HEPData-ins472637-v1-Table_4.csv @@ -0,0 +1,35 @@ +#: table_doi: 10.17182/hepdata.49410.v1/t4 +#: name: Table 4 +#: description: The inclusive fragmentation function. + +#: data_file: Table4.yaml +#: keyword reactions: E+ E- --> CHARGED X | E+ E- --> Z0 +#: keyword observables: DSIG/DX +#: keyword phrases: Inclusive | Exclusive | Single Differential Cross Section | E+ E- Scattering +#: keyword cmenergies: 91.2 +#: RE,,,E+ E- --> CHARGED X +#: SQRT(S) [GeV],,,91.2,,,, +X(DEF=2*P(P=3)/SQRT(S)),X(DEF=2*P(P=3)/SQRT(S)) LOW,X(DEF=2*P(P=3)/SQRT(S)) HIGH,(1/SIG(Q=HADRON))*D(SIG)/DX,stat +,stat -,sys +,sys - +0.005,0.0,0.01,401.2,0.3,-0.3,7.4,-7.4 +0.015,0.01,0.02,401.6,0.2,-0.2,4.9,-4.9 +0.025,0.02,0.03,262.8,0.2,-0.2,3.9,-3.9 +0.035,0.03,0.04,185.5,0.2,-0.2,2.9,-2.9 +0.045,0.04,0.05,137.5,0.1,-0.1,2.1,-2.1 +0.055,0.05,0.06,106.2,0.1,-0.1,1.6,-1.6 +0.065,0.06,0.07,84.5,0.1,-0.1,1.2,-1.2 +0.07500000000000001,0.07,0.08,68.3,0.1,-0.1,0.9,-0.9 +0.08499999999999999,0.08,0.09,57.9,0.1,-0.1,0.7,-0.7 +0.095,0.09,0.1,47.9,0.1,-0.1,0.6,-0.6 +0.11,0.1,0.12,38.19,0.05,-0.05,0.42,-0.42 +0.13,0.12,0.14,28.3,0.04,-0.04,0.28,-0.28 +0.15000000000000002,0.14,0.16,21.88,0.03,-0.03,0.19,-0.19 +0.16999999999999998,0.16,0.18,17.1,0.03,-0.03,0.16,-0.16 +0.19,0.18,0.2,13.54,0.03,-0.03,0.14,-0.14 +0.225,0.2,0.25,9.37,0.01,-0.01,0.11,-0.11 +0.275,0.25,0.3,5.66,0.01,-0.01,0.08,-0.08 +0.35,0.3,0.4,2.89,0.01,-0.01,0.05,-0.05 +0.45,0.4,0.5,1.208,0.004,-0.004,0.036,-0.036 +0.55,0.5,0.6,0.506,0.002,-0.002,0.018,-0.018 +0.7,0.6,0.8,0.153,0.001,-0.001,0.012,-0.012 +0.9,0.8,1.0,0.0199,0.0003,-0.0003,0.0044,-0.0044 + diff --git a/data/rawdata/charged_hadrons/SLD/HEPData-ins630327-v1-Table_1.csv b/data/rawdata/charged_hadrons/SLD/HEPData-ins630327-v1-Table_1.csv new file mode 100644 index 000000000..11b800e6b --- /dev/null +++ b/data/rawdata/charged_hadrons/SLD/HEPData-ins630327-v1-Table_1.csv @@ -0,0 +1,53 @@ +#: table_doi: 10.17182/hepdata.22177.v1/t1,,,,,,,,, +#: name: Table 1,,,,,,,,, +#: description: Production rates of all stable charged particles. The statistical and systematic errors are shown separately for the momentum distribution. They are combined in quadrature for the other two distributions. The first DSYS error is due tothe uncertainty in the track finding efficiency and the second DSYS error is th e rest of the systematic error.,,,,,,,,, +,,,,,,,,, +#: data_file: Table1.yaml,,,,,,,,, +#: keyword reactions: E+ E- --> CHARGED X | E+ E- --> Z0,,,,,,,,, +#: keyword observables: DN/DP | DN/DX,,,,,,,,, +#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering,,,,,,,,, +#: keyword cmenergies: 91.28,,,,,,,,, +#: RE(Q=CHGD),,,E+ E- --> CHARGED X,,,,,, +#: RE(Q=Z0),,,E+ E- --> Z0 < HADRONS >,,,,,, +#: SQRT(S) [GeV],,,91.28,,,,,, +P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,(1/N(Q=Z0))*D(N(Q=CHGD))/DP,stat +,stat -,sys_1 +,sys_1 -,sys_2 +,sys_2 - +0.3,0.25,0.35,11.166,0.022,-0.022,0.115,-0.115,0.173,-0.173 +0.4,0.35,0.45,11.271,0.022,-0.022,0.116,-0.116,0.128,-0.128 +0.499,0.45,0.55,10.646,0.022,-0.022,0.109,-0.109,0.096,-0.096 +0.599,0.55,0.65,9.724,0.021,-0.021,0.099,-0.099,0.073,-0.073 +0.699,0.65,0.75,8.744,0.02,-0.02,0.089,-0.089,0.057,-0.057 +0.87,0.75,1,7.364,0.011,-0.011,0.075,-0.075,0.04,-0.04 +1.121,1,1.25,5.86,0.01,-0.01,0.059,-0.059,0.024,-0.024 +1.371,1.25,1.5,4.775,0.009,-0.009,0.048,-0.048,0.015,-0.015 +1.622,1.5,1.75,3.962,0.008,-0.008,0.04,-0.04,0.011,-0.011 +1.872,1.75,2,3.36,0.008,-0.008,0.034,-0.034,0.009,-0.009 +2.122,2,2.25,2.865,0.007,-0.007,0.029,-0.029,0.007,-0.007 +2.375,2.25,2.5,2.488,0.007,-0.007,0.025,-0.025,0.005,-0.005 +2.625,2.5,2.75,2.173,0.006,-0.006,0.022,-0.022,0.004,-0.004 +2.875,2.75,3,1.92,0.006,-0.006,0.019,-0.019,0.004,-0.004 +3.125,3,3.25,1.701,0.005,-0.005,0.017,-0.017,0.003,-0.003 +3.375,3.25,3.5,1.53,0.005,-0.005,0.015,-0.015,0.003,-0.003 +3.625,3.5,3.75,1.378,0.005,-0.005,0.014,-0.014,0.002,-0.002 +3.875,3.75,4,1.244,0.005,-0.005,0.013,-0.013,0.002,-0.002 +4.244,4,4.5,1.072,0.003,-0.003,0.011,-0.011,0.001,-0.001 +4.744,4.5,5,0.894,0.003,-0.003,0.009,-0.009,0.001,-0.001 +5.244,5,5.5,0.754,0.003,-0.003,0.008,-0.008,0.001,-0.001 +5.975,5.5,6.5,0.6,0.002,-0.002,0.006,-0.006,0.001,-0.001 +6.977,6.5,7.5,0.4502,0.0014,-0.0014,0.0049,-0.0049,0.0005,-0.0005 +7.98,7.5,8.5,0.3429,0.0012,-0.0012,0.0039,-0.0039,0.0003,-0.0003 +8.982,8.5,9.5,0.2687,0.0011,-0.0011,0.0032,-0.0032,0.0003,-0.0003 +9.98,9.5,10.5,0.212,0.001,-0.001,0.0026,-0.0026,0.0002,-0.0002 +10.99,10.5,11.5,0.17,0.0009,-0.0009,0.0022,-0.0022,0.0002,-0.0002 +11.99,11.5,12.5,0.1351,0.0008,-0.0008,0.0018,-0.0018,0.0001,-0.0001 +12.99,12.5,13.5,0.1103,0.0007,-0.0007,0.0016,-0.0016,0.0001,-0.0001 +13.99,13.5,14.5,0.0889,0.0006,-0.0006,0.0013,-0.0013,0.0001,-0.0001 +15.22,14.5,16,0.0688,0.0005,-0.0005,0.0011,-0.0011,0.0001,-0.0001 +16.72,16,17.5,0.0513,0.0004,-0.0004,0.0009,-0.0009,0.0001,-0.0001 +18.23,17.5,19,0.0383,0.0003,-0.0003,0.0007,-0.0007,0.0001,-0.0001 +19.72,19,20.5,0.0291,0.0003,-0.0003,0.0006,-0.0006,0.0001,-0.0001 +21.21,20.5,22,0.0221,0.0003,-0.0003,0.0005,-0.0005,0.0001,-0.0001 +22.96,22,24,0.0159,0.0002,-0.0002,0.0004,-0.0004,0.0001,-0.0001 +24.94,24,26,0.0105,0.0001,-0.0001,0.0003,-0.0003,0.0001,-0.0001 +27.74,26,30,0.0063,0.0001,-0.0001,0.0002,-0.0002,0.0001,-0.0001 +32.14,30,35,0.0025,0,0,0.0001,-0.0001,0.0001,-0.0001 +38.23,35,45,0.0005,0,0,0,0,0.0001,-0.0001 diff --git a/data/rawdata/charged_hadrons/SLD/HEPData-ins630327-v1-Table_8.csv b/data/rawdata/charged_hadrons/SLD/HEPData-ins630327-v1-Table_8.csv new file mode 100644 index 000000000..2052dd09c --- /dev/null +++ b/data/rawdata/charged_hadrons/SLD/HEPData-ins630327-v1-Table_8.csv @@ -0,0 +1,150 @@ +#: table_doi: 10.17182/hepdata.22177.v1/t8 +#: name: Table 8 +#: description: Differential production rates of stable charged particles per Z0 decay intolight (u,d,s) and c and b quarks. The errors are combined statistical and syste matic. + +#: data_file: Table8.yaml +#: keyword reactions: E+ E- --> CHARGED X | E+ E- --> Z0 +#: keyword observables: DN/DX +#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering +#: keyword cmenergies: 91.28 +#: RE(Q=CHGD),E+ E- --> CHARGED X +#: RE(Q=ZB),E+ E- --> Z0 < BQUARK BQUARKBAR > +#: RE(Q=ZC),E+ E- --> Z0 < CQUARK CQUARKBAR > +#: RE(Q=ZL),E+ E- --> Z0 < LQUARK LQUARKBAR > +#: SQRT(S) [GeV],91.28,, +X(DEF=2*P(P=3)/SQRT(S)),(1/N(Q=ZL))*D(N(Q=CHGD))/DX,error +,error - +0.0066,507.8,11.9,-11.9 +0.0088,505.2,9.2,-9.2 +0.0109,465.3,7.5,-7.5 +0.0131,421.9,6.3,-6.3 +0.0153,371.7,5.8,-5.8 +0.0191,315.5,4.2,-4.2 +0.0246,250.5,3.2,-3.2 +0.0301,200.3,2.3,-2.3 +0.0356,167.3,2.0,-2.0 +0.0411,140.4,1.6,-1.6 +0.0465,121.2,1.3,-1.3 +0.0521,105.5,1.1,-1.1 +0.0576,91.2,1.0,-1.0 +0.063,81.29,0.89,-0.89 +0.0685,72.69,0.81,-0.81 +0.074,65.92,0.76,-0.76 +0.0795,58.06,0.7,-0.7 +0.085,53.26,0.66,-0.66 +0.0931,45.37,0.48,-0.48 +0.104,38.55,0.43,-0.43 +0.115,32.84,0.41,-0.41 +0.131,26.05,0.28,-0.28 +0.153,19.79,0.29,-0.29 +0.175,15.75,0.35,-0.35 +0.197,12.16,0.17,-0.17 +0.2189,10.27,0.14,-0.14 +0.241,8.14,0.11,-0.11 +0.2629,6.62,0.1,-0.1 +0.2849,5.565,0.087,-0.087 +0.3068,4.428,0.076,-0.076 +0.3338,3.588,0.057,-0.057 +0.3666,2.706,0.049,-0.049 +0.3997,2.062,0.042,-0.042 +0.4325,1.631,0.037,-0.037 +0.4651,1.193,0.034,-0.034 +0.5035,0.912,0.026,-0.026 +0.547,0.632,0.023,-0.023 +0.6083,0.398,0.015,-0.015 +0.7047,0.172,0.011,-0.011 +0.8383,0.027,0.005,-0.005 + +#: RE(Q=CHGD),E+ E- --> CHARGED X +#: RE(Q=ZB),E+ E- --> Z0 < BQUARK BQUARKBAR > +#: RE(Q=ZC),E+ E- --> Z0 < CQUARK CQUARKBAR > +#: RE(Q=ZL),E+ E- --> Z0 < LQUARK LQUARKBAR > +#: SQRT(S) [GeV],91.28,, +X(DEF=2*P(P=3)/SQRT(S)),(1/N(Q=ZC))*D(N(Q=CHGD))/DX,error +,error - +0.0066,468.7,25.3,-25.3 +0.0088,485.4,22.6,-22.6 +0.0109,507.2,20.2,-20.2 +0.0131,464.0,17.6,-17.6 +0.0153,422.9,16.9,-16.9 +0.0191,349.1,12.7,-12.7 +0.0246,274.1,9.5,-9.5 +0.0301,231.5,7.3,-7.3 +0.0356,187.5,6.9,-6.9 +0.0411,162.3,5.2,-5.2 +0.0465,136.6,4.2,-4.2 +0.0521,117.3,3.6,-3.6 +0.0576,99.1,3.0,-3.0 +0.063,89.21,2.65,-2.65 +0.0685,78.25,2.42,-2.42 +0.074,69.26,2.23,-2.23 +0.0795,62.25,2.06,-2.06 +0.085,55.28,1.93,-1.93 +0.0931,49.14,1.42,-1.42 +0.104,40.11,1.29,-1.29 +0.115,35.64,1.22,-1.22 +0.131,28.94,0.83,-0.83 +0.153,21.99,0.86,-0.86 +0.175,16.51,1.03,-1.03 +0.197,12.69,0.5,-0.5 +0.2189,10.41,0.4,-0.4 +0.241,7.86,0.32,-0.32 +0.2629,6.37,0.28,-0.28 +0.2849,5.06,0.241,-0.241 +0.3068,4.08,0.21,-0.21 +0.3338,3.123,0.156,-0.156 +0.3666,2.141,0.126,-0.126 +0.3997,1.472,0.106,-0.106 +0.4325,0.952,0.09,-0.09 +0.4651,0.935,0.085,-0.085 +0.5035,0.485,0.061,-0.061 +0.547,0.372,0.055,-0.055 +0.6083,0.14,0.031,-0.031 +0.7047,0.027,0.016,-0.016 +0.8383,0.011,0.01,-0.01 + +#: RE(Q=CHGD),E+ E- --> CHARGED X +#: RE(Q=ZB),E+ E- --> Z0 < BQUARK BQUARKBAR > +#: RE(Q=ZC),E+ E- --> Z0 < CQUARK CQUARKBAR > +#: RE(Q=ZL),E+ E- --> Z0 < LQUARK LQUARKBAR > +#: SQRT(S) [GeV],91.28,, +X(DEF=2*P(P=3)/SQRT(S)),(1/N(Q=ZB))*D(N(Q=CHGD))/DX,error +,error - +0.0066,546.1,14.2,-14.2 +0.0088,558.5,10.3,-10.3 +0.0109,531.9,8.0,-8.0 +0.0131,490.8,6.3,-6.3 +0.0153,436.5,6.7,-6.7 +0.0191,382.8,4.4,-4.4 +0.0246,308.6,3.4,-3.4 +0.0301,254.8,2.6,-2.6 +0.0356,213.2,2.1,-2.1 +0.0411,182.1,1.9,-1.9 +0.0465,154.5,1.7,-1.7 +0.0521,134.3,1.6,-1.6 +0.0576,118.6,1.4,-1.4 +0.063,102.4,1.3,-1.3 +0.0685,91.92,1.22,-1.22 +0.074,83.63,1.14,-1.14 +0.0795,75.06,1.1,-1.1 +0.085,66.58,1.04,-1.04 +0.0931,57.31,0.74,-0.74 +0.104,47.8,0.71,-0.71 +0.115,39.19,0.67,-0.67 +0.131,29.54,0.48,-0.48 +0.153,20.69,0.48,-0.48 +0.175,15.36,0.55,-0.55 +0.197,10.65,0.26,-0.26 +0.2189,8.06,0.2,-0.2 +0.241,6.28,0.16,-0.16 +0.2629,4.69,0.13,-0.13 +0.2849,3.49,0.11,-0.11 +0.3068,2.935,0.098,-0.098 +0.3338,2.041,0.068,-0.068 +0.3666,1.534,0.058,-0.058 +0.3997,1.111,0.051,-0.051 +0.4325,0.736,0.042,-0.042 +0.4651,0.51,0.037,-0.037 +0.5035,0.33,0.027,-0.027 +0.547,0.188,0.022,-0.022 +0.6083,0.089,0.012,-0.012 +0.7047,0.017,0.006,-0.006 +0.8383,0.003,0.002,-0.002 + diff --git a/data/rawdata/charged_hadrons/TASSO/HEPData-ins294755-v1-Table_2.csv b/data/rawdata/charged_hadrons/TASSO/HEPData-ins294755-v1-Table_2.csv new file mode 100644 index 000000000..c0b0af9fe --- /dev/null +++ b/data/rawdata/charged_hadrons/TASSO/HEPData-ins294755-v1-Table_2.csv @@ -0,0 +1,109 @@ +#: table_doi: 10.17182/hepdata.45170.v1/t2 +#: name: Table 2 +#: description: Normalised scaled momentum distributions. Data have combined statistical and systematic errors. These data superceded previous TASSO data (ZP C22 (84) 307 ( RED = 1279 )). + +#: data_file: Table2.yaml +#: keyword reactions: E+ E- --> CHGD-HADRONS +#: keyword observables: DSIG/DX +#: keyword phrases: Exclusive | Single Differential Cross Section | E+ E- Scattering +#: keyword cmenergies: 14.0-44.0 +#: RE,,,E+ E- --> CHGD-HADRONS +#: SQRT(S) [GeV],,,14.0,, +X(DEF=2*P(P=3)/SQRT(S)),X(DEF=2*P(P=3)/SQRT(S)) LOW,X(DEF=2*P(P=3)/SQRT(S)) HIGH,(1/SIG) * D(SIG)/DX,error +,error - +0.025,0.02,0.03,47.2,1.7,-1.7 +0.035,0.03,0.04,56.5,3.6,-3.6 +0.045,0.04,0.05,66.3,2.1,-2.1 +0.055,0.05,0.06,62.9,2.7,-2.7 +0.07,0.06,0.08,58.0,2.3,-2.3 +0.09,0.08,0.1,44.9,1.7,-1.7 +0.11,0.1,0.12,36.1,1.3,-1.3 +0.13,0.12,0.14,29.4,1.0,-1.0 +0.15000000000000002,0.14,0.16,22.05,0.96,-0.96 +0.16999999999999998,0.16,0.18,18.9,1.7,-1.7 +0.19,0.18,0.2,16.01,0.95,-0.95 +0.225,0.2,0.25,11.58,0.42,-0.42 +0.275,0.25,0.3,7.44,0.48,-0.48 +0.32499999999999996,0.3,0.35,5.28,0.3,-0.3 +0.375,0.35,0.4,3.15,0.35,-0.35 +0.45,0.4,0.5,1.75,0.11,-0.11 +0.55,0.5,0.6,0.95,0.13,-0.13 +0.6499999999999999,0.6,0.7,0.342,0.056,-0.056 +0.75,0.7,0.8,0.181,0.041,-0.041 +0.9,0.8,1.0,0.058,0.017,-0.017 +0.5,0.0,1.0,0.1302,0.0023,-0.0023 + +#: RE,,,E+ E- --> CHGD-HADRONS +#: SQRT(S) [GeV],,,22.0,, +X(DEF=2*P(P=3)/SQRT(S)),X(DEF=2*P(P=3)/SQRT(S)) LOW,X(DEF=2*P(P=3)/SQRT(S)) HIGH,(1/SIG) * D(SIG)/DX,error +,error - +0.025,0.02,0.03,94.0,3.9,-3.9 +0.035,0.03,0.04,102.2,3.3,-3.3 +0.045,0.04,0.05,90.7,3.9,-3.9 +0.055,0.05,0.06,85.9,3.6,-3.6 +0.07,0.06,0.08,65.7,2.0,-2.0 +0.09,0.08,0.1,50.3,2.1,-2.1 +0.11,0.1,0.12,35.4,1.5,-1.5 +0.13,0.12,0.14,27.0,1.3,-1.3 +0.15000000000000002,0.14,0.16,21.8,1.3,-1.3 +0.16999999999999998,0.16,0.18,17.1,1.2,-1.2 +0.19,0.18,0.2,15.16,0.95,-0.95 +0.225,0.2,0.25,10.78,0.47,-0.47 +0.275,0.25,0.3,7.05,0.38,-0.38 +0.32499999999999996,0.3,0.35,4.65,0.38,-0.38 +0.375,0.35,0.4,3.13,0.32,-0.32 +0.45,0.4,0.5,1.76,0.15,-0.15 +0.55,0.5,0.6,0.82,0.13,-0.13 +0.6499999999999999,0.6,0.7,0.41,0.11,-0.11 +0.75,0.7,0.8,0.193,0.05,-0.05 +0.9,0.8,1.0,0.056,0.025,-0.025 +0.5,0.0,1.0,0.1102,0.002,-0.002 + +#: RE,,,E+ E- --> CHGD-HADRONS +#: SQRT(S) [GeV],,,35.0,, +X(DEF=2*P(P=3)/SQRT(S)),X(DEF=2*P(P=3)/SQRT(S)) LOW,X(DEF=2*P(P=3)/SQRT(S)) HIGH,(1/SIG) * D(SIG)/DX,error +,error - +0.025,0.02,0.03,169.3,2.4,-2.4 +0.035,0.03,0.04,143.7,2.7,-2.7 +0.045,0.04,0.05,115.5,1.6,-1.6 +0.055,0.05,0.06,93.3,1.5,-1.5 +0.07,0.06,0.08,69.2,1.2,-1.2 +0.09,0.08,0.1,49.7,1.1,-1.1 +0.11,0.1,0.12,36.33,0.43,-0.43 +0.13,0.12,0.14,28.08,0.37,-0.37 +0.15000000000000002,0.14,0.16,22.43,0.35,-0.35 +0.16999999999999998,0.16,0.18,18.02,0.31,-0.31 +0.19,0.18,0.2,14.38,0.28,-0.28 +0.225,0.2,0.25,10.24,0.16,-0.16 +0.275,0.25,0.3,6.43,0.11,-0.11 +0.32499999999999996,0.3,0.35,4.23,0.1,-0.1 +0.375,0.35,0.4,2.719,0.087,-0.087 +0.45,0.4,0.5,1.587,0.037,-0.037 +0.55,0.5,0.6,0.782,0.028,-0.028 +0.6499999999999999,0.6,0.7,0.341,0.023,-0.023 +0.75,0.7,0.8,0.162,0.018,-0.018 +0.9,0.8,1.0,0.03,0.012,-0.012 +0.5,0.0,1.0,0.0908,0.0008,-0.0008 + +#: RE,,,E+ E- --> CHGD-HADRONS +#: SQRT(S) [GeV],,,44.0,, +X(DEF=2*P(P=3)/SQRT(S)),X(DEF=2*P(P=3)/SQRT(S)) LOW,X(DEF=2*P(P=3)/SQRT(S)) HIGH,(1/SIG) * D(SIG)/DX,error +,error - +0.025,0.02,0.03,191.8,3.9,-3.9 +0.035,0.03,0.04,152.7,3.0,-3.0 +0.045,0.04,0.05,118.5,2.9,-2.9 +0.055,0.05,0.06,95.0,2.7,-2.7 +0.07,0.06,0.08,70.5,1.3,-1.3 +0.09,0.08,0.1,49.0,1.7,-1.7 +0.11,0.1,0.12,37.17,0.89,-0.89 +0.13,0.12,0.14,28.67,0.84,-0.84 +0.15000000000000002,0.14,0.16,22.66,0.61,-0.61 +0.16999999999999998,0.16,0.18,17.79,0.76,-0.76 +0.19,0.18,0.2,13.45,0.47,-0.47 +0.225,0.2,0.25,10.06,0.32,-0.32 +0.275,0.25,0.3,6.18,0.23,-0.23 +0.32499999999999996,0.3,0.35,4.08,0.18,-0.18 +0.375,0.35,0.4,2.66,0.14,-0.14 +0.45,0.4,0.5,1.517,0.072,-0.072 +0.55,0.5,0.6,0.631,0.052,-0.052 +0.6499999999999999,0.6,0.7,0.331,0.031,-0.031 +0.75,0.7,0.8,0.129,0.017,-0.017 +0.9,0.8,1.0,0.0309,0.0059,-0.0059 +0.5,0.0,1.0,0.0839,0.0009,-0.0009 + diff --git a/data/rawdata/charged_hadrons/TPC/HEPData-ins262143-v1-Table_1.csv b/data/rawdata/charged_hadrons/TPC/HEPData-ins262143-v1-Table_1.csv new file mode 100644 index 000000000..4561f3e98 --- /dev/null +++ b/data/rawdata/charged_hadrons/TPC/HEPData-ins262143-v1-Table_1.csv @@ -0,0 +1,136 @@ +#: table_doi: 10.17182/hepdata.38102.v1/t1,,,,, +#: name: Table 1,,,,, +#: description: No description provided.,,,,, +#: data_file: Table1.yaml,,,,, +#: keyword reactions: E+ E- --> CHGD-HADRONS X | E+ E- --> K- X | E+ E- --> K+ X | E+ E- --> PBAR X | E+ E- --> PI- X | E+ E- --> PI+ X | E+ E- --> P X,,,,, +#: keyword observables: DSIG/DZ,,,,, +#: keyword phrases: Inclusive | Single Differential Cross Section | E+ E- Scattering | Strange production,,,,, +#: keyword cmenergies: 29.0,,,,, +#: RE,,,E+ E- --> (PI+ + PI-) X,, +#: SQRT(S) [GeV],,,29,, +#: SYS,,,Errors contain systematic errors added in quadrature. Statistical errors dominate above Z,, +Z(DEF=P(P=3)/P(P=1)),Z(DEF=P(P=3)/P(P=1)) LOW,Z(DEF=P(P=3)/P(P=1)) HIGH,(1/SIG(C=TOTAL))*D(SIG)/D(Z),error +,error - +0.0125,0.01,0.015,88.4,7.2,-7.2 +0.0175,0.015,0.02,138.3,5.4,-5.4 +0.0225,0.02,0.025,149.5,6.6,-6.6 +0.0275,0.025,0.03,144.2,5,-5 +0.0325,0.03,0.035,130.9,4.1,-4.1 +0.0375,0.035,0.04,112.9,3.5,-3.5 +0.0425,0.04,0.045,104.6,3.2,-3.2 +0.0475,0.045,0.05,93.8,3,-3 +0.0525,0.05,0.055,83.8,2.7,-2.7 +0.0575,0.055,0.06,76,2.5,-2.5 +0.0625,0.06,0.065,68.2,2.6,-2.6 +0.0675,0.065,0.07,60.9,3,-3 +0.0725,0.07,0.075,-,0,0 +0.0775,0.075,0.08,-,0,0 +0.0825,0.08,0.085,-,0,0 +0.0875,0.085,0.09,-,0,0 +0.095,0.09,0.1,36,1.9,-1.9 +0.105,0.1,0.11,29.9,1.5,-1.5 +0.115,0.11,0.12,-,0,0 +0.125,0.12,0.13,-,0,0 +0.135,0.13,0.14,-,0,0 +0.145,0.14,0.15,-,0,0 +0.155,0.15,0.16,-,0,0 +0.17,0.16,0.18,12.48,0.51,-0.51 +0.19,0.18,0.2,10.77,0.45,-0.45 +0.21,0.2,0.22,7.95,0.36,-0.36 +0.235,0.22,0.25,6.13,0.26,-0.26 +0.275,0.25,0.3,4.09,0.14,-0.14 +0.325,0.3,0.35,2.61,0.1,-0.1 +0.375,0.35,0.4,1.581,0.071,-0.071 +0.45,0.4,0.5,0.874,0.038,-0.038 +0.55,0.5,0.6,0.37,0.022,-0.022 +0.65,0.6,0.7,0.19,0.015,-0.015 +0.8,0.7,0.9,0.0466,0.007,-0.007 +,,,,, +#: RE,,,E+ E- --> (K+ + K-) X,, +#: SQRT(S) [GeV],,,29,, +#: SYS,,,Errors contain systematic errors added in quadrature. Statistical errors dominate above Z,, +Z(DEF=P(P=3)/P(P=1)),Z(DEF=P(P=3)/P(P=1)) LOW,Z(DEF=P(P=3)/P(P=1)) HIGH,(1/SIG(C=TOTAL))*D(SIG)/D(Z),error +,error - +0.0275,0.025,0.03,5.56,0.49,-0.49 +0.0325,0.03,0.035,7.21,0.56,-0.56 +0.0375,0.035,0.04,7.6,0.59,-0.59 +0.0425,0.04,0.045,9.3,1.2,-1.2 +0.0475,0.045,0.05,8.55,0.96,-0.96 +0.0525,0.05,0.055,8.73,0.65,-0.65 +0.0575,0.055,0.06,8.48,0.74,-0.74 +0.0625,0.06,0.065,9.2,1.3,-1.3 +0.0675,0.065,0.07,8.8,2.3,-2.3 +0.095,0.09,0.1,5.6,1.5,-1.5 +0.105,0.1,0.11,6.32,0.92,-0.92 +0.115,0.11,0.12,5.13,0.61,-0.61 +0.125,0.12,0.13,5.13,0.49,-0.49 +0.135,0.13,0.14,5,0.38,-0.38 +0.275,0.25,0.3,1.73,0.11,-0.11 +0.325,0.3,0.35,1.161,0.073,-0.073 +0.375,0.35,0.4,0.842,0.055,-0.055 +0.45,0.4,0.5,0.47,0.03,-0.03 +0.55,0.5,0.6,0.249,0.02,-0.02 +0.65,0.6,0.7,0.09,0.012,-0.012 +0.8,0.7,0.9,0.0225,0.0048,-0.0048 +,,,,, +#: RE,,,E+ E- --> (P + PBAR) X,, +#: SQRT(S) [GeV],,,29,, +#: SYS,,,Errors contain systematic errors added in quadrature. Statistical errors dominate above Z,, +Z(DEF=P(P=3)/P(P=1)),Z(DEF=P(P=3)/P(P=1)) LOW,Z(DEF=P(P=3)/P(P=1)) HIGH,(1/SIG(C=TOTAL))*D(SIG)/D(Z),error +,error - +0.0375,0.035,0.04,3.63,0.65,-0.65 +0.0425,0.04,0.045,3.46,0.46,-0.46 +0.0475,0.045,0.05,3.99,0.46,-0.46 +0.0525,0.05,0.055,3.64,0.41,-0.41 +0.0575,0.055,0.06,3.35,0.39,-0.39 +0.0625,0.06,0.065,3.32,0.39,-0.39 +0.0675,0.065,0.07,2.76,0.33,-0.33 +0.0725,0.07,0.075,4,0.48,-0.48 +0.0775,0.075,0.08,3.04,0.58,-0.58 +0.0825,0.08,0.085,3.9,1.2,-1.2 +0.0875,0.085,0.09,3.43,0.57,-0.57 +0.095,0.09,0.1,3.06,0.33,-0.33 +0.105,0.1,0.11,2.69,0.6,-0.6 +0.275,0.25,0.3,0.42,0.1,-0.1 +0.325,0.3,0.35,0.313,0.062,-0.062 +0.375,0.35,0.4,0.222,0.046,-0.046 +0.45,0.4,0.5,0.12,0.022,-0.022 +0.55,0.5,0.6,0.044,0.012,-0.012 +0.65,0.6,0.7,0.0305,0.008,-0.008 +0.8,0.7,0.9,0.0064,0.0023,-0.0023 +,,,,, +#: RE,,,E+ E- --> CHGD-HADRONS X,, +#: SQRT(S) [GeV],,,29,, +#: SYS,,,Errors contain systematic errors added in quadrature. Statistical errors dominate above Z,, +Z(DEF=P(P=3)/P(P=1)),Z(DEF=P(P=3)/P(P=1)) LOW,Z(DEF=P(P=3)/P(P=1)) HIGH,(1/SIG(C=TOTAL))*D(SIG)/D(Z),error +,error - +0.0125,0.01,0.015,91.5,7.4,-7.4 +0.0175,0.015,0.02,144.8,5.6,-5.6 +0.0225,0.02,0.025,157.7,7,-7 +0.0275,0.025,0.03,153.4,5.2,-5.2 +0.0325,0.03,0.035,142.2,4.3,-4.3 +0.0375,0.035,0.04,124.1,3.8,-3.8 +0.0425,0.04,0.045,117.3,3.6,-3.6 +0.0475,0.045,0.05,106.4,3.3,-3.3 +0.0525,0.05,0.055,96.2,3,-3 +0.0575,0.055,0.06,87.8,2.7,-2.7 +0.0625,0.06,0.065,80.7,2.6,-2.6 +0.0675,0.065,0.07,72.5,2.4,-2.4 +0.0725,0.07,0.075,69.2,2.4,-2.4 +0.0775,0.075,0.08,60,2.2,-2.2 +0.0825,0.08,0.085,53.3,2.2,-2.2 +0.0875,0.085,0.09,49.2,1.8,-1.8 +0.095,0.09,0.1,44.6,1.4,-1.4 +0.105,0.1,0.11,39,1.3,-1.3 +0.115,0.11,0.12,33.9,1.3,-1.3 +0.125,0.12,0.13,29.4,1.1,-1.1 +0.135,0.13,0.14,26.1,1,-1 +0.145,0.14,0.15,22.11,0.82,-0.82 +0.155,0.15,0.16,20.44,0.79,-0.79 +0.17,0.16,0.18,17,0.58,-0.58 +0.19,0.18,0.2,14.38,0.58,-0.58 +0.21,0.2,0.22,11.31,0.44,-0.44 +0.235,0.22,0.25,8.96,0.32,-0.32 +0.275,0.25,0.3,6.24,0.18,-0.18 +0.325,0.3,0.35,4.08,0.13,-0.13 +0.375,0.35,0.4,2.644,0.093,-0.093 +0.45,0.4,0.5,1.463,0.049,-0.049 +0.55,0.5,0.6,0.663,0.029,-0.029 +0.65,0.6,0.7,0.31,0.019,-0.019 +0.8,0.7,0.9,0.0755,0.0098,-0.0098 diff --git a/data/rawdata/charged_hadrons/filter.py b/data/rawdata/charged_hadrons/filter.py new file mode 100644 index 000000000..8213477ed --- /dev/null +++ b/data/rawdata/charged_hadrons/filter.py @@ -0,0 +1,824 @@ +import sys +import pandas as pd +import yaml +import numpy as np + +#mKA = 0.493677 # GeV + +# TASSO14 - inclusive +def filter_TASSO14_HA(): + nameexp = 'TASSO_14_HA_PLUS_MINUS' + infile = 'TASSO/HEPData-ins294755-v1-Table_2.csv' + ndata = 20 + cme = 14.00 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=12, + sep=',', + header=None, + usecols=[0,1,2,3,4,5], + skipfooter=76, + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "TASSO14 $h^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ',units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: HA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (data.iloc[i,4]), file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = 1. + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], factor), file=f) + print('- header: {name: "xp"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# TASSO22 - inclusive +def filter_TASSO22_HA(): + nameexp = 'TASSO_22_HA_PLUS_MINUS' + infile = 'TASSO/HEPData-ins294755-v1-Table_2.csv' + ndata = 20 + cme = 22.00 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=37, + sep=',', + header=None, + usecols=[0,1,2,3,4,5], + skipfooter=51, + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "TASSO22 $h^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ',units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: HA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (data.iloc[i,4]), file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = 1. + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], factor), file=f) + print('- header: {name: "xp"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# TASSO35 - inclusive +def filter_TASSO35_HA(): + nameexp = 'TASSO_35_HA_PLUS_MINUS' + infile = 'TASSO/HEPData-ins294755-v1-Table_2.csv' + ndata = 20 + cme = 35.00 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=62, + sep=',', + header=None, + usecols=[0,1,2,3,4,5], + skipfooter=26, + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "TASSO35 $h^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ',units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: HA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (data.iloc[i,4]), file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = 1. + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], factor), file=f) + print('- header: {name: "xp"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# TASSO44 - inclusive +def filter_TASSO44_HA(): + nameexp = 'TASSO_44_HA_PLUS_MINUS' + infile = 'TASSO/HEPData-ins294755-v1-Table_2.csv' + ndata = 20 + cme = 44.00 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=87, + sep=',', + header=None, + usecols=[0,1,2,3,4,5], + skipfooter=1, + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "TASSO44 $h^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ',units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: HA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (data.iloc[i,4]), file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = 1. + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], factor), file=f) + print('- header: {name: "xp"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# TPC - inclusive +def filter_TPC_KA(): + nameexp = 'TPC_HA_PLUS_MINUS' + infile = 'TPC/HEPData-ins262143-v1-Table_1.csv' + ndata = 34 + cme = 29.00 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=102, + sep=',', + header=None, + usecols=[0,1,2,3,4,5], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "TPC $h^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: HA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (data.iloc[i,4]), file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + + for i in range(ndata): + factor = 1. + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], 1./factor), file=f) + print('- header: {name: "xp"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# ALEPH - inclusive +def filter_ALEPH_HA(): + nameexp = 'ALEPH_HA_PLUS_MINUS' + infile = 'ALEPH/HEPData-ins398195-v1-Table_1.csv' + ndata = 35 + cme = 91.20 #GeV + zmin = 0.01 + zmax = 0.95 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=11, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7,8], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "ALEPH $h^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: HA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+data.iloc[i,6]**2.)), file=f) + print(' - {label: mult, value: 0.01}', file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + + for i in range(ndata): + factor = 1. + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], 1./factor), file=f) + print('- header: {name: "xp"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# DELPHI - inclusive +def filter_DELPHI_HA(): + nameexp = 'DELPHI_HA_PLUS_MINUS' + infile = 'DELPHI/HEPData-ins473409-v1-Table_16.csv' + ndata = 27 + cme = 91.20 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=13, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "DELPHI $h^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: HA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+data.iloc[i,6]**2.)), file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = 1. + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# DELPHI - uds tagged +def filter_DELPHI_HA_UDS(): + nameexp = 'DELPHI_HA_PLUS_MINUS_UDS' + infile = 'DELPHI/HEPData-ins473409-v1-Table_32.csv' + ndata = 27 + cme = 91.20 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=13, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "DELPHI $h^\\\\pm$ Multiplicity uds-tag"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: HA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [u,d,s]}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+data.iloc[i,6]**2.)), file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = 1. + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# DELPHI - b tagged +def filter_DELPHI_HA_B(): + nameexp = 'DELPHI_HA_PLUS_MINUS_B' + infile = 'DELPHI/HEPData-ins473409-v1-Table_24.csv' + ndata = 27 + cme = 91.20 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=13, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "DELPHI $h^\\\\pm$ Multiplicity b-tag"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: HA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [b]}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+data.iloc[i,6]**2.)), file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = 1. + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# OPAL - inclusive +def filter_OPAL_HA(): + nameexp = 'OPAL_HA_PLUS_MINUS' + infile = 'OPAL/HEPData-ins472637-v1-Table_4.csv' + ndata = 22 + cme = 91.20 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=12, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "OPAL $h^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: HA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+data.iloc[i,6]**2.)), file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = 1 + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], factor), file=f) + +# OPAL - uds tagged +def filter_OPAL_HA_UDS(): + nameexp = 'OPAL_HA_PLUS_MINUS_UDS' + infile = 'OPAL/HEPData-ins472637-v1-Table_1.csv' + ndata = 22 + cme = 91.20 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=12, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "OPAL $h^\\\\pm$ Multiplicity uds-tag"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: HA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [u,d,s]}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+data.iloc[i,6]**2.)), file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = 1 + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], factor), file=f) + +# OPAL - c tagged +def filter_OPAL_HA_C(): + nameexp = 'OPAL_HA_PLUS_MINUS_C' + infile = 'OPAL/HEPData-ins472637-v1-Table_2.csv' + ndata = 22 + cme = 91.20 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=12, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "OPAL $h^\\\\pm$ Multiplicity c-tag"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: HA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [c]}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+data.iloc[i,6]**2.)), file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = 1 + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], factor), file=f) + +# OPAL - b tagged +def filter_OPAL_HA_B(): + nameexp = 'OPAL_HA_PLUS_MINUS_B' + infile = 'OPAL/HEPData-ins472637-v1-Table_3.csv' + ndata = 22 + cme = 91.20 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=12, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "OPAL $h^\\\\pm$ Multiplicity b-tag"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: HA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [b]}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+data.iloc[i,6]**2.)), file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = 1 + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], factor), file=f) + +# SLD - inclusive +def filter_SLD_HA(): + nameexp = 'SLD_HA_PLUS_MINUS' + infile = 'SLD/HEPData-ins630327-v1-Table_1.csv' + ndata = 40 + cme = 91.28 #GeV + zmin = 0.01715 + zmax = 1.0 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=13, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7,8,9], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "SLD $h^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: HA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+data.iloc[i,6]**2.+data.iloc[i,8]**2.)), file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = 1. + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# SLD - uds tag +def filter_SLD_HA_UDS(): + nameexp = 'SLD_HA_PLUS_MINUS_UDS' + infile = 'SLD/HEPData-ins630327-v1-Table_8.csv' + ndata = 40 + cme = 91.28 #GeV + zmin = 0.01715 + zmax = 1.0 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=15, + sep=',', + header=None, + usecols=[0,1,2,3], + skipfooter=94, + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "SLD $h^\\\\pm$ Multiplicity uds-tag"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: HA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [u,d,s]}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (data.iloc[i,2]), file=f) + print(' value: ', data.iloc[i,1], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + + for i in range(ndata): + factor = 1 + print(' - {value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,0], 1./factor), file=f) + +# SLD - c tag +def filter_SLD_HA_C(): + nameexp = 'SLD_HA_PLUS_MINUS_C' + infile = 'SLD/HEPData-ins630327-v1-Table_8.csv' + ndata = 40 + cme = 91.28 #GeV + zmin = 0.01715 + zmax = 1.0 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=62, + sep=',', + header=None, + usecols=[0,1,2,3], + skipfooter=47, + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "SLD $h^\\\\pm$ Multiplicity c-tag"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: HA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [c]}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (data.iloc[i,2]), file=f) + print(' value: ', data.iloc[i,1], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + + for i in range(ndata): + factor = 1 + print(' - {value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,0], 1./factor), file=f) + +# SLD - b tag +def filter_SLD_HA_B(): + nameexp = 'SLD_HA_PLUS_MINUS_B' + infile = 'SLD/HEPData-ins630327-v1-Table_8.csv' + ndata = 40 + cme = 91.28 #GeV + zmin = 0.01715 + zmax = 1.0 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=109, + sep=',', + header=None, + usecols=[0,1,2,3], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "SLD $h^\\\\pm$ Multiplicity b-tag"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: HA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [b]}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (data.iloc[i,2]), file=f) + print(' value: ', data.iloc[i,1], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + + for i in range(ndata): + factor = 1 + print(' - {value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,0], 1./factor), file=f) + + +# Filter data +filter_TASSO14_HA() +filter_TASSO22_HA() +filter_TPC_KA() +filter_TASSO35_HA() +filter_TASSO44_HA() +filter_ALEPH_HA() +filter_DELPHI_HA() +filter_DELPHI_HA_UDS() +filter_DELPHI_HA_B() +filter_OPAL_HA() +filter_SLD_HA() +filter_SLD_HA_UDS() +filter_SLD_HA_C() +filter_SLD_HA_B() diff --git a/data/rawdata/kaon/ALEPH/HEPData-ins382179-v1-Table_2.csv b/data/rawdata/kaon/ALEPH/HEPData-ins382179-v1-Table_2.csv new file mode 100644 index 000000000..ef7a1fe44 --- /dev/null +++ b/data/rawdata/kaon/ALEPH/HEPData-ins382179-v1-Table_2.csv @@ -0,0 +1,41 @@ +#: table_doi: 10.17182/hepdata.48315.v1/t2 +#: name: Table 2 +#: description: No description provided. +#: data_file: Table2.yaml +#: keyword reactions: E+ E- --> HADRONS | E+ E- --> K- X | E+ E- --> K+ X +#: keyword observables: DSIG/DZ +#: keyword phrases: Exclusive | Inclusive | Single Differential Cross Section | E+ E- Scattering | Strange production +#: keyword cmenergies: 0.216 +#: RE,,,E+ E- --> (K+ + K-) X +#: SQRT(S) [GeV],,,0.216 +Z(DEF=P(P=1)/P(P=3)),Z(DEF=P(P=1)/P(P=3)) LOW,Z(DEF=P(P=1)/P(P=3)) HIGH,(1/SIG) D(SIG)/DZ,stat +,stat -,sys +,sys - +0.00574,0.0055,0.006,12.4,1.12,-1.12,0.01,-0.01 +0.00622,0.006,0.0065,13.27,0.91,-0.91,0.01,-0.01 +0.00673,0.0065,0.007,15.33,0.9,-0.9,0.01,-0.01 +0.00722,0.007,0.0075,17.43,0.92,-0.92,0.02,-0.02 +0.00773,0.0075,0.008,18.33,0.88,-0.88,0.02,-0.02 +0.00822,0.008,0.0085,19.62,0.9,-0.9,0.02,-0.02 +0.00871,0.0085,0.009,20.02,0.86,-0.86,0.05,-0.05 +0.00922,0.009,0.0095,21.66,0.88,-0.88,0.12,-0.12 +0.0135,0.013,0.014,25.84,0.66,-0.66,0.5,-0.5 +0.0147,0.014,0.016,27.46,0.47,-0.47,0.68,-0.68 +0.0167,0.016,0.018,27.63,0.53,-0.53,2.2,-2.2 +0.0719,0.07,0.075,10.6,0.3,-0.3,1.28,-1.28 +0.0769,0.075,0.08,9.53,0.26,-0.26,0.98,-0.98 +0.0819,0.08,0.085,9.15,0.23,-0.23,0.83,-0.83 +0.087,0.085,0.09,8.41,0.21,-0.21,0.71,-0.71 +0.0942,0.09,0.1,7.96,0.14,-0.14,0.56,-0.56 +0.104,0.1,0.11,7.26,0.13,-0.13,0.47,-0.47 +0.114,0.11,0.12,6.34,0.11,-0.11,0.37,-0.37 +0.124,0.12,0.13,5.63,0.11,-0.11,0.32,-0.32 +0.134,0.13,0.14,4.94,0.1,-0.1,0.28,-0.28 +0.144,0.14,0.15,4.39,0.09,-0.09,0.24,-0.24 +0.154,0.15,0.16,4.22,0.09,-0.09,0.22,-0.22 +0.169,0.16,0.18,3.63,0.06,-0.06,0.18,-0.18 +0.189,0.18,0.2,3.1,0.05,-0.05,0.15,-0.15 +0.222,0.2,0.25,2.245,0.029,-0.029,0.109,-0.109 +0.272,0.25,0.3,1.538,0.025,-0.025,0.076,-0.076 +0.342,0.3,0.4,0.841,0.013,-0.013,0.043,-0.043 +0.476,0.4,0.6,0.2936,0.0053,-0.0053,0.0146,-0.0146 +0.674,0.6,0.8,0.0596,0.0022,-0.0022,0.0031,-0.0031 + diff --git a/data/rawdata/kaon/BABAR/HEPData-ins1238276-v1-Table_1.csv b/data/rawdata/kaon/BABAR/HEPData-ins1238276-v1-Table_1.csv new file mode 100644 index 000000000..0d8a5f280 --- /dev/null +++ b/data/rawdata/kaon/BABAR/HEPData-ins1238276-v1-Table_1.csv @@ -0,0 +1,156 @@ +#: table_doi: 10.17182/hepdata.62088.v1/t1 +#: name: Table 1 +#: description: Differential cross section for prompt PI+-, K+- and PBAR/P production. + +#: data_file: Table1.yaml +#: keyword reactions: E+ E- --> PI+ X | E+ E- --> PI- X | E+ E- --> K+ X | E+ E- --> K+ X | E+ E- --> PBAR X | E+ E- --> P X +#: keyword observables: DN/DP +#: keyword phrases: Inclusive | Single Differential Distribution | E+ E- Scattering | Strange production +#: keyword cmenergies: 10.54 +#: RE,,,E+ E- --> (PI+ + PI-) X +#: SQRT(S) [GeV],,,10.54 +"P(P=3,RF=CM) [GEV]","P(P=3,RF=CM) [GEV] LOW","P(P=3,RF=CM) [GEV] HIGH","(1/Nevt)*D(N)/DP(P=3,RF=CM)",stat +,stat -,sys +,sys -,"sys,normalization uncertainty +","sys,normalization uncertainty -" +0.225,0.2,0.25,8.01,0.02,-0.02,0.22,-0.22,0.98%,-0.98% +0.275,0.25,0.3,8.25,0.01,-0.01,0.21,-0.21,0.98%,-0.98% +0.32499999999999996,0.3,0.35,8.04,0.01,-0.01,0.17,-0.17,0.98%,-0.98% +0.375,0.35,0.4,7.52,0.01,-0.01,0.14,-0.14,0.98%,-0.98% 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b/data/rawdata/kaon/BELLE/HEPData-ins1216515-v1-Table_1.csv new file mode 100644 index 000000000..b021f835d --- /dev/null +++ b/data/rawdata/kaon/BELLE/HEPData-ins1216515-v1-Table_1.csv @@ -0,0 +1,173 @@ +#: table_doi: 10.17182/hepdata.62276.v1/t1 +#: name: Table 1 +#: description: Measured charged-integrated differential cross sections for charged pion and kaon production as a function of the fractional hadron energy Z (=2*Eh/sqrt(s)). + +#: data_file: Table1.yaml +#: keyword reactions: E+ E- --> PI+ X | E+ E- --> PI- X | E+ E- --> K+ X | E+ E- --> K- X +#: keyword observables: DSIG/DZ +#: keyword phrases: Inclusive | Single Differential Cross Section | E+ E- Scattering | Strange production +#: keyword cmenergies: 10.52 +#: RE,,,E+ E- --> (PI+ + PI-) X +#: SQRT(S) [GeV],,,10.52 +Z,Z LOW,Z HIGH,D(SIG)/DZ [FB],stat +,stat -,sys +,sys -,"sys,normalization uncertainty +","sys,normalization uncertainty -" +0.20500000000000002,0.2,0.21,20377900.0,7000.0,-7000.0,384600.0,-384400.0,1.4%,-1.4% 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Also given are the diffractive vector meson correction to the kaon count, $DVM^{K^{+}}$, and DIS count, $DVM^{DIS}$, as well as the radiative correction factors to the kaon count, $\eta^{K^{+}}$, and DIS count, $\eta^{DIS}$. The correction factors were applied to the raw multiplicity to arrive at the final multiplicity given in the table, $M^{K^{+}}$, as follows:, +,,,,,,,,,,,,,, +$M^{K^{+}}$ = $M_{raw}^{K^{+}}$ * $\frac{\eta^{K^{+}}} {\eta^{DIS}}$ * $\frac{ DVM^{K^{+}} } {DVM^{DIS} }$.,,,,,,,,,,,,,, +#: data_file: data1.yaml,,,,,,,,,,,,,, +#: data_license: ,,,,,,,,,,,,,, +#: keyword reactions: $\mu^{+}$ d--> $\mu^{+}$ $K^{+}$ X,,,,,,,,,,,,,, +#: keyword observables: MULT,,,,,,,,,,,,,, +#: keyword phrases: ,,,,,,,,,,,,,, +#: keyword cmenergies: ,,,,,,,,,,,,,, +#: PLAB [GEV],,,,,,,160,,,,,,, +#: RE,,,,,,,$\mu^{+}$ d-->$\mu^{+}$ $K^{+}$ X,,,,,,, +$x$,$x$ LOW,$x$ HIGH,$y$,$y$ LOW,$y$ HIGH,$ (GeV/c)^2$,$z^{K^{+}}$,$z^{K^{+}}$ LOW,$z^{K^{+}}$ HIGH,$M^{K^{+}}$,stat +,stat -,sys +,sys - +0.0087,0.004,0.01,0.44,0.3,0.5,1.149,0.224,0.2,0.25,0.373,0.0076,-0.0076,0.028,-0.028 +0.0088,0.004,0.01,0.44,0.3,0.5,1.138,0.274,0.25,0.3,0.2892,0.0064,-0.0064,0.0216,-0.0216 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new file mode 100644 index 000000000..d3cb458c1 --- /dev/null +++ b/data/rawdata/kaon/COMPASS/HEPData-ins1483098-v1-Table_2.csv @@ -0,0 +1,323 @@ +#: table_doi: 10.17182/hepdata.77892.v1/t2,,,,,,,,,,,,,, +#: name: Table 2,,,,,,,,,,,,,, +#: description: Multiplicities of negatively charged kaons from semi-inclusive deep-inelastic scattering of muons off an isoscalar target, $M^{K^{-}}$, in bins of $x$, $y$, and $z$. Also given are the diffractive vector meson correction to the kaon count, $DVM^{K^{-}}$, and DIS count, $DVM^{DIS}$, as well as the radiative correction factors to the kaon count, $\eta^{K^{-}}$, and DIS count, $\eta^{DIS}$. The correction factors were applied to the raw multiplicity to arrive at the final multiplicity given in the table, $M^{K^{-}}$, as follows:, +,,,,,,,,,,,,,, +$M^{K^{-}}$ = $M_{raw}^{K^{-}}$ * $\frac{\eta^{K^{-}}} {\eta^{DIS}}$ * $\frac{ DVM^{K^{-}} } {DVM^{DIS} }$.,,,,,,,,,,,,,, +#: data_file: data2.yaml,,,,,,,,,,,,,, +#: data_license: ,,,,,,,,,,,,,, +#: keyword reactions: $\mu^{+}$d-->\mu^{+}$K^{-}$X,,,,,,,,,,,,,, +#: keyword observables: MULT,,,,,,,,,,,,,, +#: keyword phrases: ,,,,,,,,,,,,,, +#: keyword cmenergies: ,,,,,,,,,,,,,, +#: PLAB [GEV],,,,,,,160,,,,,,, +#: RE,,,,,,,$\mu^{+}$d-->$\mu^{+}K^{-}$X,,,,,,, +$x$,$x$ LOW,$x$ HIGH,$y$,$y$ LOW,$y$ HIGH,$ (GeV/c)^2$,$z^{K^{-}}$,$z^{K^{-}}$ LOW,$z^{K^{-}}$ HIGH,$M^{K^{-}}$,stat +,stat -,sys +,sys - +0.0087,0.004,0.01,0.44,0.3,0.5,1.149,0.224,0.2,0.25,0.3352,0.0075,-0.0075,0.0251,-0.0251 +0.0088,0.004,0.01,0.44,0.3,0.5,1.138,0.274,0.25,0.3,0.2592,0.0064,-0.0064,0.0194,-0.0194 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b/data/rawdata/kaon/DELPHI/HEPData-ins473409-v1-Table_13.csv new file mode 100644 index 000000000..075650bb5 --- /dev/null +++ b/data/rawdata/kaon/DELPHI/HEPData-ins473409-v1-Table_13.csv @@ -0,0 +1,37 @@ +#: table_doi: 10.17182/hepdata.49385.v1/t13 +#: name: Table 13 +#: description: Normalised K+- production rates in Z0-->(U-UBAR,D-DBAR,S-SBAR) events. + +#: data_file: Table13.yaml +#: keyword reactions: E+ E- --> K- X | E+ E- --> K+ X | E+ E- --> Z0 +#: keyword observables: DN/DP +#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering | Strange production +#: keyword cmenergies: 91.2 +#: RE,,,E+ E- --> (K+ + K-) X +#: RE(Q=TOT),,,E+ E- --> CHARGED X +#: SQRT(S) [GeV],,,91.2,,,, +P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,(D(N)/DP)/(D(N(Q=TOT))/DP) [PCT],stat +,stat -,sys +,sys - +0.8049999999999999,0.7,0.91,7.34,1.03,-1.03,0.95,-0.95 +1.025,0.91,1.14,8.78,1.18,-1.18,1.13,-1.13 +1.255,1.14,1.37,8.98,1.27,-1.27,1.22,-1.22 +1.485,1.37,1.6,10.27,1.05,-1.05,0.93,-0.93 +1.71,1.6,1.82,10.52,1.61,-1.61,1.48,-1.48 +2.05,1.82,2.28,11.43,2.06,-2.06,1.98,-1.98 +2.51,2.28,2.74,11.72,2.77,-2.77,2.69,-2.69 +2.965,2.74,3.19,11.99,0.86,-0.86,0.76,-0.76 +3.42,3.19,3.65,12.65,1.07,-1.07,1.01,-1.01 +3.875,3.65,4.1,13.57,0.9,-0.9,0.82,-0.82 +4.33,4.1,4.56,14.45,1.09,-1.09,1.0,-1.0 +5.015,4.56,5.47,14.91,1.0,-1.0,0.92,-0.92 +5.925,5.47,6.38,15.59,0.97,-0.97,0.76,-0.76 +6.835,6.38,7.29,16.52,1.86,-1.86,1.53,-1.53 +7.75,7.29,8.21,17.01,2.53,-2.53,2.0,-2.0 +8.665,8.21,9.12,18.86,2.84,-2.84,2.65,-2.65 +10.485,9.12,11.85,20.33,0.75,-0.75,0.68,-0.68 +12.765,11.85,13.68,23.14,1.21,-1.21,1.09,-1.09 +15.959999999999999,13.68,18.24,25.6,1.66,-1.66,1.58,-1.58 +20.52,18.24,22.8,28.87,2.79,-2.79,2.62,-2.62 +25.08,22.8,27.36,30.59,3.82,-3.82,3.34,-3.34 +31.915,27.36,36.47,34.77,6.8,-6.8,5.79,-5.79 +40.735,36.47,45.0,27.88,24.47,-24.47,18.19,-18.19 + diff --git a/data/rawdata/kaon/DELPHI/HEPData-ins473409-v1-Table_5.csv b/data/rawdata/kaon/DELPHI/HEPData-ins473409-v1-Table_5.csv new file mode 100644 index 000000000..b544b5108 --- /dev/null +++ b/data/rawdata/kaon/DELPHI/HEPData-ins473409-v1-Table_5.csv @@ -0,0 +1,37 @@ +#: table_doi: 10.17182/hepdata.49385.v1/t5 +#: name: Table 5 +#: description: Normalised K+- production rates in Z0-->Q-QBAR events. + +#: data_file: Table5.yaml +#: keyword reactions: E+ E- --> K- X | E+ E- --> K+ X | E+ E- --> Z0 +#: keyword observables: DN/DP +#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering | Strange production +#: keyword cmenergies: 91.2 +#: RE,,,E+ E- --> (K+ + K-) X +#: RE(Q=TOT),,,E+ E- --> CHARGED X +#: SQRT(S) [GeV],,,91.2,,,, +P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,(D(N)/DP)/(D(N(Q=TOT))/DP) [PCT],stat +,stat -,sys +,sys - +0.8049999999999999,0.7,0.91,7.17,1.02,-1.02,0.95,-0.95 +1.025,0.91,1.14,8.58,1.18,-1.18,1.14,-1.14 +1.255,1.14,1.37,8.84,1.28,-1.28,1.24,-1.24 +1.485,1.37,1.6,10.21,0.99,-0.99,0.91,-0.91 +1.71,1.6,1.82,10.63,1.58,-1.58,1.49,-1.49 +2.05,1.82,2.28,11.84,2.06,-2.06,2.01,-2.01 +2.51,2.28,2.74,12.55,2.75,-2.75,2.69,-2.69 +2.965,2.74,3.19,13.25,0.89,-0.89,0.8,-0.8 +3.42,3.19,3.65,14.32,1.05,-1.05,0.99,-0.99 +3.875,3.65,4.1,15.59,0.98,-0.98,0.91,-0.91 +4.33,4.1,4.56,16.72,1.17,-1.17,1.09,-1.09 +5.015,4.56,5.47,17.39,1.15,-1.15,1.09,-1.09 +5.925,5.47,6.38,18.23,1.02,-1.02,0.84,-0.84 +6.835,6.38,7.29,19.25,1.94,-1.94,1.67,-1.67 +7.75,7.29,8.21,19.55,2.78,-2.78,2.37,-2.37 +8.665,8.21,9.12,21.47,3.04,-3.04,2.89,-2.89 +10.485,9.12,11.85,22.73,0.76,-0.76,0.69,-0.69 +12.765,11.85,13.68,25.17,1.04,-1.04,0.93,-0.93 +15.959999999999999,13.68,18.24,26.77,1.56,-1.56,1.49,-1.49 +20.52,18.24,22.8,29.04,2.75,-2.75,2.63,-2.63 +25.08,22.8,27.36,29.97,3.03,-3.03,2.62,-2.62 +31.915,27.36,36.47,33.86,6.91,-6.91,6.24,-6.24 +40.735,36.47,45.0,27.78,24.12,-24.12,20.12,-20.12 + diff --git a/data/rawdata/kaon/DELPHI/HEPData-ins473409-v1-Table_9.csv b/data/rawdata/kaon/DELPHI/HEPData-ins473409-v1-Table_9.csv new file mode 100644 index 000000000..541244c0b --- /dev/null +++ b/data/rawdata/kaon/DELPHI/HEPData-ins473409-v1-Table_9.csv @@ -0,0 +1,37 @@ +#: table_doi: 10.17182/hepdata.49385.v1/t9 +#: name: Table 9 +#: description: Normalised K+- production rates in Z0-->B-BBAR events. + +#: data_file: Table9.yaml +#: keyword reactions: E+ E- --> K- X | E+ E- --> K+ X | E+ E- --> Z0 +#: keyword observables: DN/DP +#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering | Strange production +#: keyword cmenergies: 91.2 +#: RE,,,E+ E- --> (K+ + K-) X +#: RE(Q=TOT),,,E+ E- --> CHARGED X +#: SQRT(S) [GeV],,,91.2,,,, +P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,(D(N)/DP)/(D(N(Q=TOT))/DP) [PCT],stat +,stat -,sys +,sys - +0.8049999999999999,0.7,0.91,6.7,1.14,-1.14,0.81,-0.81 +1.025,0.91,1.14,8.05,1.23,-1.23,1.09,-1.09 +1.255,1.14,1.37,8.51,1.45,-1.45,1.3,-1.3 +1.485,1.37,1.6,10.11,1.21,-1.21,0.85,-0.85 +1.71,1.6,1.82,11.03,2.08,-2.08,1.71,-1.71 +2.05,1.82,2.28,12.98,2.32,-2.32,2.0,-2.0 +2.51,2.28,2.74,14.59,3.2,-3.2,2.85,-2.85 +2.965,2.74,3.19,16.08,1.38,-1.38,0.91,-0.91 +3.42,3.19,3.65,17.76,1.45,-1.45,1.08,-1.08 +3.875,3.65,4.1,19.43,1.74,-1.74,1.4,-1.4 +4.33,4.1,4.56,20.67,1.66,-1.66,1.15,-1.15 +5.015,4.56,5.47,21.23,1.47,-1.47,1.03,-1.03 +5.925,5.47,6.38,21.73,2.03,-2.03,1.34,-1.34 +6.835,6.38,7.29,22.19,3.45,-3.45,1.88,-1.88 +7.75,7.29,8.21,21.76,5.01,-5.01,3.04,-3.04 +8.665,8.21,9.12,23.09,3.98,-3.98,3.12,-3.12 +10.485,9.12,11.85,22.77,1.0,-1.0,0.69,-0.69 +12.765,11.85,13.68,22.24,1.32,-1.32,0.86,-0.86 +15.959999999999999,13.68,18.24,19.85,1.36,-1.36,1.03,-1.03 +20.52,18.24,22.8,15.47,1.99,-1.99,1.59,-1.59 +25.08,22.8,27.36,11.5,1.97,-1.97,0.72,-0.72 +31.915,27.36,36.47,9.38,2.93,-2.93,0.83,-0.83 +40.735,36.47,45.0,5.86,9.04,-9.04,6.71,-6.71 + diff --git a/data/rawdata/kaon/OPAL/HEPData-ins372772-v1-Table_2.csv b/data/rawdata/kaon/OPAL/HEPData-ins372772-v1-Table_2.csv new file mode 100644 index 000000000..3c9d550ba --- /dev/null +++ b/data/rawdata/kaon/OPAL/HEPData-ins372772-v1-Table_2.csv @@ -0,0 +1,46 @@ +#: table_doi: 10.17182/hepdata.48259.v1/t2 +#: name: Table 2 +#: description: Normalised momentum distribution for charged kaon production. + +#: data_file: Table2.yaml +#: keyword reactions: E+ E- --> K- X | E+ E- --> K+ X | E+ E- --> Z0 +#: keyword observables: DSIG/DP +#: keyword phrases: Inclusive | Exclusive | Single Differential Cross Section | E+ E- Scattering | Strange production +#: keyword cmenergies: 91.2 +#: RE,,,E+ E- --> (K+ + K-) X +#: SQRT(S) [GeV],,,91.2,,,, +P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,(1/SIG(C=HAD))*D(SIG)/DP [GEV**-1],stat +,stat -,sys +,sys - +0.276,0.271,0.281,0.363,0.03,-0.03,0.028,-0.028 +0.287,0.281,0.292,0.373,0.027,-0.027,0.028,-0.028 +0.298,0.292,0.304,0.367,0.024,-0.024,0.025,-0.025 +0.311,0.304,0.317,0.374,0.022,-0.022,0.023,-0.023 +0.324,0.317,0.331,0.375,0.021,-0.021,0.019,-0.019 +0.339,0.331,0.346,0.41,0.02,-0.02,0.019,-0.019 +0.354,0.346,0.362,0.431,0.02,-0.02,0.019,-0.019 +0.371,0.362,0.379,0.418,0.018,-0.018,0.02,-0.02 +0.388,0.379,0.397,0.456,0.018,-0.018,0.016,-0.016 +0.406,0.397,0.416,0.499,0.018,-0.018,0.017,-0.017 +0.426,0.416,0.436,0.514,0.017,-0.017,0.016,-0.016 +0.447,0.436,0.457,0.486,0.011,-0.011,0.011,-0.011 +0.469,0.457,0.48,0.522,0.011,-0.011,0.011,-0.011 +0.492,0.48,0.504,0.541,0.011,-0.011,0.012,-0.012 +0.516,0.504,0.528,0.539,0.011,-0.011,0.018,-0.018 +0.542,0.528,0.555,0.557,0.011,-0.011,0.02,-0.02 +0.569,0.555,0.583,0.587,0.011,-0.011,0.014,-0.014 +0.597,0.583,0.612,0.59,0.01,-0.01,0.048,-0.048 +0.627,0.612,0.643,0.586,0.01,-0.01,0.016,-0.016 +0.659,0.643,0.675,0.591,0.01,-0.01,0.044,-0.044 +0.692,0.675,0.709,0.614,0.009,-0.009,0.024,-0.024 +0.727,0.709,0.745,0.597,0.009,-0.009,0.025,-0.025 +0.764,0.745,0.783,0.613,0.009,-0.009,0.031,-0.031 +4.48,4.05,4.95,0.181,0.004,-0.004,0.015,-0.015 +5.46,4.95,6.05,0.138,0.003,-0.003,0.009,-0.009 +6.67,6.05,7.38,0.103,0.001,-0.001,0.006,-0.006 +8.15,7.38,9.02,0.0767,0.001,-0.001,0.0042,-0.0042 +9.94,9.02,11.01,0.0536,0.0006,-0.0006,0.0029,-0.0029 +12.13,11.01,13.45,0.0349,0.0005,-0.0005,0.0018,-0.0018 +14.81,13.45,16.43,0.022,0.0003,-0.0003,0.0012,-0.0012 +18.07,16.43,20.06,0.0127,0.0003,-0.0003,0.0007,-0.0007 +23.79,20.06,29.93,0.0042,0.0001,-0.0001,0.0003,-0.0003 +33.94,29.93,45.6,0.0004,0.0001,-0.0001,0.0001,-0.0001 + diff --git a/data/rawdata/kaon/SLD/HEPData-ins630327-v1-Table_3.csv b/data/rawdata/kaon/SLD/HEPData-ins630327-v1-Table_3.csv new file mode 100644 index 000000000..31cd15276 --- /dev/null +++ b/data/rawdata/kaon/SLD/HEPData-ins630327-v1-Table_3.csv @@ -0,0 +1,93 @@ +#: table_doi: 10.17182/hepdata.22177.v1/t3 +#: name: Table 3 +#: description: The charged kaon fraction and differential production rate per hadronic Z0 decay. + +#: data_file: Table3.yaml +#: keyword reactions: E+ E- --> K- X | E+ E- --> K+ X | E+ E- --> Z0 +#: keyword observables: DN/DX | N +#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering | Strange production +#: keyword cmenergies: 91.28 +#: RE(Q=K+-),,,E+ E- --> (K+ + K-) X +#: RE(Q=Z0),,,E+ E- --> Z0 < HADRONS > +#: SQRT(S) [GeV],,,91.28,,,, +X(DEF=2*P(P=3)/SQRT(S)),X(DEF=2*P(P=3)/SQRT(S)) LOW,X(DEF=2*P(P=3)/SQRT(S)) HIGH,N(Q=K+-)/N(Q=Z0),stat +,stat -,sys +,sys - +0.0153,0.014,0.016,0.072,0.002,-0.002,0.023,-0.023 +0.0191,0.016,0.022,0.065,0.001,-0.001,0.005,-0.005 +0.0246,0.022,0.027,0.082,0.001,-0.001,0.003,-0.003 +0.0301,0.027,0.033,0.091,0.001,-0.001,0.002,-0.002 +0.0356,0.033,0.038,0.101,0.001,-0.001,0.002,-0.002 +0.0411,0.038,0.044,0.114,0.001,-0.001,0.003,-0.003 +0.0465,0.044,0.049,0.123,0.001,-0.001,0.004,-0.004 +0.0521,0.049,0.055,0.131,0.002,-0.002,0.004,-0.004 +0.0576,0.055,0.06,0.139,0.002,-0.002,0.005,-0.005 +0.063,0.06,0.066,0.147,0.002,-0.002,0.006,-0.006 +0.0685,0.066,0.071,0.158,0.002,-0.002,0.008,-0.008 +0.074,0.071,0.077,0.166,0.002,-0.002,0.009,-0.009 +0.0795,0.077,0.082,0.166,0.003,-0.003,0.01,-0.01 +0.08499999999999999,0.082,0.088,0.172,0.003,-0.003,0.01,-0.01 +0.0931,0.088,0.099,0.181,0.002,-0.002,0.011,-0.011 +0.104,0.099,0.11,0.196,0.003,-0.003,0.011,-0.011 +0.115,0.11,0.121,0.216,0.004,-0.004,0.012,-0.012 +0.131,0.121,0.143,0.216,0.003,-0.003,0.014,-0.014 +0.153,0.143,0.164,0.199,0.005,-0.005,0.019,-0.019 +0.175,0.164,0.186,0.23,0.009,-0.009,0.035,-0.035 +0.197,0.186,0.208,0.232,0.004,-0.004,0.035,-0.035 +0.2189,0.208,0.23,0.264,0.004,-0.004,0.017,-0.017 +0.241,0.23,0.252,0.256,0.004,-0.004,0.008,-0.008 +0.2629,0.252,0.274,0.267,0.004,-0.004,0.006,-0.006 +0.2849,0.274,0.296,0.283,0.005,-0.005,0.004,-0.004 +0.3068,0.296,0.318,0.29,0.005,-0.005,0.004,-0.004 +0.3338,0.318,0.351,0.298,0.005,-0.005,0.004,-0.004 +0.3666,0.351,0.384,0.309,0.006,-0.006,0.006,-0.006 +0.3997,0.384,0.417,0.343,0.007,-0.007,0.008,-0.008 +0.4325,0.417,0.45,0.345,0.008,-0.008,0.009,-0.009 +0.4651,0.45,0.482,0.368,0.01,-0.01,0.011,-0.011 +0.5035,0.482,0.526,0.384,0.011,-0.011,0.013,-0.013 +0.547,0.526,0.57,0.411,0.016,-0.016,0.015,-0.015 +0.6083,0.57,0.658,0.439,0.017,-0.017,0.017,-0.017 +0.7047,0.658,0.768,0.431,0.032,-0.032,0.018,-0.018 +0.8383,0.768,1.0,0.328,0.09,-0.09,0.042,-0.042 +0.507,0.014,1.0,-,0,0,0,0 + +#: RE(Q=K+-),,,E+ E- --> (K+ + K-) X +#: RE(Q=Z0),,,E+ E- --> Z0 < HADRONS > +#: SQRT(S) [GeV],,,91.28,,,, +X(DEF=2*P(P=3)/SQRT(S)),X(DEF=2*P(P=3)/SQRT(S)) LOW,X(DEF=2*P(P=3)/SQRT(S)) HIGH,(1/N(Q=Z0))*D(N(Q=K+-))/DX,stat +,stat -,sys +,sys - +0.0153,0.014,0.016,28.59,0.64,-0.64,9.26,-9.26 +0.0191,0.016,0.022,21.57,0.2,-0.2,1.57,-1.57 +0.0246,0.022,0.027,21.62,0.19,-0.19,0.8,-0.8 +0.0301,0.027,0.033,19.65,0.18,-0.18,0.53,-0.53 +0.0356,0.033,0.038,18.02,0.16,-0.16,0.44,-0.44 +0.0411,0.038,0.044,17.27,0.17,-0.17,0.43,-0.43 +0.0465,0.044,0.049,15.78,0.17,-0.17,0.47,-0.47 +0.0521,0.049,0.055,14.664,0.194,-0.194,0.442,-0.442 +0.0576,0.055,0.06,13.535,0.189,-0.189,0.503,-0.503 +0.063,0.06,0.066,12.599,0.176,-0.176,0.558,-0.558 +0.0685,0.066,0.071,12.036,0.165,-0.165,0.635,-0.635 +0.074,0.071,0.077,11.349,0.162,-0.162,0.622,-0.622 +0.0795,0.077,0.082,10.207,0.164,-0.164,0.603,-0.603 +0.08499999999999999,0.082,0.088,9.571,0.16,-0.16,0.566,-0.566 +0.0931,0.088,0.099,8.671,0.113,-0.113,0.505,-0.505 +0.104,0.099,0.11,7.784,0.114,-0.114,0.44,-0.44 +0.115,0.11,0.121,7.237,0.12,-0.12,0.395,-0.395 +0.131,0.121,0.143,5.746,0.089,-0.089,0.369,-0.369 +0.153,0.143,0.164,3.959,0.102,-0.102,0.381,-0.381 +0.175,0.164,0.186,3.473,0.134,-0.134,0.532,-0.532 +0.197,0.186,0.208,2.739,0.047,-0.047,0.419,-0.419 +0.2189,0.208,0.23,2.452,0.037,-0.037,0.163,-0.163 +0.241,0.23,0.252,1.903,0.03,-0.03,0.063,-0.063 +0.2629,0.252,0.274,1.574,0.027,-0.027,0.036,-0.036 +0.2849,0.274,0.296,1.36,0.024,-0.024,0.026,-0.026 +0.3068,0.296,0.318,1.118,0.022,-0.022,0.02,-0.02 +0.3338,0.318,0.351,0.89,0.016,-0.016,0.017,-0.017 +0.3666,0.351,0.384,0.683,0.014,-0.014,0.016,-0.016 +0.3997,0.384,0.417,0.567,0.013,-0.013,0.015,-0.015 +0.4325,0.417,0.45,0.433,0.012,-0.012,0.014,-0.014 +0.4651,0.45,0.482,0.351,0.011,-0.011,0.012,-0.012 +0.5035,0.482,0.526,0.264,0.008,-0.008,0.01,-0.01 +0.547,0.526,0.57,0.188,0.008,-0.008,0.008,-0.008 +0.6083,0.57,0.658,0.122,0.005,-0.005,0.006,-0.006 +0.7047,0.658,0.768,0.0485,0.0037,-0.0037,0.0027,-0.0027 +0.8383,0.768,1.0,0.0078,0.0022,-0.0022,0.0011,-0.0011 +0.507,0.014,1.0,2.074,0.006,-0.006,0.066,-0.066 + diff --git a/data/rawdata/kaon/SLD/HEPData-ins630327-v1-Table_6.csv b/data/rawdata/kaon/SLD/HEPData-ins630327-v1-Table_6.csv new file mode 100644 index 000000000..d087aae31 --- /dev/null +++ b/data/rawdata/kaon/SLD/HEPData-ins630327-v1-Table_6.csv @@ -0,0 +1,141 @@ +#: table_doi: 10.17182/hepdata.22177.v1/t6 +#: name: Table 6 +#: description: Differential production rates of charged kaons per Z0 decay into light (u,d,s) and c and b quarks. The errors are combined statistical and systematic. + +#: data_file: Table6.yaml +#: keyword reactions: E+ E- --> K- X | E+ E- --> K+ X | E+ E- --> Z0 +#: keyword observables: DN/DX +#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering | Strange production +#: keyword cmenergies: 91.28 +#: RE(Q=K+-),E+ E- --> (K+ + K-) X +#: RE(Q=ZB),E+ E- --> Z0 < BQUARK BQUARKBAR > +#: RE(Q=ZC),E+ E- --> Z0 < CQUARK CQUARKBAR > +#: RE(Q=ZL),E+ E- --> Z0 < LQUARK LQUARKBAR > +#: SQRT(S) [GeV],91.28,, +X(DEF=2*P(P=3)/SQRT(S)),(1/N(Q=ZL))*D(N(Q=K+-))/DX,error +,error - +0.0153,27.05,1.27,-1.27 +0.0191,20.0,0.42,-0.42 +0.0246,19.74,0.4,-0.4 +0.0301,17.52,0.37,-0.37 +0.0356,16.08,0.37,-0.37 +0.0411,15.04,0.34,-0.34 +0.0465,13.54,0.34,-0.34 +0.0521,11.87,0.34,-0.34 +0.0576,11.44,0.33,-0.33 +0.063,10.64,0.3,-0.3 +0.0685,10.24,0.29,-0.29 +0.074,9.67,0.29,-0.29 +0.0795,8.13,0.27,-0.27 +0.085,7.98,0.28,-0.28 +0.0931,7.0,0.19,-0.19 +0.104,6.36,0.19,-0.19 +0.115,5.85,0.2,-0.2 +0.131,4.89,0.15,-0.15 +0.153,3.41,0.17,-0.17 +0.175,2.84,0.22,-0.22 +0.197,2.564,0.082,-0.082 +0.2189,2.401,0.067,-0.067 +0.241,1.973,0.054,-0.054 +0.2629,1.643,0.048,-0.048 +0.2849,1.481,0.044,-0.044 +0.3068,1.211,0.039,-0.039 +0.3338,1.001,0.029,-0.029 +0.3666,0.746,0.025,-0.025 +0.3997,0.666,0.023,-0.023 +0.4325,0.559,0.022,-0.022 +0.4651,0.426,0.02,-0.02 +0.5035,0.363,0.016,-0.016 +0.547,0.261,0.015,-0.015 +0.6083,0.183,0.01,-0.01 +0.7047,0.079,0.007,-0.007 +0.8383,0.008,0.004,-0.004 +-,1.869,0.062,-0.062 + +#: RE(Q=K+-),E+ E- --> (K+ + K-) X +#: RE(Q=ZB),E+ E- --> Z0 < BQUARK BQUARKBAR > +#: RE(Q=ZC),E+ E- --> Z0 < CQUARK CQUARKBAR > +#: RE(Q=ZL),E+ E- --> Z0 < LQUARK LQUARKBAR > +#: SQRT(S) [GeV],91.28,, +X(DEF=2*P(P=3)/SQRT(S)),(1/N(Q=ZC))*D(N(Q=K+-))/DX,error +,error - +0.0153,30.92,3.86,-3.86 +0.0191,22.43,1.37,-1.37 +0.0246,22.04,1.27,-1.27 +0.0301,20.82,1.17,-1.17 +0.0356,16.79,1.15,-1.15 +0.0411,16.68,1.15,-1.15 +0.0465,16.46,1.06,-1.06 +0.0521,15.81,1.08,-1.08 +0.0576,12.62,0.99,-0.99 +0.063,12.24,0.92,-0.92 +0.0685,11.42,0.87,-0.87 +0.074,10.95,0.85,-0.85 +0.0795,10.88,0.84,-0.84 +0.085,9.62,0.81,-0.81 +0.0931,9.84,0.59,-0.59 +0.104,8.08,0.58,-0.58 +0.115,8.98,0.63,-0.63 +0.131,6.59,0.45,-0.45 +0.153,5.5,0.51,-0.51 +0.175,5.12,0.68,-0.68 +0.197,3.85,0.245,-0.245 +0.2189,3.087,0.19,-0.19 +0.241,2.074,0.145,-0.145 +0.2629,1.96,0.132,-0.132 +0.2849,1.681,0.119,-0.119 +0.3068,1.368,0.104,-0.104 +0.3338,1.043,0.076,-0.076 +0.3666,0.874,0.068,-0.068 +0.3997,0.6,0.058,-0.058 +0.4325,0.408,0.05,-0.05 +0.4651,0.408,0.05,-0.05 +0.5035,0.243,0.037,-0.037 +0.547,0.173,0.034,-0.034 +0.6083,0.064,0.02,-0.02 +0.7047,0.009,0.011,-0.011 +0.8383,0.008,0.008,-0.008 +-,2.273,0.093,-0.093 + +#: RE(Q=K+-),E+ E- --> (K+ + K-) X +#: RE(Q=ZB),E+ E- --> Z0 < BQUARK BQUARKBAR > +#: RE(Q=ZC),E+ E- --> Z0 < CQUARK CQUARKBAR > +#: RE(Q=ZL),E+ E- --> Z0 < LQUARK LQUARKBAR > +#: SQRT(S) [GeV],91.28,, +X(DEF=2*P(P=3)/SQRT(S)),(1/N(Q=ZB))*D(N(Q=K+-))/DX,error +,error - +0.0153,30.21,1.99,-1.99 +0.0191,23.06,0.62,-0.62 +0.0246,22.89,0.6,-0.6 +0.0301,21.64,0.55,-0.55 +0.0356,21.36,0.53,-0.53 +0.0411,21.36,0.56,-0.56 +0.0465,19.9,0.57,-0.57 +0.0521,18.91,0.6,-0.6 +0.0576,18.46,0.58,-0.58 +0.063,17.43,0.54,-0.54 +0.0685,16.92,0.53,-0.53 +0.074,15.62,0.52,-0.52 +0.0795,15.11,0.52,-0.52 +0.085,13.18,0.5,-0.5 +0.0931,12.43,0.36,-0.36 +0.104,11.56,0.37,-0.37 +0.115,9.96,0.38,-0.38 +0.131,7.17,0.27,-0.27 +0.153,4.58,0.29,-0.29 +0.175,4.2,0.36,-0.36 +0.197,2.541,0.126,-0.126 +0.2189,2.009,0.096,-0.096 +0.241,1.627,0.078,-0.078 +0.2629,1.116,0.062,-0.062 +0.2849,0.83,0.053,-0.053 +0.3068,0.64,0.045,-0.045 +0.3338,0.452,0.032,-0.032 +0.3666,0.337,0.028,-0.028 +0.3997,0.245,0.024,-0.024 +0.4325,0.149,0.02,-0.02 +0.4651,0.108,0.018,-0.018 +0.5035,0.057,0.012,-0.012 +0.547,0.061,0.013,-0.013 +0.6083,0.012,0.005,-0.005 +0.7047,0.002,0.003,-0.003 +0.8383,-0.001,0.001,-0.001 +-,2.377,0.08,-0.08 + diff --git a/data/rawdata/kaon/TASSO12/HEPData-ins153656-v1-Table_3.csv b/data/rawdata/kaon/TASSO12/HEPData-ins153656-v1-Table_3.csv new file mode 100644 index 000000000..2db1b1832 --- /dev/null +++ b/data/rawdata/kaon/TASSO12/HEPData-ins153656-v1-Table_3.csv @@ -0,0 +1,29 @@ +#: table_doi: 10.17182/hepdata.27192.v1/t3 +#: name: Table 3 +#: description: No description provided. +#: data_file: Table3.yaml +#: keyword reactions: E+ E- --> K- X | E+ E- --> K+ X +#: keyword observables: DSIG/DP | DSIG/DX +#: keyword phrases: Inclusive | Single Differential Cross Section | E+ E- Scattering | Strange production +#: keyword cmenergies: 12.0 +#: RE,E+ E- --> (K+ + K-) X +#: SQRT(S) [GeV],12.0,,,, +P(P=3) [GEV],D(SIG)/DP(P=3) [NB/GEV],error +,error -,"sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY +","sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY -" +0.45,2.2,0.81,-0.81,20.0%,-20.0% +0.55,3.9,1.3,-1.3,20.0%,-20.0% +0.8,3.8,1.7,-1.7,20.0%,-20.0% + +#: RE,E+ E- --> (K+ + K-) X +#: SQRT(S) [GeV],12.0,,,, +P(P=3) [GEV],(S/BETA)*D(SIG)/DX [MUB/GEV**2],error +,error -,"sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY +","sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY -" +0.45,4.2,1.6,-1.6,20.0%,-20.0% +0.55,6.2,2.1,-2.1,20.0%,-20.0% +0.8,4.56,2.0,-2.0,20.0%,-20.0% + +#: RE,E+ E- --> (K+ + K-) X +#: SQRT(S) [GeV],12.0,,,, +P(P=3) [GEV],(E(P=3)/(4*PI*P(P=3)**2))*D(SIG)/DP(P=3),error +,error -,"sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY +","sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY -" +0.45,0.58,0.21,-0.21,20.0%,-20.0% +0.55,0.76,0.25,-0.25,20.0%,-20.0% +0.8,0.45,0.2,-0.2,20.0%,-20.0% + diff --git a/data/rawdata/kaon/TASSO14/HEPData-ins181470-v1-Table_2.csv b/data/rawdata/kaon/TASSO14/HEPData-ins181470-v1-Table_2.csv new file mode 100644 index 000000000..8ed580f39 --- /dev/null +++ b/data/rawdata/kaon/TASSO14/HEPData-ins181470-v1-Table_2.csv @@ -0,0 +1,21 @@ +#: table_doi: 10.17182/hepdata.2143.v1/t2 +#: name: Table 2 +#: description: No description provided. +#: data_file: Table2.yaml +#: keyword reactions: E+ E- --> K- X | E+ E- --> K+ X +#: keyword observables: DSIG/DP +#: keyword phrases: Inclusive | Single Differential Cross Section | E+ E- Scattering | Strange production +#: keyword cmenergies: 14.0 +#: RE,,,E+ E- --> (K+ + K-) X +#: SQRT(S) [GeV],,,14.0,, +P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,D(SIG)/D(P) [NB/GEV],error +,error - +0.35,0.3,0.4,1.04,0.18,-0.18 +0.45,0.4,0.5,1.61,0.19,-0.19 +0.55,0.5,0.6,1.61,0.18,-0.18 +0.6499999999999999,0.6,0.7,1.87,0.27,-0.27 +0.75,0.7,0.8,1.05,0.2,-0.2 +0.9,0.8,1.0,1.42,0.3,-0.3 +1.3,1.0,1.6,0.8,0.29,-0.29 +1.8,1.6,2.0,0.84,0.18,-0.18 +3.8,3.0,4.6,0.06,0.03,-0.03 + diff --git a/data/rawdata/kaon/TASSO22/HEPData-ins181470-v1-Table_5.csv b/data/rawdata/kaon/TASSO22/HEPData-ins181470-v1-Table_5.csv new file mode 100644 index 000000000..6960daf27 --- /dev/null +++ b/data/rawdata/kaon/TASSO22/HEPData-ins181470-v1-Table_5.csv @@ -0,0 +1,22 @@ +#: table_doi: 10.17182/hepdata.2143.v1/t5 +#: name: Table 5 +#: description: No description provided. +#: data_file: Table5.yaml +#: keyword reactions: E+ E- --> K- X | E+ E- --> K+ X +#: keyword observables: DSIG/DP +#: keyword phrases: Inclusive | Single Differential Cross Section | E+ E- Scattering | Strange production +#: keyword cmenergies: 22.0 +#: RE,,,E+ E- --> (K+ + K-) X +#: SQRT(S) [GeV],,,22.0,, +P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,D(SIG)/D(P) [NB/GEV],error +,error - +0.35,0.3,0.4,0.38,0.08,-0.08 +0.45,0.4,0.5,0.54,0.09,-0.09 +0.55,0.5,0.6,0.64,0.1,-0.1 +0.6499999999999999,0.6,0.7,0.72,0.1,-0.1 +0.75,0.7,0.8,0.82,0.11,-0.11 +0.9,0.8,1.0,0.59,0.12,-0.12 +1.3,1.0,1.6,0.39,0.15,-0.15 +1.8,1.6,2.0,0.22,0.09,-0.09 +3.4,3.0,3.8,0.092,0.03,-0.03 +4.199999999999999,3.8,4.6,0.045,0.017,-0.017 + diff --git a/data/rawdata/kaon/TASSO30/HEPData-ins153656-v1-Table_6.csv b/data/rawdata/kaon/TASSO30/HEPData-ins153656-v1-Table_6.csv new file mode 100644 index 000000000..a3bcd2930 --- /dev/null +++ b/data/rawdata/kaon/TASSO30/HEPData-ins153656-v1-Table_6.csv @@ -0,0 +1,35 @@ +#: table_doi: 10.17182/hepdata.27192.v1/t6 +#: name: Table 6 +#: description: No description provided. +#: data_file: Table6.yaml +#: keyword reactions: E+ E- --> K- X | E+ E- --> K+ X +#: keyword observables: DSIG/DP | DSIG/DX +#: keyword phrases: Inclusive | Single Differential Cross Section | E+ E- Scattering | Strange production +#: keyword cmenergies: 30.0 +#: RE,E+ E- --> (K+ + K-) X +#: SQRT(S) [GeV],30.0,,,, +P(P=3) [GEV],D(SIG)/DP(P=3) [NB/GEV],error +,error -,"sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY +","sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY -" +0.45,0.402,0.151,-0.151,20.0%,-20.0% +0.55,0.463,0.243,-0.243,20.0%,-20.0% +0.6,0.92,0.4,-0.4,20.0%,-20.0% +0.8,0.42,0.2,-0.2,20.0%,-20.0% +1.0,0.24,0.14,-0.14,20.0%,-20.0% + +#: RE,E+ E- --> (K+ + K-) X +#: SQRT(S) [GeV],30.0,,,, +P(P=3) [GEV],(S/BETA)*D(SIG)/DX [MUB/GEV**2],error +,error -,"sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY +","sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY -" +0.45,12.3,4.6,-4.6,20.0%,-20.0% +0.55,11.6,6.1,-6.1,20.0%,-20.0% +0.6,21.4,9.7,-9.7,20.0%,-20.0% +0.8,8.0,3.8,-3.8,20.0%,-20.0% +1.0,4.1,2.4,-2.4,20.0%,-20.0% + +#: RE,E+ E- --> (K+ + K-) X +#: SQRT(S) [GeV],30.0,,,, +P(P=3) [GEV],(E(P=3)/(4*PI*P(P=3)**2))*D(SIG)/DP(P=3),error +,error -,"sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY +","sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY -" +0.45,0.106,0.04,-0.04,20.0%,-20.0% +0.55,0.09,0.047,-0.047,20.0%,-20.0% +0.6,0.159,0.069,-0.069,20.0%,-20.0% +0.8,0.049,0.023,-0.023,20.0%,-20.0% +1.0,0.021,0.012,-0.012,20.0%,-20.0% + diff --git a/data/rawdata/kaon/TASSO34/HEPData-ins267755-v1-Table_8.csv b/data/rawdata/kaon/TASSO34/HEPData-ins267755-v1-Table_8.csv new file mode 100644 index 000000000..146697f1f --- /dev/null +++ b/data/rawdata/kaon/TASSO34/HEPData-ins267755-v1-Table_8.csv @@ -0,0 +1,23 @@ +#: table_doi: 10.17182/hepdata.1500.v1/t8 +#: name: Table 8 +#: description: No description provided. +#: data_file: Table8.yaml +#: keyword reactions: E+ E- --> K- X | E+ E- --> K+ X +#: keyword observables: DSIG/DX +#: keyword phrases: Inclusive | Single Differential Cross Section | E+ E- Scattering | Strange production +#: keyword cmenergies: 34.0 +#: RE,,,E+ E- --> (K+ + K-) X +#: SQRT(S) [GeV],,,34.0,,,, +X(DEF=P(P=3)/P(P=1)),X(DEF=P(P=3)/P(P=1)) LOW,X(DEF=P(P=3)/P(P=1)) HIGH,(D(SIG)/D(X))/SIG(NAME=TOTAL),error +,error -,"sys,Overall normalization error +","sys,Overall normalization error -" +0.02,0.0171,0.0229,7.5,0.5,-0.5,6.0%,-6.0% +0.0257,0.0229,0.0286,10.0,0.9,-0.9,6.0%,-6.0% +0.0314,0.0286,0.0343,16.1,1.2,-1.2,6.0%,-6.0% +0.0371,0.0343,0.04,14.9,1.7,-1.7,6.0%,-6.0% +0.0429,0.04,0.0457,13.3,3.0,-3.0,6.0%,-6.0% +0.0514,0.0457,0.0571,12.1,2.8,-2.8,6.0%,-6.0% +0.0726,0.0571,0.0914,10.5,2.3,-2.3,6.0%,-6.0% +0.102,0.0914,0.114,6.3,2.8,-2.8,6.0%,-6.0% +0.191,0.171,0.217,3.57,0.61,-0.61,6.0%,-6.0% +0.271,0.217,0.343,1.75,0.28,-0.28,6.0%,-6.0% +0.73,0.571,0.971,0.05,0.02,-0.02,6.0%,-6.0% + diff --git a/data/rawdata/kaon/TASSO44/HEPData-ins267755-v1-Table_11.csv b/data/rawdata/kaon/TASSO44/HEPData-ins267755-v1-Table_11.csv new file mode 100644 index 000000000..147088244 --- /dev/null +++ b/data/rawdata/kaon/TASSO44/HEPData-ins267755-v1-Table_11.csv @@ -0,0 +1,16 @@ +#: table_doi: 10.17182/hepdata.1500.v1/t11 +#: name: Table 11 +#: description: No description provided. +#: data_file: Table11.yaml +#: keyword reactions: E+ E- --> K- X | E+ E- --> K+ X +#: keyword observables: DSIG/DX +#: keyword phrases: Inclusive | Single Differential Cross Section | E+ E- Scattering | Strange production +#: keyword cmenergies: 44.0 +#: RE,,,E+ E- --> (K+ + K-) X +#: SQRT(S) [GeV],,,44.0,,,, +X(DEF=P(P=3)/P(P=1)),X(DEF=P(P=3)/P(P=1)) LOW,X(DEF=P(P=3)/P(P=1)) HIGH,(D(SIG)/D(X))/SIG(NAME=TOTAL),error +,error -,"sys,Overall normalization error +","sys,Overall normalization error -" +0.0159,0.0136,0.0182,8.8,1.2,-1.2,6.0%,-6.0% +0.0205,0.0182,0.0227,19.8,5.3,-5.3,6.0%,-6.0% +0.025,0.0227,0.0273,21.3,2.6,-2.6,6.0%,-6.0% +0.0295,0.0273,0.0318,23.3,3.1,-3.1,6.0%,-6.0% + diff --git a/data/rawdata/kaon/TPC/HEPData-ins262143-v1-Table_1.csv b/data/rawdata/kaon/TPC/HEPData-ins262143-v1-Table_1.csv new file mode 100644 index 000000000..4561f3e98 --- /dev/null +++ b/data/rawdata/kaon/TPC/HEPData-ins262143-v1-Table_1.csv @@ -0,0 +1,136 @@ +#: table_doi: 10.17182/hepdata.38102.v1/t1,,,,, +#: name: Table 1,,,,, +#: description: No description provided.,,,,, +#: data_file: Table1.yaml,,,,, +#: keyword reactions: E+ E- --> CHGD-HADRONS X | E+ E- --> K- X | E+ E- --> K+ X | E+ E- --> PBAR X | E+ E- --> PI- X | E+ E- --> PI+ X | E+ E- --> P X,,,,, +#: keyword observables: DSIG/DZ,,,,, +#: keyword phrases: Inclusive | Single Differential Cross Section | E+ E- Scattering | Strange production,,,,, +#: keyword cmenergies: 29.0,,,,, +#: RE,,,E+ E- --> (PI+ + PI-) X,, +#: SQRT(S) [GeV],,,29,, +#: SYS,,,Errors contain systematic errors added in quadrature. Statistical errors dominate above Z,, +Z(DEF=P(P=3)/P(P=1)),Z(DEF=P(P=3)/P(P=1)) LOW,Z(DEF=P(P=3)/P(P=1)) HIGH,(1/SIG(C=TOTAL))*D(SIG)/D(Z),error +,error - +0.0125,0.01,0.015,88.4,7.2,-7.2 +0.0175,0.015,0.02,138.3,5.4,-5.4 +0.0225,0.02,0.025,149.5,6.6,-6.6 +0.0275,0.025,0.03,144.2,5,-5 +0.0325,0.03,0.035,130.9,4.1,-4.1 +0.0375,0.035,0.04,112.9,3.5,-3.5 +0.0425,0.04,0.045,104.6,3.2,-3.2 +0.0475,0.045,0.05,93.8,3,-3 +0.0525,0.05,0.055,83.8,2.7,-2.7 +0.0575,0.055,0.06,76,2.5,-2.5 +0.0625,0.06,0.065,68.2,2.6,-2.6 +0.0675,0.065,0.07,60.9,3,-3 +0.0725,0.07,0.075,-,0,0 +0.0775,0.075,0.08,-,0,0 +0.0825,0.08,0.085,-,0,0 +0.0875,0.085,0.09,-,0,0 +0.095,0.09,0.1,36,1.9,-1.9 +0.105,0.1,0.11,29.9,1.5,-1.5 +0.115,0.11,0.12,-,0,0 +0.125,0.12,0.13,-,0,0 +0.135,0.13,0.14,-,0,0 +0.145,0.14,0.15,-,0,0 +0.155,0.15,0.16,-,0,0 +0.17,0.16,0.18,12.48,0.51,-0.51 +0.19,0.18,0.2,10.77,0.45,-0.45 +0.21,0.2,0.22,7.95,0.36,-0.36 +0.235,0.22,0.25,6.13,0.26,-0.26 +0.275,0.25,0.3,4.09,0.14,-0.14 +0.325,0.3,0.35,2.61,0.1,-0.1 +0.375,0.35,0.4,1.581,0.071,-0.071 +0.45,0.4,0.5,0.874,0.038,-0.038 +0.55,0.5,0.6,0.37,0.022,-0.022 +0.65,0.6,0.7,0.19,0.015,-0.015 +0.8,0.7,0.9,0.0466,0.007,-0.007 +,,,,, +#: RE,,,E+ E- --> (K+ + K-) X,, +#: SQRT(S) [GeV],,,29,, +#: SYS,,,Errors contain systematic errors added in quadrature. Statistical errors dominate above Z,, +Z(DEF=P(P=3)/P(P=1)),Z(DEF=P(P=3)/P(P=1)) LOW,Z(DEF=P(P=3)/P(P=1)) HIGH,(1/SIG(C=TOTAL))*D(SIG)/D(Z),error +,error - +0.0275,0.025,0.03,5.56,0.49,-0.49 +0.0325,0.03,0.035,7.21,0.56,-0.56 +0.0375,0.035,0.04,7.6,0.59,-0.59 +0.0425,0.04,0.045,9.3,1.2,-1.2 +0.0475,0.045,0.05,8.55,0.96,-0.96 +0.0525,0.05,0.055,8.73,0.65,-0.65 +0.0575,0.055,0.06,8.48,0.74,-0.74 +0.0625,0.06,0.065,9.2,1.3,-1.3 +0.0675,0.065,0.07,8.8,2.3,-2.3 +0.095,0.09,0.1,5.6,1.5,-1.5 +0.105,0.1,0.11,6.32,0.92,-0.92 +0.115,0.11,0.12,5.13,0.61,-0.61 +0.125,0.12,0.13,5.13,0.49,-0.49 +0.135,0.13,0.14,5,0.38,-0.38 +0.275,0.25,0.3,1.73,0.11,-0.11 +0.325,0.3,0.35,1.161,0.073,-0.073 +0.375,0.35,0.4,0.842,0.055,-0.055 +0.45,0.4,0.5,0.47,0.03,-0.03 +0.55,0.5,0.6,0.249,0.02,-0.02 +0.65,0.6,0.7,0.09,0.012,-0.012 +0.8,0.7,0.9,0.0225,0.0048,-0.0048 +,,,,, +#: RE,,,E+ E- --> (P + PBAR) X,, +#: SQRT(S) [GeV],,,29,, +#: SYS,,,Errors contain systematic errors added in quadrature. Statistical errors dominate above Z,, +Z(DEF=P(P=3)/P(P=1)),Z(DEF=P(P=3)/P(P=1)) LOW,Z(DEF=P(P=3)/P(P=1)) HIGH,(1/SIG(C=TOTAL))*D(SIG)/D(Z),error +,error - +0.0375,0.035,0.04,3.63,0.65,-0.65 +0.0425,0.04,0.045,3.46,0.46,-0.46 +0.0475,0.045,0.05,3.99,0.46,-0.46 +0.0525,0.05,0.055,3.64,0.41,-0.41 +0.0575,0.055,0.06,3.35,0.39,-0.39 +0.0625,0.06,0.065,3.32,0.39,-0.39 +0.0675,0.065,0.07,2.76,0.33,-0.33 +0.0725,0.07,0.075,4,0.48,-0.48 +0.0775,0.075,0.08,3.04,0.58,-0.58 +0.0825,0.08,0.085,3.9,1.2,-1.2 +0.0875,0.085,0.09,3.43,0.57,-0.57 +0.095,0.09,0.1,3.06,0.33,-0.33 +0.105,0.1,0.11,2.69,0.6,-0.6 +0.275,0.25,0.3,0.42,0.1,-0.1 +0.325,0.3,0.35,0.313,0.062,-0.062 +0.375,0.35,0.4,0.222,0.046,-0.046 +0.45,0.4,0.5,0.12,0.022,-0.022 +0.55,0.5,0.6,0.044,0.012,-0.012 +0.65,0.6,0.7,0.0305,0.008,-0.008 +0.8,0.7,0.9,0.0064,0.0023,-0.0023 +,,,,, +#: RE,,,E+ E- --> CHGD-HADRONS X,, +#: SQRT(S) [GeV],,,29,, +#: SYS,,,Errors contain systematic errors added in quadrature. Statistical errors dominate above Z,, +Z(DEF=P(P=3)/P(P=1)),Z(DEF=P(P=3)/P(P=1)) LOW,Z(DEF=P(P=3)/P(P=1)) HIGH,(1/SIG(C=TOTAL))*D(SIG)/D(Z),error +,error - +0.0125,0.01,0.015,91.5,7.4,-7.4 +0.0175,0.015,0.02,144.8,5.6,-5.6 +0.0225,0.02,0.025,157.7,7,-7 +0.0275,0.025,0.03,153.4,5.2,-5.2 +0.0325,0.03,0.035,142.2,4.3,-4.3 +0.0375,0.035,0.04,124.1,3.8,-3.8 +0.0425,0.04,0.045,117.3,3.6,-3.6 +0.0475,0.045,0.05,106.4,3.3,-3.3 +0.0525,0.05,0.055,96.2,3,-3 +0.0575,0.055,0.06,87.8,2.7,-2.7 +0.0625,0.06,0.065,80.7,2.6,-2.6 +0.0675,0.065,0.07,72.5,2.4,-2.4 +0.0725,0.07,0.075,69.2,2.4,-2.4 +0.0775,0.075,0.08,60,2.2,-2.2 +0.0825,0.08,0.085,53.3,2.2,-2.2 +0.0875,0.085,0.09,49.2,1.8,-1.8 +0.095,0.09,0.1,44.6,1.4,-1.4 +0.105,0.1,0.11,39,1.3,-1.3 +0.115,0.11,0.12,33.9,1.3,-1.3 +0.125,0.12,0.13,29.4,1.1,-1.1 +0.135,0.13,0.14,26.1,1,-1 +0.145,0.14,0.15,22.11,0.82,-0.82 +0.155,0.15,0.16,20.44,0.79,-0.79 +0.17,0.16,0.18,17,0.58,-0.58 +0.19,0.18,0.2,14.38,0.58,-0.58 +0.21,0.2,0.22,11.31,0.44,-0.44 +0.235,0.22,0.25,8.96,0.32,-0.32 +0.275,0.25,0.3,6.24,0.18,-0.18 +0.325,0.3,0.35,4.08,0.13,-0.13 +0.375,0.35,0.4,2.644,0.093,-0.093 +0.45,0.4,0.5,1.463,0.049,-0.049 +0.55,0.5,0.6,0.663,0.029,-0.029 +0.65,0.6,0.7,0.31,0.019,-0.019 +0.8,0.7,0.9,0.0755,0.0098,-0.0098 diff --git a/data/rawdata/kaon/filter.py b/data/rawdata/kaon/filter.py new file mode 100644 index 000000000..f15d02765 --- /dev/null +++ b/data/rawdata/kaon/filter.py @@ -0,0 +1,1254 @@ +import sys +import pandas as pd +import yaml +import numpy as np + +mKA = 0.493677 # GeV + +# BELLE - inclusive +def filter_BELLE_KA(): + nameexp = 'BELLE_KA_PLUS_MINUS' + infile = 'BELLE/HEPData-ins1216515-v1-Table_1.csv' + ndata = 78 + cme = 10.52 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=94, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + delta = (data.loc[:,6]+data.loc[:,7])/2. + DELTA = (data.loc[:,6]-data.loc[:,7])/2. + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "BELLE coventional $K^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1.96235e+6} #0.65 * sigmatot(NLO) [fb]', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [u,d,s,c]}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.1f}' % (np.sqrt(data.iloc[i,4]**2. + DELTA.iloc[i]**2. + 2.*delta.iloc[i]**2.)), file=f) + print(' - {label: mult, value: 0.014}', file=f) + print(' value: %7.1f' % (data.iloc[i,3]+delta.iloc[i]), file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# BABAR - conventional inclusive +def filter_BABAR_KA_CONVENTIONAL(): + nameexp = 'BABAR_KA_PLUS_MINUS_CONVENTIONAL' + infile = 'BABAR/HEPData-ins1238276-v1-Table_2.csv' + ndata = 45 + cme = 10.54 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=61, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + skipfooter=49, + engine='python') + + breakdown = pd.read_csv( + 'BABAR/babarbdKA.data', + dtype={"user_ld": float}, + header=None, + sep=',', + usecols=[0,1,2,3,4,5,6,7,8,9]) + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "BABAR coventional $K^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [u,d,s,c]}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+(breakdown.iloc[i,9]/100.*data.iloc[i,3])**2.)), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,2]/100.), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,3]/100.), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,4]/100.), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,6]/100.), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,7]/100.), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,8]/100.), file=f) + print(' - {label: mult, value: 0.0098}', file=f) + print(' value: %7.5f' % (data.iloc[i,3]), file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = np.sqrt(1. + mKA**2./data.iloc[i,0]**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + + + + + + +# BABAR - conventional inclusive (uncorrelated) +def filter_BABAR_KA_CONVENTIONAL_UNCORR(): + nameexp = 'BABAR_KA_PLUS_MINUS_CONVENTIONAL_UNCORR' + infile = 'BABAR/HEPData-ins1238276-v1-Table_2.csv' + ndata = 45 + cme = 10.54 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=61, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + skipfooter=49, + engine='python') + + breakdown = pd.read_csv( + 'BABAR/babarbdKA.data', + dtype={"user_ld": float}, + header=None, + sep=',', + usecols=[0,1,2,3,4,5,6,7,8,9]) + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "BABAR coventional $K^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [u,d,s,c]}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+data.iloc[i,6]**2.)), file=f) + #print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,2]/100.), file=f) + #print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,3]/100.), file=f) + #print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,4]/100.), file=f) + #print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,6]/100.), file=f) + #print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,7]/100.), file=f) + #print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,8]/100.), file=f) + print(' - {label: mult, value: 0.0098}', file=f) + print(' value: %7.5f' % (data.iloc[i,3]), file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = np.sqrt(1. + mKA**2./data.iloc[i,0]**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + + + + + + + + + + + + + + + + + + + + + + + + + + + +# BABAR - prompt inclusive +def filter_BABAR_KA_PROMPT(): + nameexp = 'BABAR_KA_PLUS_MINUS_PROMPT' + infile = 'BABAR/HEPData-ins1238276-v1-Table_1.csv' + ndata = 45 + cme = 10.54 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=61, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + skipfooter=49, + engine='python') + + breakdown = pd.read_csv( + 'BABAR/babarbdKA.data', + dtype={"user_ld": float}, + header=None, + sep=',', + usecols=[0,1,2,3,4,5,6,7,8,9]) + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "BABAR prompt $K^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [u,d,s,c]}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+(breakdown.iloc[i,9]/100.*data.iloc[i,3])**2.)), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,2]/100.), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,3]/100.), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,4]/100.), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,5]/100.), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,7]/100.), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,8]/100.), file=f) + print(' - {label: mult, value: 0.0098}', file=f) + print(' value: %7.5f' % (data.iloc[i,3]), file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = np.sqrt(1. + mKA**2./data.iloc[i,0]**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# TASSO12 - inclusive +def filter_TASSO12_KA(): + nameexp = 'TASSO_12_KA_PLUS_MINUS' + infile = 'TASSO12/HEPData-ins153656-v1-Table_3.csv' + ndata = 3 + cme = 12.00 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=11, + sep=',', + header=None, + usecols=[0,1,2], + skipfooter=14, + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "TASSO12 $K^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (data.iloc[i,2]), file=f) + print(' - {label: mult, value: 0.20}', file=f) + print(' value: ', data.iloc[i,1], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = np.sqrt(1. + mKA**2./data.iloc[i,0]**2.) + print(' - {value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {value: %7.5f}' + % (data.iloc[i,0]) , file=f) + +# TASSO14 - inclusive +def filter_TASSO14_KA(): + nameexp = 'TASSO_14_KA_PLUS_MINUS' + infile = 'TASSO14/HEPData-ins181470-v1-Table_2.csv' + ndata = 9 + cme = 14.00 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=11, + sep=',', + header=None, + usecols=[0,1,2,3,4], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "TASSO14 $K^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ',units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (data.iloc[i,4]), file=f) + print(' - {label: mult, value: 0.085}', file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = np.sqrt(1. + mKA**2./data.iloc[i,0]**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# TASSO22 - inclusive +def filter_TASSO22_KA(): + nameexp = 'TASSO_22_KA_PLUS_MINUS' + infile = 'TASSO22/HEPData-ins181470-v1-Table_5.csv' + ndata = 10 + cme = 22.00 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=11, + sep=',', + header=None, + usecols=[0,1,2,3,4], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "TASSO22 $K^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (data.iloc[i,4]), file=f) + print(' - {label: mult, value: 0.063}', file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = np.sqrt(1. + mKA**2./data.iloc[i,0]**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# TPC - inclusive +def filter_TPC_KA(): + nameexp = 'TPC_KA_PLUS_MINUS' + infile = 'TPC/HEPData-ins262143-v1-Table_1.csv' + ndata = 21 + cme = 29.00 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=51, + sep=',', + header=None, + usecols=[0,1,2,3,4,5], + skipfooter=64, + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "TPC $K^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (data.iloc[i,4]), file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + + for i in range(ndata): + factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mKA**2./cme**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], 1./factor), file=f) + print('- header: {name: "xp"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# TASSO30 - inclusive +def filter_TASSO30_KA(): + nameexp = 'TASSO_30_KA_PLUS_MINUS' + infile = 'TASSO30/HEPData-ins153656-v1-Table_6.csv' + ndata = 5 + cme = 30.00 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=11, + sep=',', + header=None, + usecols=[0,1,2], + skipfooter=18, + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "TASSO30 $K^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (data.iloc[i,2]), file=f) + print(' - {label: mult, value: 0.20}', file=f) + print(' value: ', data.iloc[i,1], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = np.sqrt(1. + mKA**2./data.iloc[i,0]**2.) + print(' - {value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {value: %7.5f}' + % (data.iloc[i,0]) , file=f) + +# TASSO34 - inclusive +def filter_TASSO34_KA(): + nameexp = 'TASSO_34_KA_PLUS_MINUS' + infile = 'TASSO34/HEPData-ins267755-v1-Table_8.csv' + ndata = 11 + cme = 34.00 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=11, + sep=',', + header=None, + usecols=[0,1,2,3,4,5], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "TASSO34 $K^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (data.iloc[i,4]), file=f) + print(' - {label: mult, value: 0.06}', file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + + for i in range(ndata): + factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mKA**2./cme**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], 1./factor), file=f) + print('- header: {name: "xp"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# TASSO44 - inclusive +def filter_TASSO44_KA(): + nameexp = 'TASSO_44_KA_PLUS_MINUS' + infile = 'TASSO44/HEPData-ins267755-v1-Table_11.csv' + ndata = 4 + cme = 44.00 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=11, + sep=',', + header=None, + usecols=[0,1,2,3,4,5], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "TASSO44 $K^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (data.iloc[i,4]), file=f) + print(' - {label: mult, value: 0.06}', file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + + for i in range(ndata): + factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mKA**2./cme**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], 1./factor), file=f) + print('- header: {name: "xp"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# ALEPH - inclusive +def filter_ALEPH_KA(): + nameexp = 'ALEPH_KA_PLUS_MINUS' + infile = 'ALEPH/HEPData-ins382179-v1-Table_2.csv' + ndata = 29 + cme = 91.20 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=11, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "ALEPH $K^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+data.iloc[i,6]**2.)), file=f) + print(' - {label: mult, value: 0.05}', file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + + for i in range(ndata): + factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mKA**2./cme**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], 1./factor), file=f) + print('- header: {name: "xp"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# DELPHI - inclusive +def filter_DELPHI_KA(): + nameexp = 'DELPHI_KA_PLUS_MINUS' + infile = 'DELPHI/HEPData-ins473409-v1-Table_5.csv' + ndata = 23 + cme = 91.20 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=13, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "DELPHI $K^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+data.iloc[i,6]**2.)), file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = np.sqrt(1. + mKA**2./data.iloc[i,0]**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# DELPHI - uds tagged +def filter_DELPHI_KA_UDS(): + nameexp = 'DELPHI_KA_PLUS_MINUS_UDS' + infile = 'DELPHI/HEPData-ins473409-v1-Table_13.csv' + ndata = 23 + cme = 91.20 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=13, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "DELPHI $K^\\\\pm$ Multiplicity uds-tag"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [u,d,s]}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+data.iloc[i,6]**2.)), file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = np.sqrt(1. + mKA**2./data.iloc[i,0]**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# DELPHI - b tagged +def filter_DELPHI_KA_B(): + nameexp = 'DELPHI_KA_PLUS_MINUS_B' + infile = 'DELPHI/HEPData-ins473409-v1-Table_9.csv' + ndata = 23 + cme = 91.20 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=13, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "DELPHI $K^\\\\pm$ Multiplicity b-tag"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [b]}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+data.iloc[i,6]**2.)), file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = np.sqrt(1. + mKA**2./data.iloc[i,0]**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# OPAL - inclusive +def filter_OPAL_KA(): + nameexp = 'OPAL_KA_PLUS_MINUS' + infile = 'OPAL/HEPData-ins372772-v1-Table_2.csv' + ndata = 33 + cme = 91.20 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=12, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "OPAL $K^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+data.iloc[i,6]**2.)), file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = np.sqrt(1. + mKA**2./data.iloc[i,0]**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# SLD - inclusive +def filter_SLD_KA(): + nameexp = 'SLD_KA_PLUS_MINUS' + infile = 'SLD/HEPData-ins630327-v1-Table_3.csv' + ndata = 36 + cme = 91.28 #GeV + zmin = 0.01715 + zmax = 1.0 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=55, + sep=',', + header=None, + skipfooter=1, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "SLD $K^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+data.iloc[i,6]**2.)), file=f) + print(' - {label: mult, value: 0.01}', file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + + for i in range(ndata): + factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mKA**2./cme**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], 1./factor), file=f) + print('- header: {name: "xp"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# SLD - uds tag +def filter_SLD_KA_UDS(): + nameexp = 'SLD_KA_PLUS_MINUS_UDS' + infile = 'SLD/HEPData-ins630327-v1-Table_6.csv' + ndata = 36 + cme = 91.28 #GeV + zmin = 0.01715 + zmax = 1.0 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=15, + sep=',', + header=None, + usecols=[0,1,2,3], + skipfooter=90, + engine='python') + + infile_incl = 'SLD/HEPData-ins630327-v1-Table_3.csv' + data_incl = pd.read_csv( + infile_incl, + dtype={"user_ld": float}, + skiprows=55, + sep=',', + header=None, + skipfooter=1, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "SLD $K^\\\\pm$ Multiplicity uds-tag"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [u,d,s]}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,2]**2.+(data.iloc[i,1]/data_incl.iloc[i,3]*data_incl.iloc[i,6])**2.)), file=f) + print(' - {label: mult, value: 0.01}', file=f) + print(' value: ', data.iloc[i,1], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + + for i in range(ndata): + factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mKA**2./cme**2.) + print(' - {value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,0], 1./factor), file=f) + print('- header: {name: "xp"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {value: %7.5f}' + % (data.iloc[i,0]) , file=f) + +# SLD - c tagged +def filter_SLD_KA_C(): + nameexp = 'SLD_KA_PLUS_MINUS_C' + infile = 'SLD/HEPData-ins630327-v1-Table_6.csv' + ndata = 36 + cme = 91.28#GeV + zmin = 0.01715 + zmax = 1.0 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=59, + sep=',', + header=None, + usecols=[0,1,2,3], + skipfooter=46, + engine='python') + + infile_incl = 'SLD/HEPData-ins630327-v1-Table_3.csv' + data_incl = pd.read_csv( + infile_incl, + dtype={"user_ld": float}, + skiprows=55, + sep=',', + header=None, + skipfooter=1, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "SLD $K^\\\\pm$ Multiplicity c-tag"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [c]}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,2]**2.+(data.iloc[i,1]/data_incl.iloc[i,3]*data_incl.iloc[i,6])**2.)), file=f) + print(' - {label: mult, value: 0.01}', file=f) + print(' value: ', data.iloc[i,1], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + + for i in range(ndata): + factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mKA**2./cme**2.) + print(' - {value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,0], 1./factor), file=f) + print('- header: {name: "xp"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {value: %7.5f}' + % (data.iloc[i,0]) , file=f) + +# SLD - b tagged +def filter_SLD_KA_B(): + nameexp = 'SLD_KA_PLUS_MINUS_B' + infile = 'SLD/HEPData-ins630327-v1-Table_6.csv' + ndata = 36 + cme = 91.28 #GeV + zmin = 0.01715 + zmax = 1.0 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=103, + sep=',', + header=None, + usecols=[0,1,2,3], + skipfooter=2, + engine='python') + + infile_incl = 'SLD/HEPData-ins630327-v1-Table_3.csv' + data_incl = pd.read_csv( + infile_incl, + dtype={"user_ld": float}, + skiprows=55, + sep=',', + header=None, + skipfooter=1, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "SLD $K^\\\\pm$ Multiplicity b-tag"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [b]}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,2]**2.+(data.iloc[i,1]/data_incl.iloc[i,3]*data_incl.iloc[i,6])**2.)), file=f) + print(' - {label: mult, value: 0.01}', file=f) + print(' value: ', data.iloc[i,1], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + + for i in range(ndata): + factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mKA**2./cme**2.) + print(' - {value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,0], 1./factor), file=f) + print('- header: {name: "xp"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {value: %7.5f}' + % (data.iloc[i,0]) , file=f) + +# COMPASS - SIDIS, K+ +def filter_COMPASS_KA_PLUS(): + nameexp = 'COMPASS_KA_PLUS' + infile = 'COMPASS/HEPData-ins1483098-v1-Table_1.csv' + ndata = 309 + cme = 17.34 #GeV + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=14, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "COMPASS $K^+$ Multiplicities"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIDIS}', file=f) + print(' - {name: observable, value: dsigma/dxdydz}', file=f) + print(' - {name: target_isoscalarity, value: 0.5}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: Q, low: 1, high: 7.745966692414834, integrate: true}', file=f) + print(' - {name: x, low: 0.004, high: 0.4, integrate: true}', file=f) + print(' - {name: z, low: 0.2, high: 0.85, integrate: true}', file=f) + print(' - {name: PS_reduction, W: 5, ymin: 0.1, ymax: 0.7}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 1}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,11]**2+(0.6*data.iloc[i,13])**2)), file=f) + print(' - {label: add, value: %7.5f}' % (0.8*data.iloc[i,13]/data.iloc[i,10]), file=f) + print(' value: ', data.iloc[i,10], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,9], data.iloc[i,8], data.iloc[i,7]), file=f) + print('- header: {name: "x"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + print('- header: {name: "y"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,5], data.iloc[i,4], data.iloc[i,3]) , file=f) + print('- header: {name: "Q2"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {value: %7.5f}' + % (data.iloc[i,6]) , file=f) + +# COMPASS - SIDIS, K- +def filter_COMPASS_KA_MINUS(): + nameexp = 'COMPASS_KA_MINUS' + infile = 'COMPASS/HEPData-ins1483098-v1-Table_2.csv' + ndata = 309 + cme = 17.34 #GeV + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=14, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "COMPASS $K^-$ Multiplicities"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIDIS}', file=f) + print(' - {name: observable, value: dsigma/dxdydz}', file=f) + print(' - {name: target_isoscalarity, value: 0.5}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: Q, low: 1, high: 7.745966692414834, integrate: true}', file=f) + print(' - {name: x, low: 0.004, high: 0.4, integrate: true}', file=f) + print(' - {name: z, low: 0.2, high: 0.85, integrate: true}', file=f) + print(' - {name: PS_reduction, W: 5, ymin: 0.1, ymax: 0.7}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: -1}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,11]**2+(0.6*data.iloc[i,13])**2)), file=f) + print(' - {label: add, value: %7.5f}' % (0.8*data.iloc[i,13]/data.iloc[i,10]), file=f) + print(' value: ', data.iloc[i,10], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,9], data.iloc[i,8], data.iloc[i,7]), file=f) + print('- header: {name: "x"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + print('- header: {name: "y"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,5], data.iloc[i,4], data.iloc[i,3]) , file=f) + print('- header: {name: "Q2"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {value: %7.5f}' + % (data.iloc[i,6]) , file=f) + +# Filter data +filter_BELLE_KA() +filter_BABAR_KA_CONVENTIONAL() +filter_BABAR_KA_CONVENTIONAL_UNCORR() +filter_BABAR_KA_PROMPT() +filter_TASSO12_KA() +filter_TASSO14_KA() +filter_TASSO22_KA() +filter_TPC_KA() +filter_TASSO30_KA() +filter_TASSO34_KA() +filter_TASSO44_KA() +filter_ALEPH_KA() +filter_DELPHI_KA() +filter_DELPHI_KA_UDS() +filter_DELPHI_KA_B() +filter_OPAL_KA() +filter_SLD_KA() +filter_SLD_KA_UDS() +filter_SLD_KA_C() +filter_SLD_KA_B() +filter_COMPASS_KA_PLUS() +filter_COMPASS_KA_MINUS() diff --git a/data/rawdata/pion/ALEPH/HEPData-ins382179-v1-Table_2.csv b/data/rawdata/pion/ALEPH/HEPData-ins382179-v1-Table_2.csv new file mode 100644 index 000000000..ef7a1fe44 --- /dev/null +++ b/data/rawdata/pion/ALEPH/HEPData-ins382179-v1-Table_2.csv @@ -0,0 +1,41 @@ +#: table_doi: 10.17182/hepdata.48315.v1/t2 +#: name: Table 2 +#: description: No description provided. +#: data_file: Table2.yaml +#: keyword reactions: E+ E- --> HADRONS | E+ E- --> K- X | E+ E- --> K+ X +#: keyword observables: DSIG/DZ +#: keyword phrases: Exclusive | Inclusive | Single Differential Cross Section | E+ E- Scattering | Strange production +#: keyword cmenergies: 0.216 +#: RE,,,E+ E- --> (K+ + K-) X +#: SQRT(S) [GeV],,,0.216 +Z(DEF=P(P=1)/P(P=3)),Z(DEF=P(P=1)/P(P=3)) LOW,Z(DEF=P(P=1)/P(P=3)) HIGH,(1/SIG) D(SIG)/DZ,stat +,stat -,sys +,sys - +0.00574,0.0055,0.006,12.4,1.12,-1.12,0.01,-0.01 +0.00622,0.006,0.0065,13.27,0.91,-0.91,0.01,-0.01 +0.00673,0.0065,0.007,15.33,0.9,-0.9,0.01,-0.01 +0.00722,0.007,0.0075,17.43,0.92,-0.92,0.02,-0.02 +0.00773,0.0075,0.008,18.33,0.88,-0.88,0.02,-0.02 +0.00822,0.008,0.0085,19.62,0.9,-0.9,0.02,-0.02 +0.00871,0.0085,0.009,20.02,0.86,-0.86,0.05,-0.05 +0.00922,0.009,0.0095,21.66,0.88,-0.88,0.12,-0.12 +0.0135,0.013,0.014,25.84,0.66,-0.66,0.5,-0.5 +0.0147,0.014,0.016,27.46,0.47,-0.47,0.68,-0.68 +0.0167,0.016,0.018,27.63,0.53,-0.53,2.2,-2.2 +0.0719,0.07,0.075,10.6,0.3,-0.3,1.28,-1.28 +0.0769,0.075,0.08,9.53,0.26,-0.26,0.98,-0.98 +0.0819,0.08,0.085,9.15,0.23,-0.23,0.83,-0.83 +0.087,0.085,0.09,8.41,0.21,-0.21,0.71,-0.71 +0.0942,0.09,0.1,7.96,0.14,-0.14,0.56,-0.56 +0.104,0.1,0.11,7.26,0.13,-0.13,0.47,-0.47 +0.114,0.11,0.12,6.34,0.11,-0.11,0.37,-0.37 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X | E+ E- --> PI- X | E+ E- --> K+ X | E+ E- --> K+ X | E+ E- --> PBAR X | E+ E- --> P X +#: keyword observables: DN/DP +#: keyword phrases: Inclusive | Single Differential Distribution | E+ E- Scattering | Strange production +#: keyword cmenergies: 10.54 +#: RE,,,E+ E- --> (PI+ + PI-) X +#: SQRT(S) [GeV],,,10.54 +"P(P=3,RF=CM) [GEV]","P(P=3,RF=CM) [GEV] LOW","P(P=3,RF=CM) [GEV] HIGH","(1/Nevt)*D(N)/DP(P=3,RF=CM)",stat +,stat -,sys +,sys -,"sys,normalization uncertainty +","sys,normalization uncertainty -" +0.225,0.2,0.25,8.01,0.02,-0.02,0.22,-0.22,0.98%,-0.98% +0.275,0.25,0.3,8.25,0.01,-0.01,0.21,-0.21,0.98%,-0.98% +0.32499999999999996,0.3,0.35,8.04,0.01,-0.01,0.17,-0.17,0.98%,-0.98% +0.375,0.35,0.4,7.52,0.01,-0.01,0.14,-0.14,0.98%,-0.98% +0.42500000000000004,0.4,0.45,6.93,0.01,-0.01,0.11,-0.11,0.98%,-0.98% +0.475,0.45,0.5,6.36,0.01,-0.01,0.1,-0.1,0.98%,-0.98% +0.525,0.5,0.55,5.78,0.01,-0.01,0.08,-0.08,0.98%,-0.98% +0.575,0.55,0.6,5.21,0.01,-0.01,0.07,-0.07,0.98%,-0.98% 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+ diff --git a/data/rawdata/pion/BABAR/HEPData-ins1238276-v1-Table_2.csv b/data/rawdata/pion/BABAR/HEPData-ins1238276-v1-Table_2.csv new file mode 100644 index 000000000..fb12ea2c6 --- /dev/null +++ b/data/rawdata/pion/BABAR/HEPData-ins1238276-v1-Table_2.csv @@ -0,0 +1,156 @@ +#: table_doi: 10.17182/hepdata.62088.v1/t2 +#: name: Table 2 +#: description: Differential cross section for conventional PI+-, K+- and PBAR/P production. + +#: data_file: Table2.yaml +#: keyword reactions: E+ E- --> PI+ X | E+ E- --> PI- X | E+ E- --> K+ X | E+ E- --> K+ X | E+ E- --> PBAR X | E+ E- --> P X +#: keyword observables: DN/DP +#: keyword phrases: Inclusive | Single Differential Distribution | E+ E- Scattering | Strange production +#: keyword cmenergies: 10.54 +#: RE,,,E+ E- --> (PI+ + PI-) X +#: SQRT(S) [GeV],,,10.54 +"P(P=3,RF=CM) [GEV]","P(P=3,RF=CM) [GEV] LOW","P(P=3,RF=CM) [GEV] HIGH","(1/Nevt)*D(N)/DP(P=3,RF=CM)",stat +,stat -,sys +,sys -,"sys,normalization uncertainty +","sys,normalization 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as a function of the fractional hadron energy Z (=2*Eh/sqrt(s)). + +#: data_file: Table1.yaml +#: keyword reactions: E+ E- --> PI+ X | E+ E- --> PI- X | E+ E- --> K+ X | E+ E- --> K- X +#: keyword observables: DSIG/DZ +#: keyword phrases: Inclusive | Single Differential Cross Section | E+ E- Scattering | Strange production +#: keyword cmenergies: 10.52 +#: RE,,,E+ E- --> (PI+ + PI-) X +#: SQRT(S) [GeV],,,10.52 +Z,Z LOW,Z HIGH,D(SIG)/DZ [FB],stat +,stat -,sys +,sys -,"sys,normalization uncertainty +","sys,normalization uncertainty -" +0.20500000000000002,0.2,0.21,20377900.0,7000.0,-7000.0,384600.0,-384400.0,1.4%,-1.4% +0.215,0.21,0.22,18324600.0,6600.0,-6600.0,356200.0,-356000.0,1.4%,-1.4% +0.225,0.22,0.23,16509300.0,6300.0,-6300.0,331800.0,-331700.0,1.4%,-1.4% +0.235,0.23,0.24,14878900.0,5900.0,-5900.0,296400.0,-296300.0,1.4%,-1.4% +0.245,0.24,0.25,13443500.0,5600.0,-5600.0,276900.0,-276800.0,1.4%,-1.4% +0.255,0.25,0.26,12193600.0,5400.0,-5400.0,257000.0,-256900.0,1.4%,-1.4% 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10.17182/hepdata.76800.v1/t1,,,,,,,,,,,,,, +#: name: Table 1,,,,,,,,,,,,,, +#: description: Multiplicities of positively charged pions from semi-inclusive deep-inelastic scattering of muons off an isoscalar target, $M^{\pi^{+}}$, in bins of $x$, $y$, and $z$. Also given are the diffractive vector meson correction to the pion count, $DVM^{\pi^{+}}$, and DIS count, $DVM^{DIS}$, as well as the radiative correction factors to the pion count, $\eta^{\pi^{+}}$, and DIS count, $\eta^{DIS}$. The correction factors were applied to the raw multiplicity to arrive at the final multiplicity given in the table, $M^{\pi^{+}}$, as follows:, +,,,,,,,,,,,,,, +$M^{\pi^{+}}$ = $M_{raw}^{\pi^{+}}$ * $\frac{\eta^{\pi^{+}}} {\eta^{DIS}}$ * $\frac{ DVM^{\pi^{+}} } {DVM^{DIS} }$.,,,,,,,,,,,,,, +#: data_file: data1.yaml,,,,,,,,,,,,,, +#: data_license: ,,,,,,,,,,,,,, +#: keyword reactions: $\mu^{+}$ d --> $\mu'^{+}$ $\pi^{+}$ X,,,,,,,,,,,,,, +#: keyword observables: MULT,,,,,,,,,,,,,, +#: keyword phrases: ,,,,,,,,,,,,,, +#: keyword cmenergies: ,,,,,,,,,,,,,, +#: PLAB [GEV],,,,,,,160,,,,,,, +#: RE,,,,,,,$\mu^{+}$ d --> $\mu'^{+}$ $\pi^{+}$ X,,,,,,, +$x$,$x$ LOW,$x$ HIGH,$y$,$y$ LOW,$y$ HIGH,$ (GeV/c)^2$,$z^{\pi^{+}}$,$z^{\pi^{+}}$ LOW,$z^{\pi^{+}}$ HIGH,$M^{\pi^{+}}$,stat +,stat -,sys +,sys - +0.0087,0.004,0.01,0.443,0.3,0.5,1.149,0.223,0.2,0.25,1.8171,0.0155,-0.0155,0.0913,-0.0913 +0.0088,0.004,0.01,0.435,0.3,0.5,1.138,0.274,0.25,0.3,1.2272,0.0125,-0.0125,0.0615,-0.0615 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Also given are the diffractive vector meson correction to the pion count, $DVM^{\pi^{-}}$, and DIS count, $DVM^{DIS}$, as well as the radiative correction factors to the pion count, $\eta^{\pi^{-}}$, and DIS count, $\eta^{DIS}$. The correction factors were applied to the raw multiplicity to arrive at the final multiplicity given in the table, $M^{\pi^{-}}$, as follows:, +,,,,,,,,,,,,,, +$M^{\pi^{-}}$ = $M_{raw}^{\pi^{-}}$ * $\frac{\eta^{\pi^{-}}} {\eta^{DIS}}$ * $\frac{ DVM^{\pi^{-}} } {DVM^{DIS} }$.,,,,,,,,,,,,,, +#: data_file: data2.yaml,,,,,,,,,,,,,, +#: data_license: ,,,,,,,,,,,,,, +#: keyword reactions: $\mu^{+}$ d --> $\mu^{+}$ $\pi^{-}$ X,,,,,,,,,,,,,, +#: keyword observables: MULT,,,,,,,,,,,,,, +#: keyword phrases: ,,,,,,,,,,,,,, +#: keyword cmenergies: ,,,,,,,,,,,,,, +#: PLAB [GEV],,,,,,,160,,,,,,, +#: RE,,,,,,,$\mu^{+}$ d --> $\mu^{+}$ $\pi^{-}$ X,,,,,,, +$x$,$x$ LOW,$x$ HIGH,$y$,$y$ LOW,$y$ HIGH,$ (GeV/c)^2$,$z^{\pi^{-}}$,$z^{\pi^{-}}$ LOW,$z^{\pi^{-}}$ HIGH,$M^{\pi^{-}}$,stat +,stat -,sys +,sys - +0.0087,0.004,0.01,0.443,0.3,0.5,1.149,0.223,0.2,0.25,1.7515,0.0153,-0.0153,0.0881,-0.0881 +0.0088,0.004,0.01,0.435,0.3,0.5,1.138,0.273,0.25,0.3,1.2004,0.0125,-0.0125,0.0601,-0.0601 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+0.2502,0.18,0.4,0.329,0.3,0.5,24.339,0.674,0.65,0.7,0.0729,0.0112,-0.0112,0.0047,-0.0047 diff --git a/data/rawdata/pion/DELPHI/HEPData-ins473409-v1-Table_13.csv b/data/rawdata/pion/DELPHI/HEPData-ins473409-v1-Table_13.csv new file mode 100644 index 000000000..075650bb5 --- /dev/null +++ b/data/rawdata/pion/DELPHI/HEPData-ins473409-v1-Table_13.csv @@ -0,0 +1,37 @@ +#: table_doi: 10.17182/hepdata.49385.v1/t13 +#: name: Table 13 +#: description: Normalised K+- production rates in Z0-->(U-UBAR,D-DBAR,S-SBAR) events. + +#: data_file: Table13.yaml +#: keyword reactions: E+ E- --> K- X | E+ E- --> K+ X | E+ E- --> Z0 +#: keyword observables: DN/DP +#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering | Strange production +#: keyword cmenergies: 91.2 +#: RE,,,E+ E- --> (K+ + K-) X +#: RE(Q=TOT),,,E+ E- --> CHARGED X +#: SQRT(S) [GeV],,,91.2,,,, +P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,(D(N)/DP)/(D(N(Q=TOT))/DP) [PCT],stat +,stat -,sys +,sys - +0.8049999999999999,0.7,0.91,7.34,1.03,-1.03,0.95,-0.95 +1.025,0.91,1.14,8.78,1.18,-1.18,1.13,-1.13 +1.255,1.14,1.37,8.98,1.27,-1.27,1.22,-1.22 +1.485,1.37,1.6,10.27,1.05,-1.05,0.93,-0.93 +1.71,1.6,1.82,10.52,1.61,-1.61,1.48,-1.48 +2.05,1.82,2.28,11.43,2.06,-2.06,1.98,-1.98 +2.51,2.28,2.74,11.72,2.77,-2.77,2.69,-2.69 +2.965,2.74,3.19,11.99,0.86,-0.86,0.76,-0.76 +3.42,3.19,3.65,12.65,1.07,-1.07,1.01,-1.01 +3.875,3.65,4.1,13.57,0.9,-0.9,0.82,-0.82 +4.33,4.1,4.56,14.45,1.09,-1.09,1.0,-1.0 +5.015,4.56,5.47,14.91,1.0,-1.0,0.92,-0.92 +5.925,5.47,6.38,15.59,0.97,-0.97,0.76,-0.76 +6.835,6.38,7.29,16.52,1.86,-1.86,1.53,-1.53 +7.75,7.29,8.21,17.01,2.53,-2.53,2.0,-2.0 +8.665,8.21,9.12,18.86,2.84,-2.84,2.65,-2.65 +10.485,9.12,11.85,20.33,0.75,-0.75,0.68,-0.68 +12.765,11.85,13.68,23.14,1.21,-1.21,1.09,-1.09 +15.959999999999999,13.68,18.24,25.6,1.66,-1.66,1.58,-1.58 +20.52,18.24,22.8,28.87,2.79,-2.79,2.62,-2.62 +25.08,22.8,27.36,30.59,3.82,-3.82,3.34,-3.34 +31.915,27.36,36.47,34.77,6.8,-6.8,5.79,-5.79 +40.735,36.47,45.0,27.88,24.47,-24.47,18.19,-18.19 + diff --git a/data/rawdata/pion/DELPHI/HEPData-ins473409-v1-Table_5.csv b/data/rawdata/pion/DELPHI/HEPData-ins473409-v1-Table_5.csv new file mode 100644 index 000000000..b544b5108 --- /dev/null +++ b/data/rawdata/pion/DELPHI/HEPData-ins473409-v1-Table_5.csv @@ -0,0 +1,37 @@ +#: table_doi: 10.17182/hepdata.49385.v1/t5 +#: name: Table 5 +#: description: Normalised K+- production rates in Z0-->Q-QBAR events. + +#: data_file: Table5.yaml +#: keyword reactions: E+ E- --> K- X | E+ E- --> K+ X | E+ E- --> Z0 +#: keyword observables: DN/DP +#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering | Strange production +#: keyword cmenergies: 91.2 +#: RE,,,E+ E- --> (K+ + K-) X +#: RE(Q=TOT),,,E+ E- --> CHARGED X +#: SQRT(S) [GeV],,,91.2,,,, +P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,(D(N)/DP)/(D(N(Q=TOT))/DP) [PCT],stat +,stat -,sys +,sys - +0.8049999999999999,0.7,0.91,7.17,1.02,-1.02,0.95,-0.95 +1.025,0.91,1.14,8.58,1.18,-1.18,1.14,-1.14 +1.255,1.14,1.37,8.84,1.28,-1.28,1.24,-1.24 +1.485,1.37,1.6,10.21,0.99,-0.99,0.91,-0.91 +1.71,1.6,1.82,10.63,1.58,-1.58,1.49,-1.49 +2.05,1.82,2.28,11.84,2.06,-2.06,2.01,-2.01 +2.51,2.28,2.74,12.55,2.75,-2.75,2.69,-2.69 +2.965,2.74,3.19,13.25,0.89,-0.89,0.8,-0.8 +3.42,3.19,3.65,14.32,1.05,-1.05,0.99,-0.99 +3.875,3.65,4.1,15.59,0.98,-0.98,0.91,-0.91 +4.33,4.1,4.56,16.72,1.17,-1.17,1.09,-1.09 +5.015,4.56,5.47,17.39,1.15,-1.15,1.09,-1.09 +5.925,5.47,6.38,18.23,1.02,-1.02,0.84,-0.84 +6.835,6.38,7.29,19.25,1.94,-1.94,1.67,-1.67 +7.75,7.29,8.21,19.55,2.78,-2.78,2.37,-2.37 +8.665,8.21,9.12,21.47,3.04,-3.04,2.89,-2.89 +10.485,9.12,11.85,22.73,0.76,-0.76,0.69,-0.69 +12.765,11.85,13.68,25.17,1.04,-1.04,0.93,-0.93 +15.959999999999999,13.68,18.24,26.77,1.56,-1.56,1.49,-1.49 +20.52,18.24,22.8,29.04,2.75,-2.75,2.63,-2.63 +25.08,22.8,27.36,29.97,3.03,-3.03,2.62,-2.62 +31.915,27.36,36.47,33.86,6.91,-6.91,6.24,-6.24 +40.735,36.47,45.0,27.78,24.12,-24.12,20.12,-20.12 + diff --git a/data/rawdata/pion/DELPHI/HEPData-ins473409-v1-Table_9.csv b/data/rawdata/pion/DELPHI/HEPData-ins473409-v1-Table_9.csv new file mode 100644 index 000000000..541244c0b --- /dev/null +++ b/data/rawdata/pion/DELPHI/HEPData-ins473409-v1-Table_9.csv @@ -0,0 +1,37 @@ +#: table_doi: 10.17182/hepdata.49385.v1/t9 +#: name: Table 9 +#: description: Normalised K+- production rates in Z0-->B-BBAR events. + +#: data_file: Table9.yaml +#: keyword reactions: E+ E- --> K- X | E+ E- --> K+ X | E+ E- --> Z0 +#: keyword observables: DN/DP +#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering | Strange production +#: keyword cmenergies: 91.2 +#: RE,,,E+ E- --> (K+ + K-) X +#: RE(Q=TOT),,,E+ E- --> CHARGED X +#: SQRT(S) [GeV],,,91.2,,,, +P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,(D(N)/DP)/(D(N(Q=TOT))/DP) [PCT],stat +,stat -,sys +,sys - +0.8049999999999999,0.7,0.91,6.7,1.14,-1.14,0.81,-0.81 +1.025,0.91,1.14,8.05,1.23,-1.23,1.09,-1.09 +1.255,1.14,1.37,8.51,1.45,-1.45,1.3,-1.3 +1.485,1.37,1.6,10.11,1.21,-1.21,0.85,-0.85 +1.71,1.6,1.82,11.03,2.08,-2.08,1.71,-1.71 +2.05,1.82,2.28,12.98,2.32,-2.32,2.0,-2.0 +2.51,2.28,2.74,14.59,3.2,-3.2,2.85,-2.85 +2.965,2.74,3.19,16.08,1.38,-1.38,0.91,-0.91 +3.42,3.19,3.65,17.76,1.45,-1.45,1.08,-1.08 +3.875,3.65,4.1,19.43,1.74,-1.74,1.4,-1.4 +4.33,4.1,4.56,20.67,1.66,-1.66,1.15,-1.15 +5.015,4.56,5.47,21.23,1.47,-1.47,1.03,-1.03 +5.925,5.47,6.38,21.73,2.03,-2.03,1.34,-1.34 +6.835,6.38,7.29,22.19,3.45,-3.45,1.88,-1.88 +7.75,7.29,8.21,21.76,5.01,-5.01,3.04,-3.04 +8.665,8.21,9.12,23.09,3.98,-3.98,3.12,-3.12 +10.485,9.12,11.85,22.77,1.0,-1.0,0.69,-0.69 +12.765,11.85,13.68,22.24,1.32,-1.32,0.86,-0.86 +15.959999999999999,13.68,18.24,19.85,1.36,-1.36,1.03,-1.03 +20.52,18.24,22.8,15.47,1.99,-1.99,1.59,-1.59 +25.08,22.8,27.36,11.5,1.97,-1.97,0.72,-0.72 +31.915,27.36,36.47,9.38,2.93,-2.93,0.83,-0.83 +40.735,36.47,45.0,5.86,9.04,-9.04,6.71,-6.71 + diff --git a/data/rawdata/pion/OPAL/HEPData-ins372772-v1-Table_2.csv b/data/rawdata/pion/OPAL/HEPData-ins372772-v1-Table_2.csv new file mode 100644 index 000000000..3c9d550ba --- /dev/null +++ b/data/rawdata/pion/OPAL/HEPData-ins372772-v1-Table_2.csv @@ -0,0 +1,46 @@ +#: table_doi: 10.17182/hepdata.48259.v1/t2 +#: name: Table 2 +#: description: Normalised momentum distribution for charged kaon production. + +#: data_file: Table2.yaml +#: keyword reactions: E+ E- --> K- X | E+ E- --> K+ X | E+ E- --> Z0 +#: keyword observables: DSIG/DP +#: keyword phrases: Inclusive | Exclusive | Single Differential Cross Section | E+ E- Scattering | Strange production +#: keyword cmenergies: 91.2 +#: RE,,,E+ E- --> (K+ + K-) X +#: SQRT(S) [GeV],,,91.2,,,, +P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,(1/SIG(C=HAD))*D(SIG)/DP [GEV**-1],stat +,stat -,sys +,sys - +0.276,0.271,0.281,0.363,0.03,-0.03,0.028,-0.028 +0.287,0.281,0.292,0.373,0.027,-0.027,0.028,-0.028 +0.298,0.292,0.304,0.367,0.024,-0.024,0.025,-0.025 +0.311,0.304,0.317,0.374,0.022,-0.022,0.023,-0.023 +0.324,0.317,0.331,0.375,0.021,-0.021,0.019,-0.019 +0.339,0.331,0.346,0.41,0.02,-0.02,0.019,-0.019 +0.354,0.346,0.362,0.431,0.02,-0.02,0.019,-0.019 +0.371,0.362,0.379,0.418,0.018,-0.018,0.02,-0.02 +0.388,0.379,0.397,0.456,0.018,-0.018,0.016,-0.016 +0.406,0.397,0.416,0.499,0.018,-0.018,0.017,-0.017 +0.426,0.416,0.436,0.514,0.017,-0.017,0.016,-0.016 +0.447,0.436,0.457,0.486,0.011,-0.011,0.011,-0.011 +0.469,0.457,0.48,0.522,0.011,-0.011,0.011,-0.011 +0.492,0.48,0.504,0.541,0.011,-0.011,0.012,-0.012 +0.516,0.504,0.528,0.539,0.011,-0.011,0.018,-0.018 +0.542,0.528,0.555,0.557,0.011,-0.011,0.02,-0.02 +0.569,0.555,0.583,0.587,0.011,-0.011,0.014,-0.014 +0.597,0.583,0.612,0.59,0.01,-0.01,0.048,-0.048 +0.627,0.612,0.643,0.586,0.01,-0.01,0.016,-0.016 +0.659,0.643,0.675,0.591,0.01,-0.01,0.044,-0.044 +0.692,0.675,0.709,0.614,0.009,-0.009,0.024,-0.024 +0.727,0.709,0.745,0.597,0.009,-0.009,0.025,-0.025 +0.764,0.745,0.783,0.613,0.009,-0.009,0.031,-0.031 +4.48,4.05,4.95,0.181,0.004,-0.004,0.015,-0.015 +5.46,4.95,6.05,0.138,0.003,-0.003,0.009,-0.009 +6.67,6.05,7.38,0.103,0.001,-0.001,0.006,-0.006 +8.15,7.38,9.02,0.0767,0.001,-0.001,0.0042,-0.0042 +9.94,9.02,11.01,0.0536,0.0006,-0.0006,0.0029,-0.0029 +12.13,11.01,13.45,0.0349,0.0005,-0.0005,0.0018,-0.0018 +14.81,13.45,16.43,0.022,0.0003,-0.0003,0.0012,-0.0012 +18.07,16.43,20.06,0.0127,0.0003,-0.0003,0.0007,-0.0007 +23.79,20.06,29.93,0.0042,0.0001,-0.0001,0.0003,-0.0003 +33.94,29.93,45.6,0.0004,0.0001,-0.0001,0.0001,-0.0001 + diff --git a/data/rawdata/pion/SLD/HEPData-ins630327-v1-Table_3.csv b/data/rawdata/pion/SLD/HEPData-ins630327-v1-Table_3.csv new file mode 100644 index 000000000..31cd15276 --- /dev/null +++ b/data/rawdata/pion/SLD/HEPData-ins630327-v1-Table_3.csv @@ -0,0 +1,93 @@ +#: table_doi: 10.17182/hepdata.22177.v1/t3 +#: name: Table 3 +#: description: The charged kaon fraction and differential production rate per hadronic Z0 decay. + +#: data_file: Table3.yaml +#: keyword reactions: E+ E- --> K- X | E+ E- --> K+ X | E+ E- --> Z0 +#: keyword observables: DN/DX | N +#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering | Strange production +#: keyword cmenergies: 91.28 +#: RE(Q=K+-),,,E+ E- --> (K+ + K-) X +#: RE(Q=Z0),,,E+ E- --> Z0 < HADRONS > +#: SQRT(S) [GeV],,,91.28,,,, +X(DEF=2*P(P=3)/SQRT(S)),X(DEF=2*P(P=3)/SQRT(S)) LOW,X(DEF=2*P(P=3)/SQRT(S)) HIGH,N(Q=K+-)/N(Q=Z0),stat +,stat -,sys +,sys - +0.0153,0.014,0.016,0.072,0.002,-0.002,0.023,-0.023 +0.0191,0.016,0.022,0.065,0.001,-0.001,0.005,-0.005 +0.0246,0.022,0.027,0.082,0.001,-0.001,0.003,-0.003 +0.0301,0.027,0.033,0.091,0.001,-0.001,0.002,-0.002 +0.0356,0.033,0.038,0.101,0.001,-0.001,0.002,-0.002 +0.0411,0.038,0.044,0.114,0.001,-0.001,0.003,-0.003 +0.0465,0.044,0.049,0.123,0.001,-0.001,0.004,-0.004 +0.0521,0.049,0.055,0.131,0.002,-0.002,0.004,-0.004 +0.0576,0.055,0.06,0.139,0.002,-0.002,0.005,-0.005 +0.063,0.06,0.066,0.147,0.002,-0.002,0.006,-0.006 +0.0685,0.066,0.071,0.158,0.002,-0.002,0.008,-0.008 +0.074,0.071,0.077,0.166,0.002,-0.002,0.009,-0.009 +0.0795,0.077,0.082,0.166,0.003,-0.003,0.01,-0.01 +0.08499999999999999,0.082,0.088,0.172,0.003,-0.003,0.01,-0.01 +0.0931,0.088,0.099,0.181,0.002,-0.002,0.011,-0.011 +0.104,0.099,0.11,0.196,0.003,-0.003,0.011,-0.011 +0.115,0.11,0.121,0.216,0.004,-0.004,0.012,-0.012 +0.131,0.121,0.143,0.216,0.003,-0.003,0.014,-0.014 +0.153,0.143,0.164,0.199,0.005,-0.005,0.019,-0.019 +0.175,0.164,0.186,0.23,0.009,-0.009,0.035,-0.035 +0.197,0.186,0.208,0.232,0.004,-0.004,0.035,-0.035 +0.2189,0.208,0.23,0.264,0.004,-0.004,0.017,-0.017 +0.241,0.23,0.252,0.256,0.004,-0.004,0.008,-0.008 +0.2629,0.252,0.274,0.267,0.004,-0.004,0.006,-0.006 +0.2849,0.274,0.296,0.283,0.005,-0.005,0.004,-0.004 +0.3068,0.296,0.318,0.29,0.005,-0.005,0.004,-0.004 +0.3338,0.318,0.351,0.298,0.005,-0.005,0.004,-0.004 +0.3666,0.351,0.384,0.309,0.006,-0.006,0.006,-0.006 +0.3997,0.384,0.417,0.343,0.007,-0.007,0.008,-0.008 +0.4325,0.417,0.45,0.345,0.008,-0.008,0.009,-0.009 +0.4651,0.45,0.482,0.368,0.01,-0.01,0.011,-0.011 +0.5035,0.482,0.526,0.384,0.011,-0.011,0.013,-0.013 +0.547,0.526,0.57,0.411,0.016,-0.016,0.015,-0.015 +0.6083,0.57,0.658,0.439,0.017,-0.017,0.017,-0.017 +0.7047,0.658,0.768,0.431,0.032,-0.032,0.018,-0.018 +0.8383,0.768,1.0,0.328,0.09,-0.09,0.042,-0.042 +0.507,0.014,1.0,-,0,0,0,0 + +#: RE(Q=K+-),,,E+ E- --> (K+ + K-) X +#: RE(Q=Z0),,,E+ E- --> Z0 < HADRONS > +#: SQRT(S) [GeV],,,91.28,,,, +X(DEF=2*P(P=3)/SQRT(S)),X(DEF=2*P(P=3)/SQRT(S)) LOW,X(DEF=2*P(P=3)/SQRT(S)) HIGH,(1/N(Q=Z0))*D(N(Q=K+-))/DX,stat +,stat -,sys +,sys - +0.0153,0.014,0.016,28.59,0.64,-0.64,9.26,-9.26 +0.0191,0.016,0.022,21.57,0.2,-0.2,1.57,-1.57 +0.0246,0.022,0.027,21.62,0.19,-0.19,0.8,-0.8 +0.0301,0.027,0.033,19.65,0.18,-0.18,0.53,-0.53 +0.0356,0.033,0.038,18.02,0.16,-0.16,0.44,-0.44 +0.0411,0.038,0.044,17.27,0.17,-0.17,0.43,-0.43 +0.0465,0.044,0.049,15.78,0.17,-0.17,0.47,-0.47 +0.0521,0.049,0.055,14.664,0.194,-0.194,0.442,-0.442 +0.0576,0.055,0.06,13.535,0.189,-0.189,0.503,-0.503 +0.063,0.06,0.066,12.599,0.176,-0.176,0.558,-0.558 +0.0685,0.066,0.071,12.036,0.165,-0.165,0.635,-0.635 +0.074,0.071,0.077,11.349,0.162,-0.162,0.622,-0.622 +0.0795,0.077,0.082,10.207,0.164,-0.164,0.603,-0.603 +0.08499999999999999,0.082,0.088,9.571,0.16,-0.16,0.566,-0.566 +0.0931,0.088,0.099,8.671,0.113,-0.113,0.505,-0.505 +0.104,0.099,0.11,7.784,0.114,-0.114,0.44,-0.44 +0.115,0.11,0.121,7.237,0.12,-0.12,0.395,-0.395 +0.131,0.121,0.143,5.746,0.089,-0.089,0.369,-0.369 +0.153,0.143,0.164,3.959,0.102,-0.102,0.381,-0.381 +0.175,0.164,0.186,3.473,0.134,-0.134,0.532,-0.532 +0.197,0.186,0.208,2.739,0.047,-0.047,0.419,-0.419 +0.2189,0.208,0.23,2.452,0.037,-0.037,0.163,-0.163 +0.241,0.23,0.252,1.903,0.03,-0.03,0.063,-0.063 +0.2629,0.252,0.274,1.574,0.027,-0.027,0.036,-0.036 +0.2849,0.274,0.296,1.36,0.024,-0.024,0.026,-0.026 +0.3068,0.296,0.318,1.118,0.022,-0.022,0.02,-0.02 +0.3338,0.318,0.351,0.89,0.016,-0.016,0.017,-0.017 +0.3666,0.351,0.384,0.683,0.014,-0.014,0.016,-0.016 +0.3997,0.384,0.417,0.567,0.013,-0.013,0.015,-0.015 +0.4325,0.417,0.45,0.433,0.012,-0.012,0.014,-0.014 +0.4651,0.45,0.482,0.351,0.011,-0.011,0.012,-0.012 +0.5035,0.482,0.526,0.264,0.008,-0.008,0.01,-0.01 +0.547,0.526,0.57,0.188,0.008,-0.008,0.008,-0.008 +0.6083,0.57,0.658,0.122,0.005,-0.005,0.006,-0.006 +0.7047,0.658,0.768,0.0485,0.0037,-0.0037,0.0027,-0.0027 +0.8383,0.768,1.0,0.0078,0.0022,-0.0022,0.0011,-0.0011 +0.507,0.014,1.0,2.074,0.006,-0.006,0.066,-0.066 + diff --git a/data/rawdata/pion/SLD/HEPData-ins630327-v1-Table_6.csv b/data/rawdata/pion/SLD/HEPData-ins630327-v1-Table_6.csv new file mode 100644 index 000000000..d087aae31 --- /dev/null +++ b/data/rawdata/pion/SLD/HEPData-ins630327-v1-Table_6.csv @@ -0,0 +1,141 @@ +#: table_doi: 10.17182/hepdata.22177.v1/t6 +#: name: Table 6 +#: description: Differential production rates of charged kaons per Z0 decay into light (u,d,s) and c and b quarks. The errors are combined statistical and systematic. + +#: data_file: Table6.yaml +#: keyword reactions: E+ E- --> K- X | E+ E- --> K+ X | E+ E- --> Z0 +#: keyword observables: DN/DX +#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering | Strange production +#: keyword cmenergies: 91.28 +#: RE(Q=K+-),E+ E- --> (K+ + K-) X +#: RE(Q=ZB),E+ E- --> Z0 < BQUARK BQUARKBAR > +#: RE(Q=ZC),E+ E- --> Z0 < CQUARK CQUARKBAR > +#: RE(Q=ZL),E+ E- --> Z0 < LQUARK LQUARKBAR > +#: SQRT(S) [GeV],91.28,, +X(DEF=2*P(P=3)/SQRT(S)),(1/N(Q=ZL))*D(N(Q=K+-))/DX,error +,error - +0.0153,27.05,1.27,-1.27 +0.0191,20.0,0.42,-0.42 +0.0246,19.74,0.4,-0.4 +0.0301,17.52,0.37,-0.37 +0.0356,16.08,0.37,-0.37 +0.0411,15.04,0.34,-0.34 +0.0465,13.54,0.34,-0.34 +0.0521,11.87,0.34,-0.34 +0.0576,11.44,0.33,-0.33 +0.063,10.64,0.3,-0.3 +0.0685,10.24,0.29,-0.29 +0.074,9.67,0.29,-0.29 +0.0795,8.13,0.27,-0.27 +0.085,7.98,0.28,-0.28 +0.0931,7.0,0.19,-0.19 +0.104,6.36,0.19,-0.19 +0.115,5.85,0.2,-0.2 +0.131,4.89,0.15,-0.15 +0.153,3.41,0.17,-0.17 +0.175,2.84,0.22,-0.22 +0.197,2.564,0.082,-0.082 +0.2189,2.401,0.067,-0.067 +0.241,1.973,0.054,-0.054 +0.2629,1.643,0.048,-0.048 +0.2849,1.481,0.044,-0.044 +0.3068,1.211,0.039,-0.039 +0.3338,1.001,0.029,-0.029 +0.3666,0.746,0.025,-0.025 +0.3997,0.666,0.023,-0.023 +0.4325,0.559,0.022,-0.022 +0.4651,0.426,0.02,-0.02 +0.5035,0.363,0.016,-0.016 +0.547,0.261,0.015,-0.015 +0.6083,0.183,0.01,-0.01 +0.7047,0.079,0.007,-0.007 +0.8383,0.008,0.004,-0.004 +-,1.869,0.062,-0.062 + +#: RE(Q=K+-),E+ E- --> (K+ + K-) X +#: RE(Q=ZB),E+ E- --> Z0 < BQUARK BQUARKBAR > +#: RE(Q=ZC),E+ E- --> Z0 < CQUARK CQUARKBAR > +#: RE(Q=ZL),E+ E- --> Z0 < LQUARK LQUARKBAR > +#: SQRT(S) [GeV],91.28,, +X(DEF=2*P(P=3)/SQRT(S)),(1/N(Q=ZC))*D(N(Q=K+-))/DX,error +,error - +0.0153,30.92,3.86,-3.86 +0.0191,22.43,1.37,-1.37 +0.0246,22.04,1.27,-1.27 +0.0301,20.82,1.17,-1.17 +0.0356,16.79,1.15,-1.15 +0.0411,16.68,1.15,-1.15 +0.0465,16.46,1.06,-1.06 +0.0521,15.81,1.08,-1.08 +0.0576,12.62,0.99,-0.99 +0.063,12.24,0.92,-0.92 +0.0685,11.42,0.87,-0.87 +0.074,10.95,0.85,-0.85 +0.0795,10.88,0.84,-0.84 +0.085,9.62,0.81,-0.81 +0.0931,9.84,0.59,-0.59 +0.104,8.08,0.58,-0.58 +0.115,8.98,0.63,-0.63 +0.131,6.59,0.45,-0.45 +0.153,5.5,0.51,-0.51 +0.175,5.12,0.68,-0.68 +0.197,3.85,0.245,-0.245 +0.2189,3.087,0.19,-0.19 +0.241,2.074,0.145,-0.145 +0.2629,1.96,0.132,-0.132 +0.2849,1.681,0.119,-0.119 +0.3068,1.368,0.104,-0.104 +0.3338,1.043,0.076,-0.076 +0.3666,0.874,0.068,-0.068 +0.3997,0.6,0.058,-0.058 +0.4325,0.408,0.05,-0.05 +0.4651,0.408,0.05,-0.05 +0.5035,0.243,0.037,-0.037 +0.547,0.173,0.034,-0.034 +0.6083,0.064,0.02,-0.02 +0.7047,0.009,0.011,-0.011 +0.8383,0.008,0.008,-0.008 +-,2.273,0.093,-0.093 + +#: RE(Q=K+-),E+ E- --> (K+ + K-) X +#: RE(Q=ZB),E+ E- --> Z0 < BQUARK BQUARKBAR > +#: RE(Q=ZC),E+ E- --> Z0 < CQUARK CQUARKBAR > +#: RE(Q=ZL),E+ E- --> Z0 < LQUARK LQUARKBAR > +#: SQRT(S) [GeV],91.28,, +X(DEF=2*P(P=3)/SQRT(S)),(1/N(Q=ZB))*D(N(Q=K+-))/DX,error +,error - +0.0153,30.21,1.99,-1.99 +0.0191,23.06,0.62,-0.62 +0.0246,22.89,0.6,-0.6 +0.0301,21.64,0.55,-0.55 +0.0356,21.36,0.53,-0.53 +0.0411,21.36,0.56,-0.56 +0.0465,19.9,0.57,-0.57 +0.0521,18.91,0.6,-0.6 +0.0576,18.46,0.58,-0.58 +0.063,17.43,0.54,-0.54 +0.0685,16.92,0.53,-0.53 +0.074,15.62,0.52,-0.52 +0.0795,15.11,0.52,-0.52 +0.085,13.18,0.5,-0.5 +0.0931,12.43,0.36,-0.36 +0.104,11.56,0.37,-0.37 +0.115,9.96,0.38,-0.38 +0.131,7.17,0.27,-0.27 +0.153,4.58,0.29,-0.29 +0.175,4.2,0.36,-0.36 +0.197,2.541,0.126,-0.126 +0.2189,2.009,0.096,-0.096 +0.241,1.627,0.078,-0.078 +0.2629,1.116,0.062,-0.062 +0.2849,0.83,0.053,-0.053 +0.3068,0.64,0.045,-0.045 +0.3338,0.452,0.032,-0.032 +0.3666,0.337,0.028,-0.028 +0.3997,0.245,0.024,-0.024 +0.4325,0.149,0.02,-0.02 +0.4651,0.108,0.018,-0.018 +0.5035,0.057,0.012,-0.012 +0.547,0.061,0.013,-0.013 +0.6083,0.012,0.005,-0.005 +0.7047,0.002,0.003,-0.003 +0.8383,-0.001,0.001,-0.001 +-,2.377,0.08,-0.08 + diff --git a/data/rawdata/pion/TASSO12/HEPData-ins153656-v1-Table_3.csv b/data/rawdata/pion/TASSO12/HEPData-ins153656-v1-Table_3.csv new file mode 100644 index 000000000..2db1b1832 --- /dev/null +++ b/data/rawdata/pion/TASSO12/HEPData-ins153656-v1-Table_3.csv @@ -0,0 +1,29 @@ +#: table_doi: 10.17182/hepdata.27192.v1/t3 +#: name: Table 3 +#: description: No description provided. +#: data_file: Table3.yaml +#: keyword reactions: E+ E- --> K- X | E+ E- --> K+ X +#: keyword observables: DSIG/DP | DSIG/DX +#: keyword phrases: Inclusive | Single Differential Cross Section | E+ E- Scattering | Strange production +#: keyword cmenergies: 12.0 +#: RE,E+ E- --> (K+ + K-) X +#: SQRT(S) [GeV],12.0,,,, +P(P=3) [GEV],D(SIG)/DP(P=3) [NB/GEV],error +,error -,"sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY +","sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY -" +0.45,2.2,0.81,-0.81,20.0%,-20.0% +0.55,3.9,1.3,-1.3,20.0%,-20.0% +0.8,3.8,1.7,-1.7,20.0%,-20.0% + +#: RE,E+ E- --> (K+ + K-) X +#: SQRT(S) [GeV],12.0,,,, +P(P=3) [GEV],(S/BETA)*D(SIG)/DX [MUB/GEV**2],error +,error -,"sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY +","sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY -" +0.45,4.2,1.6,-1.6,20.0%,-20.0% +0.55,6.2,2.1,-2.1,20.0%,-20.0% +0.8,4.56,2.0,-2.0,20.0%,-20.0% + +#: RE,E+ E- --> (K+ + K-) X +#: SQRT(S) [GeV],12.0,,,, +P(P=3) [GEV],(E(P=3)/(4*PI*P(P=3)**2))*D(SIG)/DP(P=3),error +,error -,"sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY +","sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY -" +0.45,0.58,0.21,-0.21,20.0%,-20.0% +0.55,0.76,0.25,-0.25,20.0%,-20.0% +0.8,0.45,0.2,-0.2,20.0%,-20.0% + diff --git a/data/rawdata/pion/TASSO14/HEPData-ins181470-v1-Table_2.csv b/data/rawdata/pion/TASSO14/HEPData-ins181470-v1-Table_2.csv new file mode 100644 index 000000000..8ed580f39 --- /dev/null +++ b/data/rawdata/pion/TASSO14/HEPData-ins181470-v1-Table_2.csv @@ -0,0 +1,21 @@ +#: table_doi: 10.17182/hepdata.2143.v1/t2 +#: name: Table 2 +#: description: No description provided. +#: data_file: Table2.yaml +#: keyword reactions: E+ E- --> K- X | E+ E- --> K+ X +#: keyword observables: DSIG/DP +#: keyword phrases: Inclusive | Single Differential Cross Section | E+ E- Scattering | Strange production +#: keyword cmenergies: 14.0 +#: RE,,,E+ E- --> (K+ + K-) X +#: SQRT(S) [GeV],,,14.0,, +P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,D(SIG)/D(P) [NB/GEV],error +,error - +0.35,0.3,0.4,1.04,0.18,-0.18 +0.45,0.4,0.5,1.61,0.19,-0.19 +0.55,0.5,0.6,1.61,0.18,-0.18 +0.6499999999999999,0.6,0.7,1.87,0.27,-0.27 +0.75,0.7,0.8,1.05,0.2,-0.2 +0.9,0.8,1.0,1.42,0.3,-0.3 +1.3,1.0,1.6,0.8,0.29,-0.29 +1.8,1.6,2.0,0.84,0.18,-0.18 +3.8,3.0,4.6,0.06,0.03,-0.03 + diff --git a/data/rawdata/pion/TASSO22/HEPData-ins181470-v1-Table_5.csv b/data/rawdata/pion/TASSO22/HEPData-ins181470-v1-Table_5.csv new file mode 100644 index 000000000..6960daf27 --- /dev/null +++ b/data/rawdata/pion/TASSO22/HEPData-ins181470-v1-Table_5.csv @@ -0,0 +1,22 @@ +#: table_doi: 10.17182/hepdata.2143.v1/t5 +#: name: Table 5 +#: description: No description provided. +#: data_file: Table5.yaml +#: keyword reactions: E+ E- --> K- X | E+ E- --> K+ X +#: keyword observables: DSIG/DP +#: keyword phrases: Inclusive | Single Differential Cross Section | E+ E- Scattering | Strange production +#: keyword cmenergies: 22.0 +#: RE,,,E+ E- --> (K+ + K-) X +#: SQRT(S) [GeV],,,22.0,, +P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,D(SIG)/D(P) [NB/GEV],error +,error - +0.35,0.3,0.4,0.38,0.08,-0.08 +0.45,0.4,0.5,0.54,0.09,-0.09 +0.55,0.5,0.6,0.64,0.1,-0.1 +0.6499999999999999,0.6,0.7,0.72,0.1,-0.1 +0.75,0.7,0.8,0.82,0.11,-0.11 +0.9,0.8,1.0,0.59,0.12,-0.12 +1.3,1.0,1.6,0.39,0.15,-0.15 +1.8,1.6,2.0,0.22,0.09,-0.09 +3.4,3.0,3.8,0.092,0.03,-0.03 +4.199999999999999,3.8,4.6,0.045,0.017,-0.017 + diff --git a/data/rawdata/pion/TASSO30/HEPData-ins153656-v1-Table_6.csv b/data/rawdata/pion/TASSO30/HEPData-ins153656-v1-Table_6.csv new file mode 100644 index 000000000..a3bcd2930 --- /dev/null +++ b/data/rawdata/pion/TASSO30/HEPData-ins153656-v1-Table_6.csv @@ -0,0 +1,35 @@ +#: table_doi: 10.17182/hepdata.27192.v1/t6 +#: name: Table 6 +#: description: No description provided. +#: data_file: Table6.yaml +#: keyword reactions: E+ E- --> K- X | E+ E- --> K+ X +#: keyword observables: DSIG/DP | DSIG/DX +#: keyword phrases: Inclusive | Single Differential Cross Section | E+ E- Scattering | Strange production +#: keyword cmenergies: 30.0 +#: RE,E+ E- --> (K+ + K-) X +#: SQRT(S) [GeV],30.0,,,, +P(P=3) [GEV],D(SIG)/DP(P=3) [NB/GEV],error +,error -,"sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY +","sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY -" +0.45,0.402,0.151,-0.151,20.0%,-20.0% +0.55,0.463,0.243,-0.243,20.0%,-20.0% +0.6,0.92,0.4,-0.4,20.0%,-20.0% +0.8,0.42,0.2,-0.2,20.0%,-20.0% +1.0,0.24,0.14,-0.14,20.0%,-20.0% + +#: RE,E+ E- --> (K+ + K-) X +#: SQRT(S) [GeV],30.0,,,, +P(P=3) [GEV],(S/BETA)*D(SIG)/DX [MUB/GEV**2],error +,error -,"sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY +","sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY -" +0.45,12.3,4.6,-4.6,20.0%,-20.0% +0.55,11.6,6.1,-6.1,20.0%,-20.0% +0.6,21.4,9.7,-9.7,20.0%,-20.0% +0.8,8.0,3.8,-3.8,20.0%,-20.0% +1.0,4.1,2.4,-2.4,20.0%,-20.0% + +#: RE,E+ E- --> (K+ + K-) X +#: SQRT(S) [GeV],30.0,,,, +P(P=3) [GEV],(E(P=3)/(4*PI*P(P=3)**2))*D(SIG)/DP(P=3),error +,error -,"sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY +","sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY -" +0.45,0.106,0.04,-0.04,20.0%,-20.0% +0.55,0.09,0.047,-0.047,20.0%,-20.0% +0.6,0.159,0.069,-0.069,20.0%,-20.0% +0.8,0.049,0.023,-0.023,20.0%,-20.0% +1.0,0.021,0.012,-0.012,20.0%,-20.0% + diff --git a/data/rawdata/pion/TASSO34/HEPData-ins267755-v1-Table_8.csv b/data/rawdata/pion/TASSO34/HEPData-ins267755-v1-Table_8.csv new file mode 100644 index 000000000..146697f1f --- /dev/null +++ b/data/rawdata/pion/TASSO34/HEPData-ins267755-v1-Table_8.csv @@ -0,0 +1,23 @@ +#: table_doi: 10.17182/hepdata.1500.v1/t8 +#: name: Table 8 +#: description: No description provided. +#: data_file: Table8.yaml +#: keyword reactions: E+ E- --> K- X | E+ E- --> K+ X +#: keyword observables: DSIG/DX +#: keyword phrases: Inclusive | Single Differential Cross Section | E+ E- Scattering | Strange production +#: keyword cmenergies: 34.0 +#: RE,,,E+ E- --> (K+ + K-) X +#: SQRT(S) [GeV],,,34.0,,,, +X(DEF=P(P=3)/P(P=1)),X(DEF=P(P=3)/P(P=1)) LOW,X(DEF=P(P=3)/P(P=1)) HIGH,(D(SIG)/D(X))/SIG(NAME=TOTAL),error +,error -,"sys,Overall normalization error +","sys,Overall normalization error -" +0.02,0.0171,0.0229,7.5,0.5,-0.5,6.0%,-6.0% +0.0257,0.0229,0.0286,10.0,0.9,-0.9,6.0%,-6.0% +0.0314,0.0286,0.0343,16.1,1.2,-1.2,6.0%,-6.0% +0.0371,0.0343,0.04,14.9,1.7,-1.7,6.0%,-6.0% +0.0429,0.04,0.0457,13.3,3.0,-3.0,6.0%,-6.0% +0.0514,0.0457,0.0571,12.1,2.8,-2.8,6.0%,-6.0% +0.0726,0.0571,0.0914,10.5,2.3,-2.3,6.0%,-6.0% +0.102,0.0914,0.114,6.3,2.8,-2.8,6.0%,-6.0% +0.191,0.171,0.217,3.57,0.61,-0.61,6.0%,-6.0% +0.271,0.217,0.343,1.75,0.28,-0.28,6.0%,-6.0% +0.73,0.571,0.971,0.05,0.02,-0.02,6.0%,-6.0% + diff --git a/data/rawdata/pion/TASSO44/HEPData-ins267755-v1-Table_11.csv b/data/rawdata/pion/TASSO44/HEPData-ins267755-v1-Table_11.csv new file mode 100644 index 000000000..147088244 --- /dev/null +++ b/data/rawdata/pion/TASSO44/HEPData-ins267755-v1-Table_11.csv @@ -0,0 +1,16 @@ +#: table_doi: 10.17182/hepdata.1500.v1/t11 +#: name: Table 11 +#: description: No description provided. +#: data_file: Table11.yaml +#: keyword reactions: E+ E- --> K- X | E+ E- --> K+ X +#: keyword observables: DSIG/DX +#: keyword phrases: Inclusive | Single Differential Cross Section | E+ E- Scattering | Strange production +#: keyword cmenergies: 44.0 +#: RE,,,E+ E- --> (K+ + K-) X +#: SQRT(S) [GeV],,,44.0,,,, +X(DEF=P(P=3)/P(P=1)),X(DEF=P(P=3)/P(P=1)) LOW,X(DEF=P(P=3)/P(P=1)) HIGH,(D(SIG)/D(X))/SIG(NAME=TOTAL),error +,error -,"sys,Overall normalization error +","sys,Overall normalization error -" +0.0159,0.0136,0.0182,8.8,1.2,-1.2,6.0%,-6.0% +0.0205,0.0182,0.0227,19.8,5.3,-5.3,6.0%,-6.0% +0.025,0.0227,0.0273,21.3,2.6,-2.6,6.0%,-6.0% +0.0295,0.0273,0.0318,23.3,3.1,-3.1,6.0%,-6.0% + diff --git a/data/rawdata/pion/TPC/HEPData-ins262143-v1-Table_1.csv b/data/rawdata/pion/TPC/HEPData-ins262143-v1-Table_1.csv new file mode 100644 index 000000000..4561f3e98 --- /dev/null +++ b/data/rawdata/pion/TPC/HEPData-ins262143-v1-Table_1.csv @@ -0,0 +1,136 @@ +#: table_doi: 10.17182/hepdata.38102.v1/t1,,,,, +#: name: Table 1,,,,, +#: description: No description provided.,,,,, +#: data_file: Table1.yaml,,,,, +#: keyword reactions: E+ E- --> CHGD-HADRONS X | E+ E- --> K- X | E+ E- --> K+ X | E+ E- --> PBAR X | E+ E- --> PI- X | E+ E- --> PI+ X | E+ E- --> P X,,,,, +#: keyword observables: DSIG/DZ,,,,, +#: keyword phrases: Inclusive | Single Differential Cross Section | E+ E- Scattering | Strange production,,,,, +#: keyword cmenergies: 29.0,,,,, +#: RE,,,E+ E- --> (PI+ + PI-) X,, +#: SQRT(S) [GeV],,,29,, +#: SYS,,,Errors contain systematic errors added in quadrature. Statistical errors dominate above Z,, +Z(DEF=P(P=3)/P(P=1)),Z(DEF=P(P=3)/P(P=1)) LOW,Z(DEF=P(P=3)/P(P=1)) HIGH,(1/SIG(C=TOTAL))*D(SIG)/D(Z),error +,error - +0.0125,0.01,0.015,88.4,7.2,-7.2 +0.0175,0.015,0.02,138.3,5.4,-5.4 +0.0225,0.02,0.025,149.5,6.6,-6.6 +0.0275,0.025,0.03,144.2,5,-5 +0.0325,0.03,0.035,130.9,4.1,-4.1 +0.0375,0.035,0.04,112.9,3.5,-3.5 +0.0425,0.04,0.045,104.6,3.2,-3.2 +0.0475,0.045,0.05,93.8,3,-3 +0.0525,0.05,0.055,83.8,2.7,-2.7 +0.0575,0.055,0.06,76,2.5,-2.5 +0.0625,0.06,0.065,68.2,2.6,-2.6 +0.0675,0.065,0.07,60.9,3,-3 +0.0725,0.07,0.075,-,0,0 +0.0775,0.075,0.08,-,0,0 +0.0825,0.08,0.085,-,0,0 +0.0875,0.085,0.09,-,0,0 +0.095,0.09,0.1,36,1.9,-1.9 +0.105,0.1,0.11,29.9,1.5,-1.5 +0.115,0.11,0.12,-,0,0 +0.125,0.12,0.13,-,0,0 +0.135,0.13,0.14,-,0,0 +0.145,0.14,0.15,-,0,0 +0.155,0.15,0.16,-,0,0 +0.17,0.16,0.18,12.48,0.51,-0.51 +0.19,0.18,0.2,10.77,0.45,-0.45 +0.21,0.2,0.22,7.95,0.36,-0.36 +0.235,0.22,0.25,6.13,0.26,-0.26 +0.275,0.25,0.3,4.09,0.14,-0.14 +0.325,0.3,0.35,2.61,0.1,-0.1 +0.375,0.35,0.4,1.581,0.071,-0.071 +0.45,0.4,0.5,0.874,0.038,-0.038 +0.55,0.5,0.6,0.37,0.022,-0.022 +0.65,0.6,0.7,0.19,0.015,-0.015 +0.8,0.7,0.9,0.0466,0.007,-0.007 +,,,,, +#: RE,,,E+ E- --> (K+ + K-) X,, +#: SQRT(S) [GeV],,,29,, +#: SYS,,,Errors contain systematic errors added in quadrature. Statistical errors dominate above Z,, +Z(DEF=P(P=3)/P(P=1)),Z(DEF=P(P=3)/P(P=1)) LOW,Z(DEF=P(P=3)/P(P=1)) HIGH,(1/SIG(C=TOTAL))*D(SIG)/D(Z),error +,error - +0.0275,0.025,0.03,5.56,0.49,-0.49 +0.0325,0.03,0.035,7.21,0.56,-0.56 +0.0375,0.035,0.04,7.6,0.59,-0.59 +0.0425,0.04,0.045,9.3,1.2,-1.2 +0.0475,0.045,0.05,8.55,0.96,-0.96 +0.0525,0.05,0.055,8.73,0.65,-0.65 +0.0575,0.055,0.06,8.48,0.74,-0.74 +0.0625,0.06,0.065,9.2,1.3,-1.3 +0.0675,0.065,0.07,8.8,2.3,-2.3 +0.095,0.09,0.1,5.6,1.5,-1.5 +0.105,0.1,0.11,6.32,0.92,-0.92 +0.115,0.11,0.12,5.13,0.61,-0.61 +0.125,0.12,0.13,5.13,0.49,-0.49 +0.135,0.13,0.14,5,0.38,-0.38 +0.275,0.25,0.3,1.73,0.11,-0.11 +0.325,0.3,0.35,1.161,0.073,-0.073 +0.375,0.35,0.4,0.842,0.055,-0.055 +0.45,0.4,0.5,0.47,0.03,-0.03 +0.55,0.5,0.6,0.249,0.02,-0.02 +0.65,0.6,0.7,0.09,0.012,-0.012 +0.8,0.7,0.9,0.0225,0.0048,-0.0048 +,,,,, +#: RE,,,E+ E- --> (P + PBAR) X,, +#: SQRT(S) [GeV],,,29,, +#: SYS,,,Errors contain systematic errors added in quadrature. Statistical errors dominate above Z,, +Z(DEF=P(P=3)/P(P=1)),Z(DEF=P(P=3)/P(P=1)) LOW,Z(DEF=P(P=3)/P(P=1)) HIGH,(1/SIG(C=TOTAL))*D(SIG)/D(Z),error +,error - +0.0375,0.035,0.04,3.63,0.65,-0.65 +0.0425,0.04,0.045,3.46,0.46,-0.46 +0.0475,0.045,0.05,3.99,0.46,-0.46 +0.0525,0.05,0.055,3.64,0.41,-0.41 +0.0575,0.055,0.06,3.35,0.39,-0.39 +0.0625,0.06,0.065,3.32,0.39,-0.39 +0.0675,0.065,0.07,2.76,0.33,-0.33 +0.0725,0.07,0.075,4,0.48,-0.48 +0.0775,0.075,0.08,3.04,0.58,-0.58 +0.0825,0.08,0.085,3.9,1.2,-1.2 +0.0875,0.085,0.09,3.43,0.57,-0.57 +0.095,0.09,0.1,3.06,0.33,-0.33 +0.105,0.1,0.11,2.69,0.6,-0.6 +0.275,0.25,0.3,0.42,0.1,-0.1 +0.325,0.3,0.35,0.313,0.062,-0.062 +0.375,0.35,0.4,0.222,0.046,-0.046 +0.45,0.4,0.5,0.12,0.022,-0.022 +0.55,0.5,0.6,0.044,0.012,-0.012 +0.65,0.6,0.7,0.0305,0.008,-0.008 +0.8,0.7,0.9,0.0064,0.0023,-0.0023 +,,,,, +#: RE,,,E+ E- --> CHGD-HADRONS X,, +#: SQRT(S) [GeV],,,29,, +#: SYS,,,Errors contain systematic errors added in quadrature. Statistical errors dominate above Z,, +Z(DEF=P(P=3)/P(P=1)),Z(DEF=P(P=3)/P(P=1)) LOW,Z(DEF=P(P=3)/P(P=1)) HIGH,(1/SIG(C=TOTAL))*D(SIG)/D(Z),error +,error - +0.0125,0.01,0.015,91.5,7.4,-7.4 +0.0175,0.015,0.02,144.8,5.6,-5.6 +0.0225,0.02,0.025,157.7,7,-7 +0.0275,0.025,0.03,153.4,5.2,-5.2 +0.0325,0.03,0.035,142.2,4.3,-4.3 +0.0375,0.035,0.04,124.1,3.8,-3.8 +0.0425,0.04,0.045,117.3,3.6,-3.6 +0.0475,0.045,0.05,106.4,3.3,-3.3 +0.0525,0.05,0.055,96.2,3,-3 +0.0575,0.055,0.06,87.8,2.7,-2.7 +0.0625,0.06,0.065,80.7,2.6,-2.6 +0.0675,0.065,0.07,72.5,2.4,-2.4 +0.0725,0.07,0.075,69.2,2.4,-2.4 +0.0775,0.075,0.08,60,2.2,-2.2 +0.0825,0.08,0.085,53.3,2.2,-2.2 +0.0875,0.085,0.09,49.2,1.8,-1.8 +0.095,0.09,0.1,44.6,1.4,-1.4 +0.105,0.1,0.11,39,1.3,-1.3 +0.115,0.11,0.12,33.9,1.3,-1.3 +0.125,0.12,0.13,29.4,1.1,-1.1 +0.135,0.13,0.14,26.1,1,-1 +0.145,0.14,0.15,22.11,0.82,-0.82 +0.155,0.15,0.16,20.44,0.79,-0.79 +0.17,0.16,0.18,17,0.58,-0.58 +0.19,0.18,0.2,14.38,0.58,-0.58 +0.21,0.2,0.22,11.31,0.44,-0.44 +0.235,0.22,0.25,8.96,0.32,-0.32 +0.275,0.25,0.3,6.24,0.18,-0.18 +0.325,0.3,0.35,4.08,0.13,-0.13 +0.375,0.35,0.4,2.644,0.093,-0.093 +0.45,0.4,0.5,1.463,0.049,-0.049 +0.55,0.5,0.6,0.663,0.029,-0.029 +0.65,0.6,0.7,0.31,0.019,-0.019 +0.8,0.7,0.9,0.0755,0.0098,-0.0098 diff --git a/data/rawdata/pion/filter.py b/data/rawdata/pion/filter.py new file mode 100644 index 000000000..86696cf88 --- /dev/null +++ b/data/rawdata/pion/filter.py @@ -0,0 +1,1254 @@ +import sys +import pandas as pd +import yaml +import numpy as np + +mKA = 0.493677 # GeV + +# BELLE - inclusive +def filter_BELLE_KA(): + nameexp = 'BELLE_KA_PLUS_MINUS' + infile = 'BELLE/HEPData-ins1216515-v1-Table_1.csv' + ndata = 78 + cme = 10.52 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=94, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + delta = (data.loc[:,6]+data.loc[:,7])/2. + DELTA = (data.loc[:,6]-data.loc[:,7])/2. + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "BELLE coventional $K^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1.96235e+6} #0.65 * sigmatot(NLO) [fb]', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [u,d,s,c]}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.1f}' % (np.sqrt(data.iloc[i,4]**2. + DELTA.iloc[i]**2. + 2.*delta.iloc[i]**2.)), file=f) + print(' - {label: mult, value: 0.014}', file=f) + print(' value: %7.1f' % (data.iloc[i,3]+delta.iloc[i]), file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# BABAR - conventional inclusive +def filter_BABAR_KA_CONVENTIONAL(): + nameexp = 'BABAR_KA_PLUS_MINUS_CONVENTIONAL' + infile = 'BABAR/HEPData-ins1238276-v1-Table_2.csv' + ndata = 45 + cme = 10.54 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=61, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + skipfooter=49, + engine='python') + + breakdown = pd.read_csv( + 'BABAR/babarbdKA.data', + dtype={"user_ld": float}, + header=None, + sep=',', + usecols=[0,1,2,3,4,5,6,7,8,9]) + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "BABAR coventional $K^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [u,d,s,c]}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+(breakdown.iloc[i,9]/100.*data.iloc[i,3])**2.)), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,2]/100.), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,3]/100.), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,4]/100.), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,6]/100.), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,7]/100.), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,8]/100.), file=f) + print(' - {label: mult, value: 0.0098}', file=f) + print(' value: %7.5f' % (data.iloc[i,3]), file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = np.sqrt(1. + mKA**2./data.iloc[i,0]**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + + + + + + +# BABAR - conventional inclusive (uncorrelated) +def filter_BABAR_KA_CONVENTIONAL_UNCORR(): + nameexp = 'BABAR_KA_PLUS_MINUS_CONVENTIONAL_UNCORR' + infile = 'BABAR/HEPData-ins1238276-v1-Table_2.csv' + ndata = 45 + cme = 10.54 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=61, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + skipfooter=49, + engine='python') + + breakdown = pd.read_csv( + 'BABAR/babarbdKA.data', + dtype={"user_ld": float}, + header=None, + sep=',', + usecols=[0,1,2,3,4,5,6,7,8,9]) + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "BABAR coventional $K^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [u,d,s,c]}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+data.iloc[i,6]**2.)), file=f) + #print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,2]/100.), file=f) + #print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,3]/100.), file=f) + #print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,4]/100.), file=f) + #print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,6]/100.), file=f) + #print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,7]/100.), file=f) + #print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,8]/100.), file=f) + print(' - {label: mult, value: 0.0098}', file=f) + print(' value: %7.5f' % (data.iloc[i,3]), file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = np.sqrt(1. + mKA**2./data.iloc[i,0]**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + + + + + + + + + + + + + + + + + + + + + + + + + + + +# BABAR - prompt inclusive +def filter_BABAR_KA_PROMPT(): + nameexp = 'BABAR_KA_PLUS_MINUS_PROMPT' + infile = 'BABAR/HEPData-ins1238276-v1-Table_1.csv' + ndata = 45 + cme = 10.54 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=61, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + skipfooter=49, + engine='python') + + breakdown = pd.read_csv( + 'BABAR/babarbdKA.data', + dtype={"user_ld": float}, + header=None, + sep=',', + usecols=[0,1,2,3,4,5,6,7,8,9]) + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "BABAR prompt $K^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [u,d,s,c]}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+(breakdown.iloc[i,9]/100.*data.iloc[i,3])**2.)), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,2]/100.), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,3]/100.), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,4]/100.), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,5]/100.), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,7]/100.), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,8]/100.), file=f) + print(' - {label: mult, value: 0.0098}', file=f) + print(' value: %7.5f' % (data.iloc[i,3]), file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = np.sqrt(1. + mKA**2./data.iloc[i,0]**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# TASSO12 - inclusive +def filter_TASSO12_KA(): + nameexp = 'TASSO_12_KA_PLUS_MINUS' + infile = 'TASSO12/HEPData-ins153656-v1-Table_3.csv' + ndata = 3 + cme = 12.00 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=11, + sep=',', + header=None, + usecols=[0,1,2], + skipfooter=14, + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "TASSO12 $K^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (data.iloc[i,2]), file=f) + print(' - {label: mult, value: 0.20}', file=f) + print(' value: ', data.iloc[i,1], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = np.sqrt(1. + mKA**2./data.iloc[i,0]**2.) + print(' - {value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {value: %7.5f}' + % (data.iloc[i,0]) , file=f) + +# TASSO14 - inclusive +def filter_TASSO14_KA(): + nameexp = 'TASSO_14_KA_PLUS_MINUS' + infile = 'TASSO14/HEPData-ins181470-v1-Table_2.csv' + ndata = 9 + cme = 14.00 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=11, + sep=',', + header=None, + usecols=[0,1,2,3,4], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "TASSO14 $K^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ',units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (data.iloc[i,4]), file=f) + print(' - {label: mult, value: 0.085}', file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = np.sqrt(1. + mKA**2./data.iloc[i,0]**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# TASSO22 - inclusive +def filter_TASSO22_KA(): + nameexp = 'TASSO_22_KA_PLUS_MINUS' + infile = 'TASSO22/HEPData-ins181470-v1-Table_5.csv' + ndata = 10 + cme = 22.00 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=11, + sep=',', + header=None, + usecols=[0,1,2,3,4], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "TASSO22 $K^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (data.iloc[i,4]), file=f) + print(' - {label: mult, value: 0.063}', file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = np.sqrt(1. + mKA**2./data.iloc[i,0]**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# TPC - inclusive +def filter_TPC_KA(): + nameexp = 'TPC_KA_PLUS_MINUS' + infile = 'TPC/HEPData-ins262143-v1-Table_1.csv' + ndata = 21 + cme = 29.00 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=51, + sep=',', + header=None, + usecols=[0,1,2,3,4,5], + skipfooter=64, + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "TPC $K^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (data.iloc[i,4]), file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + + for i in range(ndata): + factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mKA**2./cme**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], 1./factor), file=f) + print('- header: {name: "xp"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# TASSO30 - inclusive +def filter_TASSO30_KA(): + nameexp = 'TASSO_30_KA_PLUS_MINUS' + infile = 'TASSO30/HEPData-ins153656-v1-Table_6.csv' + ndata = 5 + cme = 30.00 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=11, + sep=',', + header=None, + usecols=[0,1,2], + skipfooter=18, + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "TASSO30 $K^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (data.iloc[i,2]), file=f) + print(' - {label: mult, value: 0.20}', file=f) + print(' value: ', data.iloc[i,1], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = np.sqrt(1. + mKA**2./data.iloc[i,0]**2.) + print(' - {value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {value: %7.5f}' + % (data.iloc[i,0]) , file=f) + +# TASSO34 - inclusive +def filter_TASSO34_KA(): + nameexp = 'TASSO_34_KA_PLUS_MINUS' + infile = 'TASSO34/HEPData-ins267755-v1-Table_8.csv' + ndata = 11 + cme = 34.00 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=11, + sep=',', + header=None, + usecols=[0,1,2,3,4,5], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "TASSO34 $K^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (data.iloc[i,4]), file=f) + print(' - {label: mult, value: 0.06}', file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + + for i in range(ndata): + factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mKA**2./cme**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], 1./factor), file=f) + print('- header: {name: "xp"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# TASSO44 - inclusive +def filter_TASSO44_KA(): + nameexp = 'TASSO_44_KA_PLUS_MINUS' + infile = 'TASSO44/HEPData-ins267755-v1-Table_11.csv' + ndata = 4 + cme = 44.00 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=11, + sep=',', + header=None, + usecols=[0,1,2,3,4,5], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "TASSO44 $K^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (data.iloc[i,4]), file=f) + print(' - {label: mult, value: 0.06}', file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + + for i in range(ndata): + factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mKA**2./cme**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], 1./factor), file=f) + print('- header: {name: "xp"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# ALEPH - inclusive +def filter_ALEPH_KA(): + nameexp = 'ALEPH_KA_PLUS_MINUS' + infile = 'ALEPH/HEPData-ins382179-v1-Table_2.csv' + ndata = 29 + cme = 91.20 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=11, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "ALEPH $K^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+data.iloc[i,6]**2.)), file=f) + print(' - {label: mult, value: 0.05}', file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + + for i in range(ndata): + factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mKA**2./cme**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], 1./factor), file=f) + print('- header: {name: "xp"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# DELPHI - inclusive +def filter_DELPHI_KA(): + nameexp = 'DELPHI_KA_PLUS_MINUS' + infile = 'DELPHI/HEPData-ins473409-v1-Table_5.csv' + ndata = 23 + cme = 91.20 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=13, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "DELPHI $K^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+data.iloc[i,6]**2.)), file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = np.sqrt(1. + mKA**2./data.iloc[i,0]**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# DELPHI - uds tagged +def filter_DELPHI_KA_UDS(): + nameexp = 'DELPHI_KA_PLUS_MINUS_UDS' + infile = 'DELPHI/HEPData-ins473409-v1-Table_13.csv' + ndata = 23 + cme = 91.20 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=13, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "DELPHI $K^\\\\pm$ Multiplicity uds-tag"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [u,d,s]}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+data.iloc[i,6]**2.)), file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = np.sqrt(1. + mKA**2./data.iloc[i,0]**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# DELPHI - b tagged +def filter_DELPHI_KA_B(): + nameexp = 'DELPHI_KA_PLUS_MINUS_B' + infile = 'DELPHI/HEPData-ins473409-v1-Table_9.csv' + ndata = 23 + cme = 91.20 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=13, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "DELPHI $K^\\\\pm$ Multiplicity b-tag"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [b]}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+data.iloc[i,6]**2.)), file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = np.sqrt(1. + mKA**2./data.iloc[i,0]**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# OPAL - inclusive +def filter_OPAL_KA(): + nameexp = 'OPAL_KA_PLUS_MINUS' + infile = 'OPAL/HEPData-ins372772-v1-Table_2.csv' + ndata = 33 + cme = 91.20 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=12, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "OPAL $K^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+data.iloc[i,6]**2.)), file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = np.sqrt(1. + mKA**2./data.iloc[i,0]**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# SLD - inclusive +def filter_SLD_KA(): + nameexp = 'SLD_KA_PLUS_MINUS' + infile = 'SLD/HEPData-ins630327-v1-Table_3.csv' + ndata = 36 + cme = 91.28 #GeV + zmin = 0.01715 + zmax = 1.0 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=55, + sep=',', + header=None, + skipfooter=1, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "SLD $K^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+data.iloc[i,6]**2.)), file=f) + print(' - {label: mult, value: 0.01}', file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + + for i in range(ndata): + factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mKA**2./cme**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], 1./factor), file=f) + print('- header: {name: "xp"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# SLD - uds tag +def filter_SLD_KA_UDS(): + nameexp = 'SLD_KA_PLUS_MINUS_UDS' + infile = 'SLD/HEPData-ins630327-v1-Table_6.csv' + ndata = 36 + cme = 91.28 #GeV + zmin = 0.01715 + zmax = 1.0 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=15, + sep=',', + header=None, + usecols=[0,1,2,3], + skipfooter=90, + engine='python') + + infile_incl = 'SLD/HEPData-ins630327-v1-Table_3.csv' + data_incl = pd.read_csv( + infile_incl, + dtype={"user_ld": float}, + skiprows=55, + sep=',', + header=None, + skipfooter=1, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "SLD $K^\\\\pm$ Multiplicity uds-tag"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [u,d,s]}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,2]**2.+(data.iloc[i,1]/data_incl.iloc[i,3]*data_incl.iloc[i,6])**2.)), file=f) + print(' - {label: mult, value: 0.01}', file=f) + print(' value: ', data.iloc[i,1], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + + for i in range(ndata): + factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mKA**2./cme**2.) + print(' - {value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,0], 1./factor), file=f) + print('- header: {name: "xp"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {value: %7.5f}' + % (data.iloc[i,0]) , file=f) + +# SLD - c tagged +def filter_SLD_KA_C(): + nameexp = 'SLD_KA_PLUS_MINUS_C' + infile = 'SLD/HEPData-ins630327-v1-Table_6.csv' + ndata = 36 + cme = 91.28#GeV + zmin = 0.01715 + zmax = 1.0 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=59, + sep=',', + header=None, + usecols=[0,1,2,3], + skipfooter=46, + engine='python') + + infile_incl = 'SLD/HEPData-ins630327-v1-Table_3.csv' + data_incl = pd.read_csv( + infile_incl, + dtype={"user_ld": float}, + skiprows=55, + sep=',', + header=None, + skipfooter=1, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "SLD $K^\\\\pm$ Multiplicity c-tag"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [c]}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,2]**2.+(data.iloc[i,1]/data_incl.iloc[i,3]*data_incl.iloc[i,6])**2.)), file=f) + print(' - {label: mult, value: 0.01}', file=f) + print(' value: ', data.iloc[i,1], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + + for i in range(ndata): + factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mKA**2./cme**2.) + print(' - {value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,0], 1./factor), file=f) + print('- header: {name: "xp"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {value: %7.5f}' + % (data.iloc[i,0]) , file=f) + +# SLD - b tagged +def filter_SLD_KA_B(): + nameexp = 'SLD_KA_PLUS_MINUS_B' + infile = 'SLD/HEPData-ins630327-v1-Table_6.csv' + ndata = 36 + cme = 91.28 #GeV + zmin = 0.01715 + zmax = 1.0 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=103, + sep=',', + header=None, + usecols=[0,1,2,3], + skipfooter=2, + engine='python') + + infile_incl = 'SLD/HEPData-ins630327-v1-Table_3.csv' + data_incl = pd.read_csv( + infile_incl, + dtype={"user_ld": float}, + skiprows=55, + sep=',', + header=None, + skipfooter=1, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "SLD $K^\\\\pm$ Multiplicity b-tag"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [b]}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,2]**2.+(data.iloc[i,1]/data_incl.iloc[i,3]*data_incl.iloc[i,6])**2.)), file=f) + print(' - {label: mult, value: 0.01}', file=f) + print(' value: ', data.iloc[i,1], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + + for i in range(ndata): + factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mKA**2./cme**2.) + print(' - {value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,0], 1./factor), file=f) + print('- header: {name: "xp"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {value: %7.5f}' + % (data.iloc[i,0]) , file=f) + +# COMPASS - SIDIS, pi+ +def filter_COMPASS_PI_PLUS(): + nameexp = 'COMPASS_PI_PLUS' + infile = 'COMPASS/HEPData-ins1444985-v1-Table_1.csv' + ndata = 311 + cme = 17.34 #GeV + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=14, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "COMPASS $\pi^+$ Multiplicities"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIDIS}', file=f) + print(' - {name: observable, value: dsigma/dxdydz}', file=f) + print(' - {name: target_isoscalarity, value: 0.5}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: Q, low: 1, high: 7.745966692414834, integrate: true}', file=f) + print(' - {name: x, low: 0.004, high: 0.4, integrate: true}', file=f) + print(' - {name: z, low: 0.2, high: 0.85, integrate: true}', file=f) + print(' - {name: PS_reduction, W: 5, ymin: 0.1, ymax: 0.7}', file=f) + print(' - {name: hadron, value: PI}', file=f) + print(' - {name: charge, value: 1}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,11]**2+(0.6*data.iloc[i,13])**2)), file=f) + print(' - {label: add, value: %7.5f}' % (0.8*data.iloc[i,13]/data.iloc[i,10]), file=f) + print(' value: ', data.iloc[i,10], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,9], data.iloc[i,8], data.iloc[i,7]), file=f) + print('- header: {name: "x"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + print('- header: {name: "y"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,5], data.iloc[i,4], data.iloc[i,3]) , file=f) + print('- header: {name: "Q2"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {value: %7.5f}' + % (data.iloc[i,6]) , file=f) + +# COMPASS - SIDIS, pi- +def filter_COMPASS_PI_MINUS(): + nameexp = 'COMPASS_PI_MINUS' + infile = 'COMPASS/HEPData-ins1444985-v1-Table_2.csv' + ndata = 311 + cme = 17.34 #GeV + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=14, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "COMPASS $\pi^-$ Multiplicities"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIDIS}', file=f) + print(' - {name: observable, value: dsigma/dxdydz}', file=f) + print(' - {name: target_isoscalarity, value: 0.5}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: Q, low: 1, high: 7.745966692414834, integrate: true}', file=f) + print(' - {name: x, low: 0.004, high: 0.4, integrate: true}', file=f) + print(' - {name: z, low: 0.2, high: 0.85, integrate: true}', file=f) + print(' - {name: PS_reduction, W: 5, ymin: 0.1, ymax: 0.7}', file=f) + print(' - {name: hadron, value: PI}', file=f) + print(' - {name: charge, value: -1}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,11]**2+(0.6*data.iloc[i,13])**2)), file=f) + print(' - {label: add, value: %7.5f}' % (0.8*data.iloc[i,13]/data.iloc[i,10]), file=f) + print(' value: ', data.iloc[i,10], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,9], data.iloc[i,8], data.iloc[i,7]), file=f) + print('- header: {name: "x"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + print('- header: {name: "y"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,5], data.iloc[i,4], data.iloc[i,3]) , file=f) + print('- header: {name: "Q2"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {value: %7.5f}' + % (data.iloc[i,6]) , file=f) + +# Filter data +#filter_BELLE_KA() +#filter_BABAR_KA_CONVENTIONAL() +#filter_BABAR_KA_CONVENTIONAL_UNCORR() +#filter_BABAR_KA_PROMPT() +#filter_TASSO12_KA() +#filter_TASSO14_KA() +#filter_TASSO22_KA() +#filter_TPC_KA() +#filter_TASSO30_KA() +#filter_TASSO34_KA() +#filter_TASSO44_KA() +#filter_ALEPH_KA() +#filter_DELPHI_KA() +#filter_DELPHI_KA_UDS() +#filter_DELPHI_KA_B() +#filter_OPAL_KA() +#filter_SLD_KA() +#filter_SLD_KA_UDS() +#filter_SLD_KA_C() +#filter_SLD_KA_B() +filter_COMPASS_PI_PLUS() +filter_COMPASS_PI_MINUS() diff --git a/data/rawdata/proton/.~lock.ALEPH_PR_PLUS_MINUS.yaml# b/data/rawdata/proton/.~lock.ALEPH_PR_PLUS_MINUS.yaml# new file mode 100644 index 000000000..95c4aa675 --- /dev/null +++ b/data/rawdata/proton/.~lock.ALEPH_PR_PLUS_MINUS.yaml# @@ -0,0 +1 @@ +,enocera,enocera-IdeaPad-5-15ARE05,13.07.2021 19:22,file:///home/enocera/.config/libreoffice/4; \ No newline at end of file diff --git a/data/rawdata/proton/.~lock.DELPHI_PR_PLUS_MINUS.yaml# b/data/rawdata/proton/.~lock.DELPHI_PR_PLUS_MINUS.yaml# new file mode 100644 index 000000000..95c4aa675 --- /dev/null +++ b/data/rawdata/proton/.~lock.DELPHI_PR_PLUS_MINUS.yaml# @@ -0,0 +1 @@ +,enocera,enocera-IdeaPad-5-15ARE05,13.07.2021 19:22,file:///home/enocera/.config/libreoffice/4; \ No newline at end of file diff --git a/data/rawdata/proton/.~lock.DELPHI_PR_PLUS_MINUS_B.yaml# b/data/rawdata/proton/.~lock.DELPHI_PR_PLUS_MINUS_B.yaml# new file mode 100644 index 000000000..95c4aa675 --- /dev/null +++ b/data/rawdata/proton/.~lock.DELPHI_PR_PLUS_MINUS_B.yaml# @@ -0,0 +1 @@ +,enocera,enocera-IdeaPad-5-15ARE05,13.07.2021 19:22,file:///home/enocera/.config/libreoffice/4; \ No newline at end of file diff --git a/data/rawdata/proton/.~lock.DELPHI_PR_PLUS_MINUS_UDS.yaml# b/data/rawdata/proton/.~lock.DELPHI_PR_PLUS_MINUS_UDS.yaml# new file mode 100644 index 000000000..95c4aa675 --- /dev/null +++ b/data/rawdata/proton/.~lock.DELPHI_PR_PLUS_MINUS_UDS.yaml# @@ -0,0 +1 @@ +,enocera,enocera-IdeaPad-5-15ARE05,13.07.2021 19:22,file:///home/enocera/.config/libreoffice/4; \ No newline at end of file diff --git a/data/rawdata/proton/.~lock.OPAL_PR_PLUS_MINUS.yaml# b/data/rawdata/proton/.~lock.OPAL_PR_PLUS_MINUS.yaml# new file mode 100644 index 000000000..95c4aa675 --- /dev/null +++ b/data/rawdata/proton/.~lock.OPAL_PR_PLUS_MINUS.yaml# @@ -0,0 +1 @@ +,enocera,enocera-IdeaPad-5-15ARE05,13.07.2021 19:22,file:///home/enocera/.config/libreoffice/4; \ No newline at end of file diff --git a/data/rawdata/proton/.~lock.SLD_PR_PLUS_MINUS.yaml# b/data/rawdata/proton/.~lock.SLD_PR_PLUS_MINUS.yaml# new file mode 100644 index 000000000..95c4aa675 --- /dev/null +++ b/data/rawdata/proton/.~lock.SLD_PR_PLUS_MINUS.yaml# @@ -0,0 +1 @@ +,enocera,enocera-IdeaPad-5-15ARE05,13.07.2021 19:22,file:///home/enocera/.config/libreoffice/4; \ No newline at end of file diff --git a/data/rawdata/proton/.~lock.SLD_PR_PLUS_MINUS_B.yaml# b/data/rawdata/proton/.~lock.SLD_PR_PLUS_MINUS_B.yaml# new file mode 100644 index 000000000..95c4aa675 --- /dev/null +++ b/data/rawdata/proton/.~lock.SLD_PR_PLUS_MINUS_B.yaml# @@ -0,0 +1 @@ +,enocera,enocera-IdeaPad-5-15ARE05,13.07.2021 19:22,file:///home/enocera/.config/libreoffice/4; \ No newline at end of file diff --git a/data/rawdata/proton/.~lock.SLD_PR_PLUS_MINUS_UDS.yaml# b/data/rawdata/proton/.~lock.SLD_PR_PLUS_MINUS_UDS.yaml# new file mode 100644 index 000000000..95c4aa675 --- /dev/null +++ b/data/rawdata/proton/.~lock.SLD_PR_PLUS_MINUS_UDS.yaml# @@ -0,0 +1 @@ +,enocera,enocera-IdeaPad-5-15ARE05,13.07.2021 19:22,file:///home/enocera/.config/libreoffice/4; \ No newline at end of file diff --git a/data/rawdata/proton/ALEPH/HEPData-ins382179-v1-Table_3.csv b/data/rawdata/proton/ALEPH/HEPData-ins382179-v1-Table_3.csv new file mode 100644 index 000000000..e83f40dc5 --- /dev/null +++ b/data/rawdata/proton/ALEPH/HEPData-ins382179-v1-Table_3.csv @@ -0,0 +1,38 @@ +#: table_doi: 10.17182/hepdata.48315.v1/t3 +#: name: Table 3 +#: description: No description provided. +#: data_file: Table3.yaml +#: keyword reactions: E+ E- --> HADRONS | E+ E- --> PBAR X | E+ E- --> P X +#: keyword observables: DSIG/DZ +#: keyword phrases: Exclusive | Inclusive | Single Differential Cross Section | E+ E- Scattering +#: keyword cmenergies: 0.216 +#: RE,,,E+ E- --> (P + PBAR) X +#: SQRT(S) [GeV],,,0.216 +Z(DEF=P(P=1)/P(P=3)),Z(DEF=P(P=1)/P(P=3)) LOW,Z(DEF=P(P=1)/P(P=3)) HIGH,(1/SIG) D(SIG)/DZ,stat +,stat -,sys +,sys - +0.010499999999999999,0.01,0.011,8.32,0.35,-0.35,0.0,-0.0 +0.0115,0.011,0.012,8.95,0.36,-0.36,0.0,-0.0 +0.0125,0.012,0.013,9.8,0.36,-0.36,0.01,-0.01 +0.0135,0.013,0.014,10.3,0.38,-0.38,0.01,-0.01 +0.0147,0.014,0.016,10.7,0.26,-0.26,0.01,-0.01 +0.0167,0.016,0.018,11.58,0.27,-0.27,0.04,-0.04 +0.0247,0.024,0.026,12.37,0.18,-0.18,0.23,-0.23 +0.0268,0.026,0.028,12.46,0.18,-0.18,0.44,-0.44 +0.0719,0.07,0.075,5.315,0.216,-0.216,0.876,-0.876 +0.0769,0.075,0.08,5.008,0.183,-0.183,0.639,-0.639 +0.0819,0.08,0.085,4.445,0.162,-0.162,0.549,-0.549 +0.087,0.085,0.09,4.555,0.154,-0.154,0.474,-0.474 +0.0942,0.09,0.1,3.742,0.092,-0.092,0.355,-0.355 +0.104,0.1,0.11,3.355,0.084,-0.084,0.292,-0.292 +0.114,0.11,0.12,2.905,0.077,-0.077,0.232,-0.232 +0.124,0.12,0.13,2.653,0.072,-0.072,0.205,-0.205 +0.134,0.13,0.14,2.371,0.068,-0.068,0.178,-0.178 +0.144,0.14,0.15,2.137,0.064,-0.064,0.162,-0.162 +0.154,0.15,0.16,1.878,0.061,-0.061,0.146,-0.146 +0.169,0.16,0.18,1.696,0.041,-0.041,0.118,-0.118 +0.189,0.18,0.2,1.299,0.036,-0.036,0.099,-0.099 +0.222,0.2,0.25,0.966,0.02,-0.02,0.073,-0.073 +0.272,0.25,0.3,0.614,0.017,-0.017,0.054,-0.054 +0.342,0.3,0.4,0.305,0.009,-0.009,0.031,-0.031 +0.476,0.4,0.6,0.0784,0.0034,-0.0034,0.011,-0.011 +0.674,0.6,0.8,0.0054,0.0011,-0.0011,0.0022,-0.0022 + diff --git a/data/rawdata/proton/BABAR/HEPData-ins1238276-v1-Table_1.csv b/data/rawdata/proton/BABAR/HEPData-ins1238276-v1-Table_1.csv new file mode 100644 index 000000000..0d8a5f280 --- /dev/null +++ b/data/rawdata/proton/BABAR/HEPData-ins1238276-v1-Table_1.csv @@ -0,0 +1,156 @@ +#: table_doi: 10.17182/hepdata.62088.v1/t1 +#: name: Table 1 +#: description: Differential cross section for prompt PI+-, K+- and PBAR/P production. + +#: data_file: Table1.yaml +#: keyword reactions: E+ E- --> PI+ X | E+ E- --> PI- X | E+ E- --> K+ X | E+ E- --> K+ X | E+ E- --> PBAR X | E+ E- --> P X +#: keyword observables: DN/DP +#: keyword phrases: Inclusive | Single Differential Distribution | E+ E- Scattering | Strange production +#: keyword cmenergies: 10.54 +#: RE,,,E+ E- --> (PI+ + PI-) X +#: SQRT(S) [GeV],,,10.54 +"P(P=3,RF=CM) [GEV]","P(P=3,RF=CM) [GEV] LOW","P(P=3,RF=CM) [GEV] HIGH","(1/Nevt)*D(N)/DP(P=3,RF=CM)",stat +,stat -,sys +,sys -,"sys,normalization uncertainty +","sys,normalization uncertainty -" +0.225,0.2,0.25,8.01,0.02,-0.02,0.22,-0.22,0.98%,-0.98% +0.275,0.25,0.3,8.25,0.01,-0.01,0.21,-0.21,0.98%,-0.98% +0.32499999999999996,0.3,0.35,8.04,0.01,-0.01,0.17,-0.17,0.98%,-0.98% +0.375,0.35,0.4,7.52,0.01,-0.01,0.14,-0.14,0.98%,-0.98% +0.42500000000000004,0.4,0.45,6.93,0.01,-0.01,0.11,-0.11,0.98%,-0.98% +0.475,0.45,0.5,6.36,0.01,-0.01,0.1,-0.1,0.98%,-0.98% +0.525,0.5,0.55,5.78,0.01,-0.01,0.08,-0.08,0.98%,-0.98% +0.575,0.55,0.6,5.21,0.01,-0.01,0.07,-0.07,0.98%,-0.98% 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+ diff --git a/data/rawdata/proton/BABAR/HEPData-ins1238276-v1-Table_2.csv b/data/rawdata/proton/BABAR/HEPData-ins1238276-v1-Table_2.csv new file mode 100644 index 000000000..fb12ea2c6 --- /dev/null +++ b/data/rawdata/proton/BABAR/HEPData-ins1238276-v1-Table_2.csv @@ -0,0 +1,156 @@ +#: table_doi: 10.17182/hepdata.62088.v1/t2 +#: name: Table 2 +#: description: Differential cross section for conventional PI+-, K+- and PBAR/P production. + +#: data_file: Table2.yaml +#: keyword reactions: E+ E- --> PI+ X | E+ E- --> PI- X | E+ E- --> K+ X | E+ E- --> K+ X | E+ E- --> PBAR X | E+ E- --> P X +#: keyword observables: DN/DP +#: keyword phrases: Inclusive | Single Differential Distribution | E+ E- Scattering | Strange production +#: keyword cmenergies: 10.54 +#: RE,,,E+ E- --> (PI+ + PI-) X +#: SQRT(S) [GeV],,,10.54 +"P(P=3,RF=CM) [GEV]","P(P=3,RF=CM) [GEV] LOW","P(P=3,RF=CM) [GEV] HIGH","(1/Nevt)*D(N)/DP(P=3,RF=CM)",stat +,stat -,sys +,sys -,"sys,normalization uncertainty 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--git a/data/rawdata/proton/DELPHI/HEPData-ins473409-v1-Table_10.csv b/data/rawdata/proton/DELPHI/HEPData-ins473409-v1-Table_10.csv new file mode 100644 index 000000000..f561bbbd2 --- /dev/null +++ b/data/rawdata/proton/DELPHI/HEPData-ins473409-v1-Table_10.csv @@ -0,0 +1,37 @@ +#: table_doi: 10.17182/hepdata.49385.v1/t10 +#: name: Table 10 +#: description: Normalised P PBAR production rates in Z0-->B-BBAR events. + +#: data_file: Table10.yaml +#: keyword reactions: E+ E- --> PBAR X | E+ E- --> P X | E+ E- --> Z0 +#: keyword observables: DN/DP +#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering +#: keyword cmenergies: 91.2 +#: RE,,,E+ E- --> (P + PBAR) X +#: RE(Q=TOT),,,E+ E- --> CHARGED X +#: SQRT(S) [GeV],,,91.2,,,, +P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,(D(N)/DP)/(D(N(Q=TOT))/DP) [PCT],stat +,stat -,sys +,sys - +0.8049999999999999,0.7,0.91,3.65,0.84,-0.84,0.78,-0.78 +1.025,0.91,1.14,4.2,0.81,-0.81,0.68,-0.68 +1.255,1.14,1.37,3.99,1.06,-1.06,0.82,-0.82 +1.485,1.37,1.6,4.94,0.96,-0.96,0.54,-0.54 +1.71,1.6,1.82,5.36,0.86,-0.86,0.58,-0.58 +2.05,1.82,2.28,6.0,0.88,-0.88,0.65,-0.65 +2.51,2.28,2.74,5.06,0.82,-0.82,0.74,-0.74 +2.965,2.74,3.19,4.78,0.59,-0.59,0.57,-0.57 +3.42,3.19,3.65,4.96,0.65,-0.65,0.59,-0.59 +3.875,3.65,4.1,5.54,0.78,-0.78,0.68,-0.68 +4.33,4.1,4.56,5.6,0.99,-0.99,0.87,-0.87 +5.015,4.56,5.47,7.11,0.91,-0.91,0.68,-0.68 +5.925,5.47,6.38,9.16,1.69,-1.69,1.21,-1.21 +6.835,6.38,7.29,10.34,3.1,-3.1,1.2,-1.2 +7.75,7.29,8.21,11.5,5.13,-5.13,2.42,-2.42 +8.665,8.21,9.12,11.38,3.32,-3.32,1.72,-1.72 +10.485,9.12,11.85,10.88,1.64,-1.64,1.25,-1.25 +12.765,11.85,13.68,10.43,1.49,-1.49,0.94,-0.94 +15.959999999999999,13.68,18.24,7.87,1.11,-1.11,0.71,-0.71 +20.52,18.24,22.8,5.71,1.34,-1.34,0.91,-0.91 +25.08,22.8,27.36,4.72,2.05,-2.05,1.15,-1.15 +31.915,27.36,36.47,4.08,5.28,-5.28,3.7,-3.7 +40.735,36.47,45.0,29.72,137.3,-137.3,113.0,-113.0 + diff --git a/data/rawdata/proton/DELPHI/HEPData-ins473409-v1-Table_14.csv b/data/rawdata/proton/DELPHI/HEPData-ins473409-v1-Table_14.csv new file mode 100644 index 000000000..113b89908 --- /dev/null +++ b/data/rawdata/proton/DELPHI/HEPData-ins473409-v1-Table_14.csv @@ -0,0 +1,37 @@ +#: table_doi: 10.17182/hepdata.49385.v1/t14 +#: name: Table 14 +#: description: Normalised P PBAR production rates in Z0-->(U-UBAR,D-DBAR,S-SBAR) events. + +#: data_file: Table14.yaml +#: keyword reactions: E+ E- --> PBAR X | E+ E- --> P X | E+ E- --> Z0 +#: keyword observables: DN/DP +#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering +#: keyword cmenergies: 91.2 +#: RE,,,E+ E- --> (P + PBAR) X +#: RE(Q=TOT),,,E+ E- --> CHARGED X +#: SQRT(S) [GeV],,,91.2,,,, +P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,(D(N)/DP)/(D(N(Q=TOT))/DP) [PCT],stat +,stat -,sys +,sys - +0.8049999999999999,0.7,0.91,4.3,1.06,-1.06,1.04,-1.04 +1.025,0.91,1.14,5.1,1.06,-1.06,1.0,-1.0 +1.255,1.14,1.37,5.02,1.05,-1.05,0.93,-0.93 +1.485,1.37,1.6,6.4,0.89,-0.89,0.71,-0.71 +1.71,1.6,1.82,7.13,0.96,-0.96,0.85,-0.85 +2.05,1.82,2.28,8.4,0.88,-0.88,0.76,-0.76 +2.51,2.28,2.74,7.45,0.91,-0.91,0.86,-0.86 +2.965,2.74,3.19,7.17,0.79,-0.79,0.78,-0.78 +3.42,3.19,3.65,7.62,0.78,-0.78,0.73,-0.73 +3.875,3.65,4.1,8.31,1.03,-1.03,0.98,-0.98 +4.33,4.1,4.56,7.99,1.17,-1.17,1.1,-1.1 +5.015,4.56,5.47,9.11,0.9,-0.9,0.81,-0.81 +5.925,5.47,6.38,9.91,1.42,-1.42,1.25,-1.25 +6.835,6.38,7.29,10.0,1.92,-1.92,1.47,-1.47 +7.75,7.29,8.21,10.55,2.48,-2.48,1.57,-1.57 +8.665,8.21,9.12,10.41,2.09,-2.09,1.61,-1.61 +10.485,9.12,11.85,10.22,1.18,-1.18,1.07,-1.07 +12.765,11.85,13.68,10.84,1.4,-1.4,1.27,-1.27 +15.959999999999999,13.68,18.24,9.74,1.15,-1.15,1.03,-1.03 +20.52,18.24,22.8,9.7,1.71,-1.71,1.57,-1.57 +25.08,22.8,27.36,8.74,2.03,-2.03,1.71,-1.71 +31.915,27.36,36.47,6.76,2.71,-2.71,2.09,-2.09 +40.735,36.47,45.0,8.17,5.93,-5.93,4.2,-4.2 + diff --git a/data/rawdata/proton/DELPHI/HEPData-ins473409-v1-Table_6.csv b/data/rawdata/proton/DELPHI/HEPData-ins473409-v1-Table_6.csv new file mode 100644 index 000000000..671e31caf --- /dev/null +++ b/data/rawdata/proton/DELPHI/HEPData-ins473409-v1-Table_6.csv @@ -0,0 +1,37 @@ +#: table_doi: 10.17182/hepdata.49385.v1/t6 +#: name: Table 6 +#: description: Normalised P PBAR production rates in Z0-->Q-QBAR events. + +#: data_file: Table6.yaml +#: keyword reactions: E+ E- --> PBAR X | E+ E- --> P X | E+ E- --> Z0 +#: keyword observables: DN/DP +#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering +#: keyword cmenergies: 91.2 +#: RE,,,E+ E- --> (P + PBAR) X +#: RE(Q=TOT),,,E+ E- --> CHARGED X +#: SQRT(S) [GeV],,,91.2,,,, +P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,(D(N)/DP)/(D(N(Q=TOT))/DP) [PCT],stat +,stat -,sys +,sys - +0.8049999999999999,0.7,0.91,4.11,0.93,-0.93,0.92,-0.92 +1.025,0.91,1.14,4.85,0.87,-0.87,0.84,-0.84 +1.255,1.14,1.37,4.71,0.9,-0.9,0.82,-0.82 +1.485,1.37,1.6,5.97,0.79,-0.79,0.67,-0.67 +1.71,1.6,1.82,6.61,0.79,-0.79,0.7,-0.7 +2.05,1.82,2.28,7.68,0.77,-0.77,0.69,-0.69 +2.51,2.28,2.74,6.73,0.79,-0.79,0.75,-0.75 +2.965,2.74,3.19,6.46,0.68,-0.68,0.66,-0.66 +3.42,3.19,3.65,6.83,0.67,-0.67,0.63,-0.63 +3.875,3.65,4.1,7.46,0.89,-0.89,0.85,-0.85 +4.33,4.1,4.56,7.23,0.96,-0.96,0.91,-0.91 +5.015,4.56,5.47,8.37,0.82,-0.82,0.77,-0.77 +5.925,5.47,6.38,9.4,1.21,-1.21,1.09,-1.09 +6.835,6.38,7.29,9.7,1.64,-1.64,1.29,-1.29 +7.75,7.29,8.21,10.37,2.29,-2.29,1.67,-1.67 +8.665,8.21,9.12,10.3,1.88,-1.88,1.54,-1.54 +10.485,9.12,11.85,10.12,1.12,-1.12,1.04,-1.04 +12.765,11.85,13.68,10.75,1.24,-1.24,1.14,-1.14 +15.959999999999999,13.68,18.24,9.71,1.04,-1.04,0.95,-0.95 +20.52,18.24,22.8,9.54,1.68,-1.68,1.58,-1.58 +25.08,22.8,27.36,8.72,2.11,-2.11,1.88,-1.88 +31.915,27.36,36.47,7.0,3.16,-3.16,2.72,-2.72 +40.735,36.47,45.0,8.68,6.69,-6.69,5.16,-5.16 + diff --git a/data/rawdata/proton/OPAL/HEPData-ins372772-v1-Table_3.csv b/data/rawdata/proton/OPAL/HEPData-ins372772-v1-Table_3.csv new file mode 100644 index 000000000..5dba103b7 --- /dev/null +++ b/data/rawdata/proton/OPAL/HEPData-ins372772-v1-Table_3.csv @@ -0,0 +1,50 @@ +#: table_doi: 10.17182/hepdata.48259.v1/t3 +#: name: Table 3 +#: description: Normalised momentum distribution for proton / antiproton production. + +#: data_file: Table3.yaml +#: keyword reactions: E+ E- --> PBAR X | E+ E- --> P X | E+ E- --> Z0 +#: keyword observables: DSIG/DP +#: keyword phrases: Inclusive | Exclusive | Single Differential Cross Section | E+ E- Scattering +#: keyword cmenergies: 91.2 +#: RE,,,E+ E- --> (P + PBAR) X +#: SQRT(S) [GeV],,,91.2,,,, +P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,(1/SIG(C=HAD))*D(SIG)/DP [GEV**-1],stat +,stat -,sys +,sys - +0.414,0.406,0.421,0.169,0.01,-0.01,0.013,-0.013 +0.429,0.421,0.438,0.174,0.009,-0.009,0.015,-0.015 +0.447,0.438,0.456,0.171,0.009,-0.009,0.012,-0.012 +0.465,0.456,0.475,0.185,0.008,-0.008,0.015,-0.015 +0.485,0.475,0.495,0.181,0.008,-0.008,0.006,-0.006 +0.506,0.495,0.517,0.202,0.008,-0.008,0.01,-0.01 +0.529,0.517,0.541,0.215,0.008,-0.008,0.012,-0.012 +0.5529999999999999,0.541,0.565,0.228,0.008,-0.008,0.014,-0.014 +0.579,0.565,0.592,0.23,0.008,-0.008,0.01,-0.01 +0.606,0.592,0.62,0.23,0.008,-0.008,0.007,-0.007 +0.635,0.62,0.65,0.236,0.007,-0.007,0.012,-0.012 +0.665,0.65,0.681,0.239,0.007,-0.007,0.008,-0.008 +0.698,0.681,0.714,0.246,0.007,-0.007,0.006,-0.006 +0.732,0.714,0.75,0.248,0.007,-0.007,0.009,-0.009 +0.768,0.75,0.787,0.248,0.004,-0.004,0.009,-0.009 +0.806,0.787,0.826,0.254,0.004,-0.004,0.008,-0.008 +0.846,0.826,0.867,0.26,0.004,-0.004,0.007,-0.007 +0.889,0.867,0.911,0.26,0.004,-0.004,0.007,-0.007 +0.933,0.911,0.957,0.257,0.004,-0.004,0.006,-0.006 +0.98,0.957,1.005,0.263,0.004,-0.004,0.007,-0.007 +1.03,1.005,1.056,0.257,0.004,-0.004,0.021,-0.021 +1.082,1.056,1.109,0.256,0.004,-0.004,0.027,-0.027 +1.137,1.109,1.166,0.257,0.004,-0.004,0.029,-0.029 +1.195,1.166,1.225,0.248,0.004,-0.004,0.027,-0.027 +1.256,1.225,1.287,0.241,0.004,-0.004,0.017,-0.017 +1.3199999999999998,1.287,1.353,0.25,0.004,-0.004,0.016,-0.016 +1.387,1.353,1.422,0.245,0.004,-0.004,0.021,-0.021 +4.47,4.05,4.95,0.0606,0.0036,-0.0036,0.0129,-0.0129 +5.46,4.95,6.04,0.0517,0.0029,-0.0029,0.0062,-0.0062 +6.67,6.04,7.38,0.0352,0.0011,-0.0011,0.0031,-0.0031 +8.14,7.38,9.01,0.0214,0.0011,-0.0011,0.0023,-0.0023 +9.94,9.01,11.01,0.0152,0.0006,-0.0006,0.0021,-0.0021 +12.12,11.01,13.44,0.0093,0.0004,-0.0004,0.0013,-0.0013 +14.8,13.44,16.42,0.0045,0.0003,-0.0003,0.0006,-0.0006 +18.05,16.42,20.05,0.0015,0.0002,-0.0002,0.0005,-0.0005 +23.78,20.05,29.9,0.00056,5e-05,-5e-05,0.00014,-0.00014 +33.92,29.9,45.6,1.5e-05,4e-06,-4e-06,2.6e-05,-2.6e-05 + diff --git a/data/rawdata/proton/SLD/HEPData-ins630327-v1-Table_4.csv b/data/rawdata/proton/SLD/HEPData-ins630327-v1-Table_4.csv new file mode 100644 index 000000000..120cf535e --- /dev/null +++ b/data/rawdata/proton/SLD/HEPData-ins630327-v1-Table_4.csv @@ -0,0 +1,93 @@ +#: table_doi: 10.17182/hepdata.22177.v1/t4 +#: name: Table 4 +#: description: The proton plus antiproton fraction and differential production rate per hadronic Z0 decay. + +#: data_file: Table4.yaml +#: keyword reactions: E+ E- --> PBAR X | E+ E- --> P X | E+ E- --> Z0 +#: keyword observables: DN/DX | N +#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering +#: keyword cmenergies: 91.28 +#: RE(Q=PPBAR),,,E+ E- --> (P + PBAR) X +#: RE(Q=Z0),,,E+ E- --> Z0 < HADRONS > +#: SQRT(S) [GeV],,,91.28,,,, +X(DEF=2*P(P=3)/SQRT(S)),X(DEF=2*P(P=3)/SQRT(S)) LOW,X(DEF=2*P(P=3)/SQRT(S)) HIGH,N(Q=PPBAR)/N(Q=Z0),stat +,stat -,sys +,sys - +0.0153,0.014,0.016,0.036,0.001,-0.001,0.013,-0.013 +0.0191,0.016,0.022,0.052,0.001,-0.001,0.008,-0.008 +0.0246,0.022,0.027,0.052,0.001,-0.001,0.009,-0.009 +0.0301,0.027,0.033,0.052,0.001,-0.001,0.006,-0.006 +0.0356,0.033,0.038,0.06,0.001,-0.001,0.003,-0.003 +0.0411,0.038,0.044,0.06,0.001,-0.001,0.002,-0.002 +0.0465,0.044,0.049,0.06,0.001,-0.001,0.002,-0.002 +0.0521,0.049,0.055,0.066,0.001,-0.001,0.003,-0.003 +0.0576,0.055,0.06,0.068,0.001,-0.001,0.003,-0.003 +0.063,0.06,0.066,0.067,0.001,-0.001,0.003,-0.003 +0.0685,0.066,0.071,0.07,0.001,-0.001,0.003,-0.003 +0.074,0.071,0.077,0.073,0.002,-0.002,0.003,-0.003 +0.0795,0.077,0.082,0.069,0.002,-0.002,0.004,-0.004 +0.08499999999999999,0.082,0.088,0.074,0.002,-0.002,0.005,-0.005 +0.0931,0.088,0.099,0.076,0.002,-0.002,0.006,-0.006 +0.104,0.099,0.11,0.076,0.002,-0.002,0.008,-0.008 +0.115,0.11,0.121,0.077,0.002,-0.002,0.011,-0.011 +0.131,0.121,0.143,0.081,0.003,-0.003,0.015,-0.015 +0.153,0.143,0.164,0.097,0.005,-0.005,0.023,-0.023 +0.175,0.164,0.186,0.106,0.009,-0.009,0.039,-0.039 +0.197,0.186,0.208,0.074,0.004,-0.004,0.022,-0.022 +0.2189,0.208,0.23,0.098,0.003,-0.003,0.019,-0.019 +0.241,0.23,0.252,0.104,0.003,-0.003,0.008,-0.008 +0.2629,0.252,0.274,0.108,0.004,-0.004,0.007,-0.007 +0.2849,0.274,0.296,0.106,0.004,-0.004,0.007,-0.007 +0.3068,0.296,0.318,0.109,0.004,-0.004,0.006,-0.006 +0.3338,0.318,0.351,0.12,0.004,-0.004,0.006,-0.006 +0.3666,0.351,0.384,0.115,0.004,-0.004,0.005,-0.005 +0.3997,0.384,0.417,0.105,0.004,-0.004,0.005,-0.005 +0.4325,0.417,0.45,0.113,0.005,-0.005,0.004,-0.004 +0.4651,0.45,0.482,0.1,0.006,-0.006,0.003,-0.003 +0.5035,0.482,0.526,0.1,0.005,-0.005,0.003,-0.003 +0.547,0.526,0.57,0.103,0.007,-0.007,0.003,-0.003 +0.6083,0.57,0.658,0.087,0.006,-0.006,0.003,-0.003 +0.7047,0.658,0.768,0.083,0.009,-0.009,0.004,-0.004 +0.8383,0.768,1.0,0.062,0.014,-0.014,0.005,-0.005 +0.507,0.014,1.0,-,0,0,0,0 + +#: RE(Q=PPBAR),,,E+ E- --> (P + PBAR) X +#: RE(Q=Z0),,,E+ E- --> Z0 < HADRONS > +#: SQRT(S) [GeV],,,91.28,,,, +X(DEF=2*P(P=3)/SQRT(S)),X(DEF=2*P(P=3)/SQRT(S)) LOW,X(DEF=2*P(P=3)/SQRT(S)) HIGH,(1/N(Q=Z0))*D(N(Q=PPBAR))/DX,stat +,stat -,sys +,sys - +0.0153,0.014,0.016,14.51,0.52,-0.52,5.08,-5.08 +0.0191,0.016,0.022,17.32,0.27,-0.27,2.58,-2.58 +0.0246,0.022,0.027,13.75,0.29,-0.29,2.5,-2.5 +0.0301,0.027,0.033,11.12,0.17,-0.17,1.24,-1.24 +0.0356,0.033,0.038,10.75,0.14,-0.14,0.47,-0.47 +0.0411,0.038,0.044,9.048,0.123,-0.123,0.35,-0.35 +0.0465,0.044,0.049,7.669,0.117,-0.117,0.298,-0.298 +0.0521,0.049,0.055,7.41,0.113,-0.113,0.294,-0.294 +0.0576,0.055,0.06,6.587,0.109,-0.109,0.259,-0.259 +0.063,0.06,0.066,5.788,0.105,-0.105,0.238,-0.238 +0.0685,0.066,0.071,5.344,0.1,-0.1,0.228,-0.228 +0.074,0.071,0.077,4.987,0.104,-0.104,0.229,-0.229 +0.0795,0.077,0.082,4.278,0.1,-0.1,0.242,-0.242 +0.08499999999999999,0.082,0.088,4.117,0.101,-0.101,0.253,-0.253 +0.0931,0.088,0.099,3.633,0.072,-0.072,0.269,-0.269 +0.104,0.099,0.11,3.036,0.076,-0.076,0.3,-0.3 +0.115,0.11,0.121,2.568,0.081,-0.081,0.357,-0.357 +0.131,0.121,0.143,2.165,0.069,-0.069,0.398,-0.398 +0.153,0.143,0.164,1.931,0.096,-0.096,0.452,-0.452 +0.175,0.164,0.186,1.603,0.133,-0.133,0.594,-0.594 +0.197,0.186,0.208,0.871,0.045,-0.045,0.255,-0.255 +0.2189,0.208,0.23,0.912,0.03,-0.03,0.179,-0.179 +0.241,0.23,0.252,0.775,0.025,-0.025,0.062,-0.062 +0.2629,0.252,0.274,0.639,0.022,-0.022,0.044,-0.044 +0.2849,0.274,0.296,0.511,0.019,-0.019,0.033,-0.033 +0.3068,0.296,0.318,0.419,0.016,-0.016,0.024,-0.024 +0.3338,0.318,0.351,0.358,0.011,-0.011,0.018,-0.018 +0.3666,0.351,0.384,0.254,0.009,-0.009,0.012,-0.012 +0.3997,0.384,0.417,0.173,0.008,-0.008,0.008,-0.008 +0.4325,0.417,0.45,0.141,0.007,-0.007,0.005,-0.005 +0.4651,0.45,0.482,0.095,0.0055,-0.0055,0.0036,-0.0036 +0.5035,0.482,0.526,0.0688,0.0039,-0.0039,0.0027,-0.0027 +0.547,0.526,0.57,0.047,0.0032,-0.0032,0.0018,-0.0018 +0.6083,0.57,0.658,0.0241,0.0017,-0.0017,0.0012,-0.0012 +0.7047,0.658,0.768,0.0093,0.001,-0.001,0.0006,-0.0006 +0.8383,0.768,1.0,0.0015,0.0003,-0.0003,0.0001,-0.0001 +0.507,0.014,1.0,0.984,0.006,-0.006,0.035,-0.035 + diff --git a/data/rawdata/proton/SLD/HEPData-ins630327-v1-Table_7.csv b/data/rawdata/proton/SLD/HEPData-ins630327-v1-Table_7.csv new file mode 100644 index 000000000..0dc1af6eb --- /dev/null +++ b/data/rawdata/proton/SLD/HEPData-ins630327-v1-Table_7.csv @@ -0,0 +1,141 @@ +#: table_doi: 10.17182/hepdata.22177.v1/t7 +#: name: Table 7 +#: description: Differential production rates of charged protons plus antiprotons per Z0 decay into light (u,d,s) and c and b quarks. The errors are combined statistical and systematic. + +#: data_file: Table7.yaml +#: keyword reactions: E+ E- --> PBAR X | E+ E- --> P X | E+ E- --> Z0 +#: keyword observables: DN/DX +#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering +#: keyword cmenergies: 91.28 +#: RE(Q=PPBAR),E+ E- --> (P + PBAR) X +#: RE(Q=ZB),E+ E- --> Z0 < BQUARK BQUARKBAR > +#: RE(Q=ZC),E+ E- --> Z0 < CQUARK CQUARKBAR > +#: RE(Q=ZL),E+ E- --> Z0 < LQUARK LQUARKBAR > +#: SQRT(S) [GeV],91.28,, +X(DEF=2*P(P=3)/SQRT(S)),(1/N(Q=ZL))*D(N(Q=PBAR))/DX,error +,error - +0.0153,13.98,0.99,-0.99 +0.0191,17.63,0.58,-0.58 +0.0246,13.42,0.6,-0.6 +0.0301,10.57,0.36,-0.36 +0.0356,9.98,0.31,-0.31 +0.0411,8.37,0.26,-0.26 +0.0465,7.33,0.24,-0.24 +0.0521,7.79,0.23,-0.23 +0.0576,6.62,0.22,-0.22 +0.063,5.88,0.2,-0.2 +0.0685,5.39,0.19,-0.19 +0.074,5.22,0.19,-0.19 +0.0795,4.42,0.18,-0.18 +0.085,4.44,0.19,-0.19 +0.0931,3.65,0.13,-0.13 +0.104,3.11,0.13,-0.13 +0.115,2.73,0.15,-0.15 +0.131,2.15,0.12,-0.12 +0.153,1.83,0.16,-0.16 +0.175,1.84,0.24,-0.24 +0.197,0.905,0.078,-0.078 +0.2189,1.065,0.054,-0.054 +0.241,0.822,0.044,-0.044 +0.2629,0.762,0.038,-0.038 +0.2849,0.628,0.033,-0.033 +0.3068,0.486,0.029,-0.029 +0.3338,0.446,0.022,-0.022 +0.3666,0.306,0.018,-0.018 +0.3997,0.23,0.015,-0.015 +0.4325,0.197,0.013,-0.013 +0.4651,0.145,0.011,-0.011 +0.5035,0.108,0.008,-0.008 +0.547,0.07,0.006,-0.006 +0.6083,0.036,0.003,-0.003 +0.7047,0.013,0.002,-0.002 +0.8383,0.003,0.001,-0.001 +-,1.008,0.038,-0.038 + +#: RE(Q=PPBAR),E+ E- --> (P + PBAR) X +#: RE(Q=ZB),E+ E- --> Z0 < BQUARK BQUARKBAR > +#: RE(Q=ZC),E+ E- --> Z0 < CQUARK CQUARKBAR > +#: RE(Q=ZL),E+ E- --> Z0 < LQUARK LQUARKBAR > +#: SQRT(S) [GeV],91.28,, +X(DEF=2*P(P=3)/SQRT(S)),(1/N(Q=ZC))*D(N(Q=PBAR))/DX,error +,error - +0.0153,13.28,2.94,-2.94 +0.0191,15.22,1.89,-1.89 +0.0246,13.32,1.86,-1.86 +0.0301,9.6,1.16,-1.16 +0.0356,11.64,1.01,-1.01 +0.0411,10.07,0.87,-0.87 +0.0465,8.1,0.76,-0.76 +0.0521,6.09,0.72,-0.72 +0.0576,6.54,0.67,-0.67 +0.063,6.36,0.63,-0.63 +0.0685,4.62,0.59,-0.59 +0.074,4.43,0.58,-0.58 +0.0795,4.08,0.55,-0.55 +0.085,3.67,0.55,-0.55 +0.0931,4.07,0.42,-0.42 +0.104,2.98,0.41,-0.41 +0.115,2.3,0.43,-0.43 +0.131,2.39,0.36,-0.36 +0.153,1.72,0.5,-0.5 +0.175,0.31,0.71,-0.71 +0.197,0.561,0.235,-0.235 +0.2189,0.978,0.163,-0.163 +0.241,0.907,0.136,-0.136 +0.2629,0.652,0.116,-0.116 +0.2849,0.572,0.101,-0.101 +0.3068,0.494,0.089,-0.089 +0.3338,0.454,0.069,-0.069 +0.3666,0.314,0.054,-0.054 +0.3997,0.17,0.041,-0.041 +0.4325,0.103,0.033,-0.033 +0.4651,0.064,0.028,-0.028 +0.5035,0.015,0.018,-0.018 +0.547,0.044,0.017,-0.017 +0.6083,0.007,0.007,-0.007 +0.7047,0.015,0.005,-0.005 +0.8383,0.001,0.002,-0.002 +-,0.93,0.056,-0.056 + +#: RE(Q=PPBAR),E+ E- --> (P + PBAR) X +#: RE(Q=ZB),E+ E- --> Z0 < BQUARK BQUARKBAR > +#: RE(Q=ZC),E+ E- --> Z0 < CQUARK CQUARKBAR > +#: RE(Q=ZL),E+ E- --> Z0 < LQUARK LQUARKBAR > +#: SQRT(S) [GeV],91.28,, +X(DEF=2*P(P=3)/SQRT(S)),(1/N(Q=ZB))*D(N(Q=PBAR))/DX,error +,error - +0.0153,13.79,1.49,-1.49 +0.0191,17.93,0.78,-0.78 +0.0246,16.41,0.93,-0.93 +0.0301,12.11,0.52,-0.52 +0.0356,10.32,0.42,-0.42 +0.0411,9.52,0.4,-0.4 +0.0465,7.72,0.36,-0.36 +0.0521,6.86,0.32,-0.32 +0.0576,6.19,0.32,-0.32 +0.063,4.96,0.29,-0.29 +0.0685,4.82,0.29,-0.29 +0.074,4.57,0.29,-0.29 +0.0795,4.07,0.29,-0.29 +0.085,3.82,0.29,-0.29 +0.0931,3.29,0.21,-0.21 +0.104,2.68,0.22,-0.22 +0.115,2.24,0.23,-0.23 +0.131,1.84,0.19,-0.19 +0.153,1.91,0.27,-0.27 +0.175,1.25,0.36,-0.36 +0.197,0.867,0.121,-0.121 +0.2189,0.739,0.072,-0.072 +0.241,0.645,0.06,-0.06 +0.2629,0.392,0.047,-0.047 +0.2849,0.252,0.038,-0.038 +0.3068,0.266,0.035,-0.035 +0.3338,0.146,0.022,-0.022 +0.3666,0.102,0.018,-0.018 +0.3997,0.02,0.012,-0.012 +0.4325,0.034,0.011,-0.011 +0.4651,-0.004,0.007,-0.007 +0.5035,0.016,0.006,-0.006 +0.547,-0.003,0.003,-0.003 +0.6083,0.004,0.002,-0.002 +0.7047,-0.001,0.001,-0.001 +0.8383,0.0,0.0,-0.0 +-,0.909,0.037,-0.037 + diff --git a/data/rawdata/proton/TASSO12/HEPData-ins153656-v1-Table_4.csv b/data/rawdata/proton/TASSO12/HEPData-ins153656-v1-Table_4.csv new file mode 100644 index 000000000..9a40ec107 --- /dev/null +++ b/data/rawdata/proton/TASSO12/HEPData-ins153656-v1-Table_4.csv @@ -0,0 +1,29 @@ +#: table_doi: 10.17182/hepdata.27192.v1/t4 +#: name: Table 4 +#: description: No description provided. +#: data_file: Table4.yaml +#: keyword reactions: E+ E- --> PBAR X | E+ E- --> P X +#: keyword observables: DSIG/DP | DSIG/DX +#: keyword phrases: Inclusive | Single Differential Cross Section | E+ E- Scattering +#: keyword cmenergies: 12.0 +#: RE,E+ E- --> (P + PBAR) X +#: SQRT(S) [GeV],12.0,,,, +P(P=3) [GEV],D(SIG)/DP(P=3) [NB/GEV],error +,error -,"sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY +","sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY -" +0.6,0.71,2.8,-2.8,20.0%,-20.0% +0.85,0.8,0.34,-0.34,20.0%,-20.0% +1.575,0.16,0.12,-0.12,20.0%,-20.0% + +#: RE,E+ E- --> (P + PBAR) X +#: SQRT(S) [GeV],12.0,,,, +P(P=3) [GEV],(S/BETA)*D(SIG)/DX [MUB/GEV**2],error +,error -,"sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY +","sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY -" +0.6,2.1,0.8,-0.8,20.0%,-20.0% +0.85,1.5,0.7,-0.7,20.0%,-20.0% +1.575,0.185,0.135,-0.135,20.0%,-20.0% + +#: RE,E+ E- --> (P + PBAR) X +#: SQRT(S) [GeV],12.0,,,, +P(P=3) [GEV],(E(P=3)/(4*PI*P(P=3)**2))*D(SIG)/DP(P=3),error +,error -,"sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY +","sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY -" +0.6,0.17,0.07,-0.07,20.0%,-20.0% +0.85,0.11,0.05,-0.05,20.0%,-20.0% +1.575,0.0094,0.0071,-0.0071,20.0%,-20.0% + diff --git a/data/rawdata/proton/TASSO14/HEPData-ins181470-v1-Table_3.csv b/data/rawdata/proton/TASSO14/HEPData-ins181470-v1-Table_3.csv new file mode 100644 index 000000000..bc098bf4a --- /dev/null +++ b/data/rawdata/proton/TASSO14/HEPData-ins181470-v1-Table_3.csv @@ -0,0 +1,21 @@ +#: table_doi: 10.17182/hepdata.2143.v1/t3 +#: name: Table 3 +#: description: No description provided. +#: data_file: Table3.yaml +#: keyword reactions: E+ E- --> PBAR X | E+ E- --> P X +#: keyword observables: DSIG/DP +#: keyword phrases: Inclusive | Single Differential Cross Section | E+ E- Scattering +#: keyword cmenergies: 14.0 +#: RE,,,E+ E- --> (P + PBAR) X +#: SQRT(S) [GeV],,,14.0,, +P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,D(SIG)/D(P) [NB/GEV],error +,error - +0.45,0.4,0.5,0.21,0.07,-0.07 +0.55,0.5,0.6,0.21,0.07,-0.07 +0.6499999999999999,0.6,0.7,0.35,0.09,-0.09 +0.75,0.7,0.8,0.5,0.12,-0.12 +0.9,0.8,1.0,0.47,0.1,-0.1 +1.1,1.0,1.2,0.54,0.16,-0.16 +1.4,1.2,1.6,0.35,0.12,-0.12 +1.8,1.6,2.0,0.16,0.09,-0.09 +3.8,3.0,4.6,0.073,0.033,-0.033 + diff --git a/data/rawdata/proton/TASSO22/HEPData-ins181470-v1-Table_6.csv b/data/rawdata/proton/TASSO22/HEPData-ins181470-v1-Table_6.csv new file mode 100644 index 000000000..90f3a734e --- /dev/null +++ b/data/rawdata/proton/TASSO22/HEPData-ins181470-v1-Table_6.csv @@ -0,0 +1,21 @@ +#: table_doi: 10.17182/hepdata.2143.v1/t6 +#: name: Table 6 +#: description: No description provided. +#: data_file: Table6.yaml +#: keyword reactions: E+ E- --> PBAR X | E+ E- --> P X +#: keyword observables: DSIG/DP +#: keyword phrases: Inclusive | Single Differential Cross Section | E+ E- Scattering +#: keyword cmenergies: 22.0 +#: RE,,,E+ E- --> (P + PBAR) X +#: SQRT(S) [GeV],,,22.0,, +P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,D(SIG)/D(P) [NB/GEV],error +,error - +0.45,0.4,0.5,0.13,0.05,-0.05 +0.55,0.5,0.6,0.08,0.04,-0.04 +0.6499999999999999,0.6,0.7,0.16,0.05,-0.05 +0.75,0.7,0.8,0.22,0.06,-0.06 +1.0,0.8,1.2,0.21,0.04,-0.04 +1.4,1.2,1.6,0.18,0.04,-0.04 +1.8,1.6,2.0,0.1,0.05,-0.05 +3.4,3.0,3.8,0.051,0.028,-0.028 +4.199999999999999,3.8,4.6,0.028,0.015,-0.015 + diff --git a/data/rawdata/proton/TASSO30/HEPData-ins153656-v1-Table_7.csv b/data/rawdata/proton/TASSO30/HEPData-ins153656-v1-Table_7.csv new file mode 100644 index 000000000..c6a5d6cf1 --- /dev/null +++ b/data/rawdata/proton/TASSO30/HEPData-ins153656-v1-Table_7.csv @@ -0,0 +1,29 @@ +#: table_doi: 10.17182/hepdata.27192.v1/t7 +#: name: Table 7 +#: description: No description provided. +#: data_file: Table7.yaml +#: keyword reactions: E+ E- --> PBAR X | E+ E- --> P X +#: keyword observables: DSIG/DP | DSIG/DX +#: keyword phrases: Inclusive | Single Differential Cross Section | E+ E- Scattering +#: keyword cmenergies: 30.0 +#: RE,E+ E- --> (P + PBAR) X +#: SQRT(S) [GeV],30.0,,,, +P(P=3) [GEV],D(SIG)/DP(P=3) [NB/GEV],error +,error -,"sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY +","sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY -" +0.6,0.097,0.031,-0.031,20.0%,-20.0% +0.8,0.129,0.039,-0.039,20.0%,-20.0% +1.665,0.07,0.027,-0.027,20.0%,-20.0% + +#: RE,E+ E- --> (P + PBAR) X +#: SQRT(S) [GeV],30.0,,,, +P(P=3) [GEV],(S/BETA)*D(SIG)/DX [MUB/GEV**2],error +,error -,"sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY +","sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY -" +0.6,4.6,1.5,-1.5,20.0%,-20.0% +0.8,3.9,1.2,-1.2,20.0%,-20.0% +1.665,1.31,0.5,-0.5,20.0%,-20.0% + +#: RE,E+ E- --> (P + PBAR) X +#: SQRT(S) [GeV],30.0,,,, +P(P=3) [GEV],(E(P=3)/(4*PI*P(P=3)**2))*D(SIG)/DP(P=3),error +,error -,"sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY +","sys,OVERALL NORMALIZATION UNCERTAINTY AT EACH ENERGY -" +0.6,0.023,0.008,-0.008,20.0%,-20.0% +0.8,0.018,0.005,-0.005,20.0%,-20.0% +1.665,0.0049,0.0019,-0.0019,20.0%,-20.0% + diff --git a/data/rawdata/proton/TASSO34/HEPData-ins267755-v1-Table_9.csv b/data/rawdata/proton/TASSO34/HEPData-ins267755-v1-Table_9.csv new file mode 100644 index 000000000..c30e31b9f --- /dev/null +++ b/data/rawdata/proton/TASSO34/HEPData-ins267755-v1-Table_9.csv @@ -0,0 +1,23 @@ +#: table_doi: 10.17182/hepdata.1500.v1/t9 +#: name: Table 9 +#: description: No description provided. +#: data_file: Table9.yaml +#: keyword reactions: E+ E- --> PBAR X | E+ E- --> P X +#: keyword observables: DSIG/DX +#: keyword phrases: Inclusive | Single Differential Cross Section | E+ E- Scattering +#: keyword cmenergies: 34.0 +#: RE,,,E+ E- --> (P + PBAR) X +#: SQRT(S) [GeV],,,34.0,,,, +X(DEF=P(P=3)/P(P=1)),X(DEF=P(P=3)/P(P=1)) LOW,X(DEF=P(P=3)/P(P=1)) HIGH,(D(SIG)/D(X))/SIG(NAME=TOTAL),error +,error -,"sys,Overall normalization error +","sys,Overall normalization error -" +0.02,0.0171,0.0229,1.54,0.86,-0.86,6.0%,-6.0% +0.0257,0.0229,0.0286,2.63,0.53,-0.53,6.0%,-6.0% +0.0314,0.0286,0.0343,3.33,0.35,-0.35,6.0%,-6.0% +0.0371,0.0343,0.04,4.55,0.53,-0.53,6.0%,-6.0% +0.0429,0.04,0.0457,4.55,1.05,-1.05,6.0%,-6.0% +0.056,0.0457,0.0686,4.74,0.44,-0.44,6.0%,-6.0% +0.0789,0.0686,0.0914,4.1,0.67,-0.67,6.0%,-6.0% +0.102,0.0914,0.114,3.4,1.03,-1.03,6.0%,-6.0% +0.191,0.171,0.217,1.37,0.42,-0.42,6.0%,-6.0% +0.271,0.217,0.343,0.56,0.23,-0.23,6.0%,-6.0% +0.73,0.571,0.971,0.032,0.016,-0.016,6.0%,-6.0% + diff --git a/data/rawdata/proton/TASSO44/HEPData-ins267755-v1-Table_12.csv b/data/rawdata/proton/TASSO44/HEPData-ins267755-v1-Table_12.csv new file mode 100644 index 000000000..f73aab8a6 --- /dev/null +++ b/data/rawdata/proton/TASSO44/HEPData-ins267755-v1-Table_12.csv @@ -0,0 +1,16 @@ +#: table_doi: 10.17182/hepdata.1500.v1/t12 +#: name: Table 12 +#: description: No description provided. +#: data_file: Table12.yaml +#: keyword reactions: E+ E- --> PBAR X | E+ E- --> P X +#: keyword observables: DSIG/DX +#: keyword phrases: Inclusive | Single Differential Cross Section | E+ E- Scattering +#: keyword cmenergies: 44.0 +#: RE,,,E+ E- --> (P + PBAR) X +#: SQRT(S) [GeV],,,44.0,,,, +X(DEF=P(P=3)/P(P=1)),X(DEF=P(P=3)/P(P=1)) LOW,X(DEF=P(P=3)/P(P=1)) HIGH,(D(SIG)/D(X))/SIG(NAME=TOTAL),error +,error -,"sys,Overall normalization error +","sys,Overall normalization error -" +0.0159,0.0136,0.0182,2.4,1.1,-1.1,6.0%,-6.0% +0.0205,0.0182,0.0227,6.6,1.3,-1.3,6.0%,-6.0% +0.025,0.0227,0.0273,5.7,1.2,-1.2,6.0%,-6.0% +0.0295,0.0273,0.0318,8.8,1.1,-1.1,6.0%,-6.0% + diff --git a/data/rawdata/proton/TPC/HEPData-ins262143-v1-Table_1.csv b/data/rawdata/proton/TPC/HEPData-ins262143-v1-Table_1.csv new file mode 100644 index 000000000..4561f3e98 --- /dev/null +++ b/data/rawdata/proton/TPC/HEPData-ins262143-v1-Table_1.csv @@ -0,0 +1,136 @@ +#: table_doi: 10.17182/hepdata.38102.v1/t1,,,,, +#: name: Table 1,,,,, +#: description: No description provided.,,,,, +#: data_file: Table1.yaml,,,,, +#: keyword reactions: E+ E- --> CHGD-HADRONS X | E+ E- --> K- X | E+ E- --> K+ X | E+ E- --> PBAR X | E+ E- --> PI- X | E+ E- --> PI+ X | E+ E- --> P X,,,,, +#: keyword observables: DSIG/DZ,,,,, +#: keyword phrases: Inclusive | Single Differential Cross Section | E+ E- Scattering | Strange production,,,,, +#: keyword cmenergies: 29.0,,,,, +#: RE,,,E+ E- --> (PI+ + PI-) X,, +#: SQRT(S) [GeV],,,29,, +#: SYS,,,Errors contain systematic errors added in quadrature. Statistical errors dominate above Z,, +Z(DEF=P(P=3)/P(P=1)),Z(DEF=P(P=3)/P(P=1)) LOW,Z(DEF=P(P=3)/P(P=1)) HIGH,(1/SIG(C=TOTAL))*D(SIG)/D(Z),error +,error - +0.0125,0.01,0.015,88.4,7.2,-7.2 +0.0175,0.015,0.02,138.3,5.4,-5.4 +0.0225,0.02,0.025,149.5,6.6,-6.6 +0.0275,0.025,0.03,144.2,5,-5 +0.0325,0.03,0.035,130.9,4.1,-4.1 +0.0375,0.035,0.04,112.9,3.5,-3.5 +0.0425,0.04,0.045,104.6,3.2,-3.2 +0.0475,0.045,0.05,93.8,3,-3 +0.0525,0.05,0.055,83.8,2.7,-2.7 +0.0575,0.055,0.06,76,2.5,-2.5 +0.0625,0.06,0.065,68.2,2.6,-2.6 +0.0675,0.065,0.07,60.9,3,-3 +0.0725,0.07,0.075,-,0,0 +0.0775,0.075,0.08,-,0,0 +0.0825,0.08,0.085,-,0,0 +0.0875,0.085,0.09,-,0,0 +0.095,0.09,0.1,36,1.9,-1.9 +0.105,0.1,0.11,29.9,1.5,-1.5 +0.115,0.11,0.12,-,0,0 +0.125,0.12,0.13,-,0,0 +0.135,0.13,0.14,-,0,0 +0.145,0.14,0.15,-,0,0 +0.155,0.15,0.16,-,0,0 +0.17,0.16,0.18,12.48,0.51,-0.51 +0.19,0.18,0.2,10.77,0.45,-0.45 +0.21,0.2,0.22,7.95,0.36,-0.36 +0.235,0.22,0.25,6.13,0.26,-0.26 +0.275,0.25,0.3,4.09,0.14,-0.14 +0.325,0.3,0.35,2.61,0.1,-0.1 +0.375,0.35,0.4,1.581,0.071,-0.071 +0.45,0.4,0.5,0.874,0.038,-0.038 +0.55,0.5,0.6,0.37,0.022,-0.022 +0.65,0.6,0.7,0.19,0.015,-0.015 +0.8,0.7,0.9,0.0466,0.007,-0.007 +,,,,, +#: RE,,,E+ E- --> (K+ + K-) X,, +#: SQRT(S) [GeV],,,29,, +#: SYS,,,Errors contain systematic errors added in quadrature. Statistical errors dominate above Z,, +Z(DEF=P(P=3)/P(P=1)),Z(DEF=P(P=3)/P(P=1)) LOW,Z(DEF=P(P=3)/P(P=1)) HIGH,(1/SIG(C=TOTAL))*D(SIG)/D(Z),error +,error - +0.0275,0.025,0.03,5.56,0.49,-0.49 +0.0325,0.03,0.035,7.21,0.56,-0.56 +0.0375,0.035,0.04,7.6,0.59,-0.59 +0.0425,0.04,0.045,9.3,1.2,-1.2 +0.0475,0.045,0.05,8.55,0.96,-0.96 +0.0525,0.05,0.055,8.73,0.65,-0.65 +0.0575,0.055,0.06,8.48,0.74,-0.74 +0.0625,0.06,0.065,9.2,1.3,-1.3 +0.0675,0.065,0.07,8.8,2.3,-2.3 +0.095,0.09,0.1,5.6,1.5,-1.5 +0.105,0.1,0.11,6.32,0.92,-0.92 +0.115,0.11,0.12,5.13,0.61,-0.61 +0.125,0.12,0.13,5.13,0.49,-0.49 +0.135,0.13,0.14,5,0.38,-0.38 +0.275,0.25,0.3,1.73,0.11,-0.11 +0.325,0.3,0.35,1.161,0.073,-0.073 +0.375,0.35,0.4,0.842,0.055,-0.055 +0.45,0.4,0.5,0.47,0.03,-0.03 +0.55,0.5,0.6,0.249,0.02,-0.02 +0.65,0.6,0.7,0.09,0.012,-0.012 +0.8,0.7,0.9,0.0225,0.0048,-0.0048 +,,,,, +#: RE,,,E+ E- --> (P + PBAR) X,, +#: SQRT(S) [GeV],,,29,, +#: SYS,,,Errors contain systematic errors added in quadrature. Statistical errors dominate above Z,, +Z(DEF=P(P=3)/P(P=1)),Z(DEF=P(P=3)/P(P=1)) LOW,Z(DEF=P(P=3)/P(P=1)) HIGH,(1/SIG(C=TOTAL))*D(SIG)/D(Z),error +,error - +0.0375,0.035,0.04,3.63,0.65,-0.65 +0.0425,0.04,0.045,3.46,0.46,-0.46 +0.0475,0.045,0.05,3.99,0.46,-0.46 +0.0525,0.05,0.055,3.64,0.41,-0.41 +0.0575,0.055,0.06,3.35,0.39,-0.39 +0.0625,0.06,0.065,3.32,0.39,-0.39 +0.0675,0.065,0.07,2.76,0.33,-0.33 +0.0725,0.07,0.075,4,0.48,-0.48 +0.0775,0.075,0.08,3.04,0.58,-0.58 +0.0825,0.08,0.085,3.9,1.2,-1.2 +0.0875,0.085,0.09,3.43,0.57,-0.57 +0.095,0.09,0.1,3.06,0.33,-0.33 +0.105,0.1,0.11,2.69,0.6,-0.6 +0.275,0.25,0.3,0.42,0.1,-0.1 +0.325,0.3,0.35,0.313,0.062,-0.062 +0.375,0.35,0.4,0.222,0.046,-0.046 +0.45,0.4,0.5,0.12,0.022,-0.022 +0.55,0.5,0.6,0.044,0.012,-0.012 +0.65,0.6,0.7,0.0305,0.008,-0.008 +0.8,0.7,0.9,0.0064,0.0023,-0.0023 +,,,,, +#: RE,,,E+ E- --> CHGD-HADRONS X,, +#: SQRT(S) [GeV],,,29,, +#: SYS,,,Errors contain systematic errors added in quadrature. Statistical errors dominate above Z,, +Z(DEF=P(P=3)/P(P=1)),Z(DEF=P(P=3)/P(P=1)) LOW,Z(DEF=P(P=3)/P(P=1)) HIGH,(1/SIG(C=TOTAL))*D(SIG)/D(Z),error +,error - +0.0125,0.01,0.015,91.5,7.4,-7.4 +0.0175,0.015,0.02,144.8,5.6,-5.6 +0.0225,0.02,0.025,157.7,7,-7 +0.0275,0.025,0.03,153.4,5.2,-5.2 +0.0325,0.03,0.035,142.2,4.3,-4.3 +0.0375,0.035,0.04,124.1,3.8,-3.8 +0.0425,0.04,0.045,117.3,3.6,-3.6 +0.0475,0.045,0.05,106.4,3.3,-3.3 +0.0525,0.05,0.055,96.2,3,-3 +0.0575,0.055,0.06,87.8,2.7,-2.7 +0.0625,0.06,0.065,80.7,2.6,-2.6 +0.0675,0.065,0.07,72.5,2.4,-2.4 +0.0725,0.07,0.075,69.2,2.4,-2.4 +0.0775,0.075,0.08,60,2.2,-2.2 +0.0825,0.08,0.085,53.3,2.2,-2.2 +0.0875,0.085,0.09,49.2,1.8,-1.8 +0.095,0.09,0.1,44.6,1.4,-1.4 +0.105,0.1,0.11,39,1.3,-1.3 +0.115,0.11,0.12,33.9,1.3,-1.3 +0.125,0.12,0.13,29.4,1.1,-1.1 +0.135,0.13,0.14,26.1,1,-1 +0.145,0.14,0.15,22.11,0.82,-0.82 +0.155,0.15,0.16,20.44,0.79,-0.79 +0.17,0.16,0.18,17,0.58,-0.58 +0.19,0.18,0.2,14.38,0.58,-0.58 +0.21,0.2,0.22,11.31,0.44,-0.44 +0.235,0.22,0.25,8.96,0.32,-0.32 +0.275,0.25,0.3,6.24,0.18,-0.18 +0.325,0.3,0.35,4.08,0.13,-0.13 +0.375,0.35,0.4,2.644,0.093,-0.093 +0.45,0.4,0.5,1.463,0.049,-0.049 +0.55,0.5,0.6,0.663,0.029,-0.029 +0.65,0.6,0.7,0.31,0.019,-0.019 +0.8,0.7,0.9,0.0755,0.0098,-0.0098 diff --git a/data/rawdata/proton/filter.py b/data/rawdata/proton/filter.py new file mode 100644 index 000000000..a9fb10b67 --- /dev/null +++ b/data/rawdata/proton/filter.py @@ -0,0 +1,956 @@ +import sys +import pandas as pd +import yaml +import numpy as np + +mPR = 0.9382720813 # GeV + +# BABAR - conventional inclusive +def filter_BABAR_PR_CONVENTIONAL(): + nameexp = 'BABAR_PR_PLUS_MINUS_CONVENTIONAL' + infile = 'BABAR/HEPData-ins1238276-v1-Table_2.csv' + ndata = 45 + cme = 10.54 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=110, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + breakdown = pd.read_csv( + 'BABAR/babarbdPR.data', + dtype={"user_ld": float}, + header=None, + sep=',', + usecols=[0,1,2,3,4,5,6,7,8,9]) + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "BABAR coventional $b+\\\\bar{p}$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: PR}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+(breakdown.iloc[i,9]/100.*data.iloc[i,3])**2.)), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,2]/100.), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,3]/100.), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,4]/100.), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,6]/100.), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,7]/100.), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,8]/100.), file=f) + print(' - {label: mult, value: 0.0098}', file=f) + print(' value: %7.5f' % (data.iloc[i,3]), file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = np.sqrt(1. + mPR**2./data.iloc[i,0]**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# BABAR - prompt inclusive +def filter_BABAR_PR_PROMPT(): + nameexp = 'BABAR_PR_PLUS_MINUS_PROMPT' + infile = 'BABAR/HEPData-ins1238276-v1-Table_1.csv' + ndata = 45 + cme = 10.54 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=110, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + breakdown = pd.read_csv( + 'BABAR/babarbdPR.data', + dtype={"user_ld": float}, + header=None, + sep=',', + usecols=[0,1,2,3,4,5,6,7,8,9]) + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "BABAR prmpt $p+\\\\bar{p}$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: PR}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+(breakdown.iloc[i,9]/100.*data.iloc[i,3])**2.)), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,2]/100.), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,3]/100.), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,4]/100.), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,5]/100.), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,7]/100.), file=f) + print(' - {label: add, value: %7.5f}' % (breakdown.iloc[i,8]/100.), file=f) + print(' - {label: mult, value: 0.0098}', file=f) + print(' value: %7.5f' % (data.iloc[i,3]), file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = np.sqrt(1. + mPR**2./data.iloc[i,0]**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# TASSO12 - inclusive +def filter_TASSO12_PR(): + nameexp = 'TASSO_12_PR_PLUS_MINUS' + infile = 'TASSO12/HEPData-ins153656-v1-Table_4.csv' + ndata = 3 + cme = 12.00 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=11, + sep=',', + header=None, + usecols=[0,1,2], + skipfooter=14, + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "TASSO12 $p+\\\\bar{p}$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: PR}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (data.iloc[i,2]), file=f) + print(' - {label: mult, value: 0.20}', file=f) + print(' value: ', data.iloc[i,1], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = np.sqrt(1. + mPR**2./data.iloc[i,0]**2.) + print(' - {value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {value: %7.5f}' + % (data.iloc[i,0]) , file=f) + +# TASSO14 - inclusive +def filter_TASSO14_PR(): + nameexp = 'TASSO_14_PR_PLUS_MINUS' + infile = 'TASSO14/HEPData-ins181470-v1-Table_3.csv' + ndata = 9 + cme = 14.00 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=11, + sep=',', + header=None, + usecols=[0,1,2,3,4], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "TASSO14 $p+\\\\bar{p}$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: PR}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (data.iloc[i,4]), file=f) + print(' - {label: mult, value: 0.085}', file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = np.sqrt(1. + mPR**2./data.iloc[i,0]**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# TASSO22 - inclusive +def filter_TASSO22_PR(): + nameexp = 'TASSO_22_PR_PLUS_MINUS' + infile = 'TASSO22/HEPData-ins181470-v1-Table_6.csv' + ndata = 9 + cme = 22.00 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=11, + sep=',', + header=None, + usecols=[0,1,2,3,4], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "TASSO22 $p+\\\\bar{p}$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: PR}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (data.iloc[i,4]), file=f) + print(' - {label: mult, value: 0.063}', file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = np.sqrt(1. + mPR**2./data.iloc[i,0]**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + + + + + + +# TPC - inclusive +def filter_TPC_PR(): + nameexp = 'TPC_PR_PLUS_MINUS' + infile = 'TPC/HEPData-ins262143-v1-Table_1.csv' + ndata = 20 + cme = 29.00 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=77, + sep=',', + header=None, + usecols=[0,1,2,3,4,5], + skipfooter=39, + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "TPC $p+\\\\bar{p}$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: PR}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (data.iloc[i,4]), file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + + for i in range(ndata): + factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mPR**2./cme**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], 1./factor), file=f) + print('- header: {name: "xp"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + + + +# TASSO30 - inclusive +def filter_TASSO30_PR(): + nameexp = 'TASSO_30_PR_PLUS_MINUS' + infile = 'TASSO30/HEPData-ins153656-v1-Table_7.csv' + ndata = 3 + cme = 30.00 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=11, + sep=',', + header=None, + usecols=[0,1,2], + skipfooter=14, + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "TASSO30 $p+\\\\bar{p}$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: PR}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (data.iloc[i,2]), file=f) + print(' - {label: mult, value: 0.20}', file=f) + print(' value: ', data.iloc[i,1], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = np.sqrt(1. + mPR**2./data.iloc[i,0]**2.) + print(' - {value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {value: %7.5f}' + % (data.iloc[i,0]) , file=f) + +# TASSO34 - inclusive +def filter_TASSO34_PR(): + nameexp = 'TASSO_34_PR_PLUS_MINUS' + infile = 'TASSO34/HEPData-ins267755-v1-Table_9.csv' + ndata = 11 + cme = 34.00 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=11, + sep=',', + header=None, + usecols=[0,1,2,3,4,5], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "TASSO34 $p+\\\\bar{p}$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: PR}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (data.iloc[i,4]), file=f) + print(' - {label: mult, value: 0.06}', file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + + for i in range(ndata): + factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mPR**2./cme**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], 1./factor), file=f) + print('- header: {name: "xp"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# TASSO44 - inclusive +def filter_TASSO44_PR(): + nameexp = 'TASSO_44_PR_PLUS_MINUS' + infile = 'TASSO44/HEPData-ins267755-v1-Table_12.csv' + ndata = 4 + cme = 44.00 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=11, + sep=',', + header=None, + usecols=[0,1,2,3,4,5], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "TASSO44 $p+\\\\bar{p}$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: PR}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (data.iloc[i,4]), file=f) + print(' - {label: mult, value: 0.06}', file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + + for i in range(ndata): + factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mPR**2./cme**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], 1./factor), file=f) + print('- header: {name: "xp"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# ALEPH - inclusive +def filter_ALEPH_PR(): + nameexp = 'ALEPH_PR_PLUS_MINUS' + infile = 'ALEPH/HEPData-ins382179-v1-Table_3.csv' + ndata = 26 + cme = 91.20 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=11, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "ALEPH $p+\\\\bar{p}$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: PR}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+data.iloc[i,6]**2.)), file=f) + print(' - {label: mult, value: 0.05}', file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + + for i in range(ndata): + factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mPR**2./cme**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], 1./factor), file=f) + print('- header: {name: "xp"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# DELPHI - inclusive +def filter_DELPHI_PR(): + nameexp = 'DELPHI_PR_PLUS_MINUS' + infile = 'DELPHI/HEPData-ins473409-v1-Table_6.csv' + ndata = 23 + cme = 91.20 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=13, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "DELPHI $p+\\\\bar{p}$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: PR}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+data.iloc[i,6]**2.)), file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = np.sqrt(1. + mPR**2./data.iloc[i,0]**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# DELPHI - uds tagged +def filter_DELPHI_PR_UDS(): + nameexp = 'DELPHI_PR_PLUS_MINUS_UDS' + infile = 'DELPHI/HEPData-ins473409-v1-Table_14.csv' + ndata = 23 + cme = 91.20 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=13, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "DELPHI $p+\\\\bar{p}$ Multiplicity uds-tag"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: PR}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [u,d,s]}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+data.iloc[i,6]**2.)), file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = np.sqrt(1. + mPR**2./data.iloc[i,0]**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# DELPHI - b tagged +def filter_DELPHI_PR_B(): + nameexp = 'DELPHI_PR_PLUS_MINUS_B' + infile = 'DELPHI/HEPData-ins473409-v1-Table_10.csv' + ndata = 23 + cme = 91.20 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=13, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "DELPHI $p+\\\\bar{p}$ Multiplicity b-tag"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: PR}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [b]}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+data.iloc[i,6]**2.)), file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = np.sqrt(1. + mPR**2./data.iloc[i,0]**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# OPAL - inclusive +def filter_OPAL_PR(): + nameexp = 'OPAL_PR_PLUS_MINUS' + infile = 'OPAL/HEPData-ins372772-v1-Table_3.csv' + ndata = 37 + cme = 91.20 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=12, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "OPAL $p+\\\\bar{p}$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: PR}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+data.iloc[i,6]**2.)), file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = np.sqrt(1. + mPR**2./data.iloc[i,0]**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], factor * 2./cme * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# SLD - inclusive +def filter_SLD_PR(): + nameexp = 'SLD_PR_PLUS_MINUS' + infile = 'SLD/HEPData-ins630327-v1-Table_4.csv' + ndata = 36 + cme = 91.20 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=55, + sep=',', + header=None, + skipfooter=1, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "SLD $p+\\\\bar{p}$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: PR}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+data.iloc[i,6]**2.)), file=f) + print(' - {label: mult, value: 0.01}', file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + + for i in range(ndata): + factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mPR**2./cme**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], 1./factor), file=f) + print('- header: {name: "xp"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# SLD - uds tag +def filter_SLD_PR_UDS(): + nameexp = 'SLD_PR_PLUS_MINUS_UDS' + infile = 'SLD/HEPData-ins630327-v1-Table_7.csv' + ndata = 36 + cme = 91.20 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=15, + sep=',', + header=None, + usecols=[0,1,2,3], + skipfooter=90, + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "SLD $p+\\\\bar{p}$ Multiplicity uds-tag"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: PR}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [u,d,s]}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (data.iloc[i,2]), file=f) + print(' - {label: mult, value: 0.01}', file=f) + print(' value: ', data.iloc[i,1], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + + for i in range(ndata): + factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mPR**2./cme**2.) + print(' - {value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,0], 1./factor), file=f) + print('- header: {name: "xp"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {value: %7.5f}' + % (data.iloc[i,0]) , file=f) + +# SLD - c tagged +def filter_SLD_PR_C(): + nameexp = 'SLD_PR_PLUS_MINUS_C' + infile = 'SLD/HEPData-ins630327-v1-Table_7.csv' + ndata = 36 + cme = 91.20 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=59, + sep=',', + header=None, + usecols=[0,1,2,3], + skipfooter=46, + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "SLD $p+\\\\bar{p}$ Multiplicity c-tag"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: PR}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [c]}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (data.iloc[i,2]), file=f) + print(' - {label: mult, value: 0.01}', file=f) + print(' value: ', data.iloc[i,1], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + + for i in range(ndata): + factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mPR**2./cme**2.) + print(' - {value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,0], 1./factor), file=f) + print('- header: {name: "xp"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {value: %7.5f}' + % (data.iloc[i,0]) , file=f) + +# SLD - b tagged +def filter_SLD_PR_B(): + nameexp = 'SLD_PR_PLUS_MINUS_B' + infile = 'SLD/HEPData-ins630327-v1-Table_7.csv' + ndata = 36 + cme = 91.20 #GeV + zmin = 0.011 + zmax = 0.800 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=103, + sep=',', + header=None, + usecols=[0,1,2,3], + skipfooter=2, + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "SLD $p+\\\\bar{p}$ Multiplicity b-tag"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: PR}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [b]}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (data.iloc[i,2]), file=f) + print(' - {label: mult, value: 0.01}', file=f) + print(' value: ', data.iloc[i,1], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + + for i in range(ndata): + factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mPR**2./cme**2.) + print(' - {value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,0], 1./factor), file=f) + print('- header: {name: "xp"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {value: %7.5f}' + % (data.iloc[i,0]) , file=f) + +# Filter data +filter_BABAR_PR_CONVENTIONAL() +filter_BABAR_PR_PROMPT() +filter_TASSO12_PR() +filter_TASSO14_PR() +filter_TASSO22_PR() +filter_TPC_PR() +filter_TASSO30_PR() +filter_TASSO34_PR() +filter_TASSO44_PR() +filter_ALEPH_PR() +filter_DELPHI_PR() +filter_DELPHI_PR_UDS() +filter_DELPHI_PR_B() +filter_OPAL_PR() +filter_SLD_PR() +filter_SLD_PR_UDS() +filter_SLD_PR_C() +filter_SLD_PR_B() From b8c7b4e1bc115a0a99c0143307f089cdba60e724 Mon Sep 17 00:00:00 2001 From: enocera Date: Thu, 8 May 2025 17:54:45 +0200 Subject: [PATCH 11/29] Remove polarised datasets - they do not belong to MontBlanc --- data/COMPASS_G1D.yaml | 90 ------------ data/COMPASS_G1P.yaml | 100 ------------- data/E142_G1N.yaml | 55 ------- data/E143_G1D.yaml | 183 ----------------------- data/E143_G1P.yaml | 183 ----------------------- data/E154_G1N.yaml | 70 --------- data/E155_G1N_F1N.yaml | 159 -------------------- data/E155_G1P_F1P.yaml | 159 -------------------- data/EMC_G1P.yaml | 75 ---------- data/HERMES_G1N.yaml | 60 -------- data/JLAB_E06_014_G1N_F1N.yaml | 45 ------ data/JLAB_E97_103_G1N.yaml | 40 ----- data/JLAB_E99_117_G1N_F1N.yaml | 30 ---- data/JLAB_EG1_DVCS_G1D_F1D.yaml | 235 ------------------------------ data/JLAB_EG1_DVCS_G1P_F1P.yaml | 250 -------------------------------- data/SMC_G1D.yaml | 80 ---------- data/SMC_G1P.yaml | 80 ---------- 17 files changed, 1894 deletions(-) delete mode 100644 data/COMPASS_G1D.yaml delete mode 100644 data/COMPASS_G1P.yaml delete mode 100644 data/E142_G1N.yaml delete mode 100644 data/E143_G1D.yaml delete mode 100644 data/E143_G1P.yaml delete mode 100644 data/E154_G1N.yaml delete mode 100644 data/E155_G1N_F1N.yaml delete mode 100644 data/E155_G1P_F1P.yaml delete mode 100644 data/EMC_G1P.yaml delete mode 100644 data/HERMES_G1N.yaml delete mode 100644 data/JLAB_E06_014_G1N_F1N.yaml delete mode 100644 data/JLAB_E97_103_G1N.yaml delete mode 100644 data/JLAB_E99_117_G1N_F1N.yaml delete mode 100644 data/JLAB_EG1_DVCS_G1D_F1D.yaml delete mode 100644 data/JLAB_EG1_DVCS_G1P_F1P.yaml delete mode 100644 data/SMC_G1D.yaml delete mode 100644 data/SMC_G1P.yaml diff --git a/data/COMPASS_G1D.yaml b/data/COMPASS_G1D.yaml deleted file mode 100644 index 9f11c7204..000000000 --- a/data/COMPASS_G1D.yaml +++ /dev/null @@ -1,90 +0,0 @@ -dependent_variables: -- header: {title: "COMPASS g1d structure function"} - qualifiers: - - {name: process, value: pDIS} - - {name: observable, value: g1d} - - {name: target_isoscalarity, value: 0.5} - - {name: prefactor, value: 1.} - - {name: Vs, value: 19.0 , units: GeV} - - {name: x, low: 0.0046 , high: 0.567 , integrate: false} - values: - - errors: - - {label: unc, value: 0.20248} - value: -0.13000 - - errors: - - {label: unc, value: 0.15000} - value: 0.00000 - - errors: - - {label: unc, value: 0.08149} - value: -0.01600 - - errors: - - {label: unc, value: 0.07443} - value: -0.12100 - - errors: - - {label: unc, value: 0.03302} - value: -0.01000 - - errors: - - {label: unc, value: 0.03329} - value: 0.04300 - - errors: - - {label: unc, value: 0.03329} - value: 0.04300 - - errors: - - {label: unc, value: 0.02524} - value: 0.05100 - - errors: - - {label: unc, value: 0.02121} - value: 0.11100 - - errors: - - {label: unc, value: 0.01910} - value: 0.12300 - - errors: - - {label: unc, value: 0.01910} - value: 0.10100 - - errors: - - {label: unc, value: 0.01697} - value: 0.09300 - - errors: - - {label: unc, value: 0.01167} - value: 0.06750 - - errors: - - {label: unc, value: 0.00813} - value: 0.05000 - - errors: - - {label: unc, value: 0.00495} - value: 0.02030 -independent_variables: -- header: {name: "x"} - values: - - {high: 0.00500, low: 0.00400, value: 0.00460} - - {high: 0.00600, low: 0.00500, value: 0.00550} - - {high: 0.00800, low: 0.00600, value: 0.00699} - - {high: 0.01000, low: 0.00800, value: 0.00899} - - {high: 0.02000, low: 0.01000, value: 0.01410} - - {high: 0.03000, low: 0.02000, value: 0.02440} - - {high: 0.04000, low: 0.03000, value: 0.03460} - - {high: 0.06000, low: 0.04000, value: 0.04870} - - {high: 0.10000, low: 0.06000, value: 0.07660} - - {high: 0.15000, low: 0.10000, value: 0.12100} - - {high: 0.20000, low: 0.15000, value: 0.17100} - - {high: 0.25000, low: 0.20000, value: 0.22200} - - {high: 0.35000, low: 0.25000, value: 0.29000} - - {high: 0.50000, low: 0.35000, value: 0.40500} - - {high: 0.70000, low: 0.50000, value: 0.56700} -- header: {name: "Q2"} - values: - - {value: 1.10000} - - {value: 1.22000} - - {value: 1.39000} - - {value: 1.62000} - - {value: 2.19000} - - {value: 3.29000} - - {value: 4.43000} - - {value: 6.06000} - - {value: 9.00000} - - {value: 13.50000} - - {value: 18.60000} - - {value: 23.80000} - - {value: 31.10000} - - {value: 43.90000} - - {value: 60.80000} diff --git a/data/COMPASS_G1P.yaml b/data/COMPASS_G1P.yaml deleted file mode 100644 index fb0e4ec12..000000000 --- a/data/COMPASS_G1P.yaml +++ /dev/null @@ -1,100 +0,0 @@ -dependent_variables: -- header: {title: "COMPASS g1p structure function"} - qualifiers: - - {name: process, value: pDIS} - - {name: observable, value: g1p} - - {name: target_isoscalarity, value: 1.} - - {name: prefactor, value: 1.} - - {name: Vs, value: 19.0 , units: GeV} - - {name: x, low: 0.0036 , high: 0.57 , integrate: false} - values: - - errors: - - {label: unc, value: 0.55543} - value: 0.60000 - - errors: - - {label: unc, value: 0.33615} - value: 0.43000 - - errors: - - {label: unc, value: 0.28231} - value: 0.44000 - - errors: - - {label: unc, value: 0.17889} - value: 0.43000 - - errors: - - {label: unc, value: 0.17493} - value: 0.27000 - - errors: - - {label: unc, value: 0.11662} - value: 0.51000 - - errors: - - {label: unc, value: 0.10140} - value: 0.64200 - - errors: - - {label: unc, value: 0.07920} - value: 0.51400 - - errors: - - {label: unc, value: 0.08298} - value: 0.42400 - - errors: - - {label: unc, value: 0.05685} - value: 0.40100 - - errors: - - {label: unc, value: 0.04528} - value: 0.37600 - - errors: - - {label: unc, value: 0.03962} - value: 0.37200 - - errors: - - {label: unc, value: 0.03466} - value: 0.29800 - - errors: - - {label: unc, value: 0.03189} - value: 0.22400 - - errors: - - {label: unc, value: 0.02062} - value: 0.16600 - - errors: - - {label: unc, value: 0.01487} - value: 0.09500 - - errors: - - {label: unc, value: 0.00786} - value: 0.03960 -independent_variables: -- header: {name: "x"} - values: - - {high: 0.00400, low: 0.00250, value: 0.00360} - - {high: 0.00500, low: 0.00400, value: 0.00450} - - {high: 0.00600, low: 0.00500, value: 0.00550} - - {high: 0.00800, low: 0.00600, value: 0.00700} - - {high: 0.00100, low: 0.00800, value: 0.00900} - - {high: 0.01400, low: 0.01000, value: 0.01190} - - {high: 0.02000, low: 0.01400, value: 0.01670} - - {high: 0.03000, low: 0.02000, value: 0.02440} - - {high: 0.04000, low: 0.03000, value: 0.03460} - - {high: 0.06000, low: 0.04000, value: 0.04880} - - {high: 0.10000, low: 0.06000, value: 0.07680} - - {high: 0.15000, low: 0.10000, value: 0.12200} - - {high: 0.20000, low: 0.15000, value: 0.17200} - - {high: 0.25000, low: 0.20000, value: 0.22300} - - {high: 0.35000, low: 0.25000, value: 0.29200} - - {high: 0.50000, low: 0.35000, value: 0.40700} - - {high: 0.70000, low: 0.50000, value: 0.57000} -- header: {name: "Q2"} - values: - - {value: 1.10000} - - {value: 1.23000} - - {value: 1.39000} - - {value: 1.61000} - - {value: 1.91000} - - {value: 2.33000} - - {value: 3.03000} - - {value: 4.11000} - - {value: 5.60000} - - {value: 7.64000} - - {value: 11.70000} - - {value: 18.00000} - - {value: 24.80000} - - {value: 31.30000} - - {value: 39.50000} - - {value: 52.00000} - - {value: 67.40000} diff --git a/data/E142_G1N.yaml b/data/E142_G1N.yaml deleted file mode 100644 index c5426ffb3..000000000 --- a/data/E142_G1N.yaml +++ /dev/null @@ -1,55 +0,0 @@ -dependent_variables: -- header: {title: "E142 g1n structure function"} - qualifiers: - - {name: process, value: pDIS} - - {name: observable, value: g1n} - - {name: target_isoscalarity, value: 0.} - - {name: prefactor, value: 1.} - - {name: Vs, value: 58.056 , units: GeV} - - {name: x, low: 0.035 , high: 0.466 , integrate: false} - values: - - errors: - - {label: unc, value: 0.19326} - value: -0.26900 - - errors: - - {label: unc, value: 0.08932} - value: -0.17700 - - errors: - - {label: unc, value: 0.05061} - value: -0.15100 - - errors: - - {label: unc, value: 0.03801} - value: -0.14600 - - errors: - - {label: unc, value: 0.03106} - value: -0.10500 - - errors: - - {label: unc, value: 0.02012} - value: -0.04500 - - errors: - - {label: unc, value: 0.01965} - value: 0.01100 - - errors: - - {label: unc, value: 0.01628} - value: 0.00000 -independent_variables: -- header: {name: "x"} - values: - - {high: 0.04000, low: 0.03000, value: 0.03500} - - {high: 0.06000, low: 0.04000, value: 0.05000} - - {high: 0.10000, low: 0.06000, value: 0.08100} - - {high: 0.15000, low: 0.10000, value: 0.12400} - - {high: 0.20000, low: 0.15000, value: 0.17400} - - {high: 0.30000, low: 0.20000, value: 0.24500} - - {high: 0.40000, low: 0.30000, value: 0.34100} - - {high: 0.60000, low: 0.40000, value: 0.46600} -- header: {name: "Q2"} - values: - - {value: 1.10000} - - {value: 1.20000} - - {value: 1.80000} - - {value: 2.50000} - - {value: 3.10000} - - {value: 3.70000} - - {value: 4.40000} - - {value: 5.50000} diff --git a/data/E143_G1D.yaml b/data/E143_G1D.yaml deleted file mode 100644 index 00071f888..000000000 --- a/data/E143_G1D.yaml +++ /dev/null @@ -1,183 +0,0 @@ -dependent_variables: -- header: {title: "E143 g1d structure function"} - qualifiers: - - {name: process, value: pDIS} - - {name: observable, value: g1d} - - {name: target_isoscalarity, value: 0.5} - - {name: prefactor, value: 1.} - - {name: Vs, value: 4.368 , units: GeV} - - {name: x, low: 0.031 , high: 0.749 , integrate: false} - values: - - errors: - - {label: unc, value: 0.15003} - - {label: mult, value: 0.049} - value: 0.15000 - - errors: - - {label: unc, value: 0.10017} - - {label: mult, value: 0.049} - value: 0.02700 - - errors: - - {label: unc, value: 0.08271} - - {label: mult, value: 0.049} - value: 0.19100 - - errors: - - {label: unc, value: 0.07009} - - {label: mult, value: 0.049} - value: -0.03600 - - errors: - - {label: unc, value: 0.06042} - - {label: mult, value: 0.049} - value: -0.03400 - - errors: - - {label: unc, value: 0.05295} - - {label: mult, value: 0.049} - value: 0.03900 - - errors: - - {label: unc, value: 0.04571} - - {label: mult, value: 0.049} - value: 0.02700 - - errors: - - {label: unc, value: 0.04144} - - {label: mult, value: 0.049} - value: 0.05300 - - errors: - - {label: unc, value: 0.03734} - - {label: mult, value: 0.049} - value: 0.03900 - - errors: - - {label: unc, value: 0.03140} - - {label: mult, value: 0.049} - value: 0.12300 - - errors: - - {label: unc, value: 0.02927} - - {label: mult, value: 0.049} - value: 0.08200 - - errors: - - {label: unc, value: 0.02617} - - {label: mult, value: 0.049} - value: 0.06700 - - errors: - - {label: unc, value: 0.02433} - - {label: mult, value: 0.049} - value: 0.13500 - - errors: - - {label: unc, value: 0.02236} - - {label: mult, value: 0.049} - value: 0.13800 - - errors: - - {label: unc, value: 0.02121} - - {label: mult, value: 0.049} - value: 0.07500 - - errors: - - {label: unc, value: 0.02062} - - {label: mult, value: 0.049} - value: 0.14700 - - errors: - - {label: unc, value: 0.01772} - - {label: mult, value: 0.049} - value: 0.07000 - - errors: - - {label: unc, value: 0.01676} - - {label: mult, value: 0.049} - value: 0.07200 - - errors: - - {label: unc, value: 0.01746} - - {label: mult, value: 0.049} - value: 0.04900 - - errors: - - {label: unc, value: 0.01649} - - {label: mult, value: 0.049} - value: 0.08900 - - errors: - - {label: unc, value: 0.01552} - - {label: mult, value: 0.049} - value: 0.09100 - - errors: - - {label: unc, value: 0.01456} - - {label: mult, value: 0.049} - value: 0.07600 - - errors: - - {label: unc, value: 0.01334} - - {label: mult, value: 0.049} - value: 0.04500 - - errors: - - {label: unc, value: 0.01217} - - {label: mult, value: 0.049} - value: 0.04500 - - errors: - - {label: unc, value: 0.01118} - - {label: mult, value: 0.049} - value: 0.04300 - - errors: - - {label: unc, value: 0.00906} - - {label: mult, value: 0.049} - value: 0.01900 - - errors: - - {label: unc, value: 0.00707} - - {label: mult, value: 0.049} - value: 0.00800 - - errors: - - {label: unc, value: 0.00510} - - {label: mult, value: 0.049} - value: 0.00900 -independent_variables: -- header: {name: "x"} - values: - - {high: 0.03300, low: 0.02900, value: 0.03100} - - {high: 0.03700, low: 0.03300, value: 0.03500} - - {high: 0.04200, low: 0.03700, value: 0.03900} - - {high: 0.04700, low: 0.04200, value: 0.04400} - - {high: 0.05300, low: 0.04700, value: 0.04900} - - {high: 0.05900, low: 0.05300, value: 0.05600} - - {high: 0.06700, low: 0.05900, value: 0.06300} - - {high: 0.07500, low: 0.06700, value: 0.07100} - - {high: 0.08400, low: 0.07500, value: 0.07900} - - {high: 0.09500, low: 0.08400, value: 0.09000} - - {high: 0.10700, low: 0.09500, value: 0.10100} - - {high: 0.12000, low: 0.10700, value: 0.11300} - - {high: 0.13600, low: 0.12000, value: 0.12800} - - {high: 0.15300, low: 0.13600, value: 0.14400} - - {high: 0.17200, low: 0.15300, value: 0.16200} - - {high: 0.19300, low: 0.17200, value: 0.18200} - - {high: 0.21800, low: 0.19300, value: 0.20500} - - {high: 0.24500, low: 0.21800, value: 0.23000} - - {high: 0.27600, low: 0.24500, value: 0.25900} - - {high: 0.31000, low: 0.27600, value: 0.29200} - - {high: 0.34900, low: 0.31000, value: 0.32900} - - {high: 0.39300, low: 0.34900, value: 0.37000} - - {high: 0.44200, low: 0.39300, value: 0.41600} - - {high: 0.49700, low: 0.44200, value: 0.46800} - - {high: 0.55900, low: 0.49700, value: 0.52600} - - {high: 0.62900, low: 0.55900, value: 0.59200} - - {high: 0.70800, low: 0.62900, value: 0.66600} - - {high: 0.79100, low: 0.70800, value: 0.74900} -- header: {name: "Q2"} - values: - - {value: 1.27000} - - {value: 1.40000} - - {value: 1.52000} - - {value: 1.65000} - - {value: 1.78000} - - {value: 1.91000} - - {value: 2.04000} - - {value: 2.19000} - - {value: 2.41000} - - {value: 2.55000} - - {value: 2.85000} - - {value: 3.13000} - - {value: 3.41000} - - {value: 3.71000} - - {value: 4.03000} - - {value: 4.34000} - - {value: 4.15000} - - {value: 4.37000} - - {value: 5.26000} - - {value: 5.53000} - - {value: 6.01000} - - {value: 6.29000} - - {value: 6.56000} - - {value: 6.79000} - - {value: 7.72000} - - {value: 7.97000} - - {value: 9.26000} - - {value: 9.52000} diff --git a/data/E143_G1P.yaml b/data/E143_G1P.yaml deleted file mode 100644 index 01c97b547..000000000 --- a/data/E143_G1P.yaml +++ /dev/null @@ -1,183 +0,0 @@ -dependent_variables: -- header: {title: "E143 g1p structure function"} - qualifiers: - - {name: process, value: pDIS} - - {name: observable, value: g1p} - - {name: target_isoscalarity, value: 1.} - - {name: prefactor, value: 1.} - - {name: Vs, value: 4.368 , units: GeV} - - {name: x, low: 0.031 , high: 0.749 , integrate: false} - values: - - errors: - - {label: unc, value: 0.13631} - - {label: mult, value: 0.037} - value: 0.24800 - - errors: - - {label: unc, value: 0.09458} - - {label: mult, value: 0.037} - value: 0.43600 - - errors: - - {label: unc, value: 0.07716} - - {label: mult, value: 0.037} - value: 0.26900 - - errors: - - {label: unc, value: 0.06579} - - {label: mult, value: 0.037} - value: 0.32200 - - errors: - - {label: unc, value: 0.05630} - - {label: mult, value: 0.037} - value: 0.32700 - - errors: - - {label: unc, value: 0.04810} - - {label: mult, value: 0.037} - value: 0.30900 - - errors: - - {label: unc, value: 0.04179} - - {label: mult, value: 0.037} - value: 0.26600 - - errors: - - {label: unc, value: 0.03677} - - {label: mult, value: 0.037} - value: 0.29400 - - errors: - - {label: unc, value: 0.03401} - - {label: mult, value: 0.037} - value: 0.31000 - - errors: - - {label: unc, value: 0.02683} - - {label: mult, value: 0.037} - value: 0.26000 - - errors: - - {label: unc, value: 0.02506} - - {label: mult, value: 0.037} - value: 0.29900 - - errors: - - {label: unc, value: 0.02371} - - {label: mult, value: 0.037} - value: 0.27200 - - errors: - - {label: unc, value: 0.02147} - - {label: mult, value: 0.037} - value: 0.26200 - - errors: - - {label: unc, value: 0.02059} - - {label: mult, value: 0.037} - value: 0.23900 - - errors: - - {label: unc, value: 0.01972} - - {label: mult, value: 0.037} - value: 0.25300 - - errors: - - {label: unc, value: 0.01836} - - {label: mult, value: 0.037} - value: 0.24300 - - errors: - - {label: unc, value: 0.01664} - - {label: mult, value: 0.037} - value: 0.23100 - - errors: - - {label: unc, value: 0.01612} - - {label: mult, value: 0.037} - value: 0.20600 - - errors: - - {label: unc, value: 0.01612} - - {label: mult, value: 0.037} - value: 0.24200 - - errors: - - {label: unc, value: 0.01565} - - {label: mult, value: 0.037} - value: 0.19200 - - errors: - - {label: unc, value: 0.01523} - - {label: mult, value: 0.037} - value: 0.16800 - - errors: - - {label: unc, value: 0.01393} - - {label: mult, value: 0.037} - value: 0.14400 - - errors: - - {label: unc, value: 0.01300} - - {label: mult, value: 0.037} - value: 0.14800 - - errors: - - {label: unc, value: 0.01170} - - {label: mult, value: 0.037} - value: 0.11400 - - errors: - - {label: unc, value: 0.01044} - - {label: mult, value: 0.037} - value: 0.08400 - - errors: - - {label: unc, value: 0.00922} - - {label: mult, value: 0.037} - value: 0.04800 - - errors: - - {label: unc, value: 0.00707} - - {label: mult, value: 0.037} - value: 0.02100 - - errors: - - {label: unc, value: 0.00510} - - {label: mult, value: 0.037} - value: 0.01500 -independent_variables: -- header: {name: "x"} - values: - - {high: 0.03300, low: 0.02900, value: 0.03100} - - {high: 0.03700, low: 0.03300, value: 0.03500} - - {high: 0.04200, low: 0.03700, value: 0.03900} - - {high: 0.04700, low: 0.04200, value: 0.04400} - - {high: 0.05300, low: 0.04700, value: 0.04900} - - {high: 0.05900, low: 0.05300, value: 0.05600} - - {high: 0.06700, low: 0.05900, value: 0.06300} - - {high: 0.07500, low: 0.06700, value: 0.07100} - - {high: 0.08400, low: 0.07500, value: 0.07900} - - {high: 0.09500, low: 0.08400, value: 0.09000} - - {high: 0.10700, low: 0.09500, value: 0.10100} - - {high: 0.12000, low: 0.10700, value: 0.11300} - - {high: 0.13600, low: 0.12000, value: 0.12800} - - {high: 0.15300, low: 0.13600, value: 0.14400} - - {high: 0.17200, low: 0.15300, value: 0.16200} - - {high: 0.19300, low: 0.17200, value: 0.18200} - - {high: 0.21800, low: 0.19300, value: 0.20500} - - {high: 0.24500, low: 0.21800, value: 0.23000} - - {high: 0.27600, low: 0.24500, value: 0.25900} - - {high: 0.31000, low: 0.27600, value: 0.29200} - - {high: 0.34900, low: 0.31000, value: 0.32900} - - {high: 0.39300, low: 0.34900, value: 0.37000} - - {high: 0.44200, low: 0.39300, value: 0.41600} - - {high: 0.49700, low: 0.44200, value: 0.46800} - - {high: 0.55900, low: 0.49700, value: 0.52600} - - {high: 0.62900, low: 0.55900, value: 0.59200} - - {high: 0.70800, low: 0.62900, value: 0.66600} - - {high: 0.79100, low: 0.70800, value: 0.74900} -- header: {name: "Q2"} - values: - - {value: 1.27000} - - {value: 1.40000} - - {value: 1.52000} - - {value: 1.65000} - - {value: 1.78000} - - {value: 1.91000} - - {value: 2.04000} - - {value: 2.19000} - - {value: 2.41000} - - {value: 2.55000} - - {value: 2.85000} - - {value: 3.13000} - - {value: 3.41000} - - {value: 3.71000} - - {value: 4.03000} - - {value: 4.34000} - - {value: 4.15000} - - {value: 4.37000} - - {value: 5.26000} - - {value: 5.53000} - - {value: 6.01000} - - {value: 6.29000} - - {value: 6.56000} - - {value: 6.79000} - - {value: 7.72000} - - {value: 7.97000} - - {value: 9.26000} - - {value: 9.52000} diff --git a/data/E154_G1N.yaml b/data/E154_G1N.yaml deleted file mode 100644 index 332c24f7a..000000000 --- a/data/E154_G1N.yaml +++ /dev/null @@ -1,70 +0,0 @@ -dependent_variables: -- header: {title: "E154 g1n structure function"} - qualifiers: - - {name: process, value: pDIS} - - {name: observable, value: g1n} - - {name: target_isoscalarity, value: 0.} - - {name: prefactor, value: 1.} - - {name: Vs, value: 9.555 , units: GeV} - - {name: x, low: 0.017 , high: 0.024 , integrate: false} - values: - - errors: - - {label: unc, value: 0.15914} - value: -0.35100 - - errors: - - {label: unc, value: 0.09626} - value: -0.37400 - - errors: - - {label: unc, value: 0.07240} - value: -0.29000 - - errors: - - {label: unc, value: 0.04565} - value: -0.20400 - - errors: - - {label: unc, value: 0.02640} - value: -0.13700 - - errors: - - {label: unc, value: 0.01921} - value: -0.10800 - - errors: - - {label: unc, value: 0.01664} - value: -0.06100 - - errors: - - {label: unc, value: 0.01304} - value: -0.04200 - - errors: - - {label: unc, value: 0.01208} - value: -0.01700 - - errors: - - {label: unc, value: 0.01118} - value: -0.00700 - - errors: - - {label: unc, value: 0.00806} - value: 0.00300 -independent_variables: -- header: {name: "x"} - values: - - {high: 0.02000, low: 0.01400, value: 0.01700} - - {high: 0.03000, low: 0.02000, value: 0.02400} - - {high: 0.04000, low: 0.03000, value: 0.03500} - - {high: 0.06000, low: 0.04000, value: 0.04900} - - {high: 0.10000, low: 0.06000, value: 0.08100} - - {high: 0.15000, low: 0.10000, value: 0.12300} - - {high: 0.20000, low: 0.15000, value: 0.17300} - - {high: 0.30000, low: 0.20000, value: 0.24200} - - {high: 0.40000, low: 0.30000, value: 0.34200} - - {high: 0.50000, low: 0.40000, value: 0.44100} - - {high: 0.70000, low: 0.50000, value: 0.56400} -- header: {name: "Q2"} - values: - - {value: 1.20000} - - {value: 1.60000} - - {value: 2.00000} - - {value: 2.60000} - - {value: 4.40000} - - {value: 6.60000} - - {value: 8.20000} - - {value: 9.80000} - - {value: 11.70000} - - {value: 13.30000} - - {value: 15.00000} diff --git a/data/E155_G1N_F1N.yaml b/data/E155_G1N_F1N.yaml deleted file mode 100644 index 6fa665965..000000000 --- a/data/E155_G1N_F1N.yaml +++ /dev/null @@ -1,159 +0,0 @@ -dependent_variables: -- header: {title: "E155 g1n/F1n structure function ratio"} - qualifiers: - - {name: process, value: pDIS} - - {name: observable, value: g1n/F1n} - - {name: target_isoscalarity, value: 0.} - - {name: prefactor, value: 1.} - - {name: Vs, value: 9.57 , units: GeV} - - {name: x, low: 0.015 , high: 0.75 , integrate: false} - values: - - errors: - - {label: unc, value: 0.03748} - - {label: mult, value: 0.14} - value: -0.12500 - - errors: - - {label: unc, value: 0.03471} - - {label: mult, value: 0.14} - value: -0.03800 - - errors: - - {label: unc, value: 0.03493} - - {label: mult, value: 0.14} - value: -0.04000 - - errors: - - {label: unc, value: 0.03764} - - {label: mult, value: 0.14} - value: -0.05400 - - errors: - - {label: unc, value: 0.40018} - - {label: mult, value: 0.14} - value: -0.85200 - - errors: - - {label: unc, value: 0.04123} - - {label: mult, value: 0.14} - value: -0.03900 - - errors: - - {label: unc, value: 0.05092} - - {label: mult, value: 0.14} - value: -0.15700 - - errors: - - {label: unc, value: 0.05727} - - {label: mult, value: 0.14} - value: -0.03400 - - errors: - - {label: unc, value: 0.04220} - - {label: mult, value: 0.14} - value: -0.06600 - - errors: - - {label: unc, value: 0.23964} - - {label: mult, value: 0.14} - value: -0.42500 - - errors: - - {label: unc, value: 0.11163} - - {label: mult, value: 0.14} - value: -0.08800 - - errors: - - {label: unc, value: 0.06657} - - {label: mult, value: 0.14} - value: -0.07700 - - errors: - - {label: unc, value: 0.11577} - - {label: mult, value: 0.14} - value: -0.01000 - - errors: - - {label: unc, value: 0.12572} - - {label: mult, value: 0.14} - value: -0.00700 - - errors: - - {label: unc, value: 0.07849} - - {label: mult, value: 0.14} - value: -0.02700 - - errors: - - {label: unc, value: 0.09420} - - {label: mult, value: 0.14} - value: -0.06900 - - errors: - - {label: unc, value: 0.29864} - - {label: mult, value: 0.14} - value: 0.16400 - - errors: - - {label: unc, value: 0.15370} - - {label: mult, value: 0.14} - value: 0.10300 - - errors: - - {label: unc, value: 0.18253} - - {label: mult, value: 0.14} - value: 0.05500 - - errors: - - {label: unc, value: 0.43310} - - {label: mult, value: 0.14} - value: 0.15500 - - errors: - - {label: unc, value: 0.22383} - - {label: mult, value: 0.14} - value: 0.01700 - - errors: - - {label: unc, value: 0.33333} - - {label: mult, value: 0.14} - value: 0.05700 - - errors: - - {label: unc, value: 0.78826} - - {label: mult, value: 0.14} - value: 0.61600 - - errors: - - {label: unc, value: 3.14403} - - {label: mult, value: 0.14} - value: 0.25400 -independent_variables: -- header: {name: "x"} - values: - - {value: 0.01500} - - {value: 0.02500} - - {value: 0.03500} - - {value: 0.05000} - - {value: 0.05000} - - {value: 0.08000} - - {value: 0.08000} - - {value: 0.12500} - - {value: 0.12500} - - {value: 0.12500} - - {value: 0.17500} - - {value: 0.17500} - - {value: 0.17500} - - {value: 0.25000} - - {value: 0.25000} - - {value: 0.25000} - - {value: 0.35000} - - {value: 0.35000} - - {value: 0.35000} - - {value: 0.50000} - - {value: 0.50000} - - {value: 0.50000} - - {value: 0.75000} - - {value: 0.75000} -- header: {name: "Q2"} - values: - - {value: 1.22000} - - {value: 1.59000} - - {value: 2.05000} - - {value: 2.58000} - - {value: 4.01000} - - {value: 3.24000} - - {value: 5.36000} - - {value: 4.03000} - - {value: 7.17000} - - {value: 10.99000} - - {value: 4.62000} - - {value: 8.90000} - - {value: 13.19000} - - {value: 5.06000} - - {value: 10.64000} - - {value: 17.21000} - - {value: 5.51000} - - {value: 12.60000} - - {value: 22.73000} - - {value: 5.77000} - - {value: 14.02000} - - {value: 26.86000} - - {value: 15.70000} - - {value: 34.72000} diff --git a/data/E155_G1P_F1P.yaml b/data/E155_G1P_F1P.yaml deleted file mode 100644 index 900c21bd3..000000000 --- a/data/E155_G1P_F1P.yaml +++ /dev/null @@ -1,159 +0,0 @@ -dependent_variables: -- header: {title: "E155 g1p/F1p structure function ratio"} - qualifiers: - - {name: process, value: pDIS} - - {name: observable, value: g1p/F1p} - - {name: target_isoscalarity, value: 1.} - - {name: prefactor, value: 1.} - - {name: Vs, value: 9.57 , units: GeV} - - {name: x, low: 0.015 , high: 0.75 , integrate: false} - values: - - errors: - - {label: unc, value: 0.00985} - - {label: mult, value: 0.14} - value: 0.04800 - - errors: - - {label: unc, value: 0.01000} - - {label: mult, value: 0.14} - value: 0.05700 - - errors: - - {label: unc, value: 0.01063} - - {label: mult, value: 0.14} - value: 0.07000 - - errors: - - {label: unc, value: 0.01273} - - {label: mult, value: 0.14} - value: 0.11100 - - errors: - - {label: unc, value: 0.08846} - - {label: mult, value: 0.14} - value: 0.22200 - - errors: - - {label: unc, value: 0.01581} - - {label: mult, value: 0.14} - value: 0.15500 - - errors: - - {label: unc, value: 0.01703} - - {label: mult, value: 0.14} - value: 0.15000 - - errors: - - {label: unc, value: 0.02163} - - {label: mult, value: 0.14} - value: 0.18600 - - errors: - - {label: unc, value: 0.01931} - - {label: mult, value: 0.14} - value: 0.20900 - - errors: - - {label: unc, value: 0.05408} - - {label: mult, value: 0.14} - value: 0.30700 - - errors: - - {label: unc, value: 0.03253} - - {label: mult, value: 0.14} - value: 0.27300 - - errors: - - {label: unc, value: 0.02594} - - {label: mult, value: 0.14} - value: 0.24700 - - errors: - - {label: unc, value: 0.03183} - - {label: mult, value: 0.14} - value: 0.30500 - - errors: - - {label: unc, value: 0.03780} - - {label: mult, value: 0.14} - value: 0.35800 - - errors: - - {label: unc, value: 0.03195} - - {label: mult, value: 0.14} - value: 0.35300 - - errors: - - {label: unc, value: 0.03311} - - {label: mult, value: 0.14} - value: 0.39600 - - errors: - - {label: unc, value: 0.06263} - - {label: mult, value: 0.14} - value: 0.42400 - - errors: - - {label: unc, value: 0.04383} - - {label: mult, value: 0.14} - value: 0.46600 - - errors: - - {label: unc, value: 0.04549} - - {label: mult, value: 0.14} - value: 0.50000 - - errors: - - {label: unc, value: 0.07529} - - {label: mult, value: 0.14} - value: 0.56100 - - errors: - - {label: unc, value: 0.05367} - - {label: mult, value: 0.14} - value: 0.56100 - - errors: - - {label: unc, value: 0.06378} - - {label: mult, value: 0.14} - value: 0.50700 - - errors: - - {label: unc, value: 0.10383} - - {label: mult, value: 0.14} - value: 0.62200 - - errors: - - {label: unc, value: 0.40807} - - {label: mult, value: 0.14} - value: 0.55900 -independent_variables: -- header: {name: "x"} - values: - - {value: 0.01500} - - {value: 0.02500} - - {value: 0.03500} - - {value: 0.05000} - - {value: 0.05000} - - {value: 0.08000} - - {value: 0.08000} - - {value: 0.12500} - - {value: 0.12500} - - {value: 0.12500} - - {value: 0.17500} - - {value: 0.17500} - - {value: 0.17500} - - {value: 0.25000} - - {value: 0.25000} - - {value: 0.25000} - - {value: 0.35000} - - {value: 0.35000} - - {value: 0.35000} - - {value: 0.50000} - - {value: 0.50000} - - {value: 0.50000} - - {value: 0.75000} - - {value: 0.75000} -- header: {name: "Q2"} - values: - - {value: 1.22000} - - {value: 1.59000} - - {value: 2.05000} - - {value: 2.58000} - - {value: 4.01000} - - {value: 3.24000} - - {value: 5.36000} - - {value: 4.03000} - - {value: 7.17000} - - {value: 10.99000} - - {value: 4.62000} - - {value: 8.90000} - - {value: 13.19000} - - {value: 5.06000} - - {value: 10.64000} - - {value: 17.21000} - - {value: 5.51000} - - {value: 12.60000} - - {value: 22.73000} - - {value: 5.77000} - - {value: 14.02000} - - {value: 26.86000} - - {value: 15.70000} - - {value: 34.72000} diff --git a/data/EMC_G1P.yaml b/data/EMC_G1P.yaml deleted file mode 100644 index ecb61f4b4..000000000 --- a/data/EMC_G1P.yaml +++ /dev/null @@ -1,75 +0,0 @@ -dependent_variables: -- header: {title: "EMC g1p structure function"} - qualifiers: - - {name: process, value: pDIS} - - {name: observable, value: g1p} - - {name: target_isoscalarity, value: 1.} - - {name: prefactor, value: 1.} - - {name: Vs, value: 16.561 , units: GeV} - - {name: x, low: 0.015 , high: 0.466 , integrate: false} - values: - - errors: - - {label: unc, value: 0.51053} - - {label: mult, value: 0.14} - value: 0.27900 - - errors: - - {label: unc, value: 0.36770} - - {label: mult, value: 0.14} - value: 0.56400 - - errors: - - {label: unc, value: 0.32527} - - {label: mult, value: 0.14} - value: 0.11500 - - errors: - - {label: unc, value: 0.20648} - - {label: mult, value: 0.14} - value: 0.25400 - - errors: - - {label: unc, value: 0.13152} - - {label: mult, value: 0.14} - value: 0.28000 - - errors: - - {label: unc, value: 0.10748} - - {label: mult, value: 0.14} - value: 0.22500 - - errors: - - {label: unc, value: 0.10182} - - {label: mult, value: 0.14} - value: 0.31100 - - errors: - - {label: unc, value: 0.06788} - - {label: mult, value: 0.14} - value: 0.25300 - - errors: - - {label: unc, value: 0.06223} - - {label: mult, value: 0.14} - value: 0.16700 - - errors: - - {label: unc, value: 0.03536} - - {label: mult, value: 0.14} - value: 0.09400 -independent_variables: -- header: {name: "x"} - values: - - {value: 0.01500} - - {value: 0.02500} - - {value: 0.03500} - - {value: 0.05000} - - {value: 0.07800} - - {value: 0.12400} - - {value: 0.17500} - - {value: 0.24800} - - {value: 0.34400} - - {value: 0.46600} -- header: {name: "Q2"} - values: - - {value: 3.50000} - - {value: 4.50000} - - {value: 6.00000} - - {value: 8.00000} - - {value: 10.30000} - - {value: 12.90000} - - {value: 15.20000} - - {value: 18.00000} - - {value: 22.50000} - - {value: 29.50000} diff --git a/data/HERMES_G1N.yaml b/data/HERMES_G1N.yaml deleted file mode 100644 index 7ae06476b..000000000 --- a/data/HERMES_G1N.yaml +++ /dev/null @@ -1,60 +0,0 @@ -dependent_variables: -- header: {title: "HERMES g1n structure function"} - qualifiers: - - {name: process, value: pDIS} - - {name: observable, value: g1n} - - {name: target_isoscalarity, value: 0.} - - {name: prefactor, value: 1.} - - {name: Vs, value: 7.236 , units: GeV} - - {name: x, low: 0.033 , high: 0.464 , integrate: false} - values: - - errors: - - {label: unc, value: 0.16539} - value: -0.36700 - - errors: - - {label: unc, value: 0.12712} - value: -0.26300 - - errors: - - {label: unc, value: 0.10127} - value: -0.13500 - - errors: - - {label: unc, value: 0.08927} - value: -0.17200 - - errors: - - {label: unc, value: 0.07004} - value: -0.09600 - - errors: - - {label: unc, value: 0.05787} - value: -0.10400 - - errors: - - {label: unc, value: 0.04627} - value: -0.03100 - - errors: - - {label: unc, value: 0.04627} - value: 0.03100 - - errors: - - {label: unc, value: 0.03314} - value: -0.01300 -independent_variables: -- header: {name: "x"} - values: - - {high: 0.04000, low: 0.02300, value: 0.03300} - - {high: 0.05500, low: 0.04000, value: 0.04700} - - {high: 0.07500, low: 0.05500, value: 0.06500} - - {high: 0.10000, low: 0.07500, value: 0.08700} - - {high: 0.14000, low: 0.10000, value: 0.11900} - - {high: 0.20000, low: 0.14000, value: 0.16800} - - {high: 0.30000, low: 0.20000, value: 0.24400} - - {high: 0.40000, low: 0.30000, value: 0.34200} - - {high: 0.60000, low: 0.40000, value: 0.46400} -- header: {name: "Q2"} - values: - - {value: 1.22000} - - {value: 1.47000} - - {value: 1.73000} - - {value: 1.99000} - - {value: 2.30000} - - {value: 2.65000} - - {value: 3.07000} - - {value: 3.86000} - - {value: 5.25000} diff --git a/data/JLAB_E06_014_G1N_F1N.yaml b/data/JLAB_E06_014_G1N_F1N.yaml deleted file mode 100644 index 5d578ba6f..000000000 --- a/data/JLAB_E06_014_G1N_F1N.yaml +++ /dev/null @@ -1,45 +0,0 @@ -dependent_variables: -- header: {title: "JLAB_E06_014 g1n/F1n structure function ratio"} - qualifiers: - - {name: process, value: pDIS} - - {name: observable, value: g1n/F1n} - - {name: target_isoscalarity, value: 0.} - - {name: prefactor, value: 1.} - - {name: Vs, value: 1.75 , units: GeV} - - {name: x, low: 0.277 , high: 0.548 , integrate: false} - values: - - errors: - - {label: unc, value: 0.05923} - value: 0.04400 - - errors: - - {label: unc, value: 0.03421} - value: -0.00200 - - errors: - - {label: unc, value: 0.02973} - value: 0.05300 - - errors: - - {label: unc, value: 0.03231} - value: -0.06000 - - errors: - - {label: unc, value: 0.03992} - value: -0.05300 - - errors: - - {label: unc, value: 0.06964} - value: 0.11000 -independent_variables: -- header: {name: "x"} - values: - - {value: 0.27700} - - {value: 0.32500} - - {value: 0.37400} - - {value: 0.42400} - - {value: 0.47400} - - {value: 0.54800} -- header: {name: "Q2"} - values: - - {value: 3.07800} - - {value: 3.07800} - - {value: 3.07800} - - {value: 3.07800} - - {value: 3.07800} - - {value: 3.07800} diff --git a/data/JLAB_E97_103_G1N.yaml b/data/JLAB_E97_103_G1N.yaml deleted file mode 100644 index f15dc1522..000000000 --- a/data/JLAB_E97_103_G1N.yaml +++ /dev/null @@ -1,40 +0,0 @@ -dependent_variables: -- header: {title: "JLAB_E97_103 g1n structure function"} - qualifiers: - - {name: process, value: pDIS} - - {name: observable, value: g1n} - - {name: target_isoscalarity, value: 0.} - - {name: prefactor, value: 1.} - - {name: Vs, value: 3.059 , units: GeV} - - {name: x, low: 0.16 , high: 0.2 , integrate: false} - values: - - errors: - - {label: unc, value: 0.01018} - value: -0.07190 - - errors: - - {label: unc, value: 0.01040} - value: -0.05570 - - errors: - - {label: unc, value: 0.00946} - value: -0.05120 - - errors: - - {label: unc, value: 0.00878} - value: -0.04260 - - errors: - - {label: unc, value: 0.00875} - value: -0.03690 -independent_variables: -- header: {name: "x"} - values: - - {value: 0.16000} - - {value: 0.18000} - - {value: 0.19000} - - {value: 0.19000} - - {value: 0.20000} -- header: {name: "Q2"} - values: - - {value: 0.57000} - - {value: 0.78000} - - {value: 0.94000} - - {value: 1.13000} - - {value: 1.34000} diff --git a/data/JLAB_E99_117_G1N_F1N.yaml b/data/JLAB_E99_117_G1N_F1N.yaml deleted file mode 100644 index 6be3f2b96..000000000 --- a/data/JLAB_E99_117_G1N_F1N.yaml +++ /dev/null @@ -1,30 +0,0 @@ -dependent_variables: -- header: {title: "JLAB_E99_117 g1n/F1n structure function ratio"} - qualifiers: - - {name: process, value: pDIS} - - {name: observable, value: g1n/F1n} - - {name: target_isoscalarity, value: 0.} - - {name: prefactor, value: 1.} - - {name: Vs, value: 3.398 , units: GeV} - - {name: x, low: 0.33 , high: 0.6 , integrate: false} - values: - - errors: - - {label: unc, value: 0.02377} - value: -0.04300 - - errors: - - {label: unc, value: 0.03669} - value: 0.04000 - - errors: - - {label: unc, value: 0.04776} - value: 0.12400 -independent_variables: -- header: {name: "x"} - values: - - {value: 0.33000} - - {value: 0.47000} - - {value: 0.60000} -- header: {name: "Q2"} - values: - - {value: 2.71000} - - {value: 3.52000} - - {value: 4.83000} diff --git a/data/JLAB_EG1_DVCS_G1D_F1D.yaml b/data/JLAB_EG1_DVCS_G1D_F1D.yaml deleted file mode 100644 index 4fc168195..000000000 --- a/data/JLAB_EG1_DVCS_G1D_F1D.yaml +++ /dev/null @@ -1,235 +0,0 @@ -dependent_variables: -- header: {title: "JLAB_EG1_DVCS g1d/F1d structure function ratio"} - qualifiers: - - {name: process, value: pDIS} - - {name: observable, value: g1d/F1d} - - {name: target_isoscalarity, value: 0.5} - - {name: prefactor, value: 1.} - - {name: Vs, value: 3.5 , units: GeV} - - {name: x, low: 0.158 , high: 0.574 , integrate: false} - values: - - errors: - - {label: unc, value: 0.03202} - value: 0.07200 - - errors: - - {label: unc, value: 0.02012} - value: 0.08700 - - errors: - - {label: unc, value: 0.01836} - value: 0.09300 - - errors: - - {label: unc, value: 0.02581} - value: 0.10800 - - errors: - - {label: unc, value: 0.03324} - value: 0.09700 - - errors: - - {label: unc, value: 0.02417} - value: 0.12300 - - errors: - - {label: unc, value: 0.02012} - value: 0.12200 - - errors: - - {label: unc, value: 0.02335} - value: 0.15100 - - errors: - - {label: unc, value: 0.03162} - value: 0.17600 - - errors: - - {label: unc, value: 0.02683} - value: 0.15300 - - errors: - - {label: unc, value: 0.02326} - value: 0.18300 - - errors: - - {label: unc, value: 0.02691} - value: 0.18800 - - errors: - - {label: unc, value: 0.05300} - value: 0.19100 - - errors: - - {label: unc, value: 0.03276} - value: 0.20900 - - errors: - - {label: unc, value: 0.02907} - value: 0.21000 - - errors: - - {label: unc, value: 0.02594} - value: 0.23600 - - errors: - - {label: unc, value: 0.03330} - value: 0.20000 - - errors: - - {label: unc, value: 0.03764} - value: 0.21000 - - errors: - - {label: unc, value: 0.03413} - value: 0.25900 - - errors: - - {label: unc, value: 0.03089} - value: 0.22800 - - errors: - - {label: unc, value: 0.02915} - value: 0.25500 - - errors: - - {label: unc, value: 0.05148} - value: 0.23900 - - errors: - - {label: unc, value: 0.04742} - value: 0.26700 - - errors: - - {label: unc, value: 0.03842} - value: 0.28100 - - errors: - - {label: unc, value: 0.03551} - value: 0.27000 - - errors: - - {label: unc, value: 0.03276} - value: 0.30300 - - errors: - - {label: unc, value: 0.03421} - value: 0.27100 - - errors: - - {label: unc, value: 0.06103} - value: 0.29100 - - errors: - - {label: unc, value: 0.04469} - value: 0.33300 - - errors: - - {label: unc, value: 0.04061} - value: 0.32100 - - errors: - - {label: unc, value: 0.03801} - value: 0.27600 - - errors: - - {label: unc, value: 0.03662} - value: 0.32100 - - errors: - - {label: unc, value: 0.05161} - value: 0.29000 - - errors: - - {label: unc, value: 0.08996} - value: 0.36800 - - errors: - - {label: unc, value: 0.05093} - value: 0.36500 - - errors: - - {label: unc, value: 0.04545} - value: 0.32200 - - errors: - - {label: unc, value: 0.04264} - value: 0.38900 - - errors: - - {label: unc, value: 0.04061} - value: 0.29200 - - errors: - - {label: unc, value: 0.04525} - value: 0.35900 - - errors: - - {label: unc, value: 0.05955} - value: 0.44500 - - errors: - - {label: unc, value: 0.05093} - value: 0.36300 - - errors: - - {label: unc, value: 0.04751} - value: 0.39900 - - errors: - - {label: unc, value: 0.04601} - value: 0.36800 - - errors: - - {label: unc, value: 0.04669} - value: 0.36200 -independent_variables: -- header: {name: "x"} - values: - - {value: 0.15800} - - {value: 0.17000} - - {value: 0.18000} - - {value: 0.19300} - - {value: 0.21400} - - {value: 0.22300} - - {value: 0.22400} - - {value: 0.23800} - - {value: 0.27100} - - {value: 0.27300} - - {value: 0.27400} - - {value: 0.28500} - - {value: 0.31600} - 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- {value: 2.42900} - - {value: 2.76400} - - {value: 1.72700} - - {value: 2.04600} - - {value: 2.43200} - - {value: 2.87800} - - {value: 3.25400} - - {value: 1.76200} - - {value: 2.05400} - - {value: 2.43600} - - {value: 2.89600} - - {value: 3.39300} - - {value: 1.79700} - - {value: 2.05000} - - {value: 2.43400} - - {value: 2.89200} - - {value: 3.44800} - - {value: 3.91700} - - {value: 1.81800} - - {value: 2.04000} - - {value: 2.43700} - - {value: 2.91000} - - {value: 3.45600} - - {value: 4.03200} - - {value: 2.05300} - - {value: 2.44600} - - {value: 2.91100} - - {value: 3.46900} - - {value: 4.11500} diff --git a/data/JLAB_EG1_DVCS_G1P_F1P.yaml b/data/JLAB_EG1_DVCS_G1P_F1P.yaml deleted file mode 100644 index 47ac646f6..000000000 --- a/data/JLAB_EG1_DVCS_G1P_F1P.yaml +++ /dev/null @@ -1,250 +0,0 @@ -dependent_variables: -- header: {title: "JLAB_EG1_DVCS g1p/F1p structure function ratio"} - qualifiers: - - {name: process, value: pDIS} - - {name: observable, value: g1p/F1p} - - {name: target_isoscalarity, value: 1.} - - {name: prefactor, value: 1.} - - {name: Vs, value: 3.5 , units: GeV} - - {name: x, low: 0.154 , high: 0.578 , integrate: false} - values: - - errors: - - {label: unc, value: 0.02900} - value: 0.22200 - - errors: - - {label: unc, value: 0.01825} - value: 0.24000 - - errors: - - {label: unc, value: 0.01628} - value: 0.24900 - - errors: - - {label: unc, value: 0.01676} - value: 0.25700 - - errors: - - {label: unc, value: 0.02921} - value: 0.27800 - - errors: - - {label: unc, value: 0.02138} - value: 0.29500 - - errors: - - {label: unc, value: 0.01825} - value: 0.30000 - - errors: - - {label: unc, value: 0.01746} - value: 0.31400 - - errors: - - {label: unc, value: 0.02657} - value: 0.36400 - - errors: - - {label: unc, value: 0.02335} - value: 0.34600 - - errors: - - {label: unc, value: 0.01924} - value: 0.34700 - - errors: - - {label: unc, value: 0.01844} - value: 0.36500 - - errors: - - {label: unc, value: 0.04604} - value: 0.44200 - - errors: - - {label: unc, value: 0.02668} - value: 0.39900 - - errors: - - {label: unc, value: 0.02335} - value: 0.39700 - - errors: - - {label: unc, value: 0.02022} - value: 0.39200 - - errors: - - {label: unc, value: 0.01965} - value: 0.41500 - - errors: - - {label: unc, value: 0.02879} - value: 0.40500 - - errors: - - {label: unc, value: 0.02648} - value: 0.44200 - - errors: - - {label: unc, value: 0.02335} - value: 0.44000 - - errors: - - {label: unc, value: 0.02040} - value: 0.43400 - - errors: - - {label: unc, value: 0.02062} - value: 0.46000 - - errors: - - {label: unc, value: 0.03276} - value: 0.46100 - - errors: - - {label: unc, value: 0.02720} - value: 0.42100 - - errors: - - {label: unc, value: 0.02550} - value: 0.46500 - - errors: - - {label: unc, value: 0.02256} - value: 0.48000 - - errors: - - {label: unc, value: 0.01965} - value: 0.47700 - - errors: - - {label: unc, value: 0.03124} - value: 0.47000 - - errors: - - {label: unc, value: 0.04319} - value: 0.53500 - - errors: - - {label: unc, value: 0.02973} - value: 0.49600 - - errors: - - {label: unc, value: 0.02693} - value: 0.44700 - - errors: - - {label: unc, value: 0.02571} - value: 0.49000 - - errors: - - {label: unc, value: 0.02159} - value: 0.51400 - - errors: - - {label: unc, value: 0.02154} - value: 0.50800 - - errors: - - {label: unc, value: 0.10153} - value: 0.51600 - - errors: - - {label: unc, value: 0.03138} - value: 0.54000 - - errors: - - {label: unc, value: 0.02912} - value: 0.52900 - - errors: - - {label: unc, value: 0.02693} - value: 0.48100 - - errors: - - {label: unc, value: 0.02474} - value: 0.50800 - - errors: - - {label: unc, value: 0.02214} - value: 0.52800 - - errors: - - {label: unc, value: 0.04652} - value: 0.59700 - - errors: - - {label: unc, value: 0.03400} - value: 0.53700 - - errors: - - {label: unc, value: 0.03068} - value: 0.54500 - - errors: - - {label: unc, value: 0.02816} - value: 0.55600 - - errors: - - {label: unc, value: 0.02625} - value: 0.51200 - - errors: - - {label: unc, value: 0.02341} - value: 0.53300 - - errors: - - {label: unc, value: 0.02702} - value: 0.58800 -independent_variables: -- header: {name: "x"} - values: - - {value: 0.15400} - - {value: 0.16700} - - {value: 0.17700} - - {value: 0.19100} - - {value: 0.20700} - - {value: 0.22000} - - {value: 0.22300} - - {value: nan} - - {value: 0.26700} - - {value: 0.27200} - - {value: 0.27300} - - {value: 0.28200} - - {value: 0.30700} - - {value: 0.32200} - - {value: 0.32300} - - {value: 0.32400} - - {value: 0.33100} - - {value: 0.37100} - - {value: 0.37300} - - {value: 0.37300} - - {value: 0.37400} - - {value: 0.38400} - - {value: 0.42000} - - {value: 0.42300} - - {value: 0.42300} - - {value: 0.42400} - - {value: 0.42600} - - {value: 0.44200} - - {value: 0.46800} - - {value: 0.47400} - - {value: 0.47300} - - {value: 0.47400} - - {value: 0.47400} - - {value: 0.47800} - - {value: 0.50200} - - {value: 0.52300} - - {value: 0.52300} - - {value: 0.52400} - - {value: 0.52400} - - {value: 0.52500} - - {value: 0.53900} - - {value: 0.57200} - - {value: 0.57400} - - {value: 0.57400} - - {value: 0.57300} - - {value: 0.57400} - - {value: 0.57800} -- header: {name: "Q2"} - values: - - {value: 1.07800} - - {value: 1.22900} - - {value: 1.42200} - - {value: 1.63300} - - {value: 1.28200} - - {value: 1.45500} - - {value: 1.71500} - - {value: 1.98000} - - {value: 1.50500} - - {value: 1.72400} - - {value: 2.04700} - - {value: 2.36600} - - {value: 1.54500} - - {value: 1.73800} - - {value: 2.05200} - - {value: 2.43100} - - {value: 2.79600} - - {value: 1.76900} - - {value: 2.05900} - - {value: 2.43800} - - {value: 2.89600} - - {value: 3.28800} - - {value: 1.81200} - - {value: 2.06400} - - {value: 2.43800} - - {value: 2.89800} - - {value: 3.42400} - - {value: 3.86800} - - {value: 1.83900} - - {value: 2.05200} - - {value: 2.44900} - - {value: 2.90000} - - {value: 3.45500} - - {value: 3.96800} - - {value: 1.85800} - - {value: 2.07100} - - {value: 2.45300} - - {value: 2.89700} - - {value: 3.45400} - - {value: 4.08200} - - {value: 4.57200} - - {value: 2.08800} - - {value: 2.45900} - - {value: 2.91100} - - {value: 3.45700} - - {value: 4.11700} - - {value: 4.66600} diff --git a/data/SMC_G1D.yaml b/data/SMC_G1D.yaml deleted file mode 100644 index a2ed5839e..000000000 --- a/data/SMC_G1D.yaml +++ /dev/null @@ -1,80 +0,0 @@ -dependent_variables: -- header: {title: "SMC g1d structure function"} - qualifiers: - - {name: process, value: pDIS} - - {name: observable, value: g1d} - - {name: target_isoscalarity, value: 0.5} - - {name: prefactor, value: 1.} - - {name: Vs, value: 16.316 , units: GeV} - - {name: x, low: 0.002 , high: 0.48 , integrate: false} - values: - - errors: - - {label: unc, value: 0.49477} - value: -0.30000 - - errors: - - {label: unc, value: 0.42426} - value: -0.47000 - - errors: - - {label: unc, value: 0.30265} - value: -0.37000 - - errors: - - {label: unc, value: 0.17263} - value: -0.30000 - - errors: - - {label: unc, value: 0.14142} - value: -0.06000 - - errors: - - {label: unc, value: 0.12042} - value: -0.07000 - - errors: - - {label: unc, value: 0.08246} - value: 0.27000 - - errors: - - {label: unc, value: 0.05099} - value: 0.04000 - - errors: - - {label: unc, value: 0.04123} - value: 0.09000 - - errors: - - {label: unc, value: 0.03162} - value: 0.15000 - - errors: - - {label: unc, value: 0.02236} - value: 0.12000 - - errors: - - {label: unc, value: 0.02000} - value: 0.05000 - - errors: - - {label: unc, value: 0.01000} - value: 0.03000 -independent_variables: -- header: {name: "x"} - values: - - {high: 0.00300, low: 0.00080, value: 0.00200} - - {high: 0.00600, low: 0.00300, value: 0.00500} - - {high: 0.01000, low: 0.00600, value: 0.00800} - - {high: 0.02000, low: 0.01000, value: 0.01400} - - {high: 0.03000, low: 0.02000, value: 0.02500} - - {high: 0.04000, low: 0.03000, value: 0.03500} - - {high: 0.06000, low: 0.04000, value: 0.04900} - - {high: 0.10000, low: 0.06000, value: 0.07700} - - {high: 0.15000, low: 0.10000, value: 0.12100} - - {high: 0.20000, low: 0.15000, value: 0.17200} - - {high: 0.30000, low: 0.20000, value: 0.24100} - - {high: 0.40000, low: 0.30000, value: 0.34200} - - {high: 0.70000, low: 0.40000, value: 0.47900} -- header: {name: "Q2"} - values: - - {value: 0.50000} - - {value: 1.30000} - - {value: 2.10000} - - {value: 3.50000} - - {value: 5.50000} - - {value: 7.50000} - - {value: 10.00000} - - {value: 14.40000} - - {value: 20.60000} - - {value: 26.80000} - - {value: 34.30000} - - {value: 43.90000} - - {value: 54.80000} diff --git a/data/SMC_G1P.yaml b/data/SMC_G1P.yaml deleted file mode 100644 index f7c1e8ee1..000000000 --- a/data/SMC_G1P.yaml +++ /dev/null @@ -1,80 +0,0 @@ -dependent_variables: -- header: {title: "SMC g1p structure function"} - qualifiers: - - {name: process, value: pDIS} - - {name: observable, value: g1p} - - {name: target_isoscalarity, value: 1.} - - {name: prefactor, value: 1.} - - {name: Vs, value: 16.316 , units: GeV} - - {name: x, low: 0.002 , high: 0.48 , integrate: false} - values: - - errors: - - {label: unc, value: 0.43966} - value: 0.49000 - - errors: - - {label: unc, value: 0.36674} - value: 0.75000 - - errors: - - {label: unc, value: 0.26476} - value: 0.48000 - - errors: - - {label: unc, value: 0.15297} - value: 0.43000 - - errors: - - {label: unc, value: 0.13342} - value: 0.43000 - - errors: - - {label: unc, value: 0.11180} - value: 0.36000 - - errors: - - {label: unc, value: 0.07280} - value: 0.38000 - - errors: - - {label: unc, value: 0.04472} - value: 0.41000 - - errors: - - {label: unc, value: 0.03606} - value: 0.35000 - - errors: - - {label: unc, value: 0.03162} - value: 0.28000 - - errors: - - {label: unc, value: 0.02236} - value: 0.21000 - - errors: - - {label: unc, value: 0.02236} - value: 0.17000 - - errors: - - {label: unc, value: 0.01000} - value: 0.07000 -independent_variables: -- header: {name: "x"} - values: - - {high: 0.00300, low: 0.00080, value: 0.00200} - - {high: 0.00600, low: 0.00300, value: 0.00500} - - {high: 0.01000, low: 0.00600, value: 0.00800} - - {high: 0.02000, low: 0.01000, value: 0.01400} - - {high: 0.03000, low: 0.02000, value: 0.02500} - - {high: 0.04000, low: 0.03000, value: 0.03500} - - {high: 0.06000, low: 0.04000, value: 0.04900} - - {high: 0.10000, low: 0.06000, value: 0.07700} - - {high: 0.15000, low: 0.10000, value: 0.12200} - - {high: 0.20000, low: 0.15000, value: 0.17300} - - {high: 0.30000, low: 0.20000, value: 0.24200} - - {high: 0.40000, low: 0.30000, value: 0.34200} - - {high: 0.70000, low: 0.40000, value: 0.48000} -- header: {name: "Q2"} - values: - - {value: 0.50000} - - {value: 1.30000} - - {value: 2.10000} - - {value: 3.60000} - - {value: 5.70000} - - {value: 7.80000} - - {value: 10.40000} - - {value: 14.90000} - - {value: 21.30000} - - {value: 27.80000} - - {value: 35.60000} - - {value: 45.90000} - - {value: 58.00000} From 55ebec7ab53ed2e6d839579ce8a966fff7a18e20 Mon Sep 17 00:00:00 2001 From: vbertone Date: Wed, 14 May 2025 13:40:17 +0200 Subject: [PATCH 12/29] Deleting junk --- data/rawdata/proton/.~lock.ALEPH_PR_PLUS_MINUS.yaml# | 1 - data/rawdata/proton/.~lock.DELPHI_PR_PLUS_MINUS.yaml# | 1 - data/rawdata/proton/.~lock.DELPHI_PR_PLUS_MINUS_B.yaml# | 1 - data/rawdata/proton/.~lock.DELPHI_PR_PLUS_MINUS_UDS.yaml# | 1 - data/rawdata/proton/.~lock.OPAL_PR_PLUS_MINUS.yaml# | 1 - data/rawdata/proton/.~lock.SLD_PR_PLUS_MINUS.yaml# | 1 - data/rawdata/proton/.~lock.SLD_PR_PLUS_MINUS_B.yaml# | 1 - data/rawdata/proton/.~lock.SLD_PR_PLUS_MINUS_UDS.yaml# | 1 - 8 files changed, 8 deletions(-) delete mode 100644 data/rawdata/proton/.~lock.ALEPH_PR_PLUS_MINUS.yaml# delete mode 100644 data/rawdata/proton/.~lock.DELPHI_PR_PLUS_MINUS.yaml# delete mode 100644 data/rawdata/proton/.~lock.DELPHI_PR_PLUS_MINUS_B.yaml# delete mode 100644 data/rawdata/proton/.~lock.DELPHI_PR_PLUS_MINUS_UDS.yaml# delete mode 100644 data/rawdata/proton/.~lock.OPAL_PR_PLUS_MINUS.yaml# delete mode 100644 data/rawdata/proton/.~lock.SLD_PR_PLUS_MINUS.yaml# delete mode 100644 data/rawdata/proton/.~lock.SLD_PR_PLUS_MINUS_B.yaml# delete mode 100644 data/rawdata/proton/.~lock.SLD_PR_PLUS_MINUS_UDS.yaml# diff --git a/data/rawdata/proton/.~lock.ALEPH_PR_PLUS_MINUS.yaml# b/data/rawdata/proton/.~lock.ALEPH_PR_PLUS_MINUS.yaml# deleted file mode 100644 index 95c4aa675..000000000 --- a/data/rawdata/proton/.~lock.ALEPH_PR_PLUS_MINUS.yaml# +++ /dev/null @@ -1 +0,0 @@ -,enocera,enocera-IdeaPad-5-15ARE05,13.07.2021 19:22,file:///home/enocera/.config/libreoffice/4; \ No newline at end of file diff --git a/data/rawdata/proton/.~lock.DELPHI_PR_PLUS_MINUS.yaml# b/data/rawdata/proton/.~lock.DELPHI_PR_PLUS_MINUS.yaml# deleted file mode 100644 index 95c4aa675..000000000 --- a/data/rawdata/proton/.~lock.DELPHI_PR_PLUS_MINUS.yaml# +++ /dev/null @@ -1 +0,0 @@ -,enocera,enocera-IdeaPad-5-15ARE05,13.07.2021 19:22,file:///home/enocera/.config/libreoffice/4; \ No newline at end of file diff --git a/data/rawdata/proton/.~lock.DELPHI_PR_PLUS_MINUS_B.yaml# b/data/rawdata/proton/.~lock.DELPHI_PR_PLUS_MINUS_B.yaml# deleted file mode 100644 index 95c4aa675..000000000 --- a/data/rawdata/proton/.~lock.DELPHI_PR_PLUS_MINUS_B.yaml# +++ /dev/null @@ -1 +0,0 @@ -,enocera,enocera-IdeaPad-5-15ARE05,13.07.2021 19:22,file:///home/enocera/.config/libreoffice/4; \ No newline at end of file diff --git a/data/rawdata/proton/.~lock.DELPHI_PR_PLUS_MINUS_UDS.yaml# b/data/rawdata/proton/.~lock.DELPHI_PR_PLUS_MINUS_UDS.yaml# deleted file mode 100644 index 95c4aa675..000000000 --- a/data/rawdata/proton/.~lock.DELPHI_PR_PLUS_MINUS_UDS.yaml# +++ /dev/null @@ -1 +0,0 @@ -,enocera,enocera-IdeaPad-5-15ARE05,13.07.2021 19:22,file:///home/enocera/.config/libreoffice/4; \ No newline at end of file diff --git a/data/rawdata/proton/.~lock.OPAL_PR_PLUS_MINUS.yaml# b/data/rawdata/proton/.~lock.OPAL_PR_PLUS_MINUS.yaml# deleted file mode 100644 index 95c4aa675..000000000 --- a/data/rawdata/proton/.~lock.OPAL_PR_PLUS_MINUS.yaml# +++ /dev/null @@ -1 +0,0 @@ -,enocera,enocera-IdeaPad-5-15ARE05,13.07.2021 19:22,file:///home/enocera/.config/libreoffice/4; \ No newline at end of file diff --git a/data/rawdata/proton/.~lock.SLD_PR_PLUS_MINUS.yaml# b/data/rawdata/proton/.~lock.SLD_PR_PLUS_MINUS.yaml# deleted file mode 100644 index 95c4aa675..000000000 --- a/data/rawdata/proton/.~lock.SLD_PR_PLUS_MINUS.yaml# +++ /dev/null @@ -1 +0,0 @@ -,enocera,enocera-IdeaPad-5-15ARE05,13.07.2021 19:22,file:///home/enocera/.config/libreoffice/4; \ No newline at end of file diff --git a/data/rawdata/proton/.~lock.SLD_PR_PLUS_MINUS_B.yaml# b/data/rawdata/proton/.~lock.SLD_PR_PLUS_MINUS_B.yaml# deleted file mode 100644 index 95c4aa675..000000000 --- a/data/rawdata/proton/.~lock.SLD_PR_PLUS_MINUS_B.yaml# +++ /dev/null @@ -1 +0,0 @@ -,enocera,enocera-IdeaPad-5-15ARE05,13.07.2021 19:22,file:///home/enocera/.config/libreoffice/4; \ No newline at end of file diff --git a/data/rawdata/proton/.~lock.SLD_PR_PLUS_MINUS_UDS.yaml# b/data/rawdata/proton/.~lock.SLD_PR_PLUS_MINUS_UDS.yaml# deleted file mode 100644 index 95c4aa675..000000000 --- a/data/rawdata/proton/.~lock.SLD_PR_PLUS_MINUS_UDS.yaml# +++ /dev/null @@ -1 +0,0 @@ -,enocera,enocera-IdeaPad-5-15ARE05,13.07.2021 19:22,file:///home/enocera/.config/libreoffice/4; \ No newline at end of file From 247f2d256e5bdf8dc885ee5d034444c84169958b Mon Sep 17 00:00:00 2001 From: vbertone Date: Wed, 14 May 2025 15:09:57 +0200 Subject: [PATCH 13/29] Fixing bug in run/Predictions.cc --- run/Predictions.cc | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/run/Predictions.cc b/run/Predictions.cc index ffabd0268..6e54acf54 100644 --- a/run/Predictions.cc +++ b/run/Predictions.cc @@ -152,7 +152,7 @@ int main(int argc, char *argv[]) std::vector av2(bins.size(), 0); std::vector avor2(bins.size(), 0); // Run over replicas - const int nrep = MapLHAPDFsets.at(config["NNAD"]["flavour maps"][0]["hadron"].as()).size() - 1; + const int nrep = MapLHAPDFsets.at(DSVect[iexp].first->GetHadron()).size() - 1; for (int irep = 1; irep <= nrep; irep++) { for (auto const& FlavMap : config["NNAD"]["flavour maps"]) From 7ab30ca3fc9c7cee9681eacf5e4d69e63a278c55 Mon Sep 17 00:00:00 2001 From: enocera Date: Thu, 22 May 2025 09:42:44 -0700 Subject: [PATCH 14/29] Added longitudinal cross seciton data --- data/ALEPH_HA_L_PLUS_MINUS.yaml | 118 ++++++++ data/ALEPH_HA_PLUS_MINUS.yaml | 37 --- data/DELPHI_HA_L_PLUS_MINUS.yaml | 125 +++++++++ data/DELPHI_HA_L_PLUS_MINUS_B.yaml | 102 +++++++ data/DELPHI_HA_L_PLUS_MINUS_UDS.yaml | 102 +++++++ data/OPAL_HA_L_PLUS_MINUS.yaml | 101 +++++++ data/TASSO_14_HA_PLUS_MINUS.yaml | 22 -- data/TASSO_22_HA_PLUS_MINUS.yaml | 22 -- data/TASSO_35_HA_PLUS_MINUS.yaml | 22 -- data/TASSO_44_HA_PLUS_MINUS.yaml | 22 -- data/TPC_HA_PLUS_MINUS.yaml | 36 --- .../DELPHI/HEPData-ins448370-v1-Table_2.csv | 36 +++ .../DELPHI/HEPData-ins448370-v1-Table_7.csv | 63 +++++ .../DELPHI/HEPData-ins448370-v1-Table_8.csv | 63 +++++ .../OPAL/HEPData-ins395450-v1-Table_2.csv | 35 +++ data/rawdata/charged_hadrons/filter.py | 255 ++++++++++++++++-- 16 files changed, 972 insertions(+), 189 deletions(-) create mode 100644 data/ALEPH_HA_L_PLUS_MINUS.yaml create mode 100644 data/DELPHI_HA_L_PLUS_MINUS.yaml create mode 100644 data/DELPHI_HA_L_PLUS_MINUS_B.yaml create mode 100644 data/DELPHI_HA_L_PLUS_MINUS_UDS.yaml create mode 100644 data/OPAL_HA_L_PLUS_MINUS.yaml create mode 100644 data/rawdata/charged_hadrons/DELPHI/HEPData-ins448370-v1-Table_2.csv create mode 100644 data/rawdata/charged_hadrons/DELPHI/HEPData-ins448370-v1-Table_7.csv create mode 100644 data/rawdata/charged_hadrons/DELPHI/HEPData-ins448370-v1-Table_8.csv create mode 100644 data/rawdata/charged_hadrons/OPAL/HEPData-ins395450-v1-Table_2.csv diff --git a/data/ALEPH_HA_L_PLUS_MINUS.yaml b/data/ALEPH_HA_L_PLUS_MINUS.yaml new file mode 100644 index 000000000..400705a04 --- /dev/null +++ b/data/ALEPH_HA_L_PLUS_MINUS.yaml @@ -0,0 +1,118 @@ +dependent_variables: +- header: {title: "ALEPH longitudinal $h^\\pm$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 91.2 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.01 , high: 0.9 , integrate: false} + - {name: hadron, value: HA} + - {name: charge, value: 0} + values: + - errors: + - {label: unc, value: 16.40762} + - {label: mult, value: 0.01} + value: 123.6 + - errors: + - {label: unc, value: 2.81603} + - {label: mult, value: 0.01} + value: 77.2 + - errors: + - {label: unc, value: 1.61245} + - {label: mult, value: 0.01} + value: 40.6 + - errors: + - {label: unc, value: 1.20416} + - {label: mult, value: 0.01} + value: 21.1 + - errors: + - {label: unc, value: 0.81884} + - {label: mult, value: 0.01} + value: 12.42 + - errors: + - {label: unc, value: 0.58856} + - {label: mult, value: 0.01} + value: 8.0 + - errors: + - {label: unc, value: 0.41000} + - {label: mult, value: 0.01} + value: 5.4 + - errors: + - {label: unc, value: 0.32016} + - {label: mult, value: 0.01} + value: 3.81 + - errors: + - {label: unc, value: 0.21190} + - {label: mult, value: 0.01} + value: 2.74 + - errors: + - {label: unc, value: 0.20881} + - {label: mult, value: 0.01} + value: 2.1 + - errors: + - {label: unc, value: 0.14560} + - {label: mult, value: 0.01} + value: 1.43 + - errors: + - {label: unc, value: 0.10440} + - {label: mult, value: 0.01} + value: 0.9 + - errors: + - {label: unc, value: 0.06539} + - {label: mult, value: 0.01} + value: 0.569 + - errors: + - {label: unc, value: 0.08544} + - {label: mult, value: 0.01} + value: 0.393 + - errors: + - {label: unc, value: 0.03890} + - {label: mult, value: 0.01} + value: 0.259 + - errors: + - {label: unc, value: 0.02530} + - {label: mult, value: 0.01} + value: 0.115 + - errors: + - {label: unc, value: 0.01393} + - {label: mult, value: 0.01} + value: 0.055 + - errors: + - {label: unc, value: 0.00825} + - {label: mult, value: 0.01} + value: 0.0293 + - errors: + - {label: unc, value: 0.00240} + - {label: mult, value: 0.01} + value: 0.0067 + - errors: + - {label: unc, value: 0.00096} + - {label: mult, value: 0.01} + value: 0.00041 + - errors: + - {label: unc, value: 0.00112} + - {label: mult, value: 0.01} + value: -0.0002 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.01200, low: 0.00800, value: 0.01000, factor: 1.00000} + - {high: 0.02000, low: 0.01200, value: 0.01600, factor: 1.00000} + - {high: 0.03000, low: 0.02000, value: 0.02500, factor: 1.00000} + - {high: 0.04000, low: 0.03000, value: 0.03500, factor: 1.00000} + - {high: 0.05000, low: 0.04000, value: 0.04500, factor: 1.00000} + - {high: 0.06000, low: 0.05000, value: 0.05500, factor: 1.00000} + - {high: 0.07000, low: 0.06000, value: 0.06500, factor: 1.00000} + - {high: 0.08000, low: 0.07000, value: 0.07500, factor: 1.00000} + - {high: 0.09000, low: 0.08000, value: 0.08500, factor: 1.00000} + - {high: 0.10000, low: 0.09000, value: 0.09500, factor: 1.00000} + - {high: 0.12000, low: 0.10000, value: 0.11000, factor: 1.00000} + - {high: 0.14000, low: 0.12000, value: 0.13000, factor: 1.00000} + - {high: 0.16000, low: 0.14000, value: 0.15000, factor: 1.00000} + - {high: 0.18000, low: 0.16000, value: 0.17000, factor: 1.00000} + - {high: 0.22500, low: 0.18000, value: 0.20250, factor: 1.00000} + - {high: 0.27500, low: 0.22500, value: 0.25000, factor: 1.00000} + - {high: 0.32500, low: 0.27500, value: 0.30000, factor: 1.00000} + - {high: 0.40000, low: 0.32500, value: 0.36250, factor: 1.00000} + - {high: 0.60000, low: 0.40000, value: 0.50000, factor: 1.00000} + - {high: 0.80000, low: 0.60000, value: 0.70000, factor: 1.00000} + - {high: 1.00000, low: 0.80000, value: 0.90000, factor: 1.00000} diff --git a/data/ALEPH_HA_PLUS_MINUS.yaml b/data/ALEPH_HA_PLUS_MINUS.yaml index 50bb8740b..bdf8c1d43 100644 --- a/data/ALEPH_HA_PLUS_MINUS.yaml +++ b/data/ALEPH_HA_PLUS_MINUS.yaml @@ -186,40 +186,3 @@ independent_variables: - {high: 0.80000, low: 0.75000, value: 0.77500, factor: 1.00000} - {high: 0.90000, low: 0.80000, value: 0.85000, factor: 1.00000} - {high: 1.00000, low: 0.90000, value: 0.95000, factor: 1.00000} -- header: {name: "xp"} - values: - - {high: 0.01200, low: 0.00800, value: 0.01000} - - {high: 0.02000, low: 0.01200, value: 0.01600} - - {high: 0.03000, low: 0.02000, value: 0.02500} - - {high: 0.04000, low: 0.03000, value: 0.03500} - - {high: 0.05000, low: 0.04000, value: 0.04500} - - {high: 0.06000, low: 0.05000, value: 0.05500} - - {high: 0.07000, low: 0.06000, value: 0.06500} - - {high: 0.08000, low: 0.07000, value: 0.07500} - - {high: 0.09000, low: 0.08000, value: 0.08500} - - {high: 0.10000, low: 0.09000, value: 0.09500} - - {high: 0.12000, low: 0.10000, value: 0.11000} - - {high: 0.14000, low: 0.12000, value: 0.13000} - - {high: 0.16000, low: 0.14000, value: 0.15000} - - {high: 0.18000, low: 0.16000, value: 0.17000} - - {high: 0.20000, low: 0.18000, value: 0.19000} - - {high: 0.22500, low: 0.20000, value: 0.21250} - - {high: 0.25000, low: 0.22500, value: 0.23750} - - {high: 0.27500, low: 0.25000, value: 0.26250} - - {high: 0.30000, low: 0.27500, value: 0.28750} - - {high: 0.32500, low: 0.30000, value: 0.31250} - - {high: 0.35000, low: 0.32500, value: 0.33750} - - {high: 0.37500, low: 0.35000, value: 0.36250} - - {high: 0.40000, low: 0.37500, value: 0.38750} - - {high: 0.43000, low: 0.40000, value: 0.41500} - - {high: 0.46000, low: 0.43000, value: 0.44500} - - {high: 0.49000, low: 0.46000, value: 0.47500} - - {high: 0.52000, low: 0.49000, value: 0.50500} - - {high: 0.55000, low: 0.52000, value: 0.53500} - - {high: 0.60000, low: 0.55000, value: 0.57500} - - {high: 0.65000, low: 0.60000, value: 0.62500} - - {high: 0.70000, low: 0.65000, value: 0.67500} - - {high: 0.75000, low: 0.70000, value: 0.72500} - - {high: 0.80000, low: 0.75000, value: 0.77500} - - {high: 0.90000, low: 0.80000, value: 0.85000} - - {high: 1.00000, low: 0.90000, value: 0.95000} diff --git a/data/DELPHI_HA_L_PLUS_MINUS.yaml b/data/DELPHI_HA_L_PLUS_MINUS.yaml new file mode 100644 index 000000000..70287fbf0 --- /dev/null +++ b/data/DELPHI_HA_L_PLUS_MINUS.yaml @@ -0,0 +1,125 @@ +dependent_variables: +- header: {title: "DELPHI longitudinal $h^\\pm$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 91.2 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.005 , high: 0.9 , integrate: false} + - {name: hadron, value: HA} + - {name: charge, value: 0} + values: + - errors: + - {label: unc, value: 7.53260} + value: 117.0 + - errors: + - {label: unc, value: 5.51453} + value: 84.2 + - errors: + - {label: unc, value: 3.22490} + value: 37.1 + - errors: + - {label: unc, value: 2.91548} + value: 18.5 + - errors: + - {label: unc, value: 1.62788} + value: 11.3 + - errors: + - {label: unc, value: 1.21655} + value: 7.4 + - errors: + - {label: unc, value: 0.92195} + value: 5.5 + - errors: + - {label: unc, value: 0.72801} + value: 3.8 + - errors: + - {label: unc, value: 0.53852} + value: 2.3 + - errors: + - {label: unc, value: 0.53852} + value: 1.9 + - errors: + - {label: unc, value: 0.31623} + value: 1.1 + - errors: + - {label: unc, value: 0.26249} + value: 0.64 + - errors: + - {label: unc, value: 0.16553} + value: 0.5 + - errors: + - {label: unc, value: 0.18385} + value: 0.21 + - errors: + - {label: unc, value: 0.11662} + value: 0.09 + - errors: + - {label: unc, value: 0.05831} + value: 0.08 + - errors: + - {label: unc, value: 0.03606} + value: 0.03 + - errors: + - {label: unc, value: 0.02332} + value: 0.007 + - errors: + - {label: unc, value: 0.02341} + value: 0.008 + - errors: + - {label: unc, value: 0.00860} + value: 0.006 + - errors: + - {label: unc, value: 0.00479} + value: 0.0004 + - errors: + - {label: unc, value: 0.00212} + value: 0.0012 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.00022, low: 0.00000, value: 0.00011, factor: 0.02193} + - {high: 0.00044, low: 0.00022, value: 0.00033, factor: 0.02193} + - {high: 0.00066, low: 0.00044, value: 0.00055, factor: 0.02193} + - {high: 0.00088, low: 0.00066, value: 0.00077, factor: 0.02193} + - {high: 0.00110, low: 0.00088, value: 0.00099, factor: 0.02193} + - {high: 0.00132, low: 0.00110, value: 0.00121, factor: 0.02193} + - {high: 0.00154, low: 0.00132, value: 0.00143, factor: 0.02193} + - {high: 0.00175, low: 0.00154, value: 0.00164, factor: 0.02193} + - {high: 0.00197, low: 0.00175, value: 0.00186, factor: 0.02193} + - {high: 0.00219, low: 0.00197, value: 0.00208, factor: 0.02193} + - {high: 0.00263, low: 0.00219, value: 0.00241, factor: 0.02193} + - {high: 0.00307, low: 0.00263, value: 0.00285, factor: 0.02193} + - {high: 0.00351, low: 0.00307, value: 0.00329, factor: 0.02193} + - {high: 0.00395, low: 0.00351, value: 0.00373, factor: 0.02193} + - {high: 0.00439, low: 0.00395, value: 0.00417, factor: 0.02193} + - {high: 0.00548, low: 0.00439, value: 0.00493, factor: 0.02193} + - {high: 0.00658, low: 0.00548, value: 0.00603, factor: 0.02193} + - {high: 0.00877, low: 0.00658, value: 0.00768, factor: 0.02193} + - {high: 0.01096, low: 0.00877, value: 0.00987, factor: 0.02193} + - {high: 0.01316, low: 0.01096, value: 0.01206, factor: 0.02193} + - {high: 0.01754, low: 0.01316, value: 0.01535, factor: 0.02193} + - {high: 0.02193, low: 0.01754, value: 0.01974, factor: 0.02193} +- header: {name: "ph"} + values: + - {high: 0.01000, low: 0.00000, value: 0.00500} + - {high: 0.02000, low: 0.01000, value: 0.01500} + - {high: 0.03000, low: 0.02000, value: 0.02500} + - {high: 0.04000, low: 0.03000, value: 0.03500} + - {high: 0.05000, low: 0.04000, value: 0.04500} + - {high: 0.06000, low: 0.05000, value: 0.05500} + - {high: 0.07000, low: 0.06000, value: 0.06500} + - {high: 0.08000, low: 0.07000, value: 0.07500} + - {high: 0.09000, low: 0.08000, value: 0.08500} + - {high: 0.10000, low: 0.09000, value: 0.09500} + - {high: 0.12000, low: 0.10000, value: 0.11000} + - {high: 0.14000, low: 0.12000, value: 0.13000} + - {high: 0.16000, low: 0.14000, value: 0.15000} + - {high: 0.18000, low: 0.16000, value: 0.17000} + - {high: 0.20000, low: 0.18000, value: 0.19000} + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.40000, low: 0.30000, value: 0.35000} + - {high: 0.50000, low: 0.40000, value: 0.45000} + - {high: 0.60000, low: 0.50000, value: 0.55000} + - {high: 0.80000, low: 0.60000, value: 0.70000} + - {high: 1.00000, low: 0.80000, value: 0.90000} diff --git a/data/DELPHI_HA_L_PLUS_MINUS_B.yaml b/data/DELPHI_HA_L_PLUS_MINUS_B.yaml new file mode 100644 index 000000000..b6a91047b --- /dev/null +++ b/data/DELPHI_HA_L_PLUS_MINUS_B.yaml @@ -0,0 +1,102 @@ +dependent_variables: +- header: {title: "DELPHI longitudinal $h^\\pm$ Multiplicity b-tag"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 91.2 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.005 , high: 0.9 , integrate: false} + - {name: hadron, value: HA} + - {name: charge, value: 0} + - {name: tagging, value: [b]} + values: + - errors: + - {label: unc, value: 14.76482} + value: 113.0 + - errors: + - {label: unc, value: 9.84886} + value: 89.0 + - errors: + - {label: unc, value: 8.06226} + value: 45.0 + - errors: + - {label: unc, value: 6.70820} + value: 19.0 + - errors: + - {label: unc, value: 4.24264} + value: 18.0 + - errors: + - {label: unc, value: 2.82843} + value: 6.0 + - errors: + - {label: unc, value: 2.82843} + value: 6.0 + - errors: + - {label: unc, value: 2.82843} + value: 7.0 + - errors: + - {label: unc, value: 2.82843} + value: 1.0 + - errors: + - {label: unc, value: 2.82843} + value: 2.0 + - errors: + - {label: unc, value: 2.23607} + value: 3.0 + - errors: + - {label: unc, value: 1.58114} + value: 1.6 + - errors: + - {label: unc, value: 0.98995} + value: 1.7 + - errors: + - {label: unc, value: 0.98995} + value: 0.4 + - errors: + - {label: unc, value: 1.08167} + value: 0.8 + - errors: + - {label: unc, value: 0.36056} + value: -0.2 + - errors: + - {label: unc, value: 0.22825} + value: -0.03 + - errors: + - {label: unc, value: 0.14866} + value: 0.04 + - errors: + - {label: unc, value: 0.19647} + value: 0.13 + - errors: + - {label: unc, value: 0.03606} + value: 0.03 + - errors: + - {label: unc, value: 0.02163} + value: 0.001 + - errors: + - {label: unc, value: 0.00032} + value: -0.0001 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.01000, low: 0.00000, value: 0.00500, factor: 1.00000} + - {high: 0.02000, low: 0.01000, value: 0.01500, factor: 1.00000} + - {high: 0.03000, low: 0.02000, value: 0.02500, factor: 1.00000} + - {high: 0.04000, low: 0.03000, value: 0.03500, factor: 1.00000} + - {high: 0.05000, low: 0.04000, value: 0.04500, factor: 1.00000} + - {high: 0.06000, low: 0.05000, value: 0.05500, factor: 1.00000} + - {high: 0.07000, low: 0.06000, value: 0.06500, factor: 1.00000} + - {high: 0.08000, low: 0.07000, value: 0.07500, factor: 1.00000} + - {high: 0.09000, low: 0.08000, value: 0.08500, factor: 1.00000} + - {high: 0.10000, low: 0.09000, value: 0.09500, factor: 1.00000} + - {high: 0.12000, low: 0.10000, value: 0.11000, factor: 1.00000} + - {high: 0.14000, low: 0.12000, value: 0.13000, factor: 1.00000} + - {high: 0.16000, low: 0.14000, value: 0.15000, factor: 1.00000} + - {high: 0.18000, low: 0.16000, value: 0.17000, factor: 1.00000} + - {high: 0.20000, low: 0.18000, value: 0.19000, factor: 1.00000} + - {high: 0.25000, low: 0.20000, value: 0.22500, factor: 1.00000} + - {high: 0.30000, low: 0.25000, value: 0.27500, factor: 1.00000} + - {high: 0.40000, low: 0.30000, value: 0.35000, factor: 1.00000} + - {high: 0.50000, low: 0.40000, value: 0.45000, factor: 1.00000} + - {high: 0.60000, low: 0.50000, value: 0.55000, factor: 1.00000} + - {high: 0.80000, low: 0.60000, value: 0.70000, factor: 1.00000} + - {high: 1.00000, low: 0.80000, value: 0.90000, factor: 1.00000} diff --git a/data/DELPHI_HA_L_PLUS_MINUS_UDS.yaml b/data/DELPHI_HA_L_PLUS_MINUS_UDS.yaml new file mode 100644 index 000000000..5ef01eb06 --- /dev/null +++ b/data/DELPHI_HA_L_PLUS_MINUS_UDS.yaml @@ -0,0 +1,102 @@ +dependent_variables: +- header: {title: "DELPHI longitudinal $h^\\pm$ Multiplicity uds-tag"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 91.2 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.005 , high: 0.9 , integrate: false} + - {name: hadron, value: HA} + - {name: charge, value: 0} + - {name: tagging, value: [u,d,s]} + values: + - errors: + - {label: unc, value: 6.08276} + value: 115.0 + - errors: + - {label: unc, value: 4.12311} + value: 79.0 + - errors: + - {label: unc, value: 2.75136} + value: 33.7 + - errors: + - {label: unc, value: 2.21359} + value: 15.4 + - errors: + - {label: unc, value: 1.16619} + value: 9.6 + - errors: + - {label: unc, value: 0.78102} + value: 5.6 + - errors: + - {label: unc, value: 0.70711} + value: 4.3 + - errors: + - {label: unc, value: 0.56569} + value: 2.3 + - errors: + - {label: unc, value: 0.56569} + value: 1.0 + - errors: + - {label: unc, value: 0.64031} + value: 1.1 + - errors: + - {label: unc, value: 0.36056} + value: 0.4 + - errors: + - {label: unc, value: 0.36056} + value: -0.3 + - errors: + - {label: unc, value: 0.24839} + value: 0.02 + - errors: + - {label: unc, value: 0.25495} + value: 0.32 + - errors: + - {label: unc, value: 0.39000} + value: -0.46 + - errors: + - {label: unc, value: 0.15264} + value: -0.16 + - errors: + - {label: unc, value: 0.15652} + value: -0.12 + - errors: + - {label: unc, value: 0.11402} + value: -0.1 + - errors: + - {label: unc, value: 0.02828} + value: -0.01 + - errors: + - {label: unc, value: 0.02828} + value: -0.02 + - errors: + - {label: unc, value: 0.04123} + value: -0.01 + - errors: + - {label: unc, value: 0.00500} + value: 0.005 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.01000, low: 0.00000, value: 0.00500, factor: 1.00000} + - {high: 0.02000, low: 0.01000, value: 0.01500, factor: 1.00000} + - {high: 0.03000, low: 0.02000, value: 0.02500, factor: 1.00000} + - {high: 0.04000, low: 0.03000, value: 0.03500, factor: 1.00000} + - {high: 0.05000, low: 0.04000, value: 0.04500, factor: 1.00000} + - {high: 0.06000, low: 0.05000, value: 0.05500, factor: 1.00000} + - {high: 0.07000, low: 0.06000, value: 0.06500, factor: 1.00000} + - {high: 0.08000, low: 0.07000, value: 0.07500, factor: 1.00000} + - {high: 0.09000, low: 0.08000, value: 0.08500, factor: 1.00000} + - {high: 0.10000, low: 0.09000, value: 0.09500, factor: 1.00000} + - {high: 0.12000, low: 0.10000, value: 0.11000, factor: 1.00000} + - {high: 0.14000, low: 0.12000, value: 0.13000, factor: 1.00000} + - {high: 0.16000, low: 0.14000, value: 0.15000, factor: 1.00000} + - {high: 0.18000, low: 0.16000, value: 0.17000, factor: 1.00000} + - {high: 0.20000, low: 0.18000, value: 0.19000, factor: 1.00000} + - {high: 0.25000, low: 0.20000, value: 0.22500, factor: 1.00000} + - {high: 0.30000, low: 0.25000, value: 0.27500, factor: 1.00000} + - {high: 0.40000, low: 0.30000, value: 0.35000, factor: 1.00000} + - {high: 0.50000, low: 0.40000, value: 0.45000, factor: 1.00000} + - {high: 0.60000, low: 0.50000, value: 0.55000, factor: 1.00000} + - {high: 0.80000, low: 0.60000, value: 0.70000, factor: 1.00000} + - {high: 1.00000, low: 0.80000, value: 0.90000, factor: 1.00000} diff --git a/data/OPAL_HA_L_PLUS_MINUS.yaml b/data/OPAL_HA_L_PLUS_MINUS.yaml new file mode 100644 index 000000000..b9260d152 --- /dev/null +++ b/data/OPAL_HA_L_PLUS_MINUS.yaml @@ -0,0 +1,101 @@ +dependent_variables: +- header: {title: "OPAL longitudinal $h^\\pm$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 91.2 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.005 , high: 0.9 , integrate: false} + - {name: hadron, value: HA} + - {name: charge, value: 0} + values: + - errors: + - {label: unc, value: 15.30523} + value: 89.7 + - errors: + - {label: unc, value: 5.61427} + value: 79.2 + - errors: + - {label: unc, value: 2.91548} + value: 40.1 + - errors: + - {label: unc, value: 1.31529} + value: 21.9 + - errors: + - {label: unc, value: 0.92195} + value: 13.1 + - errors: + - {label: unc, value: 0.73980} + value: 8.39 + - errors: + - {label: unc, value: 1.04087} + value: 5.79 + - errors: + - {label: unc, value: 0.49041} + value: 4.08 + - errors: + - {label: unc, value: 0.37336} + value: 2.7 + - errors: + - {label: unc, value: 0.29547} + value: 2.16 + - errors: + - {label: unc, value: 0.24042} + value: 1.6 + - errors: + - {label: unc, value: 0.36497} + value: 0.93 + - errors: + - {label: unc, value: 0.17088} + value: 0.61 + - errors: + - {label: unc, value: 0.17720} + value: 0.53 + - errors: + - {label: unc, value: 0.08944} + value: 0.35 + - errors: + - {label: unc, value: 0.08246} + value: 0.21 + - errors: + - {label: unc, value: 0.05314} + value: 0.067 + - errors: + - {label: unc, value: 0.03421} + value: 0.036 + - errors: + - {label: unc, value: 0.01166} + value: 0.012 + - errors: + - {label: unc, value: 0.00806} + value: -0.003 + - errors: + - {label: unc, value: 0.01474} + value: -0.0047 + - errors: + - {label: unc, value: 0.00384} + value: -0.0018 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.01000, low: 0.00000, value: 0.00500, factor: 1.00000} + - {high: 0.02000, low: 0.01000, value: 0.01500, factor: 1.00000} + - {high: 0.03000, low: 0.02000, value: 0.02500, factor: 1.00000} + - {high: 0.04000, low: 0.03000, value: 0.03500, factor: 1.00000} + - {high: 0.05000, low: 0.04000, value: 0.04500, factor: 1.00000} + - {high: 0.06000, low: 0.05000, value: 0.05500, factor: 1.00000} + - {high: 0.07000, low: 0.06000, value: 0.06500, factor: 1.00000} + - {high: 0.08000, low: 0.07000, value: 0.07500, factor: 1.00000} + - {high: 0.09000, low: 0.08000, value: 0.08500, factor: 1.00000} + - {high: 0.10000, low: 0.09000, value: 0.09500, factor: 1.00000} + - {high: 0.12000, low: 0.10000, value: 0.11000, factor: 1.00000} + - {high: 0.14000, low: 0.12000, value: 0.13000, factor: 1.00000} + - {high: 0.16000, low: 0.14000, value: 0.15000, factor: 1.00000} + - {high: 0.18000, low: 0.16000, value: 0.17000, factor: 1.00000} + - {high: 0.20000, low: 0.18000, value: 0.19000, factor: 1.00000} + - {high: 0.25000, low: 0.20000, value: 0.22500, factor: 1.00000} + - {high: 0.30000, low: 0.25000, value: 0.27500, factor: 1.00000} + - {high: 0.40000, low: 0.30000, value: 0.35000, factor: 1.00000} + - {high: 0.50000, low: 0.40000, value: 0.45000, factor: 1.00000} + - {high: 0.60000, low: 0.50000, value: 0.55000, factor: 1.00000} + - {high: 0.80000, low: 0.60000, value: 0.70000, factor: 1.00000} + - {high: 1.00000, low: 0.80000, value: 0.90000, factor: 1.00000} diff --git a/data/TASSO_14_HA_PLUS_MINUS.yaml b/data/TASSO_14_HA_PLUS_MINUS.yaml index 2efa4b3cb..182c94738 100644 --- a/data/TASSO_14_HA_PLUS_MINUS.yaml +++ b/data/TASSO_14_HA_PLUS_MINUS.yaml @@ -91,25 +91,3 @@ independent_variables: - {high: 0.70000, low: 0.60000, value: 0.65000, factor: 1.00000} - {high: 0.80000, low: 0.70000, value: 0.75000, factor: 1.00000} - {high: 1.00000, low: 0.80000, value: 0.90000, factor: 1.00000} -- header: {name: "xp"} - values: - - {high: 0.03000, low: 0.02000, value: 0.02500} - - {high: 0.04000, low: 0.03000, value: 0.03500} - - {high: 0.05000, low: 0.04000, value: 0.04500} - - {high: 0.06000, low: 0.05000, value: 0.05500} - - {high: 0.08000, low: 0.06000, value: 0.07000} - - {high: 0.10000, low: 0.08000, value: 0.09000} - - {high: 0.12000, low: 0.10000, value: 0.11000} - - {high: 0.14000, low: 0.12000, value: 0.13000} - - {high: 0.16000, low: 0.14000, value: 0.15000} - - {high: 0.18000, low: 0.16000, value: 0.17000} - - {high: 0.20000, low: 0.18000, value: 0.19000} - - {high: 0.25000, low: 0.20000, value: 0.22500} - - {high: 0.30000, low: 0.25000, value: 0.27500} - - {high: 0.35000, low: 0.30000, value: 0.32500} - - {high: 0.40000, low: 0.35000, value: 0.37500} - - {high: 0.50000, low: 0.40000, value: 0.45000} - - {high: 0.60000, low: 0.50000, value: 0.55000} - - {high: 0.70000, low: 0.60000, value: 0.65000} - - {high: 0.80000, low: 0.70000, value: 0.75000} - - {high: 1.00000, low: 0.80000, value: 0.90000} diff --git a/data/TASSO_22_HA_PLUS_MINUS.yaml b/data/TASSO_22_HA_PLUS_MINUS.yaml index acef6b54e..b8c92d849 100644 --- a/data/TASSO_22_HA_PLUS_MINUS.yaml +++ b/data/TASSO_22_HA_PLUS_MINUS.yaml @@ -91,25 +91,3 @@ independent_variables: - {high: 0.70000, low: 0.60000, value: 0.65000, factor: 1.00000} - {high: 0.80000, low: 0.70000, value: 0.75000, factor: 1.00000} - {high: 1.00000, low: 0.80000, value: 0.90000, factor: 1.00000} -- header: {name: "xp"} - values: - - {high: 0.03000, low: 0.02000, value: 0.02500} - - {high: 0.04000, low: 0.03000, value: 0.03500} - - {high: 0.05000, low: 0.04000, value: 0.04500} - - {high: 0.06000, low: 0.05000, value: 0.05500} - - {high: 0.08000, low: 0.06000, value: 0.07000} - - {high: 0.10000, low: 0.08000, value: 0.09000} - - {high: 0.12000, low: 0.10000, value: 0.11000} - - {high: 0.14000, low: 0.12000, value: 0.13000} - - {high: 0.16000, low: 0.14000, value: 0.15000} - - {high: 0.18000, low: 0.16000, value: 0.17000} - - {high: 0.20000, low: 0.18000, value: 0.19000} - - {high: 0.25000, low: 0.20000, value: 0.22500} - - {high: 0.30000, low: 0.25000, value: 0.27500} - - {high: 0.35000, low: 0.30000, value: 0.32500} - - {high: 0.40000, low: 0.35000, value: 0.37500} - - {high: 0.50000, low: 0.40000, value: 0.45000} - - {high: 0.60000, low: 0.50000, value: 0.55000} - - {high: 0.70000, low: 0.60000, value: 0.65000} - - {high: 0.80000, low: 0.70000, value: 0.75000} - - {high: 1.00000, low: 0.80000, value: 0.90000} diff --git a/data/TASSO_35_HA_PLUS_MINUS.yaml b/data/TASSO_35_HA_PLUS_MINUS.yaml index 7773fe254..10beef2f2 100644 --- a/data/TASSO_35_HA_PLUS_MINUS.yaml +++ b/data/TASSO_35_HA_PLUS_MINUS.yaml @@ -91,25 +91,3 @@ independent_variables: - {high: 0.70000, low: 0.60000, value: 0.65000, factor: 1.00000} - {high: 0.80000, low: 0.70000, value: 0.75000, factor: 1.00000} - {high: 1.00000, low: 0.80000, value: 0.90000, factor: 1.00000} -- header: {name: "xp"} - values: - - {high: 0.03000, low: 0.02000, value: 0.02500} - - {high: 0.04000, low: 0.03000, value: 0.03500} - - {high: 0.05000, low: 0.04000, value: 0.04500} - - {high: 0.06000, low: 0.05000, value: 0.05500} - - {high: 0.08000, low: 0.06000, value: 0.07000} - - {high: 0.10000, low: 0.08000, value: 0.09000} - - {high: 0.12000, low: 0.10000, value: 0.11000} - - {high: 0.14000, low: 0.12000, value: 0.13000} - - {high: 0.16000, low: 0.14000, value: 0.15000} - - {high: 0.18000, low: 0.16000, value: 0.17000} - - {high: 0.20000, low: 0.18000, value: 0.19000} - - {high: 0.25000, low: 0.20000, value: 0.22500} - - {high: 0.30000, low: 0.25000, value: 0.27500} - - {high: 0.35000, low: 0.30000, value: 0.32500} - - {high: 0.40000, low: 0.35000, value: 0.37500} - - {high: 0.50000, low: 0.40000, value: 0.45000} - - {high: 0.60000, low: 0.50000, value: 0.55000} - - {high: 0.70000, low: 0.60000, value: 0.65000} - - {high: 0.80000, low: 0.70000, value: 0.75000} - - {high: 1.00000, low: 0.80000, value: 0.90000} diff --git a/data/TASSO_44_HA_PLUS_MINUS.yaml b/data/TASSO_44_HA_PLUS_MINUS.yaml index 2cbf2db5c..dfb4efbb8 100644 --- a/data/TASSO_44_HA_PLUS_MINUS.yaml +++ b/data/TASSO_44_HA_PLUS_MINUS.yaml @@ -91,25 +91,3 @@ independent_variables: - {high: 0.70000, low: 0.60000, value: 0.65000, factor: 1.00000} - {high: 0.80000, low: 0.70000, value: 0.75000, factor: 1.00000} - {high: 1.00000, low: 0.80000, value: 0.90000, factor: 1.00000} -- header: {name: "xp"} - values: - - {high: 0.03000, low: 0.02000, value: 0.02500} - - {high: 0.04000, low: 0.03000, value: 0.03500} - - {high: 0.05000, low: 0.04000, value: 0.04500} - - {high: 0.06000, low: 0.05000, value: 0.05500} - - {high: 0.08000, low: 0.06000, value: 0.07000} - - {high: 0.10000, low: 0.08000, value: 0.09000} - - {high: 0.12000, low: 0.10000, value: 0.11000} - - {high: 0.14000, low: 0.12000, value: 0.13000} - - {high: 0.16000, low: 0.14000, value: 0.15000} - - {high: 0.18000, low: 0.16000, value: 0.17000} - - {high: 0.20000, low: 0.18000, value: 0.19000} - - {high: 0.25000, low: 0.20000, value: 0.22500} - - {high: 0.30000, low: 0.25000, value: 0.27500} - - {high: 0.35000, low: 0.30000, value: 0.32500} - - {high: 0.40000, low: 0.35000, value: 0.37500} - - {high: 0.50000, low: 0.40000, value: 0.45000} - - {high: 0.60000, low: 0.50000, value: 0.55000} - - {high: 0.70000, low: 0.60000, value: 0.65000} - - {high: 0.80000, low: 0.70000, value: 0.75000} - - {high: 1.00000, low: 0.80000, value: 0.90000} diff --git a/data/TPC_HA_PLUS_MINUS.yaml b/data/TPC_HA_PLUS_MINUS.yaml index e24e62cd9..fa565807c 100644 --- a/data/TPC_HA_PLUS_MINUS.yaml +++ b/data/TPC_HA_PLUS_MINUS.yaml @@ -147,39 +147,3 @@ independent_variables: - {high: 0.60000, low: 0.50000, value: 0.55000, factor: 1.00000} - {high: 0.70000, low: 0.60000, value: 0.65000, factor: 1.00000} - {high: 0.90000, low: 0.70000, value: 0.80000, factor: 1.00000} -- header: {name: "xp"} - values: - - {high: 0.01500, low: 0.01000, value: 0.01250} - - {high: 0.02000, low: 0.01500, value: 0.01750} - - {high: 0.02500, low: 0.02000, value: 0.02250} - - {high: 0.03000, low: 0.02500, value: 0.02750} - - {high: 0.03500, low: 0.03000, value: 0.03250} - - {high: 0.04000, low: 0.03500, value: 0.03750} - - {high: 0.04500, low: 0.04000, value: 0.04250} - - {high: 0.05000, low: 0.04500, value: 0.04750} - - {high: 0.05500, low: 0.05000, value: 0.05250} - - {high: 0.06000, low: 0.05500, value: 0.05750} - - {high: 0.06500, low: 0.06000, value: 0.06250} - - {high: 0.07000, low: 0.06500, value: 0.06750} - - {high: 0.07500, low: 0.07000, value: 0.07250} - - {high: 0.08000, low: 0.07500, value: 0.07750} - - {high: 0.08500, low: 0.08000, value: 0.08250} - - {high: 0.09000, low: 0.08500, value: 0.08750} - - {high: 0.10000, low: 0.09000, value: 0.09500} - - {high: 0.11000, low: 0.10000, value: 0.10500} - - {high: 0.12000, low: 0.11000, value: 0.11500} - - {high: 0.13000, low: 0.12000, value: 0.12500} - - {high: 0.14000, low: 0.13000, value: 0.13500} - - {high: 0.15000, low: 0.14000, value: 0.14500} - - {high: 0.16000, low: 0.15000, value: 0.15500} - - {high: 0.18000, low: 0.16000, value: 0.17000} - - {high: 0.20000, low: 0.18000, value: 0.19000} - - {high: 0.22000, low: 0.20000, value: 0.21000} - - {high: 0.25000, low: 0.22000, value: 0.23500} - - {high: 0.30000, low: 0.25000, value: 0.27500} - - {high: 0.35000, low: 0.30000, value: 0.32500} - - {high: 0.40000, low: 0.35000, value: 0.37500} - - {high: 0.50000, low: 0.40000, value: 0.45000} - - {high: 0.60000, low: 0.50000, value: 0.55000} - - {high: 0.70000, low: 0.60000, value: 0.65000} - - {high: 0.90000, low: 0.70000, value: 0.80000} diff --git a/data/rawdata/charged_hadrons/DELPHI/HEPData-ins448370-v1-Table_2.csv b/data/rawdata/charged_hadrons/DELPHI/HEPData-ins448370-v1-Table_2.csv new file mode 100644 index 000000000..e54c5ea93 --- /dev/null +++ b/data/rawdata/charged_hadrons/DELPHI/HEPData-ins448370-v1-Table_2.csv @@ -0,0 +1,36 @@ +#: table_doi: 10.17182/hepdata.47405.v1/t2 +#: name: Table 2 +#: description: Longitudinal component of the differential cross section. + +#: data_file: Table2.yaml +#: keyword reactions: E+ E- --> CHGD-HADRON X +#: keyword observables: DSIG/DX | FD +#: keyword phrases: Inclusive | Single Differential Cross Section | E+ E- Scattering +#: keyword cmenergies: 91.2 +#: RE,,,E+ E- --> CHGD-HADRON X +#: RE(Q=TOT),,,E+ E- --> HADRONS +#: SQRT(S) [GeV],,,91.2,,,, +X(DEF=2*P(P=3)/SQRT(S)),X(DEF=2*P(P=3)/SQRT(S)) LOW,X(DEF=2*P(P=3)/SQRT(S)) HIGH,(1/SIG(Q=TOT))*D(SIG(C=L))/DX,stat +,stat -,sys +,sys - +0.005,0.0,0.01,117.0,0.7,-0.7,7.5,-7.5 +0.015,0.01,0.02,84.2,0.4,-0.4,5.5,-5.5 +0.025,0.02,0.03,37.1,0.4,-0.4,3.2,-3.2 +0.035,0.03,0.04,18.5,0.3,-0.3,2.9,-2.9 +0.045,0.04,0.05,11.3,0.3,-0.3,1.6,-1.6 +0.055,0.05,0.06,7.4,0.2,-0.2,1.2,-1.2 +0.065,0.06,0.07,5.5,0.2,-0.2,0.9,-0.9 +0.07500000000000001,0.07,0.08,3.8,0.2,-0.2,0.7,-0.7 +0.08499999999999999,0.08,0.09,2.3,0.2,-0.2,0.5,-0.5 +0.095,0.09,0.1,1.9,0.2,-0.2,0.5,-0.5 +0.11,0.1,0.12,1.1,0.1,-0.1,0.3,-0.3 +0.13,0.12,0.14,0.64,0.08,-0.08,0.25,-0.25 +0.15000000000000002,0.14,0.16,0.5,0.07,-0.07,0.15,-0.15 +0.16999999999999998,0.16,0.18,0.21,0.07,-0.07,0.17,-0.17 +0.19,0.18,0.2,0.09,0.06,-0.06,0.1,-0.1 +0.225,0.2,0.25,0.08,0.03,-0.03,0.05,-0.05 +0.275,0.25,0.3,0.03,0.02,-0.02,0.03,-0.03 +0.35,0.3,0.4,0.007,0.012,-0.012,0.02,-0.02 +0.45,0.4,0.5,0.008,0.008,-0.008,0.022,-0.022 +0.55,0.5,0.6,0.006,0.005,-0.005,0.007,-0.007 +0.7,0.6,0.8,0.0004,0.0021,-0.0021,0.0043,-0.0043 +0.9,0.8,1.0,0.0012,0.0007,-0.0007,0.002,-0.002 + diff --git a/data/rawdata/charged_hadrons/DELPHI/HEPData-ins448370-v1-Table_7.csv b/data/rawdata/charged_hadrons/DELPHI/HEPData-ins448370-v1-Table_7.csv new file mode 100644 index 000000000..20c5c1704 --- /dev/null +++ b/data/rawdata/charged_hadrons/DELPHI/HEPData-ins448370-v1-Table_7.csv @@ -0,0 +1,63 @@ +#: table_doi: 10.17182/hepdata.47405.v1/t7 +#: name: Table 7 +#: description: Transverse and longitudinal components of the differential cross section. + +#: data_file: Table7.yaml +#: keyword reactions: E+ E- --> BQBAR BQ X | E+ E- --> CHGD-HADRON X +#: keyword observables: DSIG/DX +#: keyword phrases: Inclusive | Single Differential Cross Section | E+ E- Scattering +#: keyword cmenergies: 91.2 +#: RE,,,E+ E- --> BQ < CHGD-HADRON X > BQBAR + BQBAR < CHGD-HADRON X > BQ +#: RE(Q=TOT),,,E+ E- --> HADRONS +#: SQRT(S) [GeV],,,91.2,,,, +X(DEF=2*P(P=4)/SQRT(S)),X(DEF=2*P(P=4)/SQRT(S)) LOW,X(DEF=2*P(P=4)/SQRT(S)) HIGH,(1/SIG(Q=TOT))*D(SIG(C=T))/DX,stat +,stat -,sys +,sys - +0.005,0.0,0.01,331.0,9.0,-9.0,22.0,-22.0 +0.015,0.01,0.02,369.0,6.0,-6.0,12.0,-12.0 +0.025,0.02,0.03,264.0,5.0,-5.0,12.0,-12.0 +0.035,0.03,0.04,200.0,5.0,-5.0,9.0,-9.0 +0.045,0.04,0.05,141.0,4.0,-4.0,4.0,-4.0 +0.055,0.05,0.06,120.0,4.0,-4.0,4.0,-4.0 +0.065,0.06,0.07,94.0,3.0,-3.0,3.0,-3.0 +0.07500000000000001,0.07,0.08,74.0,3.0,-3.0,3.0,-3.0 +0.08499999999999999,0.08,0.09,68.0,3.0,-3.0,3.0,-3.0 +0.095,0.09,0.1,53.0,2.0,-2.0,3.0,-3.0 +0.11,0.1,0.12,40.0,2.0,-2.0,3.0,-3.0 +0.13,0.12,0.14,28.0,1.0,-1.0,2.0,-2.0 +0.15000000000000002,0.14,0.16,19.0,1.0,-1.0,1.0,-1.0 +0.16999999999999998,0.16,0.18,15.9,1.0,-1.0,1.1,-1.1 +0.19,0.18,0.2,11.2,0.8,-0.8,1.1,-1.1 +0.225,0.2,0.25,7.8,0.4,-0.4,0.6,-0.6 +0.275,0.25,0.3,4.0,0.3,-0.3,0.3,-0.3 +0.35,0.3,0.4,1.8,0.1,-0.1,0.2,-0.2 +0.45,0.4,0.5,0.44,0.07,-0.07,0.07,-0.07 +0.55,0.5,0.6,0.15,0.05,-0.05,0.05,-0.05 +0.7,0.6,0.8,0.04,0.02,-0.02,0.03,-0.03 +0.9,0.8,1.0,0.0002,0.0004,-0.0004,0.0004,-0.0004 + +#: RE,,,E+ E- --> BQ < CHGD-HADRON X > BQBAR + BQBAR < CHGD-HADRON X > BQ +#: RE(Q=TOT),,,E+ E- --> HADRONS +#: SQRT(S) [GeV],,,91.2,,,, +X(DEF=2*P(P=4)/SQRT(S)),X(DEF=2*P(P=4)/SQRT(S)) LOW,X(DEF=2*P(P=4)/SQRT(S)) HIGH,(1/SIG(Q=TOT))*D(SIG(C=L))/DX,stat +,stat -,sys +,sys - +0.005,0.0,0.01,113.0,7.0,-7.0,13.0,-13.0 +0.015,0.01,0.02,89.0,4.0,-4.0,9.0,-9.0 +0.025,0.02,0.03,45.0,4.0,-4.0,7.0,-7.0 +0.035,0.03,0.04,19.0,3.0,-3.0,6.0,-6.0 +0.045,0.04,0.05,18.0,3.0,-3.0,3.0,-3.0 +0.055,0.05,0.06,6.0,2.0,-2.0,2.0,-2.0 +0.065,0.06,0.07,6.0,2.0,-2.0,2.0,-2.0 +0.07500000000000001,0.07,0.08,7.0,2.0,-2.0,2.0,-2.0 +0.08499999999999999,0.08,0.09,1.0,2.0,-2.0,2.0,-2.0 +0.095,0.09,0.1,2.0,2.0,-2.0,2.0,-2.0 +0.11,0.1,0.12,3.0,1.0,-1.0,2.0,-2.0 +0.13,0.12,0.14,1.6,0.9,-0.9,1.3,-1.3 +0.15000000000000002,0.14,0.16,1.7,0.7,-0.7,0.7,-0.7 +0.16999999999999998,0.16,0.18,0.4,0.7,-0.7,0.7,-0.7 +0.19,0.18,0.2,0.8,0.6,-0.6,0.9,-0.9 +0.225,0.2,0.25,-0.2,0.3,-0.3,0.2,-0.2 +0.275,0.25,0.3,-0.03,0.2,-0.2,0.11,-0.11 +0.35,0.3,0.4,0.04,0.1,-0.1,0.11,-0.11 +0.45,0.4,0.5,0.13,0.05,-0.05,0.19,-0.19 +0.55,0.5,0.6,0.03,0.03,-0.03,0.02,-0.02 +0.7,0.6,0.8,0.001,0.012,-0.012,0.018,-0.018 +0.9,0.8,1.0,-0.0001,0.0003,-0.0003,0.0001,-0.0001 + diff --git a/data/rawdata/charged_hadrons/DELPHI/HEPData-ins448370-v1-Table_8.csv b/data/rawdata/charged_hadrons/DELPHI/HEPData-ins448370-v1-Table_8.csv new file mode 100644 index 000000000..62d639641 --- /dev/null +++ b/data/rawdata/charged_hadrons/DELPHI/HEPData-ins448370-v1-Table_8.csv @@ -0,0 +1,63 @@ +#: table_doi: 10.17182/hepdata.47405.v1/t8 +#: name: Table 8 +#: description: Transverse and longitudinal componentS of the differential cross section. + +#: data_file: Table8.yaml +#: keyword reactions: E+ E- --> CHGD-HADRON X | E+ E- --> DQBAR DQ | E+ E- --> SQBAR SQ | E+ E- --> UQBAR UQ +#: keyword observables: DSIG/DX +#: keyword phrases: Inclusive | Exclusive | Single Differential Cross Section | E+ E- Scattering +#: keyword cmenergies: 91.2 +#: RE,,,E+ E- --> UQ < CHGD-HADRON X > UQBAR + UQBAR < CHGD-HADRON X > UQ + DQ < CHGD-HADRON X > DQBAR + DQBAR < CHGD-HADRON X > DQ + SQ < CHGD-HADRON X > SQBAR + SQBAR < CHGD-HADRON X > SE +#: RE(Q=TOT),,,E+ E- --> 2HADRON (HADRONS) +#: SQRT(S) [GeV],,,91.2,,,, +X(DEF=2*P(P=4)/SQRT(S)),X(DEF=2*P(P=4)/SQRT(S)) LOW,X(DEF=2*P(P=4)/SQRT(S)) HIGH,(1/SIG(Q=TOT))*D(SIG(C=T))/DX,stat +,stat -,sys +,sys - +0.005,0.0,0.01,280.0,2.0,-2.0,10.0,-10.0 +0.015,0.01,0.02,317.0,1.0,-1.0,4.0,-4.0 +0.025,0.02,0.03,218.0,1.0,-1.0,3.0,-3.0 +0.035,0.03,0.04,158.4,1.0,-1.0,2.6,-2.6 +0.045,0.04,0.05,117.5,0.9,-0.9,1.2,-1.2 +0.055,0.05,0.06,91.8,0.7,-0.7,0.9,-0.9 +0.065,0.06,0.07,73.7,0.7,-0.7,0.7,-0.7 +0.07500000000000001,0.07,0.08,61.3,0.6,-0.6,0.7,-0.7 +0.08499999999999999,0.08,0.09,51.6,0.6,-0.6,0.7,-0.7 +0.095,0.09,0.1,43.4,0.5,-0.5,0.5,-0.5 +0.11,0.1,0.12,35.0,0.3,-0.3,0.5,-0.5 +0.13,0.12,0.14,26.9,0.3,-0.3,0.5,-0.5 +0.15000000000000002,0.14,0.16,20.5,0.3,-0.3,0.4,-0.4 +0.16999999999999998,0.16,0.18,15.9,0.2,-0.2,0.3,-0.3 +0.19,0.18,0.2,13.7,0.2,-0.2,0.3,-0.3 +0.225,0.2,0.25,9.4,0.1,-0.1,0.2,-0.2 +0.275,0.25,0.3,5.92,0.09,-0.09,0.1,-0.1 +0.35,0.3,0.4,3.22,0.05,-0.05,0.06,-0.06 +0.45,0.4,0.5,1.42,0.03,-0.03,0.06,-0.06 +0.55,0.5,0.6,0.68,0.02,-0.02,0.03,-0.03 +0.7,0.6,0.8,0.24,0.01,-0.01,0.01,-0.01 +0.9,0.8,1.0,0.024,0.004,-0.004,0.004,-0.004 + +#: RE,,,E+ E- --> UQ < CHGD-HADRON X > UQBAR + UQBAR < CHGD-HADRON X > UQ + DQ < CHGD-HADRON X > DQBAR + DQBAR < CHGD-HADRON X > DQ + SQ < CHGD-HADRON X > SQBAR + SQBAR < CHGD-HADRON X > SE +#: RE(Q=TOT),,,E+ E- --> 2HADRON (HADRONS) +#: SQRT(S) [GeV],,,91.2,,,, +X(DEF=2*P(P=4)/SQRT(S)),X(DEF=2*P(P=4)/SQRT(S)) LOW,X(DEF=2*P(P=4)/SQRT(S)) HIGH,(1/SIG(Q=TOT))*D(SIG(C=L))/DX,stat +,stat -,sys +,sys - +0.005,0.0,0.01,115.0,1.0,-1.0,6.0,-6.0 +0.015,0.01,0.02,79.0,1.0,-1.0,4.0,-4.0 +0.025,0.02,0.03,33.7,0.9,-0.9,2.6,-2.6 +0.035,0.03,0.04,15.4,0.7,-0.7,2.1,-2.1 +0.045,0.04,0.05,9.6,0.6,-0.6,1.0,-1.0 +0.055,0.05,0.06,5.6,0.5,-0.5,0.6,-0.6 +0.065,0.06,0.07,4.3,0.5,-0.5,0.5,-0.5 +0.07500000000000001,0.07,0.08,2.3,0.4,-0.4,0.4,-0.4 +0.08499999999999999,0.08,0.09,1.0,0.4,-0.4,0.4,-0.4 +0.095,0.09,0.1,1.1,0.4,-0.4,0.5,-0.5 +0.11,0.1,0.12,0.4,0.2,-0.2,0.3,-0.3 +0.13,0.12,0.14,-0.3,0.2,-0.2,0.3,-0.3 +0.15000000000000002,0.14,0.16,0.02,0.19,-0.19,0.16,-0.16 +0.16999999999999998,0.16,0.18,0.32,0.17,-0.17,0.19,-0.19 +0.19,0.18,0.2,-0.46,0.15,-0.15,0.36,-0.36 +0.225,0.2,0.25,-0.16,0.08,-0.08,0.13,-0.13 +0.275,0.25,0.3,-0.12,0.07,-0.07,0.14,-0.14 +0.35,0.3,0.4,-0.1,0.03,-0.03,0.11,-0.11 +0.45,0.4,0.5,-0.01,0.02,-0.02,0.02,-0.02 +0.55,0.5,0.6,-0.02,0.02,-0.02,0.02,-0.02 +0.7,0.6,0.8,-0.01,0.01,-0.01,0.04,-0.04 +0.9,0.8,1.0,0.005,0.003,-0.003,0.004,-0.004 + diff --git a/data/rawdata/charged_hadrons/OPAL/HEPData-ins395450-v1-Table_2.csv b/data/rawdata/charged_hadrons/OPAL/HEPData-ins395450-v1-Table_2.csv new file mode 100644 index 000000000..b435fb824 --- /dev/null +++ b/data/rawdata/charged_hadrons/OPAL/HEPData-ins395450-v1-Table_2.csv @@ -0,0 +1,35 @@ +#: table_doi: 10.17182/hepdata.48040.v1/t2 +#: name: Table 2 +#: description: Longitudinal component of the fragmentation function. + +#: data_file: Table2.yaml +#: keyword reactions: E+ E- --> CHARGED X +#: keyword observables: DSIG/DX +#: keyword phrases: Inclusive | Single Differential Cross Section | E+ E- Scattering +#: keyword cmenergies: 91.2 +#: RE,,,E+ E- --> CHARGED X +#: SQRT(S) [GeV],,,91.2,,,, +X(DEF=2*E(P=3)/SQRT(S)),X(DEF=2*E(P=3)/SQRT(S)) LOW,X(DEF=2*E(P=3)/SQRT(S)) HIGH,(1/SIG(NAME=TOTAL))*DSIG(NAME=LONGITUDINAL)/DX,stat +,stat -,sys +,sys - +0.005,0.0,0.01,89.7,0.4,-0.4,15.3,-15.3 +0.015,0.01,0.02,79.2,0.4,-0.4,5.6,-5.6 +0.025,0.02,0.03,40.1,0.3,-0.3,2.9,-2.9 +0.035,0.03,0.04,21.9,0.2,-0.2,1.3,-1.3 +0.045,0.04,0.05,13.1,0.2,-0.2,0.9,-0.9 +0.055,0.05,0.06,8.39,0.17,-0.17,0.72,-0.72 +0.065,0.06,0.07,5.79,0.15,-0.15,1.03,-1.03 +0.07500000000000001,0.07,0.08,4.08,0.14,-0.14,0.47,-0.47 +0.08499999999999999,0.08,0.09,2.7,0.13,-0.13,0.35,-0.35 +0.095,0.09,0.1,2.16,0.12,-0.12,0.27,-0.27 +0.11,0.1,0.12,1.6,0.07,-0.07,0.23,-0.23 +0.13,0.12,0.14,0.93,0.06,-0.06,0.36,-0.36 +0.15000000000000002,0.14,0.16,0.61,0.06,-0.06,0.16,-0.16 +0.16999999999999998,0.16,0.18,0.53,0.05,-0.05,0.17,-0.17 +0.19,0.18,0.2,0.35,0.04,-0.04,0.08,-0.08 +0.225,0.2,0.25,0.21,0.02,-0.02,0.08,-0.08 +0.275,0.25,0.3,0.067,0.018,-0.018,0.05,-0.05 +0.35,0.3,0.4,0.036,0.009,-0.009,0.033,-0.033 +0.45,0.4,0.5,0.012,0.006,-0.006,0.01,-0.01 +0.55,0.5,0.6,-0.003,0.004,-0.004,0.007,-0.007 +0.7,0.6,0.8,-0.0047,0.014,-0.014,0.0046,-0.0046 +0.9,0.8,1.0,-0.0018,0.003,-0.003,0.0024,-0.0024 + diff --git a/data/rawdata/charged_hadrons/filter.py b/data/rawdata/charged_hadrons/filter.py index 8213477ed..026f2d5a5 100644 --- a/data/rawdata/charged_hadrons/filter.py +++ b/data/rawdata/charged_hadrons/filter.py @@ -48,11 +48,6 @@ def filter_TASSO14_HA(): factor = 1. print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], factor), file=f) - print('- header: {name: "xp"}', file=f) - print(' values:', file=f) - for i in range(ndata): - print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' - % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) # TASSO22 - inclusive def filter_TASSO22_HA(): @@ -97,11 +92,6 @@ def filter_TASSO22_HA(): factor = 1. print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], factor), file=f) - print('- header: {name: "xp"}', file=f) - print(' values:', file=f) - for i in range(ndata): - print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' - % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) # TASSO35 - inclusive def filter_TASSO35_HA(): @@ -146,11 +136,6 @@ def filter_TASSO35_HA(): factor = 1. print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], factor), file=f) - print('- header: {name: "xp"}', file=f) - print(' values:', file=f) - for i in range(ndata): - print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' - % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) # TASSO44 - inclusive def filter_TASSO44_HA(): @@ -195,11 +180,6 @@ def filter_TASSO44_HA(): factor = 1. print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], factor), file=f) - print('- header: {name: "xp"}', file=f) - print(' values:', file=f) - for i in range(ndata): - print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' - % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) # TPC - inclusive def filter_TPC_KA(): @@ -244,11 +224,6 @@ def filter_TPC_KA(): factor = 1. print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], 1./factor), file=f) - print('- header: {name: "xp"}', file=f) - print(' values:', file=f) - for i in range(ndata): - print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' - % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) # ALEPH - inclusive def filter_ALEPH_HA(): @@ -294,11 +269,51 @@ def filter_ALEPH_HA(): factor = 1. print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], 1./factor), file=f) - print('- header: {name: "xp"}', file=f) + +# ALEPH - inclusive longitudinal +def filter_ALEPH_HA_L(): + nameexp = 'ALEPH_HA_L_PLUS_MINUS' + infile = 'ALEPH/HEPData-ins398195-v1-Table_3.csv' + ndata = 21 + cme = 91.20 #GeV + zmin = 0.01 + zmax = 0.90 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=11, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7,8], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "ALEPH longitudinal $h^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: HA}', file=f) + print(' - {name: charge, value: 0}', file=f) print(' values:', file=f) + for i in range(ndata): - print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' - % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+data.iloc[i,6]**2.)), file=f) + print(' - {label: mult, value: 0.01}', file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + + for i in range(ndata): + factor = 1. + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], 1./factor), file=f) # DELPHI - inclusive def filter_DELPHI_HA(): @@ -348,6 +363,54 @@ def filter_DELPHI_HA(): print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) +# DELPHI - inclusive longitudinal +def filter_DELPHI_HA_L(): + nameexp = 'DELPHI_HA_L_PLUS_MINUS' + infile = 'DELPHI/HEPData-ins448370-v1-Table_2.csv' + ndata = 22 + cme = 91.20 #GeV + zmin = 0.005 + zmax = 0.900 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=13, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "DELPHI longitudinal $h^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: HA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+data.iloc[i,6]**2.)), file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = 1. + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + # DELPHI - uds tagged def filter_DELPHI_HA_UDS(): nameexp = 'DELPHI_HA_PLUS_MINUS_UDS' @@ -396,7 +459,51 @@ def filter_DELPHI_HA_UDS(): for i in range(ndata): print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + +# DELPHI - uds tagged longitudinal +def filter_DELPHI_HA_L_UDS(): + nameexp = 'DELPHI_HA_L_PLUS_MINUS_UDS' + infile = 'DELPHI/HEPData-ins448370-v1-Table_8.csv' + ndata = 22 + cme = 91.20 #GeV + zmin = 0.005 + zmax = 0.900 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=40, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "DELPHI longitudinal $h^\\\\pm$ Multiplicity uds-tag"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: HA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [u,d,s]}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+data.iloc[i,6]**2.)), file=f) + print(' value: ', data.iloc[i,3], file=f) + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = 1. + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], factor), file=f) + # DELPHI - b tagged def filter_DELPHI_HA_B(): nameexp = 'DELPHI_HA_PLUS_MINUS_B' @@ -446,6 +553,50 @@ def filter_DELPHI_HA_B(): print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) +# DELPHI - b tagged +def filter_DELPHI_HA_L_B(): + nameexp = 'DELPHI_HA_L_PLUS_MINUS_B' + infile = 'DELPHI/HEPData-ins448370-v1-Table_7.csv' + ndata = 22 + cme = 91.20 #GeV + zmin = 0.005 + zmax = 0.900 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=40, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "DELPHI longitudinal $h^\\\\pm$ Multiplicity b-tag"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: HA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [b]}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+data.iloc[i,6]**2.)), file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = 1. + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], factor), file=f) + # OPAL - inclusive def filter_OPAL_HA(): nameexp = 'OPAL_HA_PLUS_MINUS' @@ -489,6 +640,49 @@ def filter_OPAL_HA(): print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], factor), file=f) +# OPAL - inclusive longitudinal +def filter_OPAL_HA_L(): + nameexp = 'OPAL_HA_L_PLUS_MINUS' + infile = 'OPAL/HEPData-ins395450-v1-Table_2.csv' + ndata = 22 + cme = 91.20 #GeV + zmin = 0.005 + zmax = 0.900 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=12, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "OPAL longitudinal $h^\\\\pm$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: HA}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,4]**2.+data.iloc[i,6]**2.)), file=f) + print(' value: ', data.iloc[i,3], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = 1 + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], factor), file=f) + # OPAL - uds tagged def filter_OPAL_HA_UDS(): nameexp = 'OPAL_HA_PLUS_MINUS_UDS' @@ -814,10 +1008,15 @@ def filter_SLD_HA_B(): filter_TASSO35_HA() filter_TASSO44_HA() filter_ALEPH_HA() +filter_ALEPH_HA_L() filter_DELPHI_HA() +filter_DELPHI_HA_L() filter_DELPHI_HA_UDS() +filter_DELPHI_HA_L_UDS() filter_DELPHI_HA_B() +filter_DELPHI_HA_L_B() filter_OPAL_HA() +filter_OPAL_HA_L() filter_SLD_HA() filter_SLD_HA_UDS() filter_SLD_HA_C() From acaa3a4678e091bc6138019c220580bdc1c0b2d3 Mon Sep 17 00:00:00 2001 From: enocera Date: Thu, 22 May 2025 17:27:20 -0700 Subject: [PATCH 15/29] Corrected observable for longitudinal SIA multiplicity: SIA_L --- data/ALEPH_HA_L_PLUS_MINUS.yaml | 2 +- data/DELPHI_HA_L_PLUS_MINUS.yaml | 2 +- data/DELPHI_HA_L_PLUS_MINUS_B.yaml | 2 +- data/DELPHI_HA_L_PLUS_MINUS_UDS.yaml | 2 +- data/OPAL_HA_L_PLUS_MINUS.yaml | 2 +- data/rawdata/charged_hadrons/filter.py | 10 +++++----- 6 files changed, 10 insertions(+), 10 deletions(-) diff --git a/data/ALEPH_HA_L_PLUS_MINUS.yaml b/data/ALEPH_HA_L_PLUS_MINUS.yaml index 400705a04..ea58761a4 100644 --- a/data/ALEPH_HA_L_PLUS_MINUS.yaml +++ b/data/ALEPH_HA_L_PLUS_MINUS.yaml @@ -1,7 +1,7 @@ dependent_variables: - header: {title: "ALEPH longitudinal $h^\\pm$ Multiplicity"} qualifiers: - - {name: process, value: SIA} + - {name: process, value: SIA_L} - {name: Vs, value: 91.2 , units: GeV} - {name: prefactor, value: 1} - {name: z, low: 0.01 , high: 0.9 , integrate: false} diff --git a/data/DELPHI_HA_L_PLUS_MINUS.yaml b/data/DELPHI_HA_L_PLUS_MINUS.yaml index 70287fbf0..a05361df5 100644 --- a/data/DELPHI_HA_L_PLUS_MINUS.yaml +++ b/data/DELPHI_HA_L_PLUS_MINUS.yaml @@ -1,7 +1,7 @@ dependent_variables: - header: {title: "DELPHI longitudinal $h^\\pm$ Multiplicity"} qualifiers: - - {name: process, value: SIA} + - {name: process, value: SIA_L} - {name: Vs, value: 91.2 , units: GeV} - {name: prefactor, value: 1} - {name: z, low: 0.005 , high: 0.9 , integrate: false} diff --git a/data/DELPHI_HA_L_PLUS_MINUS_B.yaml b/data/DELPHI_HA_L_PLUS_MINUS_B.yaml index b6a91047b..2170f1dba 100644 --- a/data/DELPHI_HA_L_PLUS_MINUS_B.yaml +++ b/data/DELPHI_HA_L_PLUS_MINUS_B.yaml @@ -1,7 +1,7 @@ dependent_variables: - header: {title: "DELPHI longitudinal $h^\\pm$ Multiplicity b-tag"} qualifiers: - - {name: process, value: SIA} + - {name: process, value: SIA_L} - {name: Vs, value: 91.2 , units: GeV} - {name: prefactor, value: 1} - {name: z, low: 0.005 , high: 0.9 , integrate: false} diff --git a/data/DELPHI_HA_L_PLUS_MINUS_UDS.yaml b/data/DELPHI_HA_L_PLUS_MINUS_UDS.yaml index 5ef01eb06..6ceaad1c5 100644 --- a/data/DELPHI_HA_L_PLUS_MINUS_UDS.yaml +++ b/data/DELPHI_HA_L_PLUS_MINUS_UDS.yaml @@ -1,7 +1,7 @@ dependent_variables: - header: {title: "DELPHI longitudinal $h^\\pm$ Multiplicity uds-tag"} qualifiers: - - {name: process, value: SIA} + - {name: process, value: SIA_L} - {name: Vs, value: 91.2 , units: GeV} - {name: prefactor, value: 1} - {name: z, low: 0.005 , high: 0.9 , integrate: false} diff --git a/data/OPAL_HA_L_PLUS_MINUS.yaml b/data/OPAL_HA_L_PLUS_MINUS.yaml index b9260d152..d2a1c2b1c 100644 --- a/data/OPAL_HA_L_PLUS_MINUS.yaml +++ b/data/OPAL_HA_L_PLUS_MINUS.yaml @@ -1,7 +1,7 @@ dependent_variables: - header: {title: "OPAL longitudinal $h^\\pm$ Multiplicity"} qualifiers: - - {name: process, value: SIA} + - {name: process, value: SIA_L} - {name: Vs, value: 91.2 , units: GeV} - {name: prefactor, value: 1} - {name: z, low: 0.005 , high: 0.9 , integrate: false} diff --git a/data/rawdata/charged_hadrons/filter.py b/data/rawdata/charged_hadrons/filter.py index 026f2d5a5..ad0b04085 100644 --- a/data/rawdata/charged_hadrons/filter.py +++ b/data/rawdata/charged_hadrons/filter.py @@ -292,7 +292,7 @@ def filter_ALEPH_HA_L(): print('dependent_variables:', file=f) print('- header: {title: "ALEPH longitudinal $h^\\\\pm$ Multiplicity"}', file=f) print(' qualifiers:', file=f) - print(' - {name: process, value: SIA}', file=f) + print(' - {name: process, value: SIA_L}', file=f) print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) print(' - {name: prefactor, value: 1}', file=f) print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) @@ -385,7 +385,7 @@ def filter_DELPHI_HA_L(): print('dependent_variables:', file=f) print('- header: {title: "DELPHI longitudinal $h^\\\\pm$ Multiplicity"}', file=f) print(' qualifiers:', file=f) - print(' - {name: process, value: SIA}', file=f) + print(' - {name: process, value: SIA_L}', file=f) print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) print(' - {name: prefactor, value: 1}', file=f) print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) @@ -482,7 +482,7 @@ def filter_DELPHI_HA_L_UDS(): print('dependent_variables:', file=f) print('- header: {title: "DELPHI longitudinal $h^\\\\pm$ Multiplicity uds-tag"}', file=f) print(' qualifiers:', file=f) - print(' - {name: process, value: SIA}', file=f) + print(' - {name: process, value: SIA_L}', file=f) print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) print(' - {name: prefactor, value: 1}', file=f) print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) @@ -575,7 +575,7 @@ def filter_DELPHI_HA_L_B(): print('dependent_variables:', file=f) print('- header: {title: "DELPHI longitudinal $h^\\\\pm$ Multiplicity b-tag"}', file=f) print(' qualifiers:', file=f) - print(' - {name: process, value: SIA}', file=f) + print(' - {name: process, value: SIA_L}', file=f) print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) print(' - {name: prefactor, value: 1}', file=f) print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) @@ -662,7 +662,7 @@ def filter_OPAL_HA_L(): print('dependent_variables:', file=f) print('- header: {title: "OPAL longitudinal $h^\\\\pm$ Multiplicity"}', file=f) print(' qualifiers:', file=f) - print(' - {name: process, value: SIA}', file=f) + print(' - {name: process, value: SIA_L}', file=f) print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) print(' - {name: prefactor, value: 1}', file=f) print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) From de431b2745bec8ce126e41389db82333c995e62f Mon Sep 17 00:00:00 2001 From: enocera Date: Thu, 22 May 2025 17:57:43 -0700 Subject: [PATCH 16/29] Added SIDIS COMPASS data for unidentified charged hadrons on an isoscalar target --- data/COMPASS_HA_MINUS.yaml | 2512 +++++++++++++++++ data/COMPASS_HA_PLUS.yaml | 2512 +++++++++++++++++ .../COMPASS/HEPData-ins1444985-v1-Table_3.csv | 325 +++ .../COMPASS/HEPData-ins1444985-v1-Table_4.csv | 325 +++ data/rawdata/charged_hadrons/filter.py | 123 + 5 files changed, 5797 insertions(+) create mode 100644 data/COMPASS_HA_MINUS.yaml create mode 100644 data/COMPASS_HA_PLUS.yaml create mode 100644 data/rawdata/charged_hadrons/COMPASS/HEPData-ins1444985-v1-Table_3.csv create mode 100644 data/rawdata/charged_hadrons/COMPASS/HEPData-ins1444985-v1-Table_4.csv diff --git a/data/COMPASS_HA_MINUS.yaml b/data/COMPASS_HA_MINUS.yaml new file mode 100644 index 000000000..b05200a4f --- /dev/null +++ b/data/COMPASS_HA_MINUS.yaml @@ -0,0 +1,2512 @@ +dependent_variables: +- header: {title: "COMPASS $K^-$ Multiplicities"} + qualifiers: + - {name: process, value: SIDIS} + - {name: observable, value: dsigma/dxdydz} + - {name: target_isoscalarity, value: 0.5} + - {name: prefactor, value: 1} + - {name: Vs, value: 17.34 , units: GeV} + - {name: Q, low: 1, high: 7.745966692414834, integrate: true} + - {name: x, low: 0.004, high: 0.4, integrate: true} + - {name: z, low: 0.2, high: 0.85, integrate: true} + - {name: PS_reduction, W: 5, ymin: 0.1, ymax: 0.7} + - {name: hadron, value: KA} + - {name: charge, value: -1} + values: + - errors: + - {label: unc, value: 0.06898} + - {label: add, value: 0.04035} + value: 2.2066 + - errors: + - {label: unc, value: 0.04888} + - {label: add, value: 0.04015} + value: 1.5523 + - errors: + - {label: unc, value: 0.03499} + - {label: add, value: 0.04005} + value: 1.0907 + - errors: + - {label: unc, value: 0.02585} + - {label: add, value: 0.04010} + value: 0.7841 + - errors: + - {label: unc, value: 0.02082} + - {label: add, value: 0.04053} + value: 0.6079 + - errors: + - {label: unc, value: 0.01611} + - {label: add, value: 0.04144} + value: 0.4402 + - errors: + - {label: unc, value: 0.01421} + - {label: add, value: 0.04322} + value: 0.3369 + - errors: + - {label: unc, value: 0.01425} + - {label: add, value: 0.04564} + value: 0.2612 + - errors: + - {label: unc, value: 0.01769} + - {label: add, value: 0.05110} + value: 0.2129 + - errors: + - {label: unc, value: 0.02606} + - {label: add, value: 0.05266} + value: 0.158 + - errors: + - {label: unc, value: 0.06694} + - {label: add, value: 0.04026} + value: 2.1878 + - errors: + - {label: unc, value: 0.04644} + - {label: add, value: 0.04013} + value: 1.511 + - errors: + - {label: unc, value: 0.03411} + - {label: add, value: 0.04004} + value: 1.1009 + - errors: + - {label: unc, value: 0.02537} + - {label: add, value: 0.04005} + value: 0.7871 + - errors: + - {label: unc, value: 0.02134} + - {label: add, value: 0.04041} + value: 0.58 + - errors: + - {label: unc, value: 0.03190} + - {label: add, value: 0.04055} + value: 0.6214 + - errors: + - {label: unc, value: 0.02159} + - {label: add, value: 0.04077} + value: 0.4552 + - errors: + - {label: unc, value: 0.01868} + - {label: add, value: 0.04341} + value: 0.3538 + - errors: + - {label: unc, value: 0.01560} + - {label: add, value: 0.05122} + value: 0.2499 + - errors: + - {label: unc, value: 0.01360} + - {label: add, value: 0.05037} + value: 0.2001 + - errors: + - {label: unc, value: 0.01218} + - {label: add, value: 0.05718} + value: 0.1553 + - errors: + - {label: unc, value: 0.01133} + - {label: add, value: 0.06412} + value: 0.1285 + - errors: + - {label: unc, value: 0.00779} + - {label: add, value: 0.08976} + value: 0.082 + - errors: + - {label: unc, value: 0.03575} + - {label: add, value: 0.04006} + value: 1.1242 + - errors: + - {label: unc, value: 0.02503} + - {label: add, value: 0.04003} + value: 0.7935 + - errors: + - {label: unc, value: 0.01939} + - {label: add, value: 0.04052} + value: 0.6022 + - errors: + - {label: unc, value: 0.01443} + - {label: add, value: 0.04121} + value: 0.4329 + - errors: + - {label: unc, value: 0.01171} + - {label: add, value: 0.04274} + value: 0.3332 + - errors: + - {label: unc, value: 0.00988} + - {label: add, value: 0.04635} + value: 0.2572 + - errors: + - {label: unc, value: 0.00840} + - {label: add, value: 0.04858} + value: 0.2042 + - errors: + - {label: unc, value: 0.00689} + - {label: add, value: 0.04856} + value: 0.1631 + - errors: + - {label: unc, value: 0.00654} + - {label: add, value: 0.05860} + value: 0.1297 + - errors: + - {label: unc, value: 0.00550} + - {label: add, value: 0.08028} + value: 0.0857 + - errors: + - {label: unc, value: 0.06764} + - {label: add, value: 0.04014} + value: 2.2164 + - errors: + - {label: unc, value: 0.04699} + - {label: add, value: 0.04009} + value: 1.5447 + - errors: + - {label: unc, value: 0.03374} + - {label: add, value: 0.04006} + value: 1.1044 + - errors: + - {label: unc, value: 0.02475} + - {label: add, value: 0.04006} + value: 0.8047 + - errors: + - {label: unc, value: 0.01780} + - {label: add, value: 0.04026} + value: 0.5703 + - errors: + - {label: unc, value: 0.01374} + - {label: add, value: 0.04052} + value: 0.4324 + - errors: + - {label: unc, value: 0.01063} + - {label: add, value: 0.04172} + value: 0.3183 + - errors: + - {label: unc, value: 0.00901} + - {label: add, value: 0.04370} + value: 0.2508 + - errors: + - {label: unc, value: 0.00762} + - {label: add, value: 0.04579} + value: 0.1922 + - errors: + - {label: unc, value: 0.00692} + - {label: add, value: 0.04785} + value: 0.1555 + - errors: + - {label: unc, value: 0.00651} + - {label: add, value: 0.05839} + value: 0.1096 + - errors: + - {label: unc, value: 0.01193} + - {label: add, value: 0.06990} + value: 0.0927 + - errors: + - {label: unc, value: 0.06657} + - {label: add, value: 0.04009} + value: 2.1853 + - errors: + - {label: unc, value: 0.04624} + - {label: add, value: 0.04006} + value: 1.5076 + - errors: + - {label: unc, value: 0.03322} + - {label: add, value: 0.04001} + value: 1.0738 + - errors: + - {label: unc, value: 0.02425} + - {label: add, value: 0.04004} + value: 0.7613 + - 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{value: 28.30300} + - {value: 28.14600} + - {value: 27.20900} + - {value: 26.17400} + - {value: 25.22800} + - {value: 24.33900} diff --git a/data/COMPASS_HA_PLUS.yaml b/data/COMPASS_HA_PLUS.yaml new file mode 100644 index 000000000..b078ecce9 --- /dev/null +++ b/data/COMPASS_HA_PLUS.yaml @@ -0,0 +1,2512 @@ +dependent_variables: +- header: {title: "COMPASS $h^+$ Multiplicities"} + qualifiers: + - {name: process, value: SIDIS} + - {name: observable, value: dsigma/dxdydz} + - {name: target_isoscalarity, value: 0.5} + - {name: prefactor, value: 1} + - {name: Vs, value: 17.34 , units: GeV} + - {name: Q, low: 1, high: 7.745966692414834, integrate: true} + - {name: x, low: 0.004, high: 0.4, integrate: true} + - {name: z, low: 0.2, high: 0.85, integrate: true} + - {name: PS_reduction, W: 5, ymin: 0.1, ymax: 0.7} + - {name: hadron, value: HA} + - {name: charge, value: 1} + values: + - errors: + - {label: unc, value: 0.07395} + - {label: add, value: 0.04035} + value: 2.3731 + - errors: + - {label: unc, value: 0.05193} + - 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Also given are the diffractive vector meson correction to the hadron count, $DVM^{h^{+}}$, and DIS count, $DVM^{DIS}$, as well as the radiative correction factors to the hadron count, $\eta^{h^{+}}$, and DIS count, $\eta^{DIS}$. The correction factors were applied to the raw multiplicity to arrive at the final multiplicity given in the table, $M^{h^{+}}$, as follows:, +,,,,,,,,,,,,,, +$M^{h^{+}}$ = $M_{raw}^{h^{+}}$ * $\frac{\eta^{h^{+}}} {\eta^{DIS}}$ * $\frac{ DVM^{h^{+}} } {DVM^{DIS} }$.,,,,,,,,,,,,,, +#: data_file: data3.yaml,,,,,,,,,,,,,, +#: data_license: ,,,,,,,,,,,,,, +#: keyword reactions: $\mu^{+}$ d --> $\mu'^{+}$ $h^{+}$ X,,,,,,,,,,,,,, +#: keyword observables: MULT,,,,,,,,,,,,,, +#: keyword phrases: ,,,,,,,,,,,,,, +#: keyword cmenergies: ,,,,,,,,,,,,,, +#: PLAB [GEV],,,,,,,160,,,,,,, +#: RE,,,,,,,$\mu^{+}$ d --> $\mu'^{+}$ $h^{+}$ X,,,,,,, +$x$,$x$ LOW,$x$ HIGH,$y$,$y$ LOW,$y$ HIGH,$ (GeV/c)^2$,$z^{h^{+}}$,$z^{h^{+}}$ LOW,$z^{h^{+}}$ HIGH,$M^{h^{+}}$,stat +,stat -,sys +,sys - +0.0087,0.004,0.01,0.44,0.3,0.5,1.149,0.223,0.2,0.25,2.3731,0.0176,-0.0176,0.1197,-0.1197 +0.0088,0.004,0.01,0.44,0.3,0.5,1.138,0.274,0.25,0.3,1.6525,0.0145,-0.0145,0.0831,-0.0831 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Also given are the diffractive vector meson correction to the hadron count, $DVM^{h^{-}}$, and DIS count, $DVM^{DIS}$, as well as the radiative correction factors to the hadron count, $\eta^{h^{-}}$, and DIS count, $\eta^{DIS}$. The correction factors were applied to the raw multiplicity to arrive at the final multiplicity given in the table, $M^{h^{-}}$, as follows:, +,,,,,,,,,,,,,, +$M^{h^{-}}$ = $M_{raw}^{h^{-}}$ * $\frac{\eta^{h^{-}}} {\eta^{DIS}}$ * $\frac{ DVM^{h^{-}} } {DVM^{DIS} }$.,,,,,,,,,,,,,, +#: data_file: data4.yaml,,,,,,,,,,,,,, +#: data_license: ,,,,,,,,,,,,,, +#: keyword reactions: $\mu^{+}$ d --> $\mu'^{+}$ $h^{-}$ X,,,,,,,,,,,,,, +#: keyword observables: MULT,,,,,,,,,,,,,, +#: keyword phrases: ,,,,,,,,,,,,,, +#: keyword cmenergies: ,,,,,,,,,,,,,, +#: PLAB [GEV],,,,,,,160,,,,,,, +#: RE,,,,,,,$\mu^{+}$ d --> $\mu'^{+}$ $h^{-}$ X,,,,,,, +$x$,$x$ LOW,$x$ HIGH,$y$,$y$ LOW,$y$ HIGH,$ (GeV/c)^2$,$z^{h^{-}}$,$z^{h^{-}}$ LOW,$z^{h^{-}}$ HIGH,$M^{h^{-}}$,stat +,stat -,sys +,sys - +0.0087,0.004,0.01,0.44,0.3,0.5,1.149,0.223,0.2,0.25,2.2066,0.0173,-0.0173,0.1113,-0.1113 +0.0088,0.004,0.01,0.44,0.3,0.5,1.138,0.274,0.25,0.3,1.5523,0.0143,-0.0143,0.0779,-0.0779 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+0.2502,0.18,0.4,0.33,0.3,0.5,24.339,0.674,0.65,0.7,0.0714,0.01,-0.01,0.0036,-0.0036 diff --git a/data/rawdata/charged_hadrons/filter.py b/data/rawdata/charged_hadrons/filter.py index ad0b04085..ef38bf976 100644 --- a/data/rawdata/charged_hadrons/filter.py +++ b/data/rawdata/charged_hadrons/filter.py @@ -1000,6 +1000,127 @@ def filter_SLD_HA_B(): print(' - {value: %7.5f, factor: %7.5f}' % (factor * data.iloc[i,0], 1./factor), file=f) +# COMPASS - SIDIS, h+ +def filter_COMPASS_HA_PLUS(): + nameexp = 'COMPASS_HA_PLUS' + infile = 'COMPASS/HEPData-ins1444985-v1-Table_3.csv' + ndata = 311 + cme = 17.34 #GeV + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=14, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "COMPASS $h^+$ Multiplicities"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIDIS}', file=f) + print(' - {name: observable, value: dsigma/dxdydz}', file=f) + print(' - {name: target_isoscalarity, value: 0.5}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: Q, low: 1, high: 7.745966692414834, integrate: true}', file=f) + print(' - {name: x, low: 0.004, high: 0.4, integrate: true}', file=f) + print(' - {name: z, low: 0.2, high: 0.85, integrate: true}', file=f) + print(' - {name: PS_reduction, W: 5, ymin: 0.1, ymax: 0.7}', file=f) + print(' - {name: hadron, value: HA}', file=f) + print(' - {name: charge, value: 1}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,11]**2+(0.6*data.iloc[i,13])**2)), file=f) + print(' - {label: add, value: %7.5f}' % (0.8*data.iloc[i,13]/data.iloc[i,10]), file=f) + print(' value: ', data.iloc[i,10], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,9], data.iloc[i,8], data.iloc[i,7]), file=f) + print('- header: {name: "x"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + print('- header: {name: "y"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,5], data.iloc[i,4], data.iloc[i,3]) , file=f) + print('- header: {name: "Q2"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {value: %7.5f}' + % (data.iloc[i,6]) , file=f) + +# COMPASS - SIDIS, h- +def filter_COMPASS_HA_MINUS(): + nameexp = 'COMPASS_HA_MINUS' + infile = 'COMPASS/HEPData-ins1444985-v1-Table_4.csv' + ndata = 311 + cme = 17.34 #GeV + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=14, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "COMPASS $K^-$ Multiplicities"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIDIS}', file=f) + print(' - {name: observable, value: dsigma/dxdydz}', file=f) + print(' - {name: target_isoscalarity, value: 0.5}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: Q, low: 1, high: 7.745966692414834, integrate: true}', file=f) + print(' - {name: x, low: 0.004, high: 0.4, integrate: true}', file=f) + print(' - {name: z, low: 0.2, high: 0.85, integrate: true}', file=f) + print(' - {name: PS_reduction, W: 5, ymin: 0.1, ymax: 0.7}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: -1}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,11]**2+(0.6*data.iloc[i,13])**2)), file=f) + print(' - {label: add, value: %7.5f}' % (0.8*data.iloc[i,13]/data.iloc[i,10]), file=f) + print(' value: ', data.iloc[i,10], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,9], data.iloc[i,8], data.iloc[i,7]), file=f) + print('- header: {name: "x"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) + print('- header: {name: "y"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,5], data.iloc[i,4], data.iloc[i,3]) , file=f) + print('- header: {name: "Q2"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {value: %7.5f}' + % (data.iloc[i,6]) , file=f) # Filter data filter_TASSO14_HA() @@ -1021,3 +1142,5 @@ def filter_SLD_HA_B(): filter_SLD_HA_UDS() filter_SLD_HA_C() filter_SLD_HA_B() +filter_COMPASS_HA_PLUS() +filter_COMPASS_HA_MINUS() From 1d46bd2ceb7f393bb09ebea032fbfd5751b19215 Mon Sep 17 00:00:00 2001 From: enocera Date: Fri, 23 May 2025 09:29:33 -0700 Subject: [PATCH 17/29] Added COMPASS 2024 data for pions, kaons, and charged hadrons --- data/COMPASS_HA_MINUS_2024.yaml | 2440 +++++++++++++++++ data/COMPASS_HA_PLUS_2024.yaml | 2440 +++++++++++++++++ data/COMPASS_KA_MINUS_2024.yaml | 2408 ++++++++++++++++ data/COMPASS_KA_PLUS_2024.yaml | 2408 ++++++++++++++++ data/COMPASS_PI_MINUS_2024.yaml | 2440 +++++++++++++++++ data/COMPASS_PI_PLUS_2024.yaml | 2440 +++++++++++++++++ .../charged_hadrons/COMPASS_2024/Table_HA.csv | 303 ++ data/rawdata/charged_hadrons/filter.py | 126 +- data/rawdata/kaon/COMPASS_2024/Table_KA.csv | 299 ++ data/rawdata/kaon/filter.py | 124 + data/rawdata/pion/COMPASS_2024/Table_PI.csv | 303 ++ data/rawdata/pion/filter.py | 128 +- 12 files changed, 15855 insertions(+), 4 deletions(-) create mode 100644 data/COMPASS_HA_MINUS_2024.yaml create mode 100644 data/COMPASS_HA_PLUS_2024.yaml create mode 100644 data/COMPASS_KA_MINUS_2024.yaml create mode 100644 data/COMPASS_KA_PLUS_2024.yaml create mode 100644 data/COMPASS_PI_MINUS_2024.yaml create mode 100644 data/COMPASS_PI_PLUS_2024.yaml create mode 100644 data/rawdata/charged_hadrons/COMPASS_2024/Table_HA.csv create mode 100644 data/rawdata/kaon/COMPASS_2024/Table_KA.csv create mode 100644 data/rawdata/pion/COMPASS_2024/Table_PI.csv diff --git a/data/COMPASS_HA_MINUS_2024.yaml b/data/COMPASS_HA_MINUS_2024.yaml new file mode 100644 index 000000000..c649423be --- /dev/null +++ b/data/COMPASS_HA_MINUS_2024.yaml @@ -0,0 +1,2440 @@ +dependent_variables: +- header: {title: "COMPASS 2024 $h^-$ Multiplicities"} + qualifiers: + - {name: process, value: SIDIS} + - {name: observable, value: dsigma/dxdydz} + - {name: target_isoscalarity, value: 1.0} + - {name: prefactor, value: 1} + - {name: Vs, value: 17.34 , units: GeV} + - {name: Q, low: 1, high: 7.745966692414834, integrate: true} + - {name: x, low: 0.004, high: 0.4, integrate: true} + - {name: z, low: 0.2, high: 0.85, integrate: true} + - {name: PS_reduction, W: 5, ymin: 0.1, ymax: 0.7} + - {name: hadron, value: HA} + - {name: charge, value: -1} + values: + - errors: + - {label: unc, value: 0.08050} + - {label: add, value: 0.04026} + value: 2.5299 + - errors: + - {label: unc, value: 0.05664} + - {label: add, value: 0.04035} + value: 1.74937 + - errors: + - {label: unc, value: 0.04147} + - {label: add, value: 0.04083} + value: 1.23602 + - errors: + - {label: unc, value: 0.03148} + - {label: add, value: 0.04134} + value: 0.89865 + - errors: + - {label: unc, value: 0.02425} + - {label: add, value: 0.04255} + value: 0.65312 + - errors: + - {label: unc, value: 0.01900} + - {label: add, value: 0.04421} + value: 0.47351 + - errors: + - {label: unc, value: 0.01694} + - {label: add, value: 0.04712} + value: 0.35856 + - errors: + - {label: unc, value: 0.01696} + - {label: add, value: 0.05166} + value: 0.27656 + - errors: + - {label: unc, value: 0.08472} + - {label: add, value: 0.04404} + value: 2.504 + - errors: + - {label: unc, value: 0.05917} + - {label: add, value: 0.04440} + value: 1.71572 + - errors: + - {label: unc, value: 0.04326} + - {label: add, value: 0.04463} + value: 1.22972 + - errors: + - {label: unc, value: 0.03198} + - {label: add, value: 0.04454} + value: 0.86701 + - errors: + - {label: unc, value: 0.02746} + - {label: add, value: 0.04526} + value: 0.63477 + - errors: + - {label: unc, value: 0.03581} + - {label: add, value: 0.04028} + value: 0.64203 + - errors: + - {label: unc, value: 0.02534} + - {label: add, value: 0.04182} + value: 0.50812 + - errors: + - {label: unc, value: 0.02047} + - {label: add, value: 0.04573} + value: 0.36368 + - errors: + - {label: unc, value: 0.01615} + - {label: add, value: 0.05131} + value: 0.24839 + - errors: + - {label: unc, value: 0.01662} + - {label: add, value: 0.06064} + value: 0.23481 + - errors: + - {label: unc, value: 0.01324} + - {label: add, value: 0.06644} + value: 0.16485 + - errors: + - {label: unc, value: 0.01158} + - {label: add, value: 0.09305} + value: 0.11718 + - errors: + - {label: unc, value: 0.00796} + - {label: add, value: 0.13973} + value: 0.0659 + - errors: + - {label: unc, value: 0.03729} + - {label: add, value: 0.03756} + value: 1.2187 + - errors: + - {label: unc, value: 0.02714} + - {label: add, value: 0.03827} + value: 0.8849 + - errors: + - {label: unc, value: 0.02062} + - {label: add, value: 0.03937} + value: 0.6486 + - errors: + - {label: unc, value: 0.01626} + - {label: add, value: 0.04089} + value: 0.48502 + - errors: + - {label: unc, value: 0.01299} + - {label: add, value: 0.04390} + value: 0.3566 + - errors: + - {label: unc, value: 0.01077} + - {label: add, value: 0.04866} + value: 0.26553 + - errors: + - {label: unc, value: 0.00915} + - {label: add, value: 0.05371} + value: 0.20315 + - errors: + - {label: unc, value: 0.00778} + - {label: add, value: 0.06373} + value: 0.14675 + - errors: + - {label: unc, value: 0.00746} + - {label: add, value: 0.07817} + value: 0.11697 + - errors: + - {label: unc, value: 0.00723} + - {label: add, value: 0.13271} + value: 0.07101 + - errors: + - {label: unc, value: 0.07236} + - {label: add, value: 0.03778} + value: 2.47873 + - errors: + - {label: unc, value: 0.04941} + - {label: add, value: 0.03789} + value: 1.70123 + - errors: + - {label: unc, value: 0.03558} + - {label: add, value: 0.03818} + value: 1.20698 + - errors: + - {label: unc, value: 0.02600} + - {label: add, value: 0.03866} + value: 0.86231 + - errors: + - {label: unc, value: 0.01949} + - {label: add, value: 0.03949} + value: 0.62543 + - errors: + - {label: unc, value: 0.01511} + - {label: add, value: 0.04054} + value: 0.46586 + - errors: + - {label: unc, value: 0.01200} + - {label: add, value: 0.04295} + value: 0.34235 + - errors: + - {label: unc, value: 0.01033} + - {label: add, value: 0.04680} + value: 0.2646 + - errors: + - {label: unc, value: 0.00895} + - {label: add, value: 0.05187} + value: 0.20051 + - errors: + - {label: unc, value: 0.00762} + - {label: add, value: 0.06032} + value: 0.14124 + - errors: + - {label: unc, value: 0.00781} + - {label: add, value: 0.07768} + value: 0.11009 + - errors: + - {label: unc, value: 0.07627} + - {label: add, value: 0.03998} + value: 2.45514 + - errors: + - {label: unc, value: 0.05405} + - {label: add, value: 0.04030} + value: 1.70024 + - errors: + - {label: unc, value: 0.03839} + - {label: add, value: 0.04057} + value: 1.17436 + - errors: + - {label: unc, value: 0.02877} + - {label: add, value: 0.04075} + value: 0.83031 + - errors: + - {label: unc, value: 0.02509} + - {label: add, value: 0.04102} + value: 0.62625 + - errors: + - {label: unc, value: 0.01588} + - {label: add, value: 0.04891} + value: 0.27936 + - errors: + - {label: unc, value: 0.01151} + - {label: add, value: 0.05282} + value: 0.20918 + - errors: + - {label: unc, value: 0.00976} + - {label: add, value: 0.06318} + value: 0.15903 + - errors: + - {label: unc, value: 0.00888} + - {label: add, value: 0.08514} + value: 0.11538 + - errors: + - {label: unc, value: 0.00770} + - {label: add, value: 0.12257} + value: 0.07832 + - errors: + - {label: unc, value: 0.01685} + - {label: add, value: 0.03934} + value: 0.47305 + - errors: + - {label: unc, value: 0.01311} + - {label: add, value: 0.04225} + value: 0.35766 + - errors: + - {label: unc, value: 0.01087} + - {label: add, value: 0.04638} + value: 0.2701 + - errors: + - {label: unc, value: 0.00882} + - {label: add, value: 0.05048} + value: 0.19967 + - errors: + - {label: unc, value: 0.00757} + - {label: add, value: 0.05850} + value: 0.14866 + - errors: + - {label: unc, value: 0.00700} + - {label: add, value: 0.07756} + value: 0.10769 + - errors: + - {label: unc, value: 0.00676} + - {label: add, value: 0.12060} + value: 0.07237 + - errors: + - {label: unc, value: 0.03668} + - {label: add, value: 0.03629} + value: 1.16584 + - errors: + - {label: unc, value: 0.02576} + - {label: add, value: 0.03669} + value: 0.84852 + - errors: + - {label: unc, value: 0.01946} + - {label: add, value: 0.03735} + value: 0.62987 + - errors: + - {label: unc, value: 0.01523} + - {label: add, value: 0.03815} + value: 0.47141 + - errors: + - {label: unc, value: 0.01148} + - {label: add, value: 0.03966} + value: 0.33323 + - errors: + - {label: unc, value: 0.00976} + - {label: add, value: 0.04250} + value: 0.26031 + - errors: + - {label: unc, value: 0.00793} + - {label: add, value: 0.04546} + value: 0.19412 + - errors: + - {label: unc, value: 0.00642} + - {label: add, value: 0.05087} + value: 0.13949 + - errors: + - {label: unc, value: 0.00573} + - {label: add, value: 0.06257} + value: 0.1037 + - errors: + - {label: unc, value: 0.00544} + - {label: add, value: 0.10319} + value: 0.06706 + - errors: + - {label: unc, value: 0.07206} + - {label: add, value: 0.03651} + value: 2.42359 + - errors: + - {label: unc, value: 0.04791} + - {label: add, value: 0.03634} + value: 1.65468 + - errors: + - {label: unc, value: 0.03516} + - {label: add, value: 0.03653} + value: 1.18746 + - errors: + - {label: unc, value: 0.02548} + - {label: add, value: 0.03687} + value: 0.82909 + - errors: + - {label: unc, value: 0.01909} + - {label: add, value: 0.03729} + value: 0.59468 + - errors: + - {label: unc, value: 0.01453} + - {label: add, value: 0.03794} + value: 0.42788 + - errors: + - {label: unc, value: 0.01172} + - {label: add, value: 0.03880} + value: 0.31715 + - errors: + - {label: unc, value: 0.00998} + - {label: add, value: 0.04004} + value: 0.24175 + - errors: + - {label: unc, value: 0.00885} + - {label: add, value: 0.04202} + value: 0.18505 + - errors: + - {label: unc, value: 0.00839} + - {label: add, value: 0.04569} + value: 0.14498 + - errors: + - {label: unc, value: 0.00747} + - {label: add, value: 0.05550} + value: 0.09239 + - errors: + - {label: unc, value: 0.08008} + - {label: add, value: 0.03876} + value: 2.48637 + - errors: + - {label: unc, value: 0.05439} + - {label: add, value: 0.03909} + value: 1.59874 + - errors: + - {label: unc, value: 0.04164} + - {label: add, value: 0.03937} + value: 1.15681 + - errors: + - {label: unc, value: 0.03271} + - {label: add, value: 0.03951} + value: 0.8082 + - errors: + - {label: unc, value: 0.02974} + - {label: add, value: 0.03953} + value: 0.56422 + - errors: + - {label: unc, value: 0.01420} + - {label: add, value: 0.04387} + value: 0.24475 + - errors: + - {label: unc, value: 0.00998} + - {label: add, value: 0.04805} + value: 0.19561 + - errors: + - {label: unc, value: 0.00780} + - {label: add, value: 0.05620} + value: 0.14548 + - errors: + - {label: unc, value: 0.00741} + - {label: add, value: 0.07081} + value: 0.12032 + - errors: + - {label: unc, value: 0.00664} + - {label: add, value: 0.11243} + value: 0.07578 + - errors: + - {label: unc, value: 0.01752} + - {label: add, value: 0.03788} + value: 0.43607 + - errors: + - {label: unc, value: 0.01242} + - {label: add, value: 0.03893} + value: 0.31933 + - errors: + - {label: unc, value: 0.01021} + - {label: add, value: 0.04160} + value: 0.2448 + - errors: + - {label: unc, value: 0.00888} + - {label: add, value: 0.04404} + value: 0.1978 + - errors: + - {label: unc, value: 0.00743} + - {label: add, value: 0.04980} + value: 0.14585 + - errors: + - {label: unc, value: 0.00648} + - {label: add, value: 0.05611} + value: 0.11306 + - errors: + - {label: unc, value: 0.00526} + - {label: add, value: 0.08938} + value: 0.07089 + - errors: + - {label: unc, value: 0.03975} + - {label: add, value: 0.03566} + value: 1.14708 + - errors: + - {label: unc, value: 0.02668} + - {label: add, value: 0.03623} + value: 0.81846 + - errors: + - {label: unc, value: 0.01955} + - {label: add, value: 0.03652} + value: 0.59207 + - errors: + - {label: unc, value: 0.01552} + - {label: add, value: 0.03704} + value: 0.44468 + - errors: + - {label: unc, value: 0.01178} + - {label: add, value: 0.03793} + value: 0.31174 + - errors: + - {label: unc, value: 0.00965} + - {label: add, value: 0.03959} + value: 0.23602 + - errors: + - {label: unc, value: 0.00818} + - {label: add, value: 0.04146} + value: 0.18409 + - errors: + - {label: unc, value: 0.00659} + - {label: add, value: 0.04383} + value: 0.13342 + - errors: + - {label: unc, value: 0.00571} + - {label: add, value: 0.05113} + value: 0.10091 + - errors: + - {label: unc, value: 0.00421} + - {label: add, value: 0.07473} + value: 0.06316 + - errors: + - {label: unc, value: 0.07667} + - {label: add, value: 0.03624} + value: 2.42131 + - errors: + - {label: unc, value: 0.05056} + - {label: add, value: 0.03615} + value: 1.66954 + - errors: + - {label: unc, value: 0.03647} + - {label: add, value: 0.03634} + value: 1.15769 + - errors: + - {label: unc, value: 0.02696} + - {label: add, value: 0.03670} + value: 0.81021 + - errors: + - {label: unc, value: 0.02008} + - {label: add, value: 0.03702} + value: 0.56463 + - errors: + - {label: unc, value: 0.01614} + - {label: add, value: 0.03744} + value: 0.42142 + - errors: + - {label: unc, value: 0.01285} + - {label: add, value: 0.03819} + value: 0.29683 + - errors: + - {label: unc, value: 0.01057} + - {label: add, value: 0.03879} + value: 0.20807 + - errors: + - {label: unc, value: 0.01012} + - {label: add, value: 0.04003} + value: 0.16666 + - errors: + - {label: unc, value: 0.00917} + - {label: add, value: 0.04198} + value: 0.12045 + - errors: + - {label: unc, value: 0.01037} + - {label: add, value: 0.04459} + value: 0.10442 + - errors: + - {label: unc, value: 0.08779} + - {label: add, value: 0.03792} + value: 2.49209 + - errors: + - {label: unc, value: 0.06513} + - {label: add, value: 0.03814} + value: 1.70525 + - errors: + - {label: unc, value: 0.04723} + - {label: add, value: 0.03846} + value: 1.11791 + - errors: + - {label: unc, value: 0.03801} + - {label: add, value: 0.03870} + value: 0.7502 + - errors: + - {label: unc, value: 0.04048} + - {label: add, value: 0.03990} + value: 0.57502 + - errors: + - {label: unc, value: 0.00924} + - {label: add, value: 0.04137} + value: 0.19125 + - errors: + - {label: unc, value: 0.00714} + - {label: add, value: 0.04616} + value: 0.1475 + - errors: + - {label: unc, value: 0.00560} + - {label: add, value: 0.05559} + value: 0.1052 + - errors: + - {label: unc, value: 0.00507} + - {label: add, value: 0.08398} + value: 0.07526 + - errors: + - {label: unc, value: 0.01686} + - {label: add, value: 0.03633} + value: 0.42868 + - errors: + - {label: unc, value: 0.01236} + - {label: add, value: 0.03725} + value: 0.32902 + - errors: + - {label: unc, value: 0.00926} + - {label: add, value: 0.03892} + value: 0.22814 + - errors: + - {label: unc, value: 0.00833} + - {label: 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{value: 3.30743} + - {value: 3.30743} + - {value: 3.30743} + - {value: 3.30743} + - {value: 3.30743} + - {value: 3.30743} diff --git a/data/COMPASS_HA_PLUS_2024.yaml b/data/COMPASS_HA_PLUS_2024.yaml new file mode 100644 index 000000000..c73e68a16 --- /dev/null +++ b/data/COMPASS_HA_PLUS_2024.yaml @@ -0,0 +1,2440 @@ +dependent_variables: +- header: {title: "COMPASS 2024 $h^+$ Multiplicities"} + qualifiers: + - {name: process, value: SIDIS} + - {name: observable, value: dsigma/dxdydz} + - {name: target_isoscalarity, value: 1.0} + - {name: prefactor, value: 1} + - {name: Vs, value: 17.34 , units: GeV} + - {name: Q, low: 1, high: 7.745966692414834, integrate: true} + - {name: x, low: 0.004, high: 0.4, integrate: true} + - {name: z, low: 0.2, high: 0.85, integrate: true} + - {name: PS_reduction, W: 5, ymin: 0.1, ymax: 0.7} + - {name: hadron, value: HA} + - {name: charge, value: 1} + values: + - errors: + - {label: unc, value: 0.08948} + - {label: add, value: 0.04008} + value: 2.8375 + - 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x, low: 0.004, high: 0.4, integrate: true} + - {name: z, low: 0.2, high: 0.85, integrate: true} + - {name: PS_reduction, W: 5, ymin: 0.1, ymax: 0.7} + - {name: hadron, value: KA} + - {name: charge, value: -1} + values: + - errors: + - {label: unc, value: 0.01470} + - {label: add, value: 0.04683} + value: 0.32837 + - errors: + - {label: unc, value: 0.01152} + - {label: add, value: 0.04661} + value: 0.24748 + - errors: + - {label: unc, value: 0.00898} + - {label: add, value: 0.04681} + value: 0.17844 + - errors: + - {label: unc, value: 0.00763} + - {label: add, value: 0.04766} + value: 0.13949 + - errors: + - {label: unc, value: 0.00615} + - {label: add, value: 0.05105} + value: 0.10077 + - errors: + - {label: unc, value: 0.00553} + - {label: add, value: 0.05510} + value: 0.08276 + - errors: + - {label: unc, value: 0.00513} + - {label: add, value: 0.05970} + value: 0.0595 + - errors: + - {label: unc, value: 0.00521} + - {label: add, value: 0.07156} + value: 0.0417 + - errors: + - {label: unc, value: 0.01480} + - {label: add, value: 0.05000} + value: 0.3504 + - errors: + - {label: unc, value: 0.01146} + - {label: add, value: 0.05019} + value: 0.2592 + - errors: + - {label: unc, value: 0.00909} + - {label: add, value: 0.05077} + value: 0.19366 + - errors: + - {label: unc, value: 0.00800} + - {label: add, value: 0.05078} + value: 0.14936 + - errors: + - {label: unc, value: 0.00966} + - {label: add, value: 0.05422} + value: 0.13442 + - errors: + - {label: unc, value: 0.01213} + - {label: add, value: 0.04822} + value: 0.09208 + - errors: + - {label: unc, value: 0.00705} + - {label: add, value: 0.05474} + value: 0.06182 + - errors: + - {label: unc, value: 0.00629} + - {label: add, value: 0.05856} + value: 0.05137 + - errors: + - {label: unc, value: 0.00549} + - {label: add, value: 0.07859} + value: 0.03746 + - errors: + - {label: unc, value: 0.00436} + - {label: add, value: 0.06407} + value: 0.02697 + - errors: + - {label: unc, value: 0.00430} + - {label: add, value: 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unc, value: 0.00146} + - {label: add, value: 0.04719} + value: 0.01763 + - errors: + - {label: unc, value: 0.00090} + - {label: add, value: 0.04749} + value: 0.01196 + - errors: + - {label: unc, value: 0.01273} + - {label: add, value: 0.04468} + value: 0.32965 + - errors: + - {label: unc, value: 0.00876} + - {label: add, value: 0.04461} + value: 0.23562 + - errors: + - {label: unc, value: 0.00697} + - {label: add, value: 0.04477} + value: 0.18281 + - errors: + - {label: unc, value: 0.00551} + - {label: add, value: 0.04516} + value: 0.1387 + - errors: + - {label: unc, value: 0.00449} + - {label: add, value: 0.04720} + value: 0.10577 + - errors: + - {label: unc, value: 0.00347} + - {label: add, value: 0.04864} + value: 0.07599 + - errors: + - {label: unc, value: 0.00295} + - {label: add, value: 0.05227} + value: 0.05755 + - errors: + - {label: unc, value: 0.00271} + - {label: add, value: 0.05911} + value: 0.04534 + - errors: + - {label: unc, value: 0.00241} + - {label: add, value: 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unc, value: 0.00216} + - {label: add, value: 0.04632} + value: 0.01468 + - errors: + - {label: unc, value: 0.00114} + - {label: add, value: 0.04747} + value: 0.00792 + - errors: + - {label: unc, value: 0.00421} + - {label: add, value: 0.04820} + value: 0.0649 + - errors: + - {label: unc, value: 0.00311} + - {label: add, value: 0.05397} + value: 0.04906 + - errors: + - {label: unc, value: 0.00239} + - {label: add, value: 0.06143} + value: 0.03308 + - errors: + - {label: unc, value: 0.00221} + - {label: add, value: 0.05419} + value: 0.03041 + - errors: + - {label: unc, value: 0.00175} + - {label: add, value: 0.04551} + value: 0.02127 + - errors: + - {label: unc, value: 0.00133} + - {label: add, value: 0.04695} + value: 0.01329 + - errors: + - {label: unc, value: 0.00085} + - {label: add, value: 0.04513} + value: 0.00975 + - errors: + - {label: unc, value: 0.00878} + - {label: add, value: 0.04315} + value: 0.16278 + - errors: + - {label: unc, value: 0.00595} + - {label: add, value: 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value: SIDIS} + - {name: observable, value: dsigma/dxdydz} + - {name: target_isoscalarity, value: 1.0} + - {name: prefactor, value: 1} + - {name: Vs, value: 17.34 , units: GeV} + - {name: Q, low: 1, high: 7.745966692414834, integrate: true} + - {name: x, low: 0.004, high: 0.4, integrate: true} + - {name: z, low: 0.2, high: 0.85, integrate: true} + - {name: PS_reduction, W: 5, ymin: 0.1, ymax: 0.7} + - {name: hadron, value: KA} + - {name: charge, value: 1} + values: + - errors: + - {label: unc, value: 0.01746} + - {label: add, value: 0.04647} + value: 0.40681 + - errors: + - {label: unc, value: 0.01347} + - {label: add, value: 0.04614} + value: 0.30444 + - errors: + - {label: unc, value: 0.01186} + - {label: add, value: 0.04617} + value: 0.25644 + - errors: + - {label: unc, value: 0.00907} + - {label: add, value: 0.04679} + value: 0.1797 + - errors: + - {label: unc, value: 0.00793} + - {label: add, value: 0.04902} + value: 0.14638 + - errors: + - {label: unc, value: 0.00756} + - {label: add, value: 0.05051} + value: 0.12972 + - errors: + - {label: unc, value: 0.00718} + - {label: add, value: 0.05516} + value: 0.09905 + - errors: + - {label: unc, value: 0.00714} + - {label: add, value: 0.05812} + value: 0.06813 + - errors: + - {label: unc, value: 0.01690} + - {label: add, value: 0.04971} + value: 0.40813 + - errors: + - {label: unc, value: 0.01351} + - {label: add, value: 0.04995} + value: 0.31487 + - errors: + - {label: unc, value: 0.01065} + - {label: add, value: 0.05029} + value: 0.23656 + - errors: + - {label: unc, value: 0.00969} + - {label: add, value: 0.05023} + value: 0.19177 + - errors: + - {label: unc, value: 0.01078} + - {label: add, value: 0.05167} + value: 0.16225 + - errors: + - {label: unc, value: 0.01408} + - {label: add, value: 0.04691} + value: 0.12739 + - errors: + - {label: unc, value: 0.00972} + - {label: add, value: 0.04942} + value: 0.10409 + - errors: + - {label: unc, value: 0.00824} + - {label: add, value: 0.04987} + value: 0.0786 + - errors: + - {label: unc, value: 0.00837} + - {label: add, value: 0.05700} + value: 0.07902 + - errors: + - {label: unc, value: 0.00683} + - {label: add, value: 0.05495} + value: 0.05591 + - errors: + - {label: unc, value: 0.00660} + - {label: add, value: 0.04552} + value: 0.05114 + - errors: + - {label: unc, value: 0.00559} + - {label: add, value: 0.04502} + value: 0.03643 + - errors: + - {label: unc, value: 0.00332} + - {label: add, value: 0.04535} + value: 0.0254 + - errors: + - {label: unc, value: 0.00966} + - {label: add, value: 0.04357} + value: 0.22403 + - errors: + - {label: unc, value: 0.00722} + - {label: add, value: 0.04415} + value: 0.17485 + - errors: + - {label: unc, value: 0.00611} + - {label: add, value: 0.04572} + value: 0.14366 + - errors: + - {label: unc, value: 0.00505} + - {label: add, value: 0.04730} + value: 0.11113 + - errors: + - {label: unc, value: 0.00421} + - {label: add, value: 0.04944} + value: 0.08609 + - errors: + - {label: unc, value: 0.00387} + - {label: add, value: 0.05439} + value: 0.07237 + - errors: + - {label: unc, value: 0.00306} + - {label: add, value: 0.05111} + value: 0.05541 + - errors: + - {label: unc, value: 0.00256} + - {label: add, value: 0.04595} + value: 0.04353 + - errors: + - {label: unc, value: 0.00243} + - {label: add, value: 0.04750} + value: 0.0384 + - errors: + - {label: unc, value: 0.00167} + - {label: add, value: 0.04878} + value: 0.02903 + - errors: + - {label: unc, value: 0.01535} + - {label: add, value: 0.04431} + value: 0.41054 + - errors: + - {label: unc, value: 0.01153} + - {label: add, value: 0.04419} + value: 0.3208 + - errors: + - {label: unc, value: 0.00900} + - {label: add, value: 0.04424} + value: 0.24504 + - errors: + - {label: unc, value: 0.00733} + - {label: add, value: 0.04452} + value: 0.19405 + - errors: + - {label: unc, value: 0.00566} + - {label: add, value: 0.04566} + value: 0.14226 + - errors: + - {label: unc, value: 0.00513} + - {label: add, value: 0.04730} + value: 0.12228 + - errors: + - 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new file mode 100644 index 000000000..23667588f --- /dev/null +++ b/data/COMPASS_PI_MINUS_2024.yaml @@ -0,0 +1,2440 @@ +dependent_variables: +- header: {title: "COMPASS 2024 $\pi^-$ Multiplicities"} + qualifiers: + - {name: process, value: SIDIS} + - {name: observable, value: dsigma/dxdydz} + - {name: target_isoscalarity, value: 1.0} + - {name: prefactor, value: 1} + - {name: Vs, value: 17.34 , units: GeV} + - {name: Q, low: 1, high: 7.745966692414834, integrate: true} + - {name: x, low: 0.004, high: 0.4, integrate: true} + - {name: z, low: 0.2, high: 0.85, integrate: true} + - {name: PS_reduction, W: 5, ymin: 0.1, ymax: 0.7} + - {name: hadron, value: PI} + - {name: charge, value: -1} + values: + - errors: + - {label: unc, value: 0.07343} + - {label: add, value: 0.04645} + value: 2.0092 + - errors: + - {label: unc, value: 0.05046} + - {label: add, value: 0.04656} + value: 1.35606 + - errors: + - {label: unc, value: 0.03666} + - {label: add, value: 0.04710} + value: 0.95146 + - errors: 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value: 1} + values: + - errors: + - {label: unc, value: 0.07824} + - {label: add, value: 0.04636} + value: 2.15047 + - errors: + - {label: unc, value: 0.05490} + - {label: add, value: 0.04644} + value: 1.48649 + - errors: + - {label: unc, value: 0.03995} + - {label: add, value: 0.04681} + value: 1.0496 + - errors: + - {label: unc, value: 0.02936} + - {label: add, value: 0.04732} + value: 0.74042 + - errors: + - {label: unc, value: 0.02318} + - {label: add, value: 0.04810} + value: 0.55972 + - errors: + - {label: unc, value: 0.01747} + - {label: add, value: 0.04940} + value: 0.393 + - errors: + - {label: unc, value: 0.01601} + - {label: add, value: 0.05246} + value: 0.31077 + - errors: + - {label: unc, value: 0.01578} + - {label: add, value: 0.06231} + value: 0.23096 + - errors: + - {label: unc, value: 0.08068} + - {label: add, value: 0.04967} + value: 2.11931 + - errors: + - {label: unc, value: 0.05608} + - {label: add, value: 0.04993} + value: 1.45023 + - errors: + - {label: unc, 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filter_TASSO14_HA(): nameexp = 'TASSO_14_HA_PLUS_MINUS' @@ -1122,6 +1120,128 @@ def filter_COMPASS_HA_MINUS(): print(' - {value: %7.5f}' % (data.iloc[i,6]) , file=f) +# COMPASS - SIDIS, h+ 2024 +def filter_COMPASS_HA_PLUS_2024(): + nameexp = 'COMPASS_HA_PLUS_2024' + infile = 'COMPASS_2024/Table_HA.csv' + ndata = 302 + cme = 17.34 #GeV + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=1, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "COMPASS 2024 $h^+$ Multiplicities"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIDIS}', file=f) + print(' - {name: observable, value: dsigma/dxdydz}', file=f) + print(' - {name: target_isoscalarity, value: 1.0}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: Q, low: 1, high: 7.745966692414834, integrate: true}', file=f) + print(' - {name: x, low: 0.004, high: 0.4, integrate: true}', file=f) + print(' - {name: z, low: 0.2, high: 0.85, integrate: true}', file=f) + print(' - {name: PS_reduction, W: 5, ymin: 0.1, ymax: 0.7}', file=f) + print(' - {name: hadron, value: HA}', file=f) + print(' - {name: charge, value: 1}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,7]**2+(0.6*data.iloc[i,8])**2)), file=f) + print(' - {label: add, value: %7.5f}' % (0.8*data.iloc[i,8]/data.iloc[i,6]), file=f) + print(' value: ', data.iloc[i,6], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,5], data.iloc[i,4], ((data.iloc[i,5]-data.iloc[i,4])/2.)), file=f) + print('- header: {name: "x"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,1], data.iloc[i,0], ((data.iloc[i,1]-data.iloc[i,0])/2.)) , file=f) + print('- header: {name: "y"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,3], data.iloc[i,2], ((data.iloc[i,3]-data.iloc[i,2])/2.)) , file=f) + print('- header: {name: "Q2"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {value: %7.5f}' + % ((data.iloc[i,1]-data.iloc[i,0])/2.*(data.iloc[i,3]-data.iloc[i,2])/2.*cme**2.) , file=f) + +# COMPASS - SIDIS, h- 2024 +def filter_COMPASS_HA_MINUS_2024(): + nameexp = 'COMPASS_HA_MINUS_2024' + infile = 'COMPASS_2024/Table_HA.csv' + ndata = 302 + cme = 17.34 #GeV + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=1, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "COMPASS 2024 $h^-$ Multiplicities"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIDIS}', file=f) + print(' - {name: observable, value: dsigma/dxdydz}', file=f) + print(' - {name: target_isoscalarity, value: 1.0}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: Q, low: 1, high: 7.745966692414834, integrate: true}', file=f) + print(' - {name: x, low: 0.004, high: 0.4, integrate: true}', file=f) + print(' - {name: z, low: 0.2, high: 0.85, integrate: true}', file=f) + print(' - {name: PS_reduction, W: 5, ymin: 0.1, ymax: 0.7}', file=f) + print(' - {name: hadron, value: HA}', file=f) + print(' - {name: charge, value: -1}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,10]**2+(0.6*data.iloc[i,11])**2)), file=f) + print(' - {label: add, value: %7.5f}' % (0.8*data.iloc[i,11]/data.iloc[i,9]), file=f) + print(' value: ', data.iloc[i,9], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,5], data.iloc[i,4], ((data.iloc[i,5]-data.iloc[i,4])/2.)), file=f) + print('- header: {name: "x"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,1], data.iloc[i,0], ((data.iloc[i,1]-data.iloc[i,0])/2.)) , file=f) + print('- header: {name: "y"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,3], data.iloc[i,2], ((data.iloc[i,3]-data.iloc[i,2])/2.)) , file=f) + print('- header: {name: "Q2"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {value: %7.5f}' + % ((data.iloc[i,1]-data.iloc[i,0])/2.*(data.iloc[i,3]-data.iloc[i,2])/2.*cme**2.) , file=f) + # Filter data filter_TASSO14_HA() filter_TASSO22_HA() @@ -1144,3 +1264,5 @@ def filter_COMPASS_HA_MINUS(): filter_SLD_HA_B() filter_COMPASS_HA_PLUS() filter_COMPASS_HA_MINUS() +filter_COMPASS_HA_PLUS_2024() +filter_COMPASS_HA_MINUS_2024() diff --git a/data/rawdata/kaon/COMPASS_2024/Table_KA.csv b/data/rawdata/kaon/COMPASS_2024/Table_KA.csv new file mode 100644 index 000000000..9324ece4b --- /dev/null +++ b/data/rawdata/kaon/COMPASS_2024/Table_KA.csv @@ -0,0 +1,299 @@ +x_min,x_max,y_min,y_max,z_min,z_max,m_pos,unc_pos_stat,unc_pos_syst,m_neg,unc_neg_stat,unc_neg_syst,VM_pos,VM_neg,VM_incl,RC_pos,RC_neg +0.004,0.01,0.3,0.5,0.2,0.25,0.40681,0.01019,0.02363,0.32837,0.00911,0.01922,0.99967,0.99966,0.94677,1.11718,1.12204 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a/data/rawdata/kaon/filter.py +++ b/data/rawdata/kaon/filter.py @@ -1229,6 +1229,128 @@ def filter_COMPASS_KA_MINUS(): print(' - {value: %7.5f}' % (data.iloc[i,6]) , file=f) +# COMPASS - SIDIS, KA+ 2024 +def filter_COMPASS_KA_PLUS_2024(): + nameexp = 'COMPASS_KA_PLUS_2024' + infile = 'COMPASS_2024/Table_KA.csv' + ndata = 298 + cme = 17.34 #GeV + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=1, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "COMPASS 2024 $K^+$ Multiplicities"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIDIS}', file=f) + print(' - {name: observable, value: dsigma/dxdydz}', file=f) + print(' - {name: target_isoscalarity, value: 1.0}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: Q, low: 1, high: 7.745966692414834, integrate: true}', file=f) + print(' - {name: x, low: 0.004, high: 0.4, integrate: true}', file=f) + print(' - {name: z, low: 0.2, high: 0.85, integrate: true}', file=f) + print(' - {name: PS_reduction, W: 5, ymin: 0.1, ymax: 0.7}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: 1}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,7]**2+(0.6*data.iloc[i,8])**2)), file=f) + print(' - {label: add, value: %7.5f}' % (0.8*data.iloc[i,8]/data.iloc[i,6]), file=f) + print(' value: ', data.iloc[i,6], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,5], data.iloc[i,4], ((data.iloc[i,5]-data.iloc[i,4])/2.)), file=f) + print('- header: {name: "x"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,1], data.iloc[i,0], ((data.iloc[i,1]-data.iloc[i,0])/2.)) , file=f) + print('- header: {name: "y"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,3], data.iloc[i,2], ((data.iloc[i,3]-data.iloc[i,2])/2.)) , file=f) + print('- header: {name: "Q2"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {value: %7.5f}' + % ((data.iloc[i,1]-data.iloc[i,0])/2.*(data.iloc[i,3]-data.iloc[i,2])/2.*cme**2.) , file=f) + +# COMPASS - SIDIS, K- 2024 +def filter_COMPASS_KA_MINUS_2024(): + nameexp = 'COMPASS_KA_MINUS_2024' + infile = 'COMPASS_2024/Table_KA.csv' + ndata = 298 + cme = 17.34 #GeV + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=1, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "COMPASS 2024 $K^-$ Multiplicities"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIDIS}', file=f) + print(' - {name: observable, value: dsigma/dxdydz}', file=f) + print(' - {name: target_isoscalarity, value: 1.0}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: Q, low: 1, high: 7.745966692414834, integrate: true}', file=f) + print(' - {name: x, low: 0.004, high: 0.4, integrate: true}', file=f) + print(' - {name: z, low: 0.2, high: 0.85, integrate: true}', file=f) + print(' - {name: PS_reduction, W: 5, ymin: 0.1, ymax: 0.7}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: -1}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,10]**2+(0.6*data.iloc[i,11])**2)), file=f) + print(' - {label: add, value: %7.5f}' % (0.8*data.iloc[i,11]/data.iloc[i,9]), file=f) + print(' value: ', data.iloc[i,9], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,5], data.iloc[i,4], ((data.iloc[i,5]-data.iloc[i,4])/2.)), file=f) + print('- header: {name: "x"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,1], data.iloc[i,0], ((data.iloc[i,1]-data.iloc[i,0])/2.)) , file=f) + print('- header: {name: "y"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,3], data.iloc[i,2], ((data.iloc[i,3]-data.iloc[i,2])/2.)) , file=f) + print('- header: {name: "Q2"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {value: %7.5f}' + % ((data.iloc[i,1]-data.iloc[i,0])/2.*(data.iloc[i,3]-data.iloc[i,2])/2.*cme**2.) , file=f) + # Filter data filter_BELLE_KA() filter_BABAR_KA_CONVENTIONAL() @@ -1252,3 +1374,5 @@ def filter_COMPASS_KA_MINUS(): filter_SLD_KA_B() filter_COMPASS_KA_PLUS() filter_COMPASS_KA_MINUS() +filter_COMPASS_KA_PLUS_2024() +filter_COMPASS_KA_MINUS_2024() diff --git a/data/rawdata/pion/COMPASS_2024/Table_PI.csv b/data/rawdata/pion/COMPASS_2024/Table_PI.csv new file mode 100644 index 000000000..d9b624aaf --- /dev/null +++ b/data/rawdata/pion/COMPASS_2024/Table_PI.csv @@ -0,0 +1,303 @@ +x_min,x_max,y_min,y_max,z_min,z_max,m_pos,unc_pos_stat,unc_pos_syst,m_neg,unc_neg_stat,unc_neg_syst,VM_pos,VM_neg,VM_incl,RC_pos,RC_neg +0.004,0.01,0.3,0.5,0.2,0.25,2.15047,0.02301,0.12463,2.0092,0.0222,0.11665,0.97258,0.97222,0.94677,1.12278,1.12404 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+0.18,0.4,0.5,0.7,0.2,0.25,2.65275,0.37562,0.1427,1.69715,0.28016,0.08951,0.99933,0.99911,0.99868,1.02065,1.02824 +0.18,0.4,0.5,0.7,0.25,0.3,1.25274,0.23798,0.065,0.52257,0.15072,0.02701,0.99908,0.99879,0.99868,1.02671,1.03255 +0.18,0.4,0.5,0.7,0.3,0.35,0.99734,0.21694,0.05146,0.64876,0.17569,0.03398,0.99877,0.99817,0.99868,1.03316,1.03724 +0.18,0.4,0.5,0.7,0.35,0.4,0.82175,0.21874,0.05534,0.4817,0.16086,0.0281,0.9984,0.99788,0.99862,1.0349,1.03803 +0.18,0.4,0.5,0.7,0.4,0.45,0.35595,0.1489,0.02066,0.50252,0.18945,0.02612,0.99799,0.99658,0.99857,1.02299,1.02518 diff --git a/data/rawdata/pion/filter.py b/data/rawdata/pion/filter.py index 86696cf88..c8ce1675f 100644 --- a/data/rawdata/pion/filter.py +++ b/data/rawdata/pion/filter.py @@ -1229,6 +1229,128 @@ def filter_COMPASS_PI_MINUS(): print(' - {value: %7.5f}' % (data.iloc[i,6]) , file=f) +# COMPASS - SIDIS, PI+ 2024 +def filter_COMPASS_PI_PLUS_2024(): + nameexp = 'COMPASS_PI_PLUS_2024' + infile = 'COMPASS_2024/Table_PI.csv' + ndata = 302 + cme = 17.34 #GeV + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=1, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "COMPASS 2024 $\pi^+$ Multiplicities"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIDIS}', file=f) + print(' - {name: observable, value: dsigma/dxdydz}', file=f) + print(' - {name: target_isoscalarity, value: 1.0}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: Q, low: 1, high: 7.745966692414834, integrate: true}', file=f) + print(' - {name: x, low: 0.004, high: 0.4, integrate: true}', file=f) + print(' - {name: z, low: 0.2, high: 0.85, integrate: true}', file=f) + print(' - {name: PS_reduction, W: 5, ymin: 0.1, ymax: 0.7}', file=f) + print(' - {name: hadron, value: PI}', file=f) + print(' - {name: charge, value: 1}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,7]**2+(0.6*data.iloc[i,8])**2)), file=f) + print(' - {label: add, value: %7.5f}' % (0.8*data.iloc[i,8]/data.iloc[i,6]), file=f) + print(' value: ', data.iloc[i,6], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,5], data.iloc[i,4], ((data.iloc[i,5]-data.iloc[i,4])/2.)), file=f) + print('- header: {name: "x"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,1], data.iloc[i,0], ((data.iloc[i,1]-data.iloc[i,0])/2.)) , file=f) + print('- header: {name: "y"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,3], data.iloc[i,2], ((data.iloc[i,3]-data.iloc[i,2])/2.)) , file=f) + print('- header: {name: "Q2"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {value: %7.5f}' + % ((data.iloc[i,1]-data.iloc[i,0])/2.*(data.iloc[i,3]-data.iloc[i,2])/2.*cme**2.) , file=f) + +# COMPASS - SIDIS, PI- 2024 +def filter_COMPASS_PI_MINUS_2024(): + nameexp = 'COMPASS_PI_MINUS_2024' + infile = 'COMPASS_2024/Table_PI.csv' + ndata = 302 + cme = 17.34 #GeV + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=1, + sep=',', + header=None, + usecols=[0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16], + engine='python') + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "COMPASS 2024 $\pi^-$ Multiplicities"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIDIS}', file=f) + print(' - {name: observable, value: dsigma/dxdydz}', file=f) + print(' - {name: target_isoscalarity, value: 1.0}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: Q, low: 1, high: 7.745966692414834, integrate: true}', file=f) + print(' - {name: x, low: 0.004, high: 0.4, integrate: true}', file=f) + print(' - {name: z, low: 0.2, high: 0.85, integrate: true}', file=f) + print(' - {name: PS_reduction, W: 5, ymin: 0.1, ymax: 0.7}', file=f) + print(' - {name: hadron, value: PI}', file=f) + print(' - {name: charge, value: -1}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,10]**2+(0.6*data.iloc[i,11])**2)), file=f) + print(' - {label: add, value: %7.5f}' % (0.8*data.iloc[i,11]/data.iloc[i,9]), file=f) + print(' value: ', data.iloc[i,9], file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,5], data.iloc[i,4], ((data.iloc[i,5]-data.iloc[i,4])/2.)), file=f) + print('- header: {name: "x"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,1], data.iloc[i,0], ((data.iloc[i,1]-data.iloc[i,0])/2.)) , file=f) + print('- header: {name: "y"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,3], data.iloc[i,2], ((data.iloc[i,3]-data.iloc[i,2])/2.)) , file=f) + print('- header: {name: "Q2"}', file=f) + print(' values:', file=f) + for i in range(ndata): + print(' - {value: %7.5f}' + % ((data.iloc[i,1]-data.iloc[i,0])/2.*(data.iloc[i,3]-data.iloc[i,2])/2.*cme**2.) , file=f) + # Filter data #filter_BELLE_KA() #filter_BABAR_KA_CONVENTIONAL() @@ -1250,5 +1372,7 @@ def filter_COMPASS_PI_MINUS(): #filter_SLD_KA_UDS() #filter_SLD_KA_C() #filter_SLD_KA_B() -filter_COMPASS_PI_PLUS() -filter_COMPASS_PI_MINUS() +#filter_COMPASS_PI_PLUS() +#filter_COMPASS_PI_MINUS() +filter_COMPASS_PI_PLUS_2024() +filter_COMPASS_PI_MINUS_2024() From 7dd0d4f0918dd952029f26ec43bdc8996125e3ed Mon Sep 17 00:00:00 2001 From: enocera Date: Thu, 5 Jun 2025 14:18:52 +0200 Subject: [PATCH 18/29] FIxed wrong input tables for DELPHI in pion, kaon, and proton data sets --- data/DELPHI_PR_PLUS_MINUS.yaml | 120 +++++++++--------- data/DELPHI_PR_PLUS_MINUS_B.yaml | 120 +++++++++--------- data/DELPHI_PR_PLUS_MINUS_UDS.yaml | 120 +++++++++--------- .../DELPHI/HEPData-ins473409-v1-Table_13.csv | 37 ------ .../DELPHI/HEPData-ins473409-v1-Table_20.csv | 37 ++++++ .../DELPHI/HEPData-ins473409-v1-Table_28.csv | 37 ++++++ .../DELPHI/HEPData-ins473409-v1-Table_36.csv | 37 ++++++ .../DELPHI/HEPData-ins473409-v1-Table_5.csv | 37 ------ .../DELPHI/HEPData-ins473409-v1-Table_9.csv | 37 ------ data/rawdata/kaon/filter.py | 6 +- .../DELPHI/HEPData-ins473409-v1-Table_13.csv | 37 ------ .../DELPHI/HEPData-ins473409-v1-Table_18.csv | 37 ++++++ .../DELPHI/HEPData-ins473409-v1-Table_26.csv | 37 ++++++ .../DELPHI/HEPData-ins473409-v1-Table_34.csv | 37 ++++++ .../DELPHI/HEPData-ins473409-v1-Table_5.csv | 37 ------ .../DELPHI/HEPData-ins473409-v1-Table_9.csv | 37 ------ data/rawdata/pion/filter.py | 6 +- .../DELPHI/HEPData-ins473409-v1-Table_10.csv | 37 ------ .../DELPHI/HEPData-ins473409-v1-Table_14.csv | 37 ------ .../DELPHI/HEPData-ins473409-v1-Table_22.csv | 37 ++++++ .../DELPHI/HEPData-ins473409-v1-Table_30.csv | 37 ++++++ .../DELPHI/HEPData-ins473409-v1-Table_38.csv | 37 ++++++ .../DELPHI/HEPData-ins473409-v1-Table_6.csv | 37 ------ data/rawdata/proton/filter.py | 6 +- 24 files changed, 522 insertions(+), 522 deletions(-) delete mode 100644 data/rawdata/kaon/DELPHI/HEPData-ins473409-v1-Table_13.csv create mode 100644 data/rawdata/kaon/DELPHI/HEPData-ins473409-v1-Table_20.csv create mode 100644 data/rawdata/kaon/DELPHI/HEPData-ins473409-v1-Table_28.csv create mode 100644 data/rawdata/kaon/DELPHI/HEPData-ins473409-v1-Table_36.csv delete mode 100644 data/rawdata/kaon/DELPHI/HEPData-ins473409-v1-Table_5.csv delete mode 100644 data/rawdata/kaon/DELPHI/HEPData-ins473409-v1-Table_9.csv delete mode 100644 data/rawdata/pion/DELPHI/HEPData-ins473409-v1-Table_13.csv create mode 100644 data/rawdata/pion/DELPHI/HEPData-ins473409-v1-Table_18.csv create mode 100644 data/rawdata/pion/DELPHI/HEPData-ins473409-v1-Table_26.csv create mode 100644 data/rawdata/pion/DELPHI/HEPData-ins473409-v1-Table_34.csv delete mode 100644 data/rawdata/pion/DELPHI/HEPData-ins473409-v1-Table_5.csv delete mode 100644 data/rawdata/pion/DELPHI/HEPData-ins473409-v1-Table_9.csv delete mode 100644 data/rawdata/proton/DELPHI/HEPData-ins473409-v1-Table_10.csv delete mode 100644 data/rawdata/proton/DELPHI/HEPData-ins473409-v1-Table_14.csv create mode 100644 data/rawdata/proton/DELPHI/HEPData-ins473409-v1-Table_22.csv create mode 100644 data/rawdata/proton/DELPHI/HEPData-ins473409-v1-Table_30.csv create mode 100644 data/rawdata/proton/DELPHI/HEPData-ins473409-v1-Table_38.csv delete mode 100644 data/rawdata/proton/DELPHI/HEPData-ins473409-v1-Table_6.csv diff --git a/data/DELPHI_PR_PLUS_MINUS.yaml b/data/DELPHI_PR_PLUS_MINUS.yaml index 76be3a429..cfa2646f0 100644 --- a/data/DELPHI_PR_PLUS_MINUS.yaml +++ b/data/DELPHI_PR_PLUS_MINUS.yaml @@ -9,74 +9,74 @@ dependent_variables: - {name: charge, value: 0} values: - errors: - - {label: unc, value: 1.30817} - value: 4.11 + - {label: unc, value: 0.07376} + value: 0.32 - errors: - - {label: unc, value: 1.20934} - value: 4.85 + - {label: unc, value: 0.05597} + value: 0.308 - errors: - - {label: unc, value: 1.21754} - value: 4.71 + - {label: unc, value: 0.04830} + value: 0.249 - errors: - - {label: unc, value: 1.03586} - value: 5.97 + - {label: unc, value: 0.03662} + value: 0.263 - errors: - - {label: unc, value: 1.05551} - value: 6.61 + - {label: unc, value: 0.03089} + value: 0.249 - errors: - - {label: unc, value: 1.03392} - value: 7.68 + - {label: unc, value: 0.02419} + value: 0.232 - errors: - - {label: unc, value: 1.08931} - value: 6.73 + - {label: unc, value: 0.01857} + value: 0.1566 - errors: - - {label: unc, value: 0.94763} - value: 6.46 + - {label: unc, value: 0.01276} + value: 0.1198 - errors: - - {label: unc, value: 0.91967} - value: 6.83 + - {label: unc, value: 0.01035} + value: 0.1028 - errors: - - {label: unc, value: 1.23069} - value: 7.46 + - {label: unc, value: 0.01138} + value: 0.0934 - errors: - - {label: unc, value: 1.32276} - value: 7.23 + - {label: unc, value: 0.01031} + value: 0.0758 - errors: - - {label: unc, value: 1.12486} - value: 8.37 + - {label: unc, value: 0.00713} + value: 0.0695 - errors: - - {label: unc, value: 1.62856} - value: 9.4 + - {label: unc, value: 0.00778} + value: 0.0579 - errors: - - {label: unc, value: 2.08655} - value: 9.7 + - {label: unc, value: 0.00822} + value: 0.0457 - errors: - - {label: unc, value: 2.83425} - value: 10.37 + - {label: unc, value: 0.00905} + value: 0.0382 - errors: - - {label: unc, value: 2.43023} - value: 10.3 + - {label: unc, value: 0.00597} + value: 0.0299 - errors: - - {label: unc, value: 1.52840} - value: 10.12 + - {label: unc, value: 0.00233} + value: 0.0193 - errors: - - {label: unc, value: 1.68440} - value: 10.75 + - {label: unc, value: 0.00159} + value: 0.01246 - errors: - - {label: unc, value: 1.40858} - value: 9.71 + - {label: unc, value: 0.00074} + value: 0.00616 - errors: - - {label: unc, value: 2.30625} - value: 9.54 + - {label: unc, value: 0.00049} + value: 0.0026 - errors: - - {label: unc, value: 2.82604} - value: 8.72 + - {label: unc, value: 0.00027} + value: 0.00106 - errors: - - {label: unc, value: 4.16941} - value: 7.0 + - {label: unc, value: 0.00014} + value: 0.000269 - errors: - - {label: unc, value: 8.44877} - value: 8.68 + - {label: unc, value: 0.00007} + value: 4.6e-05 independent_variables: - header: {name: "z"} values: @@ -96,13 +96,13 @@ independent_variables: - {high: 0.16137, low: 0.14122, value: 0.15130, factor: 0.02173} - {high: 0.18136, low: 0.16104, value: 0.17120, factor: 0.02177} - {high: 0.20117, low: 0.18110, value: 0.19113, factor: 0.02180} - - {high: 0.26091, low: 0.20080, value: 0.23085, factor: 0.02184} - - {high: 0.30081, low: 0.26057, value: 0.28069, factor: 0.02187} - - {high: 0.40069, low: 0.30052, value: 0.35060, factor: 0.02189} - - {high: 0.50052, low: 0.40042, value: 0.45047, factor: 0.02191} - - {high: 0.60042, low: 0.50035, value: 0.55038, factor: 0.02191} - - {high: 0.80013, low: 0.60026, value: 0.70019, factor: 0.02192} - - {high: 0.98710, low: 0.79999, value: 0.89355, factor: 0.02192} + - {high: 0.26200, low: 0.20080, value: 0.23140, factor: 0.02184} + - {high: 0.30124, low: 0.26167, value: 0.28145, factor: 0.02187} + - {high: 0.39981, low: 0.30096, value: 0.35039, factor: 0.02189} + - {high: 0.50052, low: 0.39954, value: 0.45003, factor: 0.02191} + - {high: 0.60130, low: 0.50035, value: 0.55082, factor: 0.02191} + - {high: 0.80078, low: 0.60114, value: 0.70096, factor: 0.02192} + - {high: 1.00026, low: 0.80065, value: 0.90045, factor: 0.02192} - header: {name: "ph"} values: - {high: 0.91000, low: 0.70000, value: 0.80500} @@ -121,10 +121,10 @@ independent_variables: - {high: 7.29000, low: 6.38000, value: 6.83500} - {high: 8.21000, low: 7.29000, value: 7.75000} - {high: 9.12000, low: 8.21000, value: 8.66500} - - {high: 11.85000, low: 9.12000, value: 10.48500} - - {high: 13.68000, low: 11.85000, value: 12.76500} - - {high: 18.24000, low: 13.68000, value: 15.96000} - - {high: 22.80000, low: 18.24000, value: 20.52000} - - {high: 27.36000, low: 22.80000, value: 25.08000} - - {high: 36.47000, low: 27.36000, value: 31.91500} - - {high: 45.00000, low: 36.47000, value: 40.73500} + - {high: 11.90000, low: 9.12000, value: 10.51000} + - {high: 13.70000, low: 11.90000, value: 12.80000} + - {high: 18.20000, low: 13.70000, value: 15.95000} + - {high: 22.80000, low: 18.20000, value: 20.50000} + - {high: 27.40000, low: 22.80000, value: 25.10000} + - {high: 36.50000, low: 27.40000, value: 31.95000} + - {high: 45.60000, low: 36.50000, value: 41.05000} diff --git a/data/DELPHI_PR_PLUS_MINUS_B.yaml b/data/DELPHI_PR_PLUS_MINUS_B.yaml index 73f4ce43d..465ccb4b9 100644 --- a/data/DELPHI_PR_PLUS_MINUS_B.yaml +++ b/data/DELPHI_PR_PLUS_MINUS_B.yaml @@ -10,74 +10,74 @@ dependent_variables: - {name: tagging, value: [b]} values: - errors: - - {label: unc, value: 1.14630} - value: 3.65 + - {label: unc, value: 0.08341} + value: 0.303 - errors: - - {label: unc, value: 1.05759} - value: 4.2 + - {label: unc, value: 0.07286} + value: 0.305 - errors: - - {label: unc, value: 1.34015} - value: 3.99 + - {label: unc, value: 0.08382} + value: 0.331 - errors: - - {label: unc, value: 1.10145} - value: 4.94 + - {label: unc, value: 0.07209} + value: 0.266 - errors: - - {label: unc, value: 1.03730} - value: 5.36 + - {label: unc, value: 0.05644} + value: 0.257 - errors: - - {label: unc, value: 1.09403} - value: 6.0 + - {label: unc, value: 0.05161} + value: 0.284 - errors: - - {label: unc, value: 1.10454} - value: 5.06 + - {label: unc, value: 0.03607} + value: 0.176 - errors: - - {label: unc, value: 0.82037} - value: 4.78 + - {label: unc, value: 0.02126} + value: 0.117 - errors: - - {label: unc, value: 0.87784} - value: 4.96 + - {label: unc, value: 0.01942} + value: 0.093 - errors: - - {label: unc, value: 1.03479} - value: 5.54 + - {label: unc, value: 0.01860} + value: 0.092 - errors: - - {label: unc, value: 1.31795} - value: 5.6 + - {label: unc, value: 0.01942} + value: 0.072 - errors: - - {label: unc, value: 1.13600} - value: 7.11 + - {label: unc, value: 0.01281} + value: 0.079 - errors: - - {label: unc, value: 2.07851} - value: 9.16 + - {label: unc, value: 0.01562} + value: 0.075 - errors: - - {label: unc, value: 3.32415} - value: 10.34 + - {label: unc, value: 0.02025} + value: 0.06 - errors: - - {label: unc, value: 5.67215} - value: 11.5 + - {label: unc, value: 0.02377} + value: 0.044 - errors: - - {label: unc, value: 3.73909} - value: 11.38 + - {label: unc, value: 0.01208} + value: 0.034 - errors: - - {label: unc, value: 2.06206} - value: 10.88 + - {label: unc, value: 0.00358} + value: 0.0173 - errors: - - {label: unc, value: 1.76173} - value: 10.43 + - {label: unc, value: 0.00201} + value: 0.0089 - errors: - - {label: unc, value: 1.31765} - value: 7.87 + - {label: unc, value: 0.00080} + value: 0.00371 - errors: - - {label: unc, value: 1.61978} - value: 5.71 + - {label: unc, value: 0.00037} + value: 0.00102 - errors: - - {label: unc, value: 2.35053} - value: 4.72 + - {label: unc, value: 0.00020} + value: 0.00027 - errors: - - {label: unc, value: 6.44736} - value: 4.08 + - {label: unc, value: 0.00011} + value: 8.3e-05 - errors: - - {label: unc, value: 177.82095} - value: 29.72 + - {label: unc, value: 0.00002} + value: 4.5e-06 independent_variables: - header: {name: "z"} values: @@ -97,13 +97,13 @@ independent_variables: - {high: 0.16137, low: 0.14122, value: 0.15130, factor: 0.02173} - {high: 0.18136, low: 0.16104, value: 0.17120, factor: 0.02177} - {high: 0.20117, low: 0.18110, value: 0.19113, factor: 0.02180} - - {high: 0.26091, low: 0.20080, value: 0.23085, factor: 0.02184} - - {high: 0.30081, low: 0.26057, value: 0.28069, factor: 0.02187} - - {high: 0.40069, low: 0.30052, value: 0.35060, factor: 0.02189} - - {high: 0.50052, low: 0.40042, value: 0.45047, factor: 0.02191} - - {high: 0.60042, low: 0.50035, value: 0.55038, factor: 0.02191} - - {high: 0.80013, low: 0.60026, value: 0.70019, factor: 0.02192} - - {high: 0.98710, low: 0.79999, value: 0.89355, factor: 0.02192} + - {high: 0.26200, low: 0.20080, value: 0.23140, factor: 0.02184} + - {high: 0.30124, low: 0.26167, value: 0.28145, factor: 0.02187} + - {high: 0.39981, low: 0.30096, value: 0.35039, factor: 0.02189} + - {high: 0.50052, low: 0.39954, value: 0.45003, factor: 0.02191} + - {high: 0.60130, low: 0.50035, value: 0.55082, factor: 0.02191} + - {high: 0.80078, low: 0.60114, value: 0.70096, factor: 0.02192} + - {high: 1.00026, low: 0.80065, value: 0.90045, factor: 0.02192} - header: {name: "ph"} values: - {high: 0.91000, low: 0.70000, value: 0.80500} @@ -122,10 +122,10 @@ independent_variables: - {high: 7.29000, low: 6.38000, value: 6.83500} - {high: 8.21000, low: 7.29000, value: 7.75000} - {high: 9.12000, low: 8.21000, value: 8.66500} - - {high: 11.85000, low: 9.12000, value: 10.48500} - - {high: 13.68000, low: 11.85000, value: 12.76500} - - {high: 18.24000, low: 13.68000, value: 15.96000} - - {high: 22.80000, low: 18.24000, value: 20.52000} - - {high: 27.36000, low: 22.80000, value: 25.08000} - - {high: 36.47000, low: 27.36000, value: 31.91500} - - {high: 45.00000, low: 36.47000, value: 40.73500} + - {high: 11.90000, low: 9.12000, value: 10.51000} + - {high: 13.70000, low: 11.90000, value: 12.80000} + - {high: 18.20000, low: 13.70000, value: 15.95000} + - {high: 22.80000, low: 18.20000, value: 20.50000} + - {high: 27.40000, low: 22.80000, value: 25.10000} + - {high: 36.50000, low: 27.40000, value: 31.95000} + - {high: 45.60000, low: 36.50000, value: 41.05000} diff --git a/data/DELPHI_PR_PLUS_MINUS_UDS.yaml b/data/DELPHI_PR_PLUS_MINUS_UDS.yaml index 14b46709d..1bd01f586 100644 --- a/data/DELPHI_PR_PLUS_MINUS_UDS.yaml +++ b/data/DELPHI_PR_PLUS_MINUS_UDS.yaml @@ -10,74 +10,74 @@ dependent_variables: - {name: tagging, value: [u,d,s]} values: - errors: - - {label: unc, value: 1.48499} - value: 4.3 + - {label: unc, value: 0.08006} + value: 0.354 - errors: - - {label: unc, value: 1.45726} - value: 5.1 + - {label: unc, value: 0.06227} + value: 0.317 - errors: - - {label: unc, value: 1.40264} - value: 5.02 + - {label: unc, value: 0.04950} + value: 0.219 - errors: - - {label: unc, value: 1.13851} - value: 6.4 + - {label: unc, value: 0.03466} + value: 0.251 - errors: - - {label: unc, value: 1.28222} - value: 7.13 + - {label: unc, value: 0.03081} + value: 0.243 - errors: - - {label: unc, value: 1.16276} - value: 8.4 + - {label: unc, value: 0.02267} + value: 0.208 - errors: - - {label: unc, value: 1.25208} - value: 7.45 + - {label: unc, value: 0.01666} + value: 0.1451 - errors: - - {label: unc, value: 1.11018} - value: 7.17 + - {label: unc, value: 0.01149} + value: 0.12 - errors: - - {label: unc, value: 1.06832} - value: 7.62 + - {label: unc, value: 0.00930} + value: 0.1043 - errors: - - {label: unc, value: 1.42172} - value: 8.31 + - {label: unc, value: 0.01016} + value: 0.0914 - errors: - - {label: unc, value: 1.60590} - value: 7.99 + - {label: unc, value: 0.00975} + value: 0.0762 - errors: - - {label: unc, value: 1.21083} - value: 9.11 + - {label: unc, value: 0.00632} + value: 0.0655 - errors: - - {label: unc, value: 1.89180} - value: 9.91 + - {label: unc, value: 0.00776} + value: 0.0552 - errors: - - {label: unc, value: 2.41812} - value: 10.0 + - {label: unc, value: 0.00853} + value: 0.0419 - errors: - - {label: unc, value: 2.93518} - value: 10.55 + - {label: unc, value: 0.00892} + value: 0.0345 - errors: - - {label: unc, value: 2.63822} - value: 10.41 + - {label: unc, value: 0.00614} + value: 0.0277 - errors: - - {label: unc, value: 1.59289} - value: 10.22 + - {label: unc, value: 0.00230} + value: 0.0204 - errors: - - {label: unc, value: 1.89021} - value: 10.84 + - {label: unc, value: 0.00172} + value: 0.0132 - errors: - - {label: unc, value: 1.54383} - value: 9.74 + - {label: unc, value: 0.00081} + value: 0.00681 - errors: - - {label: unc, value: 2.32142} - value: 9.7 + - {label: unc, value: 0.00053} + value: 0.00315 - errors: - - {label: unc, value: 2.65424} - value: 8.74 + - {label: unc, value: 0.00032} + value: 0.00143 - errors: - - {label: unc, value: 3.42231} - value: 6.76 + - {label: unc, value: 0.00016} + value: 0.00027 - errors: - - {label: unc, value: 7.26670} - value: 8.17 + - {label: unc, value: 0.00029} + value: 7e-05 independent_variables: - header: {name: "z"} values: @@ -97,13 +97,13 @@ independent_variables: - {high: 0.16137, low: 0.14122, value: 0.15130, factor: 0.02173} - {high: 0.18136, low: 0.16104, value: 0.17120, factor: 0.02177} - {high: 0.20117, low: 0.18110, value: 0.19113, factor: 0.02180} - - {high: 0.26091, low: 0.20080, value: 0.23085, factor: 0.02184} - - {high: 0.30081, low: 0.26057, value: 0.28069, factor: 0.02187} - - {high: 0.40069, low: 0.30052, value: 0.35060, factor: 0.02189} - - {high: 0.50052, low: 0.40042, value: 0.45047, factor: 0.02191} - - {high: 0.60042, low: 0.50035, value: 0.55038, factor: 0.02191} - - {high: 0.80013, low: 0.60026, value: 0.70019, factor: 0.02192} - - {high: 0.98710, low: 0.79999, value: 0.89355, factor: 0.02192} + - {high: 0.26200, low: 0.20080, value: 0.23140, factor: 0.02184} + - {high: 0.30124, low: 0.26167, value: 0.28145, factor: 0.02187} + - {high: 0.39981, low: 0.30096, value: 0.35039, factor: 0.02189} + - {high: 0.50052, low: 0.39954, value: 0.45003, factor: 0.02191} + - {high: 0.60130, low: 0.50035, value: 0.55082, factor: 0.02191} + - {high: 0.80078, low: 0.60114, value: 0.70096, factor: 0.02192} + - {high: 1.00026, low: 0.80065, value: 0.90045, factor: 0.02192} - header: {name: "ph"} values: - {high: 0.91000, low: 0.70000, value: 0.80500} @@ -122,10 +122,10 @@ independent_variables: - {high: 7.29000, low: 6.38000, value: 6.83500} - {high: 8.21000, low: 7.29000, value: 7.75000} - {high: 9.12000, low: 8.21000, value: 8.66500} - - {high: 11.85000, low: 9.12000, value: 10.48500} - - {high: 13.68000, low: 11.85000, value: 12.76500} - - {high: 18.24000, low: 13.68000, value: 15.96000} - - {high: 22.80000, low: 18.24000, value: 20.52000} - - {high: 27.36000, low: 22.80000, value: 25.08000} - - {high: 36.47000, low: 27.36000, value: 31.91500} - - {high: 45.00000, low: 36.47000, value: 40.73500} + - {high: 11.90000, low: 9.12000, value: 10.51000} + - {high: 13.70000, low: 11.90000, value: 12.80000} + - {high: 18.20000, low: 13.70000, value: 15.95000} + - {high: 22.80000, low: 18.20000, value: 20.50000} + - {high: 27.40000, low: 22.80000, value: 25.10000} + - {high: 36.50000, low: 27.40000, value: 31.95000} + - {high: 45.60000, low: 36.50000, value: 41.05000} diff --git a/data/rawdata/kaon/DELPHI/HEPData-ins473409-v1-Table_13.csv b/data/rawdata/kaon/DELPHI/HEPData-ins473409-v1-Table_13.csv deleted file mode 100644 index 075650bb5..000000000 --- a/data/rawdata/kaon/DELPHI/HEPData-ins473409-v1-Table_13.csv +++ /dev/null @@ -1,37 +0,0 @@ -#: table_doi: 10.17182/hepdata.49385.v1/t13 -#: name: Table 13 -#: description: Normalised K+- production rates in Z0-->(U-UBAR,D-DBAR,S-SBAR) events. - -#: data_file: Table13.yaml -#: keyword reactions: E+ E- --> K- X | E+ E- --> K+ X | E+ E- --> Z0 -#: keyword observables: DN/DP -#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering | Strange production -#: keyword cmenergies: 91.2 -#: RE,,,E+ E- --> (K+ + K-) X -#: RE(Q=TOT),,,E+ E- --> CHARGED X -#: SQRT(S) [GeV],,,91.2,,,, -P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,(D(N)/DP)/(D(N(Q=TOT))/DP) [PCT],stat +,stat -,sys +,sys - -0.8049999999999999,0.7,0.91,7.34,1.03,-1.03,0.95,-0.95 -1.025,0.91,1.14,8.78,1.18,-1.18,1.13,-1.13 -1.255,1.14,1.37,8.98,1.27,-1.27,1.22,-1.22 -1.485,1.37,1.6,10.27,1.05,-1.05,0.93,-0.93 -1.71,1.6,1.82,10.52,1.61,-1.61,1.48,-1.48 -2.05,1.82,2.28,11.43,2.06,-2.06,1.98,-1.98 -2.51,2.28,2.74,11.72,2.77,-2.77,2.69,-2.69 -2.965,2.74,3.19,11.99,0.86,-0.86,0.76,-0.76 -3.42,3.19,3.65,12.65,1.07,-1.07,1.01,-1.01 -3.875,3.65,4.1,13.57,0.9,-0.9,0.82,-0.82 -4.33,4.1,4.56,14.45,1.09,-1.09,1.0,-1.0 -5.015,4.56,5.47,14.91,1.0,-1.0,0.92,-0.92 -5.925,5.47,6.38,15.59,0.97,-0.97,0.76,-0.76 -6.835,6.38,7.29,16.52,1.86,-1.86,1.53,-1.53 -7.75,7.29,8.21,17.01,2.53,-2.53,2.0,-2.0 -8.665,8.21,9.12,18.86,2.84,-2.84,2.65,-2.65 -10.485,9.12,11.85,20.33,0.75,-0.75,0.68,-0.68 -12.765,11.85,13.68,23.14,1.21,-1.21,1.09,-1.09 -15.959999999999999,13.68,18.24,25.6,1.66,-1.66,1.58,-1.58 -20.52,18.24,22.8,28.87,2.79,-2.79,2.62,-2.62 -25.08,22.8,27.36,30.59,3.82,-3.82,3.34,-3.34 -31.915,27.36,36.47,34.77,6.8,-6.8,5.79,-5.79 -40.735,36.47,45.0,27.88,24.47,-24.47,18.19,-18.19 - diff --git a/data/rawdata/kaon/DELPHI/HEPData-ins473409-v1-Table_20.csv b/data/rawdata/kaon/DELPHI/HEPData-ins473409-v1-Table_20.csv new file mode 100644 index 000000000..2664ab4c9 --- /dev/null +++ b/data/rawdata/kaon/DELPHI/HEPData-ins473409-v1-Table_20.csv @@ -0,0 +1,37 @@ +#: table_doi: 10.17182/hepdata.49385.v1/t20 +#: name: Table 20 +#: description: Differential cross section for K+- in Z0-->Q-QBAR events. + +#: data_file: Table20.yaml +#: keyword reactions: E+ E- --> K- X | E+ E- --> K+ X | E+ E- --> Z0 +#: keyword observables: DN/DP +#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering | Strange production +#: keyword cmenergies: 91.2 +#: RE,,,E+ E- --> (K+ + K-) X +#: RE(Q=HAD),,,E+ E- --> HADRONS X +#: SQRT(S) [GeV],,,91.2,,,, +P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,(1/N(C=HAD))*D(N)/DP,stat +,stat -,sys +,sys - +0.8049999999999999,0.7,0.91,0.558,0.031,-0.031,0.077,-0.077 +1.025,0.91,1.14,0.546,0.021,-0.021,0.073,-0.073 +1.255,1.14,1.37,0.466,0.018,-0.018,0.066,-0.066 +1.485,1.37,1.6,0.45,0.02,-0.02,0.04,-0.04 +1.71,1.6,1.82,0.4,0.022,-0.022,0.056,-0.056 +2.05,1.82,2.28,0.357,0.016,-0.016,0.061,-0.061 +2.51,2.28,2.74,0.292,0.015,-0.015,0.063,-0.063 +2.965,2.74,3.19,0.2455,0.008,-0.008,0.0154,-0.0154 +3.42,3.19,3.65,0.2157,0.0061,-0.0061,0.0154,-0.0154 +3.875,3.65,4.1,0.1953,0.0054,-0.0054,0.012,-0.012 +4.33,4.1,4.56,0.1754,0.0052,-0.0052,0.0121,-0.0121 +5.015,4.56,5.47,0.1443,0.0035,-0.0035,0.0097,-0.0097 +5.925,5.47,6.38,0.1123,0.004,-0.004,0.006,-0.006 +6.835,6.38,7.29,0.0906,0.0052,-0.0052,0.0083,-0.0083 +7.75,7.29,8.21,0.072,0.006,-0.006,0.009,-0.009 +8.665,8.21,9.12,0.0624,0.0033,-0.0033,0.0086,-0.0086 +10.51,9.12,11.9,0.04344,0.00082,-0.00082,0.00204,-0.00204 +12.8,11.9,13.7,0.02917,0.00073,-0.00073,0.00155,-0.00155 +15.95,13.7,18.2,0.01699,0.00044,-0.00044,0.00115,-0.00115 +20.5,18.2,22.8,0.00791,0.00033,-0.00033,0.00079,-0.00079 +25.1,22.8,27.4,0.00364,0.00025,-0.00025,0.00036,-0.00036 +31.95,27.4,36.5,0.0013,0.00017,-0.00017,0.00027,-0.00027 +41.05,36.5,45.6,0.000147,8.2e-05,-8.2e-05,0.000108,-0.000108 + diff --git a/data/rawdata/kaon/DELPHI/HEPData-ins473409-v1-Table_28.csv b/data/rawdata/kaon/DELPHI/HEPData-ins473409-v1-Table_28.csv new file mode 100644 index 000000000..97e6689ca --- /dev/null +++ b/data/rawdata/kaon/DELPHI/HEPData-ins473409-v1-Table_28.csv @@ -0,0 +1,37 @@ +#: table_doi: 10.17182/hepdata.49385.v1/t28 +#: name: Table 28 +#: description: Differential cross section for K+- in Z0-->B-BBAR events. + +#: data_file: Table28.yaml +#: keyword reactions: E+ E- --> K- X | E+ E- --> K+ X | E+ E- --> Z0 +#: keyword observables: DN/DP +#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering | Strange production +#: keyword cmenergies: 91.2 +#: RE,,,E+ E- --> (K+ + K-) X +#: RE(Q=HAD),,,E+ E- --> HADRONS X +#: SQRT(S) [GeV],,,91.2,,,, +P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,(1/N(C=HAD))*D(N)/DP,stat +,stat -,sys +,sys - +0.8049999999999999,0.7,0.91,0.667,0.09,-0.09,0.084,-0.084 +1.025,0.91,1.14,0.612,0.064,-0.064,0.083,-0.083 +1.255,1.14,1.37,0.523,0.06,-0.06,0.08,-0.08 +1.485,1.37,1.6,0.585,0.051,-0.051,0.05,-0.05 +1.71,1.6,1.82,0.483,0.061,-0.061,0.075,-0.075 +2.05,1.82,2.28,0.494,0.025,-0.025,0.076,-0.076 +2.51,2.28,2.74,0.398,0.016,-0.016,0.078,-0.078 +2.965,2.74,3.19,0.335,0.018,-0.018,0.02,-0.02 +3.42,3.19,3.65,0.3225,0.0096,-0.0096,0.0203,-0.0203 +3.875,3.65,4.1,0.2845,0.0055,-0.0055,0.0211,-0.0211 +4.33,4.1,4.56,0.249,0.01,-0.01,0.015,-0.015 +5.015,4.56,5.47,0.2022,0.0061,-0.0061,0.0106,-0.0106 +5.925,5.47,6.38,0.1526,0.007,-0.007,0.0101,-0.0101 +6.835,6.38,7.29,0.109,0.011,-0.011,0.01,-0.01 +7.75,7.29,8.21,0.083,0.011,-0.011,0.012,-0.012 +8.665,8.21,9.12,0.0625,0.005,-0.005,0.0087,-0.0087 +10.51,9.12,11.9,0.0379,0.0013,-0.0013,0.0017,-0.0017 +12.8,11.9,13.7,0.0199,0.0011,-0.0011,0.0011,-0.0011 +15.95,13.7,18.2,0.00868,0.00068,-0.00068,0.00059,-0.00059 +20.5,18.2,22.8,0.00231,0.00041,-0.00041,0.00027,-0.00027 +25.1,22.8,27.4,0.00062,0.00023,-0.00023,6e-05,-6e-05 +31.95,27.4,36.5,2.4e-05,6.2e-05,-6.2e-05,5e-06,-5e-06 +41.05,36.5,45.6,7e-07,3.6e-06,-3.6e-06,9e-07,-9e-07 + diff --git a/data/rawdata/kaon/DELPHI/HEPData-ins473409-v1-Table_36.csv b/data/rawdata/kaon/DELPHI/HEPData-ins473409-v1-Table_36.csv new file mode 100644 index 000000000..6519e8ca7 --- /dev/null +++ b/data/rawdata/kaon/DELPHI/HEPData-ins473409-v1-Table_36.csv @@ -0,0 +1,37 @@ +#: table_doi: 10.17182/hepdata.49385.v1/t36 +#: name: Table 36 +#: description: Differential cross section for K+- in Z0-->(U-UBAR,D-DBAR,S-SBAR) events. + +#: data_file: Table36.yaml +#: keyword reactions: E+ E- --> K- X | E+ E- --> K+ X | E+ E- --> Z0 +#: keyword observables: DN/DP +#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering | Strange production +#: keyword cmenergies: 91.2 +#: RE,,,E+ E- --> (K+ + K-) X +#: RE(Q=HAD),,,E+ E- --> HADRONS X +#: SQRT(S) [GeV],,,91.2,,,, +P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,(1/N(C=HAD))*D(N)/DP,stat +,stat -,sys +,sys - +0.8049999999999999,0.7,0.91,0.527,0.047,-0.047,0.061,-0.061 +1.025,0.91,1.14,0.524,0.037,-0.037,0.058,-0.058 +1.255,1.14,1.37,0.447,0.033,-0.033,0.052,-0.052 +1.485,1.37,1.6,0.398,0.031,-0.031,0.031,-0.031 +1.71,1.6,1.82,0.374,0.036,-0.036,0.045,-0.045 +2.05,1.82,2.28,0.314,0.04,-0.04,0.047,-0.047 +2.51,2.28,2.74,0.253,0.045,-0.045,0.049,-0.049 +2.965,2.74,3.19,0.217,0.014,-0.014,0.012,-0.012 +3.42,3.19,3.65,0.18,0.014,-0.014,0.013,-0.013 +3.875,3.65,4.1,0.16,0.01,-0.01,0.009,-0.009 +4.33,4.1,4.56,0.147,0.01,-0.01,0.009,-0.009 +5.015,4.56,5.47,0.1189,0.0078,-0.0078,0.0068,-0.0068 +5.925,5.47,6.38,0.0901,0.0064,-0.0064,0.0043,-0.0043 +6.835,6.38,7.29,0.0756,0.0088,-0.0088,0.0063,-0.0063 +7.75,7.29,8.21,0.0629,0.0093,-0.0093,0.0065,-0.0065 +8.665,8.21,9.12,0.0561,0.0071,-0.0071,0.0069,-0.0069 +10.51,9.12,11.9,0.0401,0.0015,-0.0015,0.0017,-0.0017 +12.8,11.9,13.7,0.0287,0.0013,-0.0013,0.0015,-0.0015 +15.95,13.7,18.2,0.01838,0.00082,-0.00082,0.00112,-0.00112 +20.5,18.2,22.8,0.00927,0.00055,-0.00055,0.00077,-0.00077 +25.1,22.8,27.4,0.00471,0.00036,-0.00036,0.00047,-0.00047 +31.95,27.4,36.5,0.00211,0.00026,-0.00026,0.00033,-0.00033 +41.05,36.5,45.6,0.00027,0.00012,-0.00012,0.00015,-0.00015 + diff --git a/data/rawdata/kaon/DELPHI/HEPData-ins473409-v1-Table_5.csv b/data/rawdata/kaon/DELPHI/HEPData-ins473409-v1-Table_5.csv deleted file mode 100644 index b544b5108..000000000 --- a/data/rawdata/kaon/DELPHI/HEPData-ins473409-v1-Table_5.csv +++ /dev/null @@ -1,37 +0,0 @@ -#: table_doi: 10.17182/hepdata.49385.v1/t5 -#: name: Table 5 -#: description: Normalised K+- production rates in Z0-->Q-QBAR events. - -#: data_file: Table5.yaml -#: keyword reactions: E+ E- --> K- X | E+ E- --> K+ X | E+ E- --> Z0 -#: keyword observables: DN/DP -#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering | Strange production -#: keyword cmenergies: 91.2 -#: RE,,,E+ E- --> (K+ + K-) X -#: RE(Q=TOT),,,E+ E- --> CHARGED X -#: SQRT(S) [GeV],,,91.2,,,, -P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,(D(N)/DP)/(D(N(Q=TOT))/DP) [PCT],stat +,stat -,sys +,sys - -0.8049999999999999,0.7,0.91,7.17,1.02,-1.02,0.95,-0.95 -1.025,0.91,1.14,8.58,1.18,-1.18,1.14,-1.14 -1.255,1.14,1.37,8.84,1.28,-1.28,1.24,-1.24 -1.485,1.37,1.6,10.21,0.99,-0.99,0.91,-0.91 -1.71,1.6,1.82,10.63,1.58,-1.58,1.49,-1.49 -2.05,1.82,2.28,11.84,2.06,-2.06,2.01,-2.01 -2.51,2.28,2.74,12.55,2.75,-2.75,2.69,-2.69 -2.965,2.74,3.19,13.25,0.89,-0.89,0.8,-0.8 -3.42,3.19,3.65,14.32,1.05,-1.05,0.99,-0.99 -3.875,3.65,4.1,15.59,0.98,-0.98,0.91,-0.91 -4.33,4.1,4.56,16.72,1.17,-1.17,1.09,-1.09 -5.015,4.56,5.47,17.39,1.15,-1.15,1.09,-1.09 -5.925,5.47,6.38,18.23,1.02,-1.02,0.84,-0.84 -6.835,6.38,7.29,19.25,1.94,-1.94,1.67,-1.67 -7.75,7.29,8.21,19.55,2.78,-2.78,2.37,-2.37 -8.665,8.21,9.12,21.47,3.04,-3.04,2.89,-2.89 -10.485,9.12,11.85,22.73,0.76,-0.76,0.69,-0.69 -12.765,11.85,13.68,25.17,1.04,-1.04,0.93,-0.93 -15.959999999999999,13.68,18.24,26.77,1.56,-1.56,1.49,-1.49 -20.52,18.24,22.8,29.04,2.75,-2.75,2.63,-2.63 -25.08,22.8,27.36,29.97,3.03,-3.03,2.62,-2.62 -31.915,27.36,36.47,33.86,6.91,-6.91,6.24,-6.24 -40.735,36.47,45.0,27.78,24.12,-24.12,20.12,-20.12 - diff --git a/data/rawdata/kaon/DELPHI/HEPData-ins473409-v1-Table_9.csv b/data/rawdata/kaon/DELPHI/HEPData-ins473409-v1-Table_9.csv deleted file mode 100644 index 541244c0b..000000000 --- a/data/rawdata/kaon/DELPHI/HEPData-ins473409-v1-Table_9.csv +++ /dev/null @@ -1,37 +0,0 @@ -#: table_doi: 10.17182/hepdata.49385.v1/t9 -#: name: Table 9 -#: description: Normalised K+- production rates in Z0-->B-BBAR events. - -#: data_file: Table9.yaml -#: keyword reactions: E+ E- --> K- X | E+ E- --> K+ X | E+ E- --> Z0 -#: keyword observables: DN/DP -#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering | Strange production -#: keyword cmenergies: 91.2 -#: RE,,,E+ E- --> (K+ + K-) X -#: RE(Q=TOT),,,E+ E- --> CHARGED X -#: SQRT(S) [GeV],,,91.2,,,, -P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,(D(N)/DP)/(D(N(Q=TOT))/DP) [PCT],stat +,stat -,sys +,sys - -0.8049999999999999,0.7,0.91,6.7,1.14,-1.14,0.81,-0.81 -1.025,0.91,1.14,8.05,1.23,-1.23,1.09,-1.09 -1.255,1.14,1.37,8.51,1.45,-1.45,1.3,-1.3 -1.485,1.37,1.6,10.11,1.21,-1.21,0.85,-0.85 -1.71,1.6,1.82,11.03,2.08,-2.08,1.71,-1.71 -2.05,1.82,2.28,12.98,2.32,-2.32,2.0,-2.0 -2.51,2.28,2.74,14.59,3.2,-3.2,2.85,-2.85 -2.965,2.74,3.19,16.08,1.38,-1.38,0.91,-0.91 -3.42,3.19,3.65,17.76,1.45,-1.45,1.08,-1.08 -3.875,3.65,4.1,19.43,1.74,-1.74,1.4,-1.4 -4.33,4.1,4.56,20.67,1.66,-1.66,1.15,-1.15 -5.015,4.56,5.47,21.23,1.47,-1.47,1.03,-1.03 -5.925,5.47,6.38,21.73,2.03,-2.03,1.34,-1.34 -6.835,6.38,7.29,22.19,3.45,-3.45,1.88,-1.88 -7.75,7.29,8.21,21.76,5.01,-5.01,3.04,-3.04 -8.665,8.21,9.12,23.09,3.98,-3.98,3.12,-3.12 -10.485,9.12,11.85,22.77,1.0,-1.0,0.69,-0.69 -12.765,11.85,13.68,22.24,1.32,-1.32,0.86,-0.86 -15.959999999999999,13.68,18.24,19.85,1.36,-1.36,1.03,-1.03 -20.52,18.24,22.8,15.47,1.99,-1.99,1.59,-1.59 -25.08,22.8,27.36,11.5,1.97,-1.97,0.72,-0.72 -31.915,27.36,36.47,9.38,2.93,-2.93,0.83,-0.83 -40.735,36.47,45.0,5.86,9.04,-9.04,6.71,-6.71 - diff --git a/data/rawdata/kaon/filter.py b/data/rawdata/kaon/filter.py index 90f50cfeb..d13fe096b 100644 --- a/data/rawdata/kaon/filter.py +++ b/data/rawdata/kaon/filter.py @@ -676,7 +676,7 @@ def filter_ALEPH_KA(): # DELPHI - inclusive def filter_DELPHI_KA(): nameexp = 'DELPHI_KA_PLUS_MINUS' - infile = 'DELPHI/HEPData-ins473409-v1-Table_5.csv' + infile = 'DELPHI/HEPData-ins473409-v1-Table_20.csv' ndata = 23 cme = 91.20 #GeV zmin = 0.011 @@ -724,7 +724,7 @@ def filter_DELPHI_KA(): # DELPHI - uds tagged def filter_DELPHI_KA_UDS(): nameexp = 'DELPHI_KA_PLUS_MINUS_UDS' - infile = 'DELPHI/HEPData-ins473409-v1-Table_13.csv' + infile = 'DELPHI/HEPData-ins473409-v1-Table_36.csv' ndata = 23 cme = 91.20 #GeV zmin = 0.011 @@ -773,7 +773,7 @@ def filter_DELPHI_KA_UDS(): # DELPHI - b tagged def filter_DELPHI_KA_B(): nameexp = 'DELPHI_KA_PLUS_MINUS_B' - infile = 'DELPHI/HEPData-ins473409-v1-Table_9.csv' + infile = 'DELPHI/HEPData-ins473409-v1-Table_28.csv' ndata = 23 cme = 91.20 #GeV zmin = 0.011 diff --git a/data/rawdata/pion/DELPHI/HEPData-ins473409-v1-Table_13.csv b/data/rawdata/pion/DELPHI/HEPData-ins473409-v1-Table_13.csv deleted file mode 100644 index 075650bb5..000000000 --- a/data/rawdata/pion/DELPHI/HEPData-ins473409-v1-Table_13.csv +++ /dev/null @@ -1,37 +0,0 @@ -#: table_doi: 10.17182/hepdata.49385.v1/t13 -#: name: Table 13 -#: description: Normalised K+- production rates in Z0-->(U-UBAR,D-DBAR,S-SBAR) events. - -#: data_file: Table13.yaml -#: keyword reactions: E+ E- --> K- X | E+ E- --> K+ X | E+ E- --> Z0 -#: keyword observables: DN/DP -#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering | Strange production -#: keyword cmenergies: 91.2 -#: RE,,,E+ E- --> (K+ + K-) X -#: RE(Q=TOT),,,E+ E- --> CHARGED X -#: SQRT(S) [GeV],,,91.2,,,, -P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,(D(N)/DP)/(D(N(Q=TOT))/DP) [PCT],stat +,stat -,sys +,sys - -0.8049999999999999,0.7,0.91,7.34,1.03,-1.03,0.95,-0.95 -1.025,0.91,1.14,8.78,1.18,-1.18,1.13,-1.13 -1.255,1.14,1.37,8.98,1.27,-1.27,1.22,-1.22 -1.485,1.37,1.6,10.27,1.05,-1.05,0.93,-0.93 -1.71,1.6,1.82,10.52,1.61,-1.61,1.48,-1.48 -2.05,1.82,2.28,11.43,2.06,-2.06,1.98,-1.98 -2.51,2.28,2.74,11.72,2.77,-2.77,2.69,-2.69 -2.965,2.74,3.19,11.99,0.86,-0.86,0.76,-0.76 -3.42,3.19,3.65,12.65,1.07,-1.07,1.01,-1.01 -3.875,3.65,4.1,13.57,0.9,-0.9,0.82,-0.82 -4.33,4.1,4.56,14.45,1.09,-1.09,1.0,-1.0 -5.015,4.56,5.47,14.91,1.0,-1.0,0.92,-0.92 -5.925,5.47,6.38,15.59,0.97,-0.97,0.76,-0.76 -6.835,6.38,7.29,16.52,1.86,-1.86,1.53,-1.53 -7.75,7.29,8.21,17.01,2.53,-2.53,2.0,-2.0 -8.665,8.21,9.12,18.86,2.84,-2.84,2.65,-2.65 -10.485,9.12,11.85,20.33,0.75,-0.75,0.68,-0.68 -12.765,11.85,13.68,23.14,1.21,-1.21,1.09,-1.09 -15.959999999999999,13.68,18.24,25.6,1.66,-1.66,1.58,-1.58 -20.52,18.24,22.8,28.87,2.79,-2.79,2.62,-2.62 -25.08,22.8,27.36,30.59,3.82,-3.82,3.34,-3.34 -31.915,27.36,36.47,34.77,6.8,-6.8,5.79,-5.79 -40.735,36.47,45.0,27.88,24.47,-24.47,18.19,-18.19 - diff --git a/data/rawdata/pion/DELPHI/HEPData-ins473409-v1-Table_18.csv b/data/rawdata/pion/DELPHI/HEPData-ins473409-v1-Table_18.csv new file mode 100644 index 000000000..879de51da --- /dev/null +++ b/data/rawdata/pion/DELPHI/HEPData-ins473409-v1-Table_18.csv @@ -0,0 +1,37 @@ +#: table_doi: 10.17182/hepdata.49385.v1/t18 +#: name: Table 18 +#: description: Differential cross section for PI+- in Z0-->Q-QBAR events. + +#: data_file: Table18.yaml +#: keyword reactions: E+ E- --> PI- X | E+ E- --> PI+ X | E+ E- --> Z0 +#: keyword observables: DN/DP +#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering +#: keyword cmenergies: 91.2 +#: RE,,,E+ E- --> (PI+ + PI-) X +#: RE(Q=HAD),,,E+ E- --> HADRONS X +#: SQRT(S) [GeV],,,91.2,,,, +P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,(1/N(C=HAD))*D(N)/DP,stat +,stat -,sys +,sys - +0.8049999999999999,0.7,0.91,6.908,0.039,-0.039,0.239,-0.239 +1.025,0.91,1.14,5.495,0.032,-0.032,0.101,-0.101 +1.255,1.14,1.37,4.486,0.03,-0.03,0.095,-0.095 +1.485,1.37,1.6,3.688,0.027,-0.027,0.055,-0.055 +1.71,1.6,1.82,3.088,0.025,-0.025,0.051,-0.051 +2.05,1.82,2.28,2.426,0.018,-0.018,0.046,-0.046 +2.51,2.28,2.74,1.839,0.016,-0.016,0.043,-0.043 +2.965,2.74,3.19,1.443,0.01,-0.01,0.027,-0.027 +3.42,3.19,3.65,1.1517,0.0083,-0.0083,0.0257,-0.0257 +3.875,3.65,4.1,0.9364,0.0072,-0.0072,0.0216,-0.0216 +4.33,4.1,4.56,0.7714,0.0065,-0.0065,0.0183,-0.0183 +5.015,4.56,5.47,0.5961,0.0042,-0.0042,0.0157,-0.0157 +5.925,5.47,6.38,0.4306,0.0036,-0.0036,0.0124,-0.0124 +6.835,6.38,7.29,0.3211,0.0032,-0.0032,0.0101,-0.0101 +7.75,7.29,8.21,0.2464,0.003,-0.003,0.0082,-0.0082 +8.665,8.21,9.12,0.1877,0.0024,-0.0024,0.007,-0.007 +10.51,9.12,11.9,0.1194,0.0012,-0.0012,0.0045,-0.0045 +12.8,11.9,13.7,0.06922,0.00096,-0.00096,0.00277,-0.00277 +15.95,13.7,18.2,0.03661,0.00066,-0.00066,0.00154,-0.00154 +20.5,18.2,22.8,0.0149,0.00042,-0.00042,0.00071,-0.00071 +25.1,22.8,27.4,0.00673,0.0003,-0.0003,0.00037,-0.00037 +31.95,27.4,36.5,0.00214,0.0002,-0.0002,0.00024,-0.00024 +41.05,36.5,45.6,0.000298,8.4e-05,-8.4e-05,5.6e-05,-5.6e-05 + diff --git a/data/rawdata/pion/DELPHI/HEPData-ins473409-v1-Table_26.csv b/data/rawdata/pion/DELPHI/HEPData-ins473409-v1-Table_26.csv new file mode 100644 index 000000000..a32ae6f5e --- /dev/null +++ b/data/rawdata/pion/DELPHI/HEPData-ins473409-v1-Table_26.csv @@ -0,0 +1,37 @@ +#: table_doi: 10.17182/hepdata.49385.v1/t26 +#: name: Table 26 +#: description: Differential cross section for PI+- in Z0-->B-BBAR events. + +#: data_file: Table26.yaml +#: keyword reactions: E+ E- --> PI- X | E+ E- --> PI+ X | E+ E- --> Z0 +#: keyword observables: DN/DP +#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering +#: keyword cmenergies: 91.2 +#: RE,,,E+ E- --> (PI+ + PI-) X +#: RE(Q=HAD),,,E+ E- --> HADRONS X +#: SQRT(S) [GeV],,,91.2,,,, +P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,(1/N(C=HAD))*D(N)/DP,stat +,stat -,sys +,sys - +0.8049999999999999,0.7,0.91,7.781,0.096,-0.096,0.246,-0.246 +1.025,0.91,1.14,6.334,0.078,-0.078,0.102,-0.102 +1.255,1.14,1.37,5.205,0.072,-0.072,0.098,-0.098 +1.485,1.37,1.6,4.28,0.066,-0.066,0.06,-0.06 +1.71,1.6,1.82,3.595,0.063,-0.063,0.056,-0.056 +2.05,1.82,2.28,2.768,0.044,-0.044,0.047,-0.047 +2.51,2.28,2.74,2.14,0.039,-0.039,0.047,-0.047 +2.965,2.74,3.19,1.674,0.025,-0.025,0.031,-0.031 +3.42,3.19,3.65,1.312,0.02,-0.02,0.027,-0.027 +3.875,3.65,4.1,1.049,0.017,-0.017,0.022,-0.022 +4.33,4.1,4.56,0.853,0.015,-0.015,0.019,-0.019 +5.015,4.56,5.47,0.6166,0.0095,-0.0095,0.0138,-0.0138 +5.925,5.47,6.38,0.4124,0.0077,-0.0077,0.0101,-0.0101 +6.835,6.38,7.29,0.2861,0.0066,-0.0066,0.0079,-0.0079 +7.75,7.29,8.21,0.201,0.0057,-0.0057,0.0058,-0.0058 +8.665,8.21,9.12,0.1457,0.0044,-0.0044,0.0051,-0.0051 +10.51,9.12,11.9,0.081,0.0018,-0.0018,0.0029,-0.0029 +12.8,11.9,13.7,0.0409,0.0014,-0.0014,0.0018,-0.0018 +15.95,13.7,18.2,0.01858,0.00093,-0.00093,0.00088,-0.00088 +20.5,18.2,22.8,0.00629,0.00051,-0.00051,0.00042,-0.00042 +25.1,22.8,27.4,0.00252,0.00035,-0.00035,0.00028,-0.00028 +31.95,27.4,36.5,0.00081,0.0003,-0.0003,0.00018,-0.00018 +41.05,36.5,45.6,1.6e-05,4.2e-05,-4.2e-05,1.3e-05,-1.3e-05 + diff --git a/data/rawdata/pion/DELPHI/HEPData-ins473409-v1-Table_34.csv b/data/rawdata/pion/DELPHI/HEPData-ins473409-v1-Table_34.csv new file mode 100644 index 000000000..6af3ff3f2 --- /dev/null +++ b/data/rawdata/pion/DELPHI/HEPData-ins473409-v1-Table_34.csv @@ -0,0 +1,37 @@ +#: table_doi: 10.17182/hepdata.49385.v1/t34 +#: name: Table 34 +#: description: Differential cross section for PI+- in Z0-->(U-UBAR,D-DBAR,S-SBAR) events. + +#: data_file: Table34.yaml +#: keyword reactions: E+ E- --> PI- X | E+ E- --> PI+ X | E+ E- --> Z0 +#: keyword observables: DN/DP +#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering +#: keyword cmenergies: 91.2 +#: RE,,,E+ E- --> (PI+ + PI-) X +#: RE(Q=HAD),,,E+ E- --> HADRONS X +#: SQRT(S) [GeV],,,91.2,,,, +P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,(1/N(C=HAD))*D(N)/DP,stat +,stat -,sys +,sys - +0.8049999999999999,0.7,0.91,6.65,0.13,-0.13,0.2,-0.2 +1.025,0.91,1.14,5.231,0.065,-0.065,0.086,-0.086 +1.255,1.14,1.37,4.245,0.061,-0.061,0.08,-0.08 +1.485,1.37,1.6,3.487,0.043,-0.043,0.046,-0.046 +1.71,1.6,1.82,2.902,0.04,-0.04,0.043,-0.043 +2.05,1.82,2.28,2.296,0.031,-0.031,0.038,-0.038 +2.51,2.28,2.74,1.729,0.03,-0.03,0.037,-0.037 +2.965,2.74,3.19,1.351,0.019,-0.019,0.023,-0.023 +3.42,3.19,3.65,1.101,0.017,-0.017,0.023,-0.023 +3.875,3.65,4.1,0.901,0.014,-0.014,0.019,-0.019 +4.33,4.1,4.56,0.747,0.013,-0.013,0.016,-0.016 +5.015,4.56,5.47,0.59,0.01,-0.01,0.014,-0.014 +5.925,5.47,6.38,0.4369,0.0083,-0.0083,0.0115,-0.0115 +6.835,6.38,7.29,0.3324,0.007,-0.007,0.0094,-0.0094 +7.75,7.29,8.21,0.2635,0.0062,-0.0062,0.0077,-0.0077 +8.665,8.21,9.12,0.2037,0.005,-0.005,0.0066,-0.0066 +10.51,9.12,11.9,0.1333,0.0031,-0.0031,0.0043,-0.0043 +12.8,11.9,13.7,0.0812,0.0022,-0.0022,0.0027,-0.0027 +15.95,13.7,18.2,0.0449,0.0014,-0.0014,0.0015,-0.0015 +20.5,18.2,22.8,0.01938,0.00084,-0.00084,0.00073,-0.00073 +25.1,22.8,27.4,0.0093,0.00057,-0.00057,0.00037,-0.00037 +31.95,27.4,36.5,0.0029,0.0004,-0.0004,0.00028,-0.00028 +41.05,36.5,45.6,0.00042,0.00015,-0.00015,6e-05,-6e-05 + diff --git a/data/rawdata/pion/DELPHI/HEPData-ins473409-v1-Table_5.csv b/data/rawdata/pion/DELPHI/HEPData-ins473409-v1-Table_5.csv deleted file mode 100644 index b544b5108..000000000 --- a/data/rawdata/pion/DELPHI/HEPData-ins473409-v1-Table_5.csv +++ /dev/null @@ -1,37 +0,0 @@ -#: table_doi: 10.17182/hepdata.49385.v1/t5 -#: name: Table 5 -#: description: Normalised K+- production rates in Z0-->Q-QBAR events. - -#: data_file: Table5.yaml -#: keyword reactions: E+ E- --> K- X | E+ E- --> K+ X | E+ E- --> Z0 -#: keyword observables: DN/DP -#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering | Strange production -#: keyword cmenergies: 91.2 -#: RE,,,E+ E- --> (K+ + K-) X -#: RE(Q=TOT),,,E+ E- --> CHARGED X -#: SQRT(S) [GeV],,,91.2,,,, -P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,(D(N)/DP)/(D(N(Q=TOT))/DP) [PCT],stat +,stat -,sys +,sys - -0.8049999999999999,0.7,0.91,7.17,1.02,-1.02,0.95,-0.95 -1.025,0.91,1.14,8.58,1.18,-1.18,1.14,-1.14 -1.255,1.14,1.37,8.84,1.28,-1.28,1.24,-1.24 -1.485,1.37,1.6,10.21,0.99,-0.99,0.91,-0.91 -1.71,1.6,1.82,10.63,1.58,-1.58,1.49,-1.49 -2.05,1.82,2.28,11.84,2.06,-2.06,2.01,-2.01 -2.51,2.28,2.74,12.55,2.75,-2.75,2.69,-2.69 -2.965,2.74,3.19,13.25,0.89,-0.89,0.8,-0.8 -3.42,3.19,3.65,14.32,1.05,-1.05,0.99,-0.99 -3.875,3.65,4.1,15.59,0.98,-0.98,0.91,-0.91 -4.33,4.1,4.56,16.72,1.17,-1.17,1.09,-1.09 -5.015,4.56,5.47,17.39,1.15,-1.15,1.09,-1.09 -5.925,5.47,6.38,18.23,1.02,-1.02,0.84,-0.84 -6.835,6.38,7.29,19.25,1.94,-1.94,1.67,-1.67 -7.75,7.29,8.21,19.55,2.78,-2.78,2.37,-2.37 -8.665,8.21,9.12,21.47,3.04,-3.04,2.89,-2.89 -10.485,9.12,11.85,22.73,0.76,-0.76,0.69,-0.69 -12.765,11.85,13.68,25.17,1.04,-1.04,0.93,-0.93 -15.959999999999999,13.68,18.24,26.77,1.56,-1.56,1.49,-1.49 -20.52,18.24,22.8,29.04,2.75,-2.75,2.63,-2.63 -25.08,22.8,27.36,29.97,3.03,-3.03,2.62,-2.62 -31.915,27.36,36.47,33.86,6.91,-6.91,6.24,-6.24 -40.735,36.47,45.0,27.78,24.12,-24.12,20.12,-20.12 - diff --git a/data/rawdata/pion/DELPHI/HEPData-ins473409-v1-Table_9.csv b/data/rawdata/pion/DELPHI/HEPData-ins473409-v1-Table_9.csv deleted file mode 100644 index 541244c0b..000000000 --- a/data/rawdata/pion/DELPHI/HEPData-ins473409-v1-Table_9.csv +++ /dev/null @@ -1,37 +0,0 @@ -#: table_doi: 10.17182/hepdata.49385.v1/t9 -#: name: Table 9 -#: description: Normalised K+- production rates in Z0-->B-BBAR events. - -#: data_file: Table9.yaml -#: keyword reactions: E+ E- --> K- X | E+ E- --> K+ X | E+ E- --> Z0 -#: keyword observables: DN/DP -#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering | Strange production -#: keyword cmenergies: 91.2 -#: RE,,,E+ E- --> (K+ + K-) X -#: RE(Q=TOT),,,E+ E- --> CHARGED X -#: SQRT(S) [GeV],,,91.2,,,, -P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,(D(N)/DP)/(D(N(Q=TOT))/DP) [PCT],stat +,stat -,sys +,sys - -0.8049999999999999,0.7,0.91,6.7,1.14,-1.14,0.81,-0.81 -1.025,0.91,1.14,8.05,1.23,-1.23,1.09,-1.09 -1.255,1.14,1.37,8.51,1.45,-1.45,1.3,-1.3 -1.485,1.37,1.6,10.11,1.21,-1.21,0.85,-0.85 -1.71,1.6,1.82,11.03,2.08,-2.08,1.71,-1.71 -2.05,1.82,2.28,12.98,2.32,-2.32,2.0,-2.0 -2.51,2.28,2.74,14.59,3.2,-3.2,2.85,-2.85 -2.965,2.74,3.19,16.08,1.38,-1.38,0.91,-0.91 -3.42,3.19,3.65,17.76,1.45,-1.45,1.08,-1.08 -3.875,3.65,4.1,19.43,1.74,-1.74,1.4,-1.4 -4.33,4.1,4.56,20.67,1.66,-1.66,1.15,-1.15 -5.015,4.56,5.47,21.23,1.47,-1.47,1.03,-1.03 -5.925,5.47,6.38,21.73,2.03,-2.03,1.34,-1.34 -6.835,6.38,7.29,22.19,3.45,-3.45,1.88,-1.88 -7.75,7.29,8.21,21.76,5.01,-5.01,3.04,-3.04 -8.665,8.21,9.12,23.09,3.98,-3.98,3.12,-3.12 -10.485,9.12,11.85,22.77,1.0,-1.0,0.69,-0.69 -12.765,11.85,13.68,22.24,1.32,-1.32,0.86,-0.86 -15.959999999999999,13.68,18.24,19.85,1.36,-1.36,1.03,-1.03 -20.52,18.24,22.8,15.47,1.99,-1.99,1.59,-1.59 -25.08,22.8,27.36,11.5,1.97,-1.97,0.72,-0.72 -31.915,27.36,36.47,9.38,2.93,-2.93,0.83,-0.83 -40.735,36.47,45.0,5.86,9.04,-9.04,6.71,-6.71 - diff --git a/data/rawdata/pion/filter.py b/data/rawdata/pion/filter.py index c8ce1675f..e95c7ce46 100644 --- a/data/rawdata/pion/filter.py +++ b/data/rawdata/pion/filter.py @@ -676,7 +676,7 @@ def filter_ALEPH_KA(): # DELPHI - inclusive def filter_DELPHI_KA(): nameexp = 'DELPHI_KA_PLUS_MINUS' - infile = 'DELPHI/HEPData-ins473409-v1-Table_5.csv' + infile = 'DELPHI/HEPData-ins473409-v1-Table_18.csv' ndata = 23 cme = 91.20 #GeV zmin = 0.011 @@ -724,7 +724,7 @@ def filter_DELPHI_KA(): # DELPHI - uds tagged def filter_DELPHI_KA_UDS(): nameexp = 'DELPHI_KA_PLUS_MINUS_UDS' - infile = 'DELPHI/HEPData-ins473409-v1-Table_13.csv' + infile = 'DELPHI/HEPData-ins473409-v1-Table_34.csv' ndata = 23 cme = 91.20 #GeV zmin = 0.011 @@ -773,7 +773,7 @@ def filter_DELPHI_KA_UDS(): # DELPHI - b tagged def filter_DELPHI_KA_B(): nameexp = 'DELPHI_KA_PLUS_MINUS_B' - infile = 'DELPHI/HEPData-ins473409-v1-Table_9.csv' + infile = 'DELPHI/HEPData-ins473409-v1-Table_26.csv' ndata = 23 cme = 91.20 #GeV zmin = 0.011 diff --git a/data/rawdata/proton/DELPHI/HEPData-ins473409-v1-Table_10.csv b/data/rawdata/proton/DELPHI/HEPData-ins473409-v1-Table_10.csv deleted file mode 100644 index f561bbbd2..000000000 --- a/data/rawdata/proton/DELPHI/HEPData-ins473409-v1-Table_10.csv +++ /dev/null @@ -1,37 +0,0 @@ -#: table_doi: 10.17182/hepdata.49385.v1/t10 -#: name: Table 10 -#: description: Normalised P PBAR production rates in Z0-->B-BBAR events. - -#: data_file: Table10.yaml -#: keyword reactions: E+ E- --> PBAR X | E+ E- --> P X | E+ E- --> Z0 -#: keyword observables: DN/DP -#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering -#: keyword cmenergies: 91.2 -#: RE,,,E+ E- --> (P + PBAR) X -#: RE(Q=TOT),,,E+ E- --> CHARGED X -#: SQRT(S) [GeV],,,91.2,,,, -P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,(D(N)/DP)/(D(N(Q=TOT))/DP) [PCT],stat +,stat -,sys +,sys - -0.8049999999999999,0.7,0.91,3.65,0.84,-0.84,0.78,-0.78 -1.025,0.91,1.14,4.2,0.81,-0.81,0.68,-0.68 -1.255,1.14,1.37,3.99,1.06,-1.06,0.82,-0.82 -1.485,1.37,1.6,4.94,0.96,-0.96,0.54,-0.54 -1.71,1.6,1.82,5.36,0.86,-0.86,0.58,-0.58 -2.05,1.82,2.28,6.0,0.88,-0.88,0.65,-0.65 -2.51,2.28,2.74,5.06,0.82,-0.82,0.74,-0.74 -2.965,2.74,3.19,4.78,0.59,-0.59,0.57,-0.57 -3.42,3.19,3.65,4.96,0.65,-0.65,0.59,-0.59 -3.875,3.65,4.1,5.54,0.78,-0.78,0.68,-0.68 -4.33,4.1,4.56,5.6,0.99,-0.99,0.87,-0.87 -5.015,4.56,5.47,7.11,0.91,-0.91,0.68,-0.68 -5.925,5.47,6.38,9.16,1.69,-1.69,1.21,-1.21 -6.835,6.38,7.29,10.34,3.1,-3.1,1.2,-1.2 -7.75,7.29,8.21,11.5,5.13,-5.13,2.42,-2.42 -8.665,8.21,9.12,11.38,3.32,-3.32,1.72,-1.72 -10.485,9.12,11.85,10.88,1.64,-1.64,1.25,-1.25 -12.765,11.85,13.68,10.43,1.49,-1.49,0.94,-0.94 -15.959999999999999,13.68,18.24,7.87,1.11,-1.11,0.71,-0.71 -20.52,18.24,22.8,5.71,1.34,-1.34,0.91,-0.91 -25.08,22.8,27.36,4.72,2.05,-2.05,1.15,-1.15 -31.915,27.36,36.47,4.08,5.28,-5.28,3.7,-3.7 -40.735,36.47,45.0,29.72,137.3,-137.3,113.0,-113.0 - diff --git a/data/rawdata/proton/DELPHI/HEPData-ins473409-v1-Table_14.csv b/data/rawdata/proton/DELPHI/HEPData-ins473409-v1-Table_14.csv deleted file mode 100644 index 113b89908..000000000 --- a/data/rawdata/proton/DELPHI/HEPData-ins473409-v1-Table_14.csv +++ /dev/null @@ -1,37 +0,0 @@ -#: table_doi: 10.17182/hepdata.49385.v1/t14 -#: name: Table 14 -#: description: Normalised P PBAR production rates in Z0-->(U-UBAR,D-DBAR,S-SBAR) events. - -#: data_file: Table14.yaml -#: keyword reactions: E+ E- --> PBAR X | E+ E- --> P X | E+ E- --> Z0 -#: keyword observables: DN/DP -#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering -#: keyword cmenergies: 91.2 -#: RE,,,E+ E- --> (P + PBAR) X -#: RE(Q=TOT),,,E+ E- --> CHARGED X -#: SQRT(S) [GeV],,,91.2,,,, -P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,(D(N)/DP)/(D(N(Q=TOT))/DP) [PCT],stat +,stat -,sys +,sys - -0.8049999999999999,0.7,0.91,4.3,1.06,-1.06,1.04,-1.04 -1.025,0.91,1.14,5.1,1.06,-1.06,1.0,-1.0 -1.255,1.14,1.37,5.02,1.05,-1.05,0.93,-0.93 -1.485,1.37,1.6,6.4,0.89,-0.89,0.71,-0.71 -1.71,1.6,1.82,7.13,0.96,-0.96,0.85,-0.85 -2.05,1.82,2.28,8.4,0.88,-0.88,0.76,-0.76 -2.51,2.28,2.74,7.45,0.91,-0.91,0.86,-0.86 -2.965,2.74,3.19,7.17,0.79,-0.79,0.78,-0.78 -3.42,3.19,3.65,7.62,0.78,-0.78,0.73,-0.73 -3.875,3.65,4.1,8.31,1.03,-1.03,0.98,-0.98 -4.33,4.1,4.56,7.99,1.17,-1.17,1.1,-1.1 -5.015,4.56,5.47,9.11,0.9,-0.9,0.81,-0.81 -5.925,5.47,6.38,9.91,1.42,-1.42,1.25,-1.25 -6.835,6.38,7.29,10.0,1.92,-1.92,1.47,-1.47 -7.75,7.29,8.21,10.55,2.48,-2.48,1.57,-1.57 -8.665,8.21,9.12,10.41,2.09,-2.09,1.61,-1.61 -10.485,9.12,11.85,10.22,1.18,-1.18,1.07,-1.07 -12.765,11.85,13.68,10.84,1.4,-1.4,1.27,-1.27 -15.959999999999999,13.68,18.24,9.74,1.15,-1.15,1.03,-1.03 -20.52,18.24,22.8,9.7,1.71,-1.71,1.57,-1.57 -25.08,22.8,27.36,8.74,2.03,-2.03,1.71,-1.71 -31.915,27.36,36.47,6.76,2.71,-2.71,2.09,-2.09 -40.735,36.47,45.0,8.17,5.93,-5.93,4.2,-4.2 - diff --git a/data/rawdata/proton/DELPHI/HEPData-ins473409-v1-Table_22.csv b/data/rawdata/proton/DELPHI/HEPData-ins473409-v1-Table_22.csv new file mode 100644 index 000000000..d219a362f --- /dev/null +++ b/data/rawdata/proton/DELPHI/HEPData-ins473409-v1-Table_22.csv @@ -0,0 +1,37 @@ +#: table_doi: 10.17182/hepdata.49385.v1/t22 +#: name: Table 22 +#: description: Differential cross section for P PBAR in Z0-->Q-QBAR events. + +#: data_file: Table22.yaml +#: keyword reactions: E+ E- --> PBAR X | E+ E- --> P X | E+ E- --> Z0 +#: keyword observables: DN/DP +#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering +#: keyword cmenergies: 91.2 +#: RE,,,E+ E- --> (P + PBAR) X +#: RE(Q=HAD),,,E+ E- --> HADRONS X +#: SQRT(S) [GeV],,,91.2,,,, +P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,(1/N(C=HAD))*D(N)/DP,stat +,stat -,sys +,sys - +0.8049999999999999,0.7,0.91,0.32,0.016,-0.016,0.072,-0.072 +1.025,0.91,1.14,0.308,0.018,-0.018,0.053,-0.053 +1.255,1.14,1.37,0.249,0.022,-0.022,0.043,-0.043 +1.485,1.37,1.6,0.263,0.021,-0.021,0.03,-0.03 +1.71,1.6,1.82,0.249,0.015,-0.015,0.027,-0.027 +2.05,1.82,2.28,0.232,0.012,-0.012,0.021,-0.021 +2.51,2.28,2.74,0.1566,0.0062,-0.0062,0.0175,-0.0175 +2.965,2.74,3.19,0.1198,0.0034,-0.0034,0.0123,-0.0123 +3.42,3.19,3.65,0.1028,0.0036,-0.0036,0.0097,-0.0097 +3.875,3.65,4.1,0.0934,0.0036,-0.0036,0.0108,-0.0108 +4.33,4.1,4.56,0.0758,0.0035,-0.0035,0.0097,-0.0097 +5.015,4.56,5.47,0.0695,0.0027,-0.0027,0.0066,-0.0066 +5.925,5.47,6.38,0.0579,0.0036,-0.0036,0.0069,-0.0069 +6.835,6.38,7.29,0.0457,0.0054,-0.0054,0.0062,-0.0062 +7.75,7.29,8.21,0.0382,0.0065,-0.0065,0.0063,-0.0063 +8.665,8.21,9.12,0.0299,0.0038,-0.0038,0.0046,-0.0046 +10.51,9.12,11.9,0.0193,0.001,-0.001,0.0021,-0.0021 +12.8,11.9,13.7,0.01246,0.00076,-0.00076,0.0014,-0.0014 +15.95,13.7,18.2,0.00616,0.00036,-0.00036,0.00065,-0.00065 +20.5,18.2,22.8,0.0026,0.00021,-0.00021,0.00044,-0.00044 +25.1,22.8,27.4,0.00106,0.00015,-0.00015,0.00023,-0.00023 +31.95,27.4,36.5,0.000269,8.4e-05,-8.4e-05,0.000107,-0.000107 +41.05,36.5,45.6,4.6e-05,5.9e-05,-5.9e-05,2.8e-05,-2.8e-05 + diff --git a/data/rawdata/proton/DELPHI/HEPData-ins473409-v1-Table_30.csv b/data/rawdata/proton/DELPHI/HEPData-ins473409-v1-Table_30.csv new file mode 100644 index 000000000..9cca3faec --- /dev/null +++ b/data/rawdata/proton/DELPHI/HEPData-ins473409-v1-Table_30.csv @@ -0,0 +1,37 @@ +#: table_doi: 10.17182/hepdata.49385.v1/t30 +#: name: Table 30 +#: description: Differential cross section for P PBAR in Z0-->B-BBAR events. + +#: data_file: Table30.yaml +#: keyword reactions: E+ E- --> PBAR X | E+ E- --> P X | E+ E- --> Z0 +#: keyword observables: DN/DP +#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering +#: keyword cmenergies: 91.2 +#: RE,,,E+ E- --> (P + PBAR) X +#: RE(Q=HAD),,,E+ E- --> HADRONS X +#: SQRT(S) [GeV],,,91.2,,,, +P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,(1/N(C=HAD))*D(N)/DP,stat +,stat -,sys +,sys - +0.8049999999999999,0.7,0.91,0.303,0.051,-0.051,0.066,-0.066 +1.025,0.91,1.14,0.305,0.053,-0.053,0.05,-0.05 +1.255,1.14,1.37,0.331,0.049,-0.049,0.068,-0.068 +1.485,1.37,1.6,0.266,0.066,-0.066,0.029,-0.029 +1.71,1.6,1.82,0.257,0.049,-0.049,0.028,-0.028 +2.05,1.82,2.28,0.284,0.042,-0.042,0.03,-0.03 +2.51,2.28,2.74,0.176,0.026,-0.026,0.025,-0.025 +2.965,2.74,3.19,0.117,0.016,-0.016,0.014,-0.014 +3.42,3.19,3.65,0.093,0.016,-0.016,0.011,-0.011 +3.875,3.65,4.1,0.092,0.015,-0.015,0.011,-0.011 +4.33,4.1,4.56,0.072,0.016,-0.016,0.011,-0.011 +5.015,4.56,5.47,0.079,0.01,-0.01,0.008,-0.008 +5.925,5.47,6.38,0.075,0.012,-0.012,0.01,-0.01 +6.835,6.38,7.29,0.06,0.019,-0.019,0.007,-0.007 +7.75,7.29,8.21,0.044,0.022,-0.022,0.009,-0.009 +8.665,8.21,9.12,0.034,0.011,-0.011,0.005,-0.005 +10.51,9.12,11.9,0.0173,0.0029,-0.0029,0.0021,-0.0021 +12.8,11.9,13.7,0.0089,0.0018,-0.0018,0.0009,-0.0009 +15.95,13.7,18.2,0.00371,0.00071,-0.00071,0.00037,-0.00037 +20.5,18.2,22.8,0.00102,0.00033,-0.00033,0.00017,-0.00017 +25.1,22.8,27.4,0.00027,0.00019,-0.00019,7e-05,-7e-05 +31.95,27.4,36.5,8.3e-05,7.4e-05,-7.4e-05,7.7e-05,-7.7e-05 +41.05,36.5,45.6,4.5e-06,6e-06,-6e-06,1.73e-05,-1.73e-05 + diff --git a/data/rawdata/proton/DELPHI/HEPData-ins473409-v1-Table_38.csv b/data/rawdata/proton/DELPHI/HEPData-ins473409-v1-Table_38.csv new file mode 100644 index 000000000..3d93cf077 --- /dev/null +++ b/data/rawdata/proton/DELPHI/HEPData-ins473409-v1-Table_38.csv @@ -0,0 +1,37 @@ +#: table_doi: 10.17182/hepdata.49385.v1/t38 +#: name: Table 38 +#: description: Differential cross section for P PBAR in Z0-->(U-UBAR,D-DBAR,S-SBAR) events. + +#: data_file: Table38.yaml +#: keyword reactions: E+ E- --> PBAR X | E+ E- --> P X | E+ E- --> Z0 +#: keyword observables: DN/DP +#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering +#: keyword cmenergies: 91.2 +#: RE,,,E+ E- --> (P + PBAR) X +#: RE(Q=HAD),,,E+ E- --> HADRONS X +#: SQRT(S) [GeV],,,91.2,,,, +P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,(1/N(C=HAD))*D(N)/DP,stat +,stat -,sys +,sys - +0.8049999999999999,0.7,0.91,0.354,0.028,-0.028,0.075,-0.075 +1.025,0.91,1.14,0.317,0.031,-0.031,0.054,-0.054 +1.255,1.14,1.37,0.219,0.035,-0.035,0.035,-0.035 +1.485,1.37,1.6,0.251,0.025,-0.025,0.024,-0.024 +1.71,1.6,1.82,0.243,0.018,-0.018,0.025,-0.025 +2.05,1.82,2.28,0.208,0.015,-0.015,0.017,-0.017 +2.51,2.28,2.74,0.1451,0.0082,-0.0082,0.0145,-0.0145 +2.965,2.74,3.19,0.12,0.0021,-0.0021,0.0113,-0.0113 +3.42,3.19,3.65,0.1043,0.003,-0.003,0.0088,-0.0088 +3.875,3.65,4.1,0.0914,0.0041,-0.0041,0.0093,-0.0093 +4.33,4.1,4.56,0.0762,0.0035,-0.0035,0.0091,-0.0091 +5.015,4.56,5.47,0.0655,0.0036,-0.0036,0.0052,-0.0052 +5.925,5.47,6.38,0.0552,0.0048,-0.0048,0.0061,-0.0061 +6.835,6.38,7.29,0.0419,0.0066,-0.0066,0.0054,-0.0054 +7.75,7.29,8.21,0.0345,0.0077,-0.0077,0.0045,-0.0045 +8.665,8.21,9.12,0.0277,0.0049,-0.0049,0.0037,-0.0037 +10.51,9.12,11.9,0.0204,0.0013,-0.0013,0.0019,-0.0019 +12.8,11.9,13.7,0.0132,0.001,-0.001,0.0014,-0.0014 +15.95,13.7,18.2,0.00681,0.00048,-0.00048,0.00065,-0.00065 +20.5,18.2,22.8,0.00315,0.00028,-0.00028,0.00045,-0.00045 +25.1,22.8,27.4,0.00143,0.00021,-0.00021,0.00024,-0.00024 +31.95,27.4,36.5,0.00027,0.00014,-0.00014,7e-05,-7e-05 +41.05,36.5,45.6,7e-05,0.00029,-0.00029,3e-05,-3e-05 + diff --git a/data/rawdata/proton/DELPHI/HEPData-ins473409-v1-Table_6.csv b/data/rawdata/proton/DELPHI/HEPData-ins473409-v1-Table_6.csv deleted file mode 100644 index 671e31caf..000000000 --- a/data/rawdata/proton/DELPHI/HEPData-ins473409-v1-Table_6.csv +++ /dev/null @@ -1,37 +0,0 @@ -#: table_doi: 10.17182/hepdata.49385.v1/t6 -#: name: Table 6 -#: description: Normalised P PBAR production rates in Z0-->Q-QBAR events. - -#: data_file: Table6.yaml -#: keyword reactions: E+ E- --> PBAR X | E+ E- --> P X | E+ E- --> Z0 -#: keyword observables: DN/DP -#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering -#: keyword cmenergies: 91.2 -#: RE,,,E+ E- --> (P + PBAR) X -#: RE(Q=TOT),,,E+ E- --> CHARGED X -#: SQRT(S) [GeV],,,91.2,,,, -P(P=3) [GEV],P(P=3) [GEV] LOW,P(P=3) [GEV] HIGH,(D(N)/DP)/(D(N(Q=TOT))/DP) [PCT],stat +,stat -,sys +,sys - -0.8049999999999999,0.7,0.91,4.11,0.93,-0.93,0.92,-0.92 -1.025,0.91,1.14,4.85,0.87,-0.87,0.84,-0.84 -1.255,1.14,1.37,4.71,0.9,-0.9,0.82,-0.82 -1.485,1.37,1.6,5.97,0.79,-0.79,0.67,-0.67 -1.71,1.6,1.82,6.61,0.79,-0.79,0.7,-0.7 -2.05,1.82,2.28,7.68,0.77,-0.77,0.69,-0.69 -2.51,2.28,2.74,6.73,0.79,-0.79,0.75,-0.75 -2.965,2.74,3.19,6.46,0.68,-0.68,0.66,-0.66 -3.42,3.19,3.65,6.83,0.67,-0.67,0.63,-0.63 -3.875,3.65,4.1,7.46,0.89,-0.89,0.85,-0.85 -4.33,4.1,4.56,7.23,0.96,-0.96,0.91,-0.91 -5.015,4.56,5.47,8.37,0.82,-0.82,0.77,-0.77 -5.925,5.47,6.38,9.4,1.21,-1.21,1.09,-1.09 -6.835,6.38,7.29,9.7,1.64,-1.64,1.29,-1.29 -7.75,7.29,8.21,10.37,2.29,-2.29,1.67,-1.67 -8.665,8.21,9.12,10.3,1.88,-1.88,1.54,-1.54 -10.485,9.12,11.85,10.12,1.12,-1.12,1.04,-1.04 -12.765,11.85,13.68,10.75,1.24,-1.24,1.14,-1.14 -15.959999999999999,13.68,18.24,9.71,1.04,-1.04,0.95,-0.95 -20.52,18.24,22.8,9.54,1.68,-1.68,1.58,-1.58 -25.08,22.8,27.36,8.72,2.11,-2.11,1.88,-1.88 -31.915,27.36,36.47,7.0,3.16,-3.16,2.72,-2.72 -40.735,36.47,45.0,8.68,6.69,-6.69,5.16,-5.16 - diff --git a/data/rawdata/proton/filter.py b/data/rawdata/proton/filter.py index a9fb10b67..b3f173013 100644 --- a/data/rawdata/proton/filter.py +++ b/data/rawdata/proton/filter.py @@ -537,7 +537,7 @@ def filter_ALEPH_PR(): # DELPHI - inclusive def filter_DELPHI_PR(): nameexp = 'DELPHI_PR_PLUS_MINUS' - infile = 'DELPHI/HEPData-ins473409-v1-Table_6.csv' + infile = 'DELPHI/HEPData-ins473409-v1-Table_22.csv' ndata = 23 cme = 91.20 #GeV zmin = 0.011 @@ -585,7 +585,7 @@ def filter_DELPHI_PR(): # DELPHI - uds tagged def filter_DELPHI_PR_UDS(): nameexp = 'DELPHI_PR_PLUS_MINUS_UDS' - infile = 'DELPHI/HEPData-ins473409-v1-Table_14.csv' + infile = 'DELPHI/HEPData-ins473409-v1-Table_38.csv' ndata = 23 cme = 91.20 #GeV zmin = 0.011 @@ -634,7 +634,7 @@ def filter_DELPHI_PR_UDS(): # DELPHI - b tagged def filter_DELPHI_PR_B(): nameexp = 'DELPHI_PR_PLUS_MINUS_B' - infile = 'DELPHI/HEPData-ins473409-v1-Table_10.csv' + infile = 'DELPHI/HEPData-ins473409-v1-Table_30.csv' ndata = 23 cme = 91.20 #GeV zmin = 0.011 From 0279ef84c346b706d037db84998182b88fe2b7d4 Mon Sep 17 00:00:00 2001 From: vbertone Date: Thu, 5 Jun 2025 16:19:42 +0200 Subject: [PATCH 19/29] Inclusing small uncorrelated uncertainty to last point in SLD_PR_PLUS_MINUS_B.yaml to avoid a singular covariance matrix --- data/SLD_PR_PLUS_MINUS_B.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/data/SLD_PR_PLUS_MINUS_B.yaml b/data/SLD_PR_PLUS_MINUS_B.yaml index ca13d2537..20c6f9472 100644 --- a/data/SLD_PR_PLUS_MINUS_B.yaml +++ b/data/SLD_PR_PLUS_MINUS_B.yaml @@ -150,7 +150,7 @@ dependent_variables: - {label: mult, value: 0.01} value: -0.001 - errors: - - {label: unc, value: 0.00000} + - {label: unc, value: 0.00100} - {label: mult, value: 0.01} value: 0.0 independent_variables: From b445b268de262e8928c24cf1bb18f272f85fafb1 Mon Sep 17 00:00:00 2001 From: enocera Date: Mon, 9 Jun 2025 17:22:11 +0200 Subject: [PATCH 20/29] Fixing SLD proton --- data/SLD_PR_PLUS_MINUS.yaml | 12 ++++++------ data/SLD_PR_PLUS_MINUS_B.yaml | 8 +------- data/SLD_PR_PLUS_MINUS_C.yaml | 10 +++++----- data/SLD_PR_PLUS_MINUS_UDS.yaml | 10 +++++----- data/rawdata/proton/filter.py | 2 +- 5 files changed, 18 insertions(+), 24 deletions(-) diff --git a/data/SLD_PR_PLUS_MINUS.yaml b/data/SLD_PR_PLUS_MINUS.yaml index 1626cfd5c..4dad95668 100644 --- a/data/SLD_PR_PLUS_MINUS.yaml +++ b/data/SLD_PR_PLUS_MINUS.yaml @@ -43,15 +43,15 @@ dependent_variables: - errors: - {label: unc, value: 0.28100} - {label: mult, value: 0.01} - value: 6.587000000000001 + value: 6.587 - errors: - {label: unc, value: 0.26013} - {label: mult, value: 0.01} - value: 5.787999999999999 + value: 5.788 - errors: - {label: unc, value: 0.24897} - {label: mult, value: 0.01} - value: 5.343999999999999 + value: 5.344 - errors: - {label: unc, value: 0.25151} - {label: mult, value: 0.01} @@ -59,7 +59,7 @@ dependent_variables: - errors: - {label: unc, value: 0.26185} - {label: mult, value: 0.01} - value: 4.2780000000000005 + value: 4.278 - errors: - {label: unc, value: 0.27242} - {label: mult, value: 0.01} @@ -87,7 +87,7 @@ dependent_variables: - errors: - {label: unc, value: 0.60871} - {label: mult, value: 0.01} - value: 1.6030000000000002 + value: 1.603 - errors: - {label: unc, value: 0.25894} - {label: mult, value: 0.01} @@ -123,7 +123,7 @@ dependent_variables: - errors: - {label: unc, value: 0.01131} - {label: mult, value: 0.01} - value: 0.17300000000000001 + value: 0.173 - errors: - {label: unc, value: 0.00860} - {label: mult, value: 0.01} diff --git a/data/SLD_PR_PLUS_MINUS_B.yaml b/data/SLD_PR_PLUS_MINUS_B.yaml index 20c6f9472..8123a1a85 100644 --- a/data/SLD_PR_PLUS_MINUS_B.yaml +++ b/data/SLD_PR_PLUS_MINUS_B.yaml @@ -96,7 +96,7 @@ dependent_variables: - errors: - {label: unc, value: 0.07200} - {label: mult, value: 0.01} - value: 0.7390000000000001 + value: 0.739 - errors: - {label: unc, value: 0.06000} - {label: mult, value: 0.01} @@ -149,10 +149,6 @@ dependent_variables: - {label: unc, value: 0.00100} - {label: mult, value: 0.01} value: -0.001 - - errors: - - {label: unc, value: 0.00100} - - {label: mult, value: 0.01} - value: 0.0 independent_variables: - header: {name: "z"} values: @@ -191,7 +187,6 @@ independent_variables: - {value: 0.54739, factor: 0.99929} - {value: 0.60865, factor: 0.99943} - {value: 0.70500, factor: 0.99957} - - {value: 0.83855, factor: 0.99970} - header: {name: "xp"} values: - {value: 0.01530} @@ -229,4 +224,3 @@ independent_variables: - {value: 0.54700} - {value: 0.60830} - {value: 0.70470} - - {value: 0.83830} diff --git a/data/SLD_PR_PLUS_MINUS_C.yaml b/data/SLD_PR_PLUS_MINUS_C.yaml index 388f26a6e..5edb16a96 100644 --- a/data/SLD_PR_PLUS_MINUS_C.yaml +++ b/data/SLD_PR_PLUS_MINUS_C.yaml @@ -108,7 +108,7 @@ dependent_variables: - errors: - {label: unc, value: 0.10100} - {label: mult, value: 0.01} - value: 0.5720000000000001 + value: 0.572 - errors: - {label: unc, value: 0.08900} - {label: mult, value: 0.01} @@ -116,7 +116,7 @@ dependent_variables: - errors: - {label: unc, value: 0.06900} - {label: mult, value: 0.01} - value: 0.45399999999999996 + value: 0.454 - errors: - {label: unc, value: 0.05400} - {label: mult, value: 0.01} @@ -128,7 +128,7 @@ dependent_variables: - errors: - {label: unc, value: 0.03300} - {label: mult, value: 0.01} - value: 0.10300000000000001 + value: 0.103 - errors: - {label: unc, value: 0.02800} - {label: mult, value: 0.01} @@ -140,11 +140,11 @@ dependent_variables: - errors: - {label: unc, value: 0.01700} - {label: mult, value: 0.01} - value: 0.044000000000000004 + value: 0.044 - errors: - {label: unc, value: 0.00700} - {label: mult, value: 0.01} - value: 0.006999999999999999 + value: 0.007 - errors: - {label: unc, value: 0.00500} - {label: mult, value: 0.01} diff --git a/data/SLD_PR_PLUS_MINUS_UDS.yaml b/data/SLD_PR_PLUS_MINUS_UDS.yaml index 2bbe937e7..30ddfeba5 100644 --- a/data/SLD_PR_PLUS_MINUS_UDS.yaml +++ b/data/SLD_PR_PLUS_MINUS_UDS.yaml @@ -100,7 +100,7 @@ dependent_variables: - errors: - {label: unc, value: 0.04400} - {label: mult, value: 0.01} - value: 0.8220000000000001 + value: 0.822 - errors: - {label: unc, value: 0.03800} - {label: mult, value: 0.01} @@ -128,7 +128,7 @@ dependent_variables: - errors: - {label: unc, value: 0.01300} - {label: mult, value: 0.01} - value: 0.19699999999999998 + value: 0.197 - errors: - {label: unc, value: 0.01100} - {label: mult, value: 0.01} @@ -136,7 +136,7 @@ dependent_variables: - errors: - {label: unc, value: 0.00800} - {label: mult, value: 0.01} - value: 0.10800000000000001 + value: 0.108 - errors: - {label: unc, value: 0.00600} - {label: mult, value: 0.01} @@ -144,11 +144,11 @@ dependent_variables: - errors: - {label: unc, value: 0.00300} - {label: mult, value: 0.01} - value: 0.036000000000000004 + value: 0.036 - errors: - {label: unc, value: 0.00200} - {label: mult, value: 0.01} - value: 0.013000000000000001 + value: 0.013 - errors: - {label: unc, value: 0.00100} - {label: mult, value: 0.01} diff --git a/data/rawdata/proton/filter.py b/data/rawdata/proton/filter.py index b3f173013..cc11e93de 100644 --- a/data/rawdata/proton/filter.py +++ b/data/rawdata/proton/filter.py @@ -887,7 +887,7 @@ def filter_SLD_PR_C(): def filter_SLD_PR_B(): nameexp = 'SLD_PR_PLUS_MINUS_B' infile = 'SLD/HEPData-ins630327-v1-Table_7.csv' - ndata = 36 + ndata = 35 cme = 91.20 #GeV zmin = 0.011 zmax = 0.800 From 014bfbf85601dbec8771e4d03c9d2a5a2f7f1c9c Mon Sep 17 00:00:00 2001 From: enocera Date: Mon, 9 Jun 2025 21:28:59 +0200 Subject: [PATCH 21/29] Updated HEPData table --- .../SLD/HEPData-ins630327-v1-Table_7.csv | 51 +++++++++---------- 1 file changed, 25 insertions(+), 26 deletions(-) diff --git a/data/rawdata/proton/SLD/HEPData-ins630327-v1-Table_7.csv b/data/rawdata/proton/SLD/HEPData-ins630327-v1-Table_7.csv index 0dc1af6eb..69f3b64bb 100644 --- a/data/rawdata/proton/SLD/HEPData-ins630327-v1-Table_7.csv +++ b/data/rawdata/proton/SLD/HEPData-ins630327-v1-Table_7.csv @@ -1,16 +1,16 @@ -#: table_doi: 10.17182/hepdata.22177.v1/t7 -#: name: Table 7 -#: description: Differential production rates of charged protons plus antiprotons per Z0 decay into light (u,d,s) and c and b quarks. The errors are combined statistical and systematic. - -#: data_file: Table7.yaml -#: keyword reactions: E+ E- --> PBAR X | E+ E- --> P X | E+ E- --> Z0 -#: keyword observables: DN/DX -#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering -#: keyword cmenergies: 91.28 -#: RE(Q=PPBAR),E+ E- --> (P + PBAR) X -#: RE(Q=ZB),E+ E- --> Z0 < BQUARK BQUARKBAR > -#: RE(Q=ZC),E+ E- --> Z0 < CQUARK CQUARKBAR > -#: RE(Q=ZL),E+ E- --> Z0 < LQUARK LQUARKBAR > +#: table_doi: 10.17182/hepdata.22177.v1/t7,,, +#: name: Table 7,,, +#: description: Differential production rates of charged protons plus antiprotons per Z0 decay into light (u,d,s) and c and b quarks. The errors are combined statistical and systematic., +,,, +#: data_file: Table7.yaml,,, +#: keyword reactions: E+ E- --> PBAR X | E+ E- --> P X | E+ E- --> Z0,,, +#: keyword observables: DN/DX,,, +#: keyword phrases: Inclusive | Exclusive | Single Differential Distribution | E+ E- Scattering,,, +#: keyword cmenergies: 91.28,,, +#: RE(Q=PPBAR),E+ E- --> (P + PBAR) X,, +#: RE(Q=ZB),E+ E- --> Z0 < BQUARK BQUARKBAR >,, +#: RE(Q=ZC),E+ E- --> Z0 < CQUARK CQUARKBAR >,, +#: RE(Q=ZL),E+ E- --> Z0 < LQUARK LQUARKBAR >,, #: SQRT(S) [GeV],91.28,, X(DEF=2*P(P=3)/SQRT(S)),(1/N(Q=ZL))*D(N(Q=PBAR))/DX,error +,error - 0.0153,13.98,0.99,-0.99 @@ -50,11 +50,11 @@ X(DEF=2*P(P=3)/SQRT(S)),(1/N(Q=ZL))*D(N(Q=PBAR))/DX,error +,error - 0.7047,0.013,0.002,-0.002 0.8383,0.003,0.001,-0.001 -,1.008,0.038,-0.038 - -#: RE(Q=PPBAR),E+ E- --> (P + PBAR) X -#: RE(Q=ZB),E+ E- --> Z0 < BQUARK BQUARKBAR > -#: RE(Q=ZC),E+ E- --> Z0 < CQUARK CQUARKBAR > -#: RE(Q=ZL),E+ E- --> Z0 < LQUARK LQUARKBAR > +,,, +#: RE(Q=PPBAR),E+ E- --> (P + PBAR) X,, +#: RE(Q=ZB),E+ E- --> Z0 < BQUARK BQUARKBAR >,, +#: RE(Q=ZC),E+ E- --> Z0 < CQUARK CQUARKBAR >,, +#: RE(Q=ZL),E+ E- --> Z0 < LQUARK LQUARKBAR >,, #: SQRT(S) [GeV],91.28,, X(DEF=2*P(P=3)/SQRT(S)),(1/N(Q=ZC))*D(N(Q=PBAR))/DX,error +,error - 0.0153,13.28,2.94,-2.94 @@ -94,11 +94,11 @@ X(DEF=2*P(P=3)/SQRT(S)),(1/N(Q=ZC))*D(N(Q=PBAR))/DX,error +,error - 0.7047,0.015,0.005,-0.005 0.8383,0.001,0.002,-0.002 -,0.93,0.056,-0.056 - -#: RE(Q=PPBAR),E+ E- --> (P + PBAR) X -#: RE(Q=ZB),E+ E- --> Z0 < BQUARK BQUARKBAR > -#: RE(Q=ZC),E+ E- --> Z0 < CQUARK CQUARKBAR > -#: RE(Q=ZL),E+ E- --> Z0 < LQUARK LQUARKBAR > +,,, +#: RE(Q=PPBAR),E+ E- --> (P + PBAR) X,, +#: RE(Q=ZB),E+ E- --> Z0 < BQUARK BQUARKBAR >,, +#: RE(Q=ZC),E+ E- --> Z0 < CQUARK CQUARKBAR >,, +#: RE(Q=ZL),E+ E- --> Z0 < LQUARK LQUARKBAR >,, #: SQRT(S) [GeV],91.28,, X(DEF=2*P(P=3)/SQRT(S)),(1/N(Q=ZB))*D(N(Q=PBAR))/DX,error +,error - 0.0153,13.79,1.49,-1.49 @@ -136,6 +136,5 @@ X(DEF=2*P(P=3)/SQRT(S)),(1/N(Q=ZB))*D(N(Q=PBAR))/DX,error +,error - 0.547,-0.003,0.003,-0.003 0.6083,0.004,0.002,-0.002 0.7047,-0.001,0.001,-0.001 -0.8383,0.0,0.0,-0.0 --,0.909,0.037,-0.037 - +0.8383,0.909,0.037,-0.037 +-,,, From 8f99a55cea0fda6e78f0c7dc77c4d5deb9a0220f Mon Sep 17 00:00:00 2001 From: enocera Date: Sun, 15 Jun 2025 18:52:45 +0200 Subject: [PATCH 22/29] Fixed BABAR proton; added BELLE proton --- data/BABAR_PR_PLUS_MINUS_CONVENTIONAL.yaml | 3 +- data/BABAR_PR_PLUS_MINUS_PROMPT.yaml | 3 +- data/BELLE_PR_PLUS_MINUS.yaml | 160 +++++++++++++++++++ data/rawdata/proton/BELLE/cross_sections.csv | 29 ++++ data/rawdata/proton/filter.py | 73 ++++++++- 5 files changed, 264 insertions(+), 4 deletions(-) create mode 100644 data/BELLE_PR_PLUS_MINUS.yaml create mode 100644 data/rawdata/proton/BELLE/cross_sections.csv diff --git a/data/BABAR_PR_PLUS_MINUS_CONVENTIONAL.yaml b/data/BABAR_PR_PLUS_MINUS_CONVENTIONAL.yaml index d10af67cd..6032e8e6b 100644 --- a/data/BABAR_PR_PLUS_MINUS_CONVENTIONAL.yaml +++ b/data/BABAR_PR_PLUS_MINUS_CONVENTIONAL.yaml @@ -1,5 +1,5 @@ dependent_variables: -- header: {title: "BABAR conventional $b+\\bar{p}$ Multiplicity"} +- header: {title: "BABAR coventional $b+\\bar{p}$ Multiplicity"} qualifiers: - {name: process, value: SIA} - {name: Vs, value: 10.54 , units: GeV} @@ -7,6 +7,7 @@ dependent_variables: - {name: z, low: 0.011 , high: 0.8 , integrate: false} - {name: hadron, value: PR} - {name: charge, value: 0} + - {name: tagging, value: [u,d,s,c]} values: - errors: - {label: unc, value: 0.00318} diff --git a/data/BABAR_PR_PLUS_MINUS_PROMPT.yaml b/data/BABAR_PR_PLUS_MINUS_PROMPT.yaml index bd025574d..116fefde8 100644 --- a/data/BABAR_PR_PLUS_MINUS_PROMPT.yaml +++ b/data/BABAR_PR_PLUS_MINUS_PROMPT.yaml @@ -1,5 +1,5 @@ dependent_variables: -- header: {title: "BABAR prompt $p+\\bar{p}$ Multiplicity"} +- header: {title: "BABAR prmpt $p+\\bar{p}$ Multiplicity"} qualifiers: - {name: process, value: SIA} - {name: Vs, value: 10.54 , units: GeV} @@ -7,6 +7,7 @@ dependent_variables: - {name: z, low: 0.011 , high: 0.8 , integrate: false} - {name: hadron, value: PR} - {name: charge, value: 0} + - {name: tagging, value: [u,d,s,c]} values: - errors: - {label: unc, value: 0.00258} diff --git a/data/BELLE_PR_PLUS_MINUS.yaml b/data/BELLE_PR_PLUS_MINUS.yaml new file mode 100644 index 000000000..d97b22504 --- /dev/null +++ b/data/BELLE_PR_PLUS_MINUS.yaml @@ -0,0 +1,160 @@ +dependent_variables: +- header: {title: "BELLE $p+\\bar{p}$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 10.58 , units: GeV} + - {name: prefactor, value: 0.65e+6} + - {name: normalised, value: false} + - {name: z, low: 0.175 , high: 0.875 , integrate: false} + - {name: hadron, value: PR} + - {name: charge, value: 0} + - {name: tagging, value: [u,d,s,c]} + values: + - errors: + - {label: unc, value: 99289.49793} + - {label: mult, value: 0.014} + value: 3261550.0 + - errors: + - {label: unc, value: 106263.76193} + - {label: mult, value: 0.014} + value: 3837750.0 + - errors: + - {label: unc, value: 133101.87114} + - {label: mult, value: 0.014} + value: 2965200.0 + - errors: + - {label: unc, value: 102372.79308} + - {label: mult, value: 0.014} + value: 2166250.0 + - errors: + - {label: unc, value: 69009.04578} + - {label: mult, value: 0.014} + value: 1668750.0 + - errors: + - {label: unc, value: 18063.71570} + - {label: mult, value: 0.014} + value: 1332980.0 + - errors: + - {label: unc, value: 14918.14318} + - {label: mult, value: 0.014} + value: 1152855.0 + - errors: + - {label: unc, value: 12955.19973} + - {label: mult, value: 0.014} + value: 973490.0 + - errors: + - {label: unc, value: 12894.99899} + - {label: mult, value: 0.014} + value: 824255.0 + - errors: + - {label: unc, value: 12603.65011} + - {label: mult, value: 0.014} + value: 681165.0 + - errors: + - {label: unc, value: 8062.85334} + - {label: mult, value: 0.014} + value: 559735.0 + - errors: + - {label: unc, value: 5014.38241} + - {label: mult, value: 0.014} + value: 461615.0 + - errors: + - {label: unc, value: 3738.36314} + - {label: mult, value: 0.014} + value: 376265.0 + - errors: + - {label: unc, value: 2695.76167} + - {label: mult, value: 0.014} + value: 305295.0 + - errors: + - {label: unc, value: 2086.62407} + - {label: mult, value: 0.014} + value: 235490.0 + - errors: + - {label: unc, value: 1807.51515} + - {label: mult, value: 0.014} + value: 177635.0 + - errors: + - {label: unc, value: 1742.89988} + - {label: mult, value: 0.014} + value: 138835.0 + - errors: + - {label: unc, value: 3880.78742} + - {label: mult, value: 0.014} + value: 109965.0 + - errors: + - {label: unc, value: 8197.69211} + - {label: mult, value: 0.014} + value: 88285.0 + - errors: + - {label: unc, value: 11501.72165} + - {label: mult, value: 0.014} + value: 70300.0 + - errors: + - {label: unc, value: 10201.05921} + - {label: mult, value: 0.014} + value: 54800.0 + - errors: + - {label: unc, value: 9300.79787} + - {label: mult, value: 0.014} + value: 41310.0 + - errors: + - {label: unc, value: 9205.62459} + - {label: mult, value: 0.014} + value: 29605.0 + - errors: + - {label: unc, value: 9325.51030} + - {label: mult, value: 0.014} + value: 20505.0 + - errors: + - {label: unc, value: 8740.41605} + - {label: mult, value: 0.014} + value: 13090.0 + - errors: + - {label: unc, value: 9400.28501} + - {label: mult, value: 0.014} + value: 8180.0 + - errors: + - {label: unc, value: 10100.15249} + - {label: mult, value: 0.014} + value: 4540.0 + - errors: + - {label: unc, value: 9000.07980} + - {label: mult, value: 0.014} + value: 2110.0 + - errors: + - {label: unc, value: 6860.07141} + - {label: mult, value: 0.014} + value: 457.0 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.20000, low: 0.17500, value: 0.18750, factor: 1.00000} + - {high: 0.22500, low: 0.20000, value: 0.21250, factor: 1.00000} + - {high: 0.25000, low: 0.22500, value: 0.23750, factor: 1.00000} + - {high: 0.27500, low: 0.25000, value: 0.26250, factor: 1.00000} + - {high: 0.30000, low: 0.27500, value: 0.28750, factor: 1.00000} + - {high: 0.32500, low: 0.30000, value: 0.31250, factor: 1.00000} + - {high: 0.35000, low: 0.32500, value: 0.33750, factor: 1.00000} + - {high: 0.37500, low: 0.35000, value: 0.36250, factor: 1.00000} + - {high: 0.40000, low: 0.37500, value: 0.38750, factor: 1.00000} + - {high: 0.42500, low: 0.40000, value: 0.41250, factor: 1.00000} + - {high: 0.45000, low: 0.42500, value: 0.43750, factor: 1.00000} + - {high: 0.47500, low: 0.45000, value: 0.46250, factor: 1.00000} + - {high: 0.50000, low: 0.47500, value: 0.48750, factor: 1.00000} + - {high: 0.52500, low: 0.50000, value: 0.51250, factor: 1.00000} + - {high: 0.55000, low: 0.52500, value: 0.53750, factor: 1.00000} + - {high: 0.57500, low: 0.55000, value: 0.56250, factor: 1.00000} + - {high: 0.60000, low: 0.57500, value: 0.58750, factor: 1.00000} + - {high: 0.62500, low: 0.60000, value: 0.61250, factor: 1.00000} + - {high: 0.65000, low: 0.62500, value: 0.63750, factor: 1.00000} + - {high: 0.67500, low: 0.65000, value: 0.66250, factor: 1.00000} + - {high: 0.70000, low: 0.67500, value: 0.68750, factor: 1.00000} + - {high: 0.72500, low: 0.70000, value: 0.71250, factor: 1.00000} + - {high: 0.75000, low: 0.72500, value: 0.73750, factor: 1.00000} + - {high: 0.77500, low: 0.75000, value: 0.76250, factor: 1.00000} + - {high: 0.80000, low: 0.77500, value: 0.78750, factor: 1.00000} + - {high: 0.82500, low: 0.80000, value: 0.81250, factor: 1.00000} + - {high: 0.85000, low: 0.82500, value: 0.83750, factor: 1.00000} + - {high: 0.87500, low: 0.85000, value: 0.86250, factor: 1.00000} + - {high: 0.90000, low: 0.87500, value: 0.88750, factor: 1.00000} diff --git a/data/rawdata/proton/BELLE/cross_sections.csv b/data/rawdata/proton/BELLE/cross_sections.csv new file mode 100644 index 000000000..3eeeb321e --- /dev/null +++ b/data/rawdata/proton/BELLE/cross_sections.csv @@ -0,0 +1,29 @@ +0.175,0.2,3.27E+06,1.87E+03,9.01E+04,-1.07E+05 +0.2,0.225,3.82E+06,1.14E+03,1.21E+05,-8.55E+04 +0.225,0.25,2.91E+06,1.09E+03,1.63E+05,-5.26E+04 +0.25,0.275,2.12E+06,7.08E+02,1.25E+05,-3.25E+04 +0.275,0.3,1.64E+06,1.03E+03,8.45E+04,-2.70E+04 +0.3,0.325,1.34E+06,5.75E+02,8.06E+03,-2.21E+04 +0.325,0.35,1.16E+06,6.61E+02,3.81E+03,-1.81E+04 +0.35,0.375,9.80E+05,6.70E+02,2.58E+03,-1.56E+04 +0.375,0.4,8.31E+05,6.18E+02,1.91E+03,-1.54E+04 +0.4,0.425,6.88E+05,6.11E+02,1.23E+03,-1.49E+04 +0.425,0.45,5.64E+05,5.23E+02,1.06E+03,-9.59E+03 +0.45,0.475,4.64E+05,4.34E+02,1.30E+03,-6.07E+03 +0.475,0.5,3.78E+05,3.78E+02,1.06E+03,-4.53E+03 +0.5,0.525,3.06E+05,3.84E+02,1.77E+03,-3.18E+03 +0.525,0.55,2.36E+05,3.30E+02,1.42E+03,-2.44E+03 +0.55,0.575,1.78E+05,3.06E+02,1.34E+03,-2.07E+03 +0.575,0.6,1.39E+05,2.05E+02,1.55E+03,-1.88E+03 +0.6,0.625,1.10E+05,2.06E+02,3.84E+03,-3.91E+03 +0.625,0.65,8.83E+04,2.09E+02,8.18E+03,-8.21E+03 +0.65,0.675,7.03E+04,1.99E+02,1.15E+04,-1.15E+04 +0.675,0.7,5.48E+04,1.47E+02,1.02E+04,-1.02E+04 +0.7,0.725,4.13E+04,1.21E+02,9.31E+03,-9.29E+03 +0.725,0.75,2.96E+04,1.07E+02,9.21E+03,-9.20E+03 +0.75,0.775,2.05E+04,9.73E+01,9.33E+03,-9.32E+03 +0.775,0.8,1.31E+04,8.41E+01,8.73E+03,-8.75E+03 +0.8,0.825,8.18E+03,7.32E+01,9.40E+03,-9.40E+03 +0.825,0.85,4.54E+03,5.55E+01,1.01E+04,-1.01E+04 +0.85,0.875,2.11E+03,3.79E+01,9.00E+03,-9.00E+03 +0.875,0.9,4.57E+02,3.13E+01,6.86E+03,-6.86E+03 diff --git a/data/rawdata/proton/filter.py b/data/rawdata/proton/filter.py index cc11e93de..b785ad57a 100644 --- a/data/rawdata/proton/filter.py +++ b/data/rawdata/proton/filter.py @@ -5,6 +5,72 @@ mPR = 0.9382720813 # GeV +# BELLE - inclusive +def filter_BELLE_PR(): + nameexp = 'BELLE_PR_PLUS_MINUS' + infile = 'BELLE/cross_sections.csv' + ndata = 29 + cme = 10.58 #GeV + zmin = 0.175 + zmax = 0.875 + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + sep=',', + header=None, + usecols=[0,1,2,3,4,5], + engine='python') + + delta = (data.loc[:,4]+data.loc[:,5])/2. + DELTA = (data.loc[:,4]-data.loc[:,5])/2. + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "BELLE $p+\\\\bar{p}$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) + print(' - {name: prefactor, value: 0.65e+6}', file=f) + print(' - {name: normalised, value: false}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: PR}', file=f) + print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [u,d,s,c]}', file=f) + print(' values:', file=f) + + for i in range(ndata): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,3]**2. + DELTA.iloc[i]**2. + 2.*delta.iloc[i]**2.)), file=f) + print(' - {label: mult, value: 0.014}', file=f) + print(' value: %7.1f' % (data.iloc[i,2]+delta.iloc[i]), file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for i in range(ndata): + factor = 1. + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (factor * data.iloc[i,1], factor * data.iloc[i,0], factor * ( data.iloc[i,0] + data.iloc[i,1]) / 2., 1./factor), file=f) + + + + + + + + + + + + + + + + + + + # BABAR - conventional inclusive def filter_BABAR_PR_CONVENTIONAL(): nameexp = 'BABAR_PR_PLUS_MINUS_CONVENTIONAL' @@ -40,6 +106,7 @@ def filter_BABAR_PR_CONVENTIONAL(): print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) print(' - {name: hadron, value: PR}', file=f) print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [u,d,s,c]}', file=f) print(' values:', file=f) for i in range(ndata): @@ -102,6 +169,7 @@ def filter_BABAR_PR_PROMPT(): print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) print(' - {name: hadron, value: PR}', file=f) print(' - {name: charge, value: 0}', file=f) + print(' - {name: tagging, value: [u,d,s,c]}', file=f) print(' values:', file=f) for i in range(ndata): @@ -795,7 +863,7 @@ def filter_SLD_PR_UDS(): sep=',', header=None, usecols=[0,1,2,3], - skipfooter=90, + skipfooter=89, engine='python') with open(nameexp + '.yaml', 'w') as f: @@ -847,7 +915,7 @@ def filter_SLD_PR_C(): sep=',', header=None, usecols=[0,1,2,3], - skipfooter=46, + skipfooter=45, engine='python') with open(nameexp + '.yaml', 'w') as f: @@ -936,6 +1004,7 @@ def filter_SLD_PR_B(): % (data.iloc[i,0]) , file=f) # Filter data +filter_BELLE_PR() filter_BABAR_PR_CONVENTIONAL() filter_BABAR_PR_PROMPT() filter_TASSO12_PR() From 9a5a720b26c2df6cf475dc50246ec74a9e6c67ae Mon Sep 17 00:00:00 2001 From: enocera Date: Mon, 16 Jun 2025 10:23:44 +0200 Subject: [PATCH 23/29] Added BESIII kaon data --- data/BESIII_KA_MINUS_2p0000.yaml | 75 ++++++++++ data/BESIII_KA_MINUS_2p2000.yaml | 85 ++++++++++++ data/BESIII_KA_MINUS_2p3960.yaml | 100 ++++++++++++++ data/BESIII_KA_MINUS_2p6444.yaml | 105 ++++++++++++++ data/BESIII_KA_MINUS_2p9000.yaml | 125 +++++++++++++++++ data/BESIII_KA_MINUS_3p0500.yaml | 120 ++++++++++++++++ data/BESIII_KA_MINUS_3p5000.yaml | 120 ++++++++++++++++ data/BESIII_KA_MINUS_3p6710.yaml | 130 ++++++++++++++++++ data/BESIII_KA_PLUS_2p0000.yaml | 75 ++++++++++ data/BESIII_KA_PLUS_2p2000.yaml | 85 ++++++++++++ data/BESIII_KA_PLUS_2p3960.yaml | 100 ++++++++++++++ data/BESIII_KA_PLUS_2p6444.yaml | 105 ++++++++++++++ data/BESIII_KA_PLUS_2p9000.yaml | 125 +++++++++++++++++ data/BESIII_KA_PLUS_3p0500.yaml | 120 ++++++++++++++++ data/BESIII_KA_PLUS_3p5000.yaml | 120 ++++++++++++++++ data/BESIII_KA_PLUS_3p6710.yaml | 130 ++++++++++++++++++ data/rawdata/kaon/BESIII/Table_KAm.csv | 25 ++++ data/rawdata/kaon/BESIII/Table_KAp.csv | 25 ++++ data/rawdata/kaon/filter.py | 181 ++++++++++++++++++++----- 19 files changed, 1918 insertions(+), 33 deletions(-) create mode 100644 data/BESIII_KA_MINUS_2p0000.yaml create mode 100644 data/BESIII_KA_MINUS_2p2000.yaml create mode 100644 data/BESIII_KA_MINUS_2p3960.yaml create mode 100644 data/BESIII_KA_MINUS_2p6444.yaml create mode 100644 data/BESIII_KA_MINUS_2p9000.yaml create mode 100644 data/BESIII_KA_MINUS_3p0500.yaml create mode 100644 data/BESIII_KA_MINUS_3p5000.yaml create mode 100644 data/BESIII_KA_MINUS_3p6710.yaml create mode 100644 data/BESIII_KA_PLUS_2p0000.yaml create mode 100644 data/BESIII_KA_PLUS_2p2000.yaml create mode 100644 data/BESIII_KA_PLUS_2p3960.yaml create mode 100644 data/BESIII_KA_PLUS_2p6444.yaml create mode 100644 data/BESIII_KA_PLUS_2p9000.yaml create mode 100644 data/BESIII_KA_PLUS_3p0500.yaml create mode 100644 data/BESIII_KA_PLUS_3p5000.yaml create mode 100644 data/BESIII_KA_PLUS_3p6710.yaml create mode 100644 data/rawdata/kaon/BESIII/Table_KAm.csv create mode 100644 data/rawdata/kaon/BESIII/Table_KAp.csv diff --git a/data/BESIII_KA_MINUS_2p0000.yaml b/data/BESIII_KA_MINUS_2p0000.yaml new file mode 100644 index 000000000..4a06891b5 --- /dev/null +++ b/data/BESIII_KA_MINUS_2p0000.yaml @@ -0,0 +1,75 @@ +dependent_variables: +- header: {title: "BESIII $K^-$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 2.0 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: KA} + - {name: charge, value: -1} + values: + - errors: + - {label: unc, value: 0.03354} + value: 0.39400 + - errors: + - {label: unc, value: 0.02377} + value: 0.45500 + - errors: + - {label: unc, value: 0.02377} + value: 0.48100 + - errors: + - {label: unc, value: 0.02377} + value: 0.47800 + - errors: + - {label: unc, value: 0.02571} + value: 0.45300 + - errors: + - {label: unc, value: 0.01393} + value: 0.35400 + - errors: + - {label: unc, value: 0.01030} + value: 0.26600 + - errors: + - {label: unc, value: 0.00640} + value: 0.18800 + - errors: + - {label: unc, value: 0.02335} + value: 0.11200 + - errors: + - {label: unc, value: 0.01552} + value: 0.07900 + - errors: + - {label: unc, value: 0.01118} + value: 0.04500 + - errors: + - {label: unc, value: 0.00640} + value: 0.01100 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.60281, low: 0.48225, value: 0.54253, factor: 0.41472} + - {high: 0.61648, low: 0.51373, value: 0.56510, factor: 0.48664} + - {high: 0.63652, low: 0.54559, value: 0.59105, factor: 0.54987} + - {high: 0.66128, low: 0.57862, value: 0.61995, factor: 0.60488} + - {high: 0.68973, low: 0.61310, value: 0.65142, factor: 0.65243} + - {high: 0.72114, low: 0.64903, value: 0.68509, factor: 0.69334} + - {high: 0.75497, low: 0.68634, value: 0.72065, factor: 0.72851} + - {high: 0.79080, low: 0.72490, value: 0.75785, factor: 0.75872} + - {high: 0.82831, low: 0.76460, value: 0.79646, factor: 0.78473} + - {high: 0.86724, low: 0.80529, value: 0.83627, factor: 0.80716} + - {high: 0.90737, low: 0.84688, value: 0.87712, factor: 0.82657} + - {high: 0.94852, low: 0.88924, value: 0.91888, factor: 0.84342} +- header: {name: "ph"} + values: + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.45000, low: 0.40000, value: 0.42500} + - {high: 0.50000, low: 0.45000, value: 0.47500} + - {high: 0.55000, low: 0.50000, value: 0.52500} + - {high: 0.60000, low: 0.55000, value: 0.57500} + - {high: 0.65000, low: 0.60000, value: 0.62500} + - {high: 0.70000, low: 0.65000, value: 0.67500} + - {high: 0.75000, low: 0.70000, value: 0.72500} + - {high: 0.80000, low: 0.75000, value: 0.77500} diff --git a/data/BESIII_KA_MINUS_2p2000.yaml b/data/BESIII_KA_MINUS_2p2000.yaml new file mode 100644 index 000000000..ba31467b2 --- /dev/null +++ b/data/BESIII_KA_MINUS_2p2000.yaml @@ -0,0 +1,85 @@ +dependent_variables: +- header: {title: "BESIII $K^-$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 2.2 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: KA} + - {name: charge, value: -1} + values: + - errors: + - {label: unc, value: 0.03437} + value: 0.29800 + - errors: + - {label: unc, value: 0.02159} + value: 0.33200 + - errors: + - {label: unc, value: 0.01393} + value: 0.34000 + - errors: + - {label: unc, value: 0.01868} + value: 0.32900 + - errors: + - {label: unc, value: 0.00985} + value: 0.32300 + - errors: + - {label: unc, value: 0.00781} + value: 0.34100 + - errors: + - {label: unc, value: 0.00806} + value: 0.32000 + - errors: + - {label: unc, value: 0.00640} + value: 0.26700 + - errors: + - {label: unc, value: 0.01170} + value: 0.21600 + - errors: + - {label: unc, value: 0.01237} + value: 0.13700 + - errors: + - {label: unc, value: 0.00762} + value: 0.09200 + - errors: + - {label: unc, value: 0.00424} + value: 0.04400 + - errors: + - {label: unc, value: 0.00985} + value: 0.03700 + - errors: + - {label: unc, value: 0.00500} + value: 0.01300 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.54801, low: 0.43841, value: 0.49321, factor: 0.37702} + - {high: 0.56043, low: 0.46703, value: 0.51373, factor: 0.44240} + - {high: 0.57865, low: 0.49599, value: 0.53732, factor: 0.49988} + - {high: 0.60117, low: 0.52602, value: 0.56359, factor: 0.54989} + - {high: 0.62703, low: 0.55736, value: 0.59220, factor: 0.59311} + - {high: 0.65558, low: 0.59003, value: 0.62280, factor: 0.63031} + - {high: 0.68634, low: 0.62394, value: 0.65514, factor: 0.66228} + - {high: 0.71891, low: 0.65900, value: 0.68896, factor: 0.68975} + - {high: 0.75301, low: 0.69509, value: 0.72405, factor: 0.71339} + - {high: 0.78840, low: 0.73209, value: 0.76024, factor: 0.73378} + - {high: 0.82488, low: 0.76989, value: 0.79738, factor: 0.75142} + - {high: 0.86229, low: 0.80840, value: 0.83535, factor: 0.76674} + - {high: 0.90051, low: 0.84754, value: 0.87402, factor: 0.78009} + - {high: 0.93942, low: 0.88723, value: 0.91333, factor: 0.79176} +- header: {name: "ph"} + values: + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.45000, low: 0.40000, value: 0.42500} + - {high: 0.50000, low: 0.45000, value: 0.47500} + - {high: 0.55000, low: 0.50000, value: 0.52500} + - {high: 0.60000, low: 0.55000, value: 0.57500} + - {high: 0.65000, low: 0.60000, value: 0.62500} + - {high: 0.70000, low: 0.65000, value: 0.67500} + - {high: 0.75000, low: 0.70000, value: 0.72500} + - {high: 0.80000, low: 0.75000, value: 0.77500} + - {high: 0.85000, low: 0.80000, value: 0.82500} + - {high: 0.90000, low: 0.85000, value: 0.87500} diff --git a/data/BESIII_KA_MINUS_2p3960.yaml b/data/BESIII_KA_MINUS_2p3960.yaml new file mode 100644 index 000000000..3d154a988 --- /dev/null +++ b/data/BESIII_KA_MINUS_2p3960.yaml @@ -0,0 +1,100 @@ +dependent_variables: +- header: {title: "BESIII $K^-$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 2.396 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: KA} + - {name: charge, value: -1} + values: + - errors: + - {label: unc, value: 0.03506} + value: 0.29800 + - errors: + - {label: unc, value: 0.01811} + value: 0.32900 + - errors: + - {label: unc, value: 0.01118} + value: 0.34900 + - errors: + - {label: unc, value: 0.00825} + value: 0.34100 + - errors: + - {label: unc, value: 0.00825} + value: 0.31900 + - errors: + - {label: unc, value: 0.00922} + value: 0.28700 + - errors: + - {label: unc, value: 0.00728} + value: 0.26000 + - errors: + - {label: unc, value: 0.01315} + value: 0.23900 + - errors: + - {label: unc, value: 0.00447} + value: 0.24500 + - errors: + - {label: unc, value: 0.00447} + value: 0.24600 + - errors: + - {label: unc, value: 0.00539} + value: 0.20600 + - errors: + - {label: unc, value: 0.00447} + value: 0.17300 + - errors: + - {label: unc, value: 0.00447} + value: 0.09100 + - errors: + - {label: unc, value: 0.00283} + value: 0.05000 + - errors: + - {label: unc, value: 0.00283} + value: 0.01900 + - errors: + - {label: unc, value: 0.00361} + value: 0.01600 + - errors: + - {label: unc, value: 0.00283} + value: 0.00500 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.50318, low: 0.40255, value: 0.45287, factor: 0.34618} + - {high: 0.51459, low: 0.42882, value: 0.47171, factor: 0.40621} + - {high: 0.53132, low: 0.45541, value: 0.49337, factor: 0.45899} + - {high: 0.55199, low: 0.48299, value: 0.51749, factor: 0.50491} + - {high: 0.57574, low: 0.51177, value: 0.54375, factor: 0.54460} + - {high: 0.60196, low: 0.54176, value: 0.57186, factor: 0.57875} + - {high: 0.63019, low: 0.57290, value: 0.60155, factor: 0.60810} + - {high: 0.66010, low: 0.60509, value: 0.63260, factor: 0.63332} + - {high: 0.69141, low: 0.63823, value: 0.66482, factor: 0.65503} + - {high: 0.72391, low: 0.67220, value: 0.69805, factor: 0.67376} + - {high: 0.75740, low: 0.70691, value: 0.73215, factor: 0.68996} + - {high: 0.79175, low: 0.74227, value: 0.76701, factor: 0.70402} + - {high: 0.82685, low: 0.77821, value: 0.80253, factor: 0.71628} + - {high: 0.86257, low: 0.81465, value: 0.83861, factor: 0.72700} + - {high: 0.89886, low: 0.85155, value: 0.87520, factor: 0.73641} + - {high: 0.93563, low: 0.88885, value: 0.91224, factor: 0.74470} + - {high: 0.97282, low: 0.92650, value: 0.94966, factor: 0.75204} +- header: {name: "ph"} + values: + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.45000, low: 0.40000, value: 0.42500} + - {high: 0.50000, low: 0.45000, value: 0.47500} + - {high: 0.55000, low: 0.50000, value: 0.52500} + - {high: 0.60000, low: 0.55000, value: 0.57500} + - {high: 0.65000, low: 0.60000, value: 0.62500} + - {high: 0.70000, low: 0.65000, value: 0.67500} + - {high: 0.75000, low: 0.70000, value: 0.72500} + - {high: 0.80000, low: 0.75000, value: 0.77500} + - {high: 0.85000, low: 0.80000, value: 0.82500} + - {high: 0.90000, low: 0.85000, value: 0.87500} + - {high: 0.95000, low: 0.90000, value: 0.92500} + - {high: 1.00000, low: 0.95000, value: 0.97500} + - {high: 1.05000, low: 1.00000, value: 1.02500} diff --git a/data/BESIII_KA_MINUS_2p6444.yaml b/data/BESIII_KA_MINUS_2p6444.yaml new file mode 100644 index 000000000..640b6709e --- /dev/null +++ b/data/BESIII_KA_MINUS_2p6444.yaml @@ -0,0 +1,105 @@ +dependent_variables: +- header: {title: "BESIII $K^-$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 2.6444 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: KA} + - {name: charge, value: -1} + values: + - errors: + - {label: unc, value: 0.04020} + value: 0.29700 + - errors: + - {label: unc, value: 0.02138} + value: 0.33600 + - errors: + - {label: unc, value: 0.01265} + value: 0.36400 + - errors: + - {label: unc, value: 0.01237} + value: 0.35600 + - errors: + - {label: unc, value: 0.01432} + value: 0.35400 + - errors: + - {label: unc, value: 0.02220} + value: 0.33200 + - errors: + - {label: unc, value: 0.02419} + value: 0.30200 + - errors: + - {label: unc, value: 0.02022} + value: 0.26900 + - errors: + - {label: unc, value: 0.01924} + value: 0.22500 + - errors: + - {label: unc, value: 0.01628} + value: 0.19200 + - errors: + - {label: unc, value: 0.01432} + value: 0.16400 + - errors: + - {label: unc, value: 0.01334} + value: 0.15400 + - errors: + - {label: unc, value: 0.01237} + value: 0.15100 + - errors: + - {label: unc, value: 0.00671} + value: 0.14000 + - errors: + - {label: unc, value: 0.00671} + value: 0.12400 + - errors: + - {label: unc, value: 0.00762} + value: 0.08000 + - errors: + - {label: unc, value: 0.00361} + value: 0.03500 + - errors: + - {label: unc, value: 0.00283} + value: 0.01100 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.45592, low: 0.36473, value: 0.41033, factor: 0.31366} + - {high: 0.46625, low: 0.38854, value: 0.42740, factor: 0.36805} + - {high: 0.48141, low: 0.41264, value: 0.44702, factor: 0.41587} + - {high: 0.50014, low: 0.43762, value: 0.46888, factor: 0.45748} + - {high: 0.52166, low: 0.46369, value: 0.49268, factor: 0.49344} + - {high: 0.54541, low: 0.49087, value: 0.51814, factor: 0.52439} + - {high: 0.57100, low: 0.51909, value: 0.54504, factor: 0.55098} + - {high: 0.59810, low: 0.54826, value: 0.57318, factor: 0.57383} + - {high: 0.62647, low: 0.57828, value: 0.60237, factor: 0.59350} + - {high: 0.65591, low: 0.60906, value: 0.63248, factor: 0.61047} + - {high: 0.68626, low: 0.64051, value: 0.66338, factor: 0.62515} + - {high: 0.71738, low: 0.67255, value: 0.69496, factor: 0.63789} + - {high: 0.74918, low: 0.70511, value: 0.72714, factor: 0.64899} + - {high: 0.78155, low: 0.73813, value: 0.75984, factor: 0.65871} + - {high: 0.81443, low: 0.77156, value: 0.79299, factor: 0.66723} + - {high: 0.84774, low: 0.80535, value: 0.82655, factor: 0.67475} + - {high: 0.88144, low: 0.83947, value: 0.86045, factor: 0.68140} + - {high: 0.91548, low: 0.87387, value: 0.89467, factor: 0.68730} +- header: {name: "ph"} + values: + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.45000, low: 0.40000, value: 0.42500} + - {high: 0.50000, low: 0.45000, value: 0.47500} + - {high: 0.55000, low: 0.50000, value: 0.52500} + - {high: 0.60000, low: 0.55000, value: 0.57500} + - {high: 0.65000, low: 0.60000, value: 0.62500} + - {high: 0.70000, low: 0.65000, value: 0.67500} + - {high: 0.75000, low: 0.70000, value: 0.72500} + - {high: 0.80000, low: 0.75000, value: 0.77500} + - {high: 0.85000, low: 0.80000, value: 0.82500} + - {high: 0.90000, low: 0.85000, value: 0.87500} + - {high: 0.95000, low: 0.90000, value: 0.92500} + - {high: 1.00000, low: 0.95000, value: 0.97500} + - {high: 1.05000, low: 1.00000, value: 1.02500} + - {high: 1.10000, low: 1.05000, value: 1.07500} diff --git a/data/BESIII_KA_MINUS_2p9000.yaml b/data/BESIII_KA_MINUS_2p9000.yaml new file mode 100644 index 000000000..bb2bea4f0 --- /dev/null +++ b/data/BESIII_KA_MINUS_2p9000.yaml @@ -0,0 +1,125 @@ +dependent_variables: +- header: {title: "BESIII $K^-$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 2.9 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: KA} + - {name: charge, value: -1} + values: + - errors: + - {label: unc, value: 0.04105} + value: 0.28500 + - errors: + - {label: unc, value: 0.02010} + value: 0.31900 + - errors: + - {label: unc, value: 0.01217} + value: 0.34000 + - errors: + - {label: unc, value: 0.01612} + value: 0.34600 + - errors: + - {label: unc, value: 0.02508} + value: 0.33800 + - errors: + - {label: unc, value: 0.02608} + value: 0.32700 + - errors: + - {label: unc, value: 0.02807} + value: 0.30900 + - errors: + - {label: unc, value: 0.02408} + value: 0.28400 + - errors: + - {label: unc, value: 0.01811} + value: 0.25500 + - errors: + - {label: unc, value: 0.01612} + value: 0.23200 + - errors: + - {label: unc, value: 0.01712} + value: 0.20200 + - errors: + - {label: unc, value: 0.01612} + value: 0.16900 + - errors: + - {label: unc, value: 0.01217} + value: 0.14000 + - errors: + - {label: unc, value: 0.00922} + value: 0.11400 + - errors: + - {label: unc, value: 0.00922} + value: 0.09600 + - errors: + - {label: unc, value: 0.00728} + value: 0.09000 + - errors: + - {label: unc, value: 0.00632} + value: 0.10000 + - errors: + - {label: unc, value: 0.00447} + value: 0.09100 + - errors: + - {label: unc, value: 0.00447} + value: 0.06900 + - errors: + - {label: unc, value: 0.00361} + value: 0.03100 + - errors: + - {label: unc, value: 0.00141} + value: 0.01100 + - errors: + - {label: unc, value: 0.00361} + value: 0.00900 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.41573, low: 0.33259, value: 0.37416, factor: 0.28601} + - {high: 0.42516, low: 0.35430, value: 0.38973, factor: 0.33561} + - {high: 0.43898, low: 0.37627, value: 0.40762, factor: 0.37922} + - {high: 0.45606, low: 0.39905, value: 0.42755, factor: 0.41716} + - {high: 0.47568, low: 0.42283, value: 0.44925, factor: 0.44995} + - {high: 0.49734, low: 0.44761, value: 0.47247, factor: 0.47817} + - {high: 0.52067, low: 0.47334, value: 0.49700, factor: 0.50242} + - {high: 0.54538, low: 0.49993, value: 0.52266, factor: 0.52326} + - {high: 0.57125, low: 0.52731, value: 0.54928, factor: 0.54119} + - {high: 0.59810, low: 0.55538, value: 0.57674, factor: 0.55666} + - {high: 0.62577, low: 0.58405, value: 0.60491, factor: 0.57005} + - {high: 0.65415, low: 0.61327, value: 0.63371, factor: 0.58167} + - {high: 0.68315, low: 0.64296, value: 0.66305, factor: 0.59179} + - {high: 0.71267, low: 0.67307, value: 0.69287, factor: 0.60065} + - {high: 0.74264, low: 0.70356, value: 0.72310, factor: 0.60843} + - {high: 0.77302, low: 0.73437, value: 0.75370, factor: 0.61528} + - {high: 0.80375, low: 0.76548, value: 0.78461, factor: 0.62134} + - {high: 0.83479, low: 0.79685, value: 0.81582, factor: 0.62673} + - {high: 0.86611, low: 0.82845, value: 0.84728, factor: 0.63153} + - {high: 0.89766, low: 0.86026, value: 0.87896, factor: 0.63582} + - {high: 0.92944, low: 0.89226, value: 0.91085, factor: 0.63966} + - {high: 0.96141, low: 0.92443, value: 0.94292, factor: 0.64313} +- header: {name: "ph"} + values: + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.45000, low: 0.40000, value: 0.42500} + - {high: 0.50000, low: 0.45000, value: 0.47500} + - {high: 0.55000, low: 0.50000, value: 0.52500} + - {high: 0.60000, low: 0.55000, value: 0.57500} + - {high: 0.65000, low: 0.60000, value: 0.62500} + - {high: 0.70000, low: 0.65000, value: 0.67500} + - {high: 0.75000, low: 0.70000, value: 0.72500} + - {high: 0.80000, low: 0.75000, value: 0.77500} + - {high: 0.85000, low: 0.80000, value: 0.82500} + - {high: 0.90000, low: 0.85000, value: 0.87500} + - {high: 0.95000, low: 0.90000, value: 0.92500} + - {high: 1.00000, low: 0.95000, value: 0.97500} + - {high: 1.05000, low: 1.00000, value: 1.02500} + - {high: 1.10000, low: 1.05000, value: 1.07500} + - {high: 1.15000, low: 1.10000, value: 1.12500} + - {high: 1.20000, low: 1.15000, value: 1.17500} + - {high: 1.25000, low: 1.20000, value: 1.22500} + - {high: 1.30000, low: 1.25000, value: 1.27500} diff --git a/data/BESIII_KA_MINUS_3p0500.yaml b/data/BESIII_KA_MINUS_3p0500.yaml new file mode 100644 index 000000000..f49bfb9c0 --- /dev/null +++ b/data/BESIII_KA_MINUS_3p0500.yaml @@ -0,0 +1,120 @@ +dependent_variables: +- header: {title: "BESIII $K^-$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 3.05 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: KA} + - {name: charge, value: -1} + values: + - errors: + - {label: unc, value: 0.04144} + value: 0.26800 + - errors: + - {label: unc, value: 0.03256} + value: 0.31700 + - errors: + - {label: unc, value: 0.03354} + value: 0.35900 + - errors: + - {label: unc, value: 0.03256} + value: 0.35900 + - errors: + - {label: unc, value: 0.03748} + value: 0.35100 + - errors: + - {label: unc, value: 0.04243} + value: 0.32500 + - errors: + - {label: unc, value: 0.03437} + value: 0.30500 + - errors: + - {label: unc, value: 0.03635} + value: 0.28500 + - errors: + - {label: unc, value: 0.03338} + value: 0.25700 + - errors: + - {label: unc, value: 0.03239} + value: 0.22800 + - errors: + - {label: unc, value: 0.02452} + value: 0.20200 + - errors: + - {label: unc, value: 0.02452} + value: 0.18100 + - errors: + - {label: unc, value: 0.02062} + value: 0.15500 + - errors: + - {label: unc, value: 0.02138} + value: 0.13200 + - errors: + - {label: unc, value: 0.01393} + value: 0.11900 + - errors: + - {label: unc, value: 0.01456} + value: 0.09300 + - errors: + - {label: unc, value: 0.01170} + value: 0.08000 + - errors: + - {label: unc, value: 0.00894} + value: 0.06600 + - errors: + - {label: unc, value: 0.00860} + value: 0.08800 + - errors: + - {label: unc, value: 0.01118} + value: 0.07600 + - errors: + - {label: unc, value: 0.01265} + value: 0.04700 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.39529, low: 0.31623, value: 0.35576, factor: 0.27195} + - {high: 0.40425, low: 0.33687, value: 0.37056, factor: 0.31911} + - {high: 0.41739, low: 0.35776, value: 0.38757, factor: 0.36057} + - {high: 0.43363, low: 0.37942, value: 0.40653, factor: 0.39665} + - {high: 0.45228, low: 0.40203, value: 0.42716, factor: 0.42782} + - {high: 0.47288, low: 0.42559, value: 0.44924, factor: 0.45465} + - {high: 0.49506, low: 0.45006, value: 0.47256, factor: 0.47771} + - {high: 0.51856, low: 0.47535, value: 0.49695, factor: 0.49752} + - {high: 0.54316, low: 0.50138, value: 0.52227, factor: 0.51457} + - {high: 0.56868, low: 0.52806, value: 0.54837, factor: 0.52928} + - {high: 0.59499, low: 0.55533, value: 0.57516, factor: 0.54201} + - {high: 0.62198, low: 0.58311, value: 0.60254, factor: 0.55306} + - {high: 0.64955, low: 0.61134, value: 0.63044, factor: 0.56269} + - {high: 0.67762, low: 0.63997, value: 0.65879, factor: 0.57111} + - {high: 0.70612, low: 0.66896, value: 0.68754, factor: 0.57850} + - {high: 0.73500, low: 0.69825, value: 0.71663, factor: 0.58502} + - {high: 0.76422, low: 0.72783, value: 0.74603, factor: 0.59079} + - {high: 0.79374, low: 0.75766, value: 0.77570, factor: 0.59590} + - {high: 0.82351, low: 0.78771, value: 0.80561, factor: 0.60047} + - {high: 0.85352, low: 0.81795, value: 0.83574, factor: 0.60455} + - {high: 0.88373, low: 0.84838, value: 0.86606, factor: 0.60821} +- header: {name: "ph"} + values: + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.45000, low: 0.40000, value: 0.42500} + - {high: 0.50000, low: 0.45000, value: 0.47500} + - {high: 0.55000, low: 0.50000, value: 0.52500} + - {high: 0.60000, low: 0.55000, value: 0.57500} + - {high: 0.65000, low: 0.60000, value: 0.62500} + - {high: 0.70000, low: 0.65000, value: 0.67500} + - {high: 0.75000, low: 0.70000, value: 0.72500} + - {high: 0.80000, low: 0.75000, value: 0.77500} + - {high: 0.85000, low: 0.80000, value: 0.82500} + - {high: 0.90000, low: 0.85000, value: 0.87500} + - {high: 0.95000, low: 0.90000, value: 0.92500} + - {high: 1.00000, low: 0.95000, value: 0.97500} + - {high: 1.05000, low: 1.00000, value: 1.02500} + - {high: 1.10000, low: 1.05000, value: 1.07500} + - {high: 1.15000, low: 1.10000, value: 1.12500} + - {high: 1.20000, low: 1.15000, value: 1.17500} + - {high: 1.25000, low: 1.20000, value: 1.22500} diff --git a/data/BESIII_KA_MINUS_3p5000.yaml b/data/BESIII_KA_MINUS_3p5000.yaml new file mode 100644 index 000000000..8113c8cc9 --- /dev/null +++ b/data/BESIII_KA_MINUS_3p5000.yaml @@ -0,0 +1,120 @@ +dependent_variables: +- header: {title: "BESIII $K^-$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 3.5 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: KA} + - {name: charge, value: -1} + values: + - errors: + - {label: unc, value: 0.06923} + value: 0.26200 + - errors: + - {label: unc, value: 0.06747} + value: 0.31100 + - errors: + - {label: unc, value: 0.08122} + value: 0.36800 + - errors: + - {label: unc, value: 0.07612} + value: 0.35500 + - errors: + - {label: unc, value: 0.06531} + value: 0.35800 + - errors: + - {label: unc, value: 0.05652} + value: 0.35700 + - errors: + - {label: unc, value: 0.05070} + value: 0.35400 + - errors: + - {label: unc, value: 0.03511} + value: 0.31200 + - errors: + - {label: unc, value: 0.02955} + value: 0.28400 + - errors: + - {label: unc, value: 0.02594} + value: 0.27400 + - errors: + - {label: unc, value: 0.01703} + value: 0.24100 + - errors: + - {label: unc, value: 0.01487} + value: 0.22500 + - errors: + - {label: unc, value: 0.01118} + value: 0.18900 + - errors: + - {label: unc, value: 0.01077} + value: 0.17200 + - errors: + - {label: unc, value: 0.01077} + value: 0.13600 + - errors: + - {label: unc, value: 0.01082} + value: 0.10400 + - errors: + - {label: unc, value: 0.01166} + value: 0.12300 + - errors: + - {label: unc, value: 0.01166} + value: 0.09700 + - errors: + - {label: unc, value: 0.01166} + value: 0.09500 + - errors: + - {label: unc, value: 0.01281} + value: 0.07800 + - errors: + - {label: unc, value: 0.01204} + value: 0.07000 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.34447, low: 0.27557, value: 0.31002, factor: 0.23698} + - {high: 0.35227, low: 0.29356, value: 0.32292, factor: 0.27808} + - {high: 0.36372, low: 0.31176, value: 0.33774, factor: 0.31421} + - {high: 0.37788, low: 0.33064, value: 0.35426, factor: 0.34565} + - {high: 0.39413, low: 0.35034, value: 0.37224, factor: 0.37281} + - {high: 0.41208, low: 0.37087, value: 0.39148, factor: 0.39620} + - {high: 0.43141, low: 0.39219, value: 0.41180, factor: 0.41629} + - {high: 0.45189, low: 0.41423, value: 0.43306, factor: 0.43356} + - {high: 0.47332, low: 0.43691, value: 0.45512, factor: 0.44842} + - {high: 0.49557, low: 0.46017, value: 0.47787, factor: 0.46123} + - {high: 0.51850, low: 0.48393, value: 0.50121, factor: 0.47232} + - {high: 0.54201, low: 0.50814, value: 0.52507, factor: 0.48195} + - {high: 0.56603, low: 0.53274, value: 0.54939, factor: 0.49034} + - {high: 0.59049, low: 0.55769, value: 0.57409, factor: 0.49768} + - {high: 0.61533, low: 0.58295, value: 0.59914, factor: 0.50412} + - {high: 0.64050, low: 0.60848, value: 0.62449, factor: 0.50980} + - {high: 0.66597, low: 0.63425, value: 0.65011, factor: 0.51483} + - {high: 0.69168, low: 0.66024, value: 0.67596, factor: 0.51929} + - {high: 0.71763, low: 0.68643, value: 0.70203, factor: 0.52326} + - {high: 0.74378, low: 0.71279, value: 0.72828, factor: 0.52682} + - {high: 0.77011, low: 0.73930, value: 0.75471, factor: 0.53001} +- header: {name: "ph"} + values: + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.45000, low: 0.40000, value: 0.42500} + - {high: 0.50000, low: 0.45000, value: 0.47500} + - {high: 0.55000, low: 0.50000, value: 0.52500} + - {high: 0.60000, low: 0.55000, value: 0.57500} + - {high: 0.65000, low: 0.60000, value: 0.62500} + - {high: 0.70000, low: 0.65000, value: 0.67500} + - {high: 0.75000, low: 0.70000, value: 0.72500} + - {high: 0.80000, low: 0.75000, value: 0.77500} + - {high: 0.85000, low: 0.80000, value: 0.82500} + - {high: 0.90000, low: 0.85000, value: 0.87500} + - {high: 0.95000, low: 0.90000, value: 0.92500} + - {high: 1.00000, low: 0.95000, value: 0.97500} + - {high: 1.05000, low: 1.00000, value: 1.02500} + - {high: 1.10000, low: 1.05000, value: 1.07500} + - {high: 1.15000, low: 1.10000, value: 1.12500} + - {high: 1.20000, low: 1.15000, value: 1.17500} + - {high: 1.25000, low: 1.20000, value: 1.22500} diff --git a/data/BESIII_KA_MINUS_3p6710.yaml b/data/BESIII_KA_MINUS_3p6710.yaml new file mode 100644 index 000000000..ea69fdb67 --- /dev/null +++ b/data/BESIII_KA_MINUS_3p6710.yaml @@ -0,0 +1,130 @@ +dependent_variables: +- header: {title: "BESIII $K^-$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 3.671 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: KA} + - {name: charge, value: -1} + values: + - errors: + - {label: unc, value: 0.05629} + value: 0.25600 + - errors: + - {label: unc, value: 0.05360} + value: 0.32000 + - errors: + - {label: unc, value: 0.06042} + value: 0.37800 + - errors: + - {label: unc, value: 0.05749} + value: 0.37800 + - errors: + - {label: unc, value: 0.04948} + value: 0.34400 + - errors: + - {label: unc, value: 0.04464} + value: 0.35500 + - errors: + - {label: unc, value: 0.03231} + value: 0.33800 + - errors: + - {label: unc, value: 0.02683} + value: 0.32200 + - errors: + - {label: unc, value: 0.01703} + value: 0.28000 + - errors: + - {label: unc, value: 0.01421} + value: 0.26700 + - errors: + - {label: unc, value: 0.01077} + value: 0.22800 + - errors: + - {label: unc, value: 0.01044} + value: 0.21100 + - errors: + - {label: unc, value: 0.01414} + value: 0.17800 + - errors: + - {label: unc, value: 0.01414} + value: 0.17100 + - errors: + - {label: unc, value: 0.01720} + value: 0.15400 + - errors: + - {label: unc, value: 0.01562} + value: 0.13300 + - errors: + - {label: unc, value: 0.01414} + value: 0.12300 + - errors: + - {label: unc, value: 0.01500} + value: 0.09200 + - errors: + - {label: unc, value: 0.01345} + value: 0.08400 + - errors: + - {label: unc, value: 0.01664} + value: 0.08700 + - errors: + - {label: unc, value: 0.01345} + value: 0.07200 + - errors: + - {label: unc, value: 0.01442} + value: 0.06900 + - errors: + - {label: unc, value: 0.01204} + value: 0.05600 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.32842, low: 0.26274, value: 0.29558, factor: 0.22594} + - {high: 0.33586, low: 0.27989, value: 0.30787, factor: 0.26512} + - {high: 0.34678, low: 0.29724, value: 0.32201, factor: 0.29957} + - {high: 0.36027, low: 0.31524, value: 0.33776, factor: 0.32955} + - {high: 0.37577, low: 0.33402, value: 0.35490, factor: 0.35545} + - {high: 0.39289, low: 0.35360, value: 0.37324, factor: 0.37774} + - {high: 0.41132, low: 0.37392, value: 0.39262, factor: 0.39690} + - {high: 0.43084, low: 0.39494, value: 0.41289, factor: 0.41336} + - {high: 0.45127, low: 0.41656, value: 0.43392, factor: 0.42753} + - {high: 0.47248, low: 0.43873, value: 0.45561, factor: 0.43975} + - {high: 0.49434, low: 0.46139, value: 0.47787, factor: 0.45032} + - {high: 0.51676, low: 0.48447, value: 0.50062, factor: 0.45950} + - {high: 0.53967, low: 0.50792, value: 0.52380, factor: 0.46750} + - {high: 0.56299, low: 0.53171, value: 0.54735, factor: 0.47450} + - {high: 0.58667, low: 0.55579, value: 0.57123, factor: 0.48064} + - {high: 0.61067, low: 0.58013, value: 0.59540, factor: 0.48606} + - {high: 0.63494, low: 0.60471, value: 0.61983, factor: 0.49085} + - {high: 0.65947, low: 0.62949, value: 0.64448, factor: 0.49510} + - {high: 0.68420, low: 0.65445, value: 0.66933, factor: 0.49889} + - {high: 0.70913, low: 0.67959, value: 0.69436, factor: 0.50228} + - {high: 0.73424, low: 0.70487, value: 0.71955, factor: 0.50532} + - {high: 0.75949, low: 0.73028, value: 0.74489, factor: 0.50806} + - {high: 0.78489, low: 0.75582, value: 0.77035, factor: 0.51053} +- header: {name: "ph"} + values: + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.45000, low: 0.40000, value: 0.42500} + - {high: 0.50000, low: 0.45000, value: 0.47500} + - {high: 0.55000, low: 0.50000, value: 0.52500} + - {high: 0.60000, low: 0.55000, value: 0.57500} + - {high: 0.65000, low: 0.60000, value: 0.62500} + - {high: 0.70000, low: 0.65000, value: 0.67500} + - {high: 0.75000, low: 0.70000, value: 0.72500} + - {high: 0.80000, low: 0.75000, value: 0.77500} + - {high: 0.85000, low: 0.80000, value: 0.82500} + - {high: 0.90000, low: 0.85000, value: 0.87500} + - {high: 0.95000, low: 0.90000, value: 0.92500} + - {high: 1.00000, low: 0.95000, value: 0.97500} + - {high: 1.05000, low: 1.00000, value: 1.02500} + - {high: 1.10000, low: 1.05000, value: 1.07500} + - {high: 1.15000, low: 1.10000, value: 1.12500} + - {high: 1.20000, low: 1.15000, value: 1.17500} + - {high: 1.25000, low: 1.20000, value: 1.22500} + - {high: 1.30000, low: 1.25000, value: 1.27500} + - {high: 1.35000, low: 1.30000, value: 1.32500} diff --git a/data/BESIII_KA_PLUS_2p0000.yaml b/data/BESIII_KA_PLUS_2p0000.yaml new file mode 100644 index 000000000..5eb2c8f52 --- /dev/null +++ b/data/BESIII_KA_PLUS_2p0000.yaml @@ -0,0 +1,75 @@ +dependent_variables: +- header: {title: "BESIII $K^+$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 2.0 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: KA} + - {name: charge, value: +1} + values: + - errors: + - {label: unc, value: 0.03158} + value: 0.37600 + - errors: + - {label: unc, value: 0.02474} + value: 0.44000 + - errors: + - {label: unc, value: 0.02474} + value: 0.47400 + - errors: + - {label: unc, value: 0.03256} + value: 0.46700 + - errors: + - {label: unc, value: 0.02474} + value: 0.44900 + - errors: + - {label: unc, value: 0.01868} + value: 0.35700 + - errors: + - {label: unc, value: 0.01868} + value: 0.26400 + - errors: + - {label: unc, value: 0.01360} + value: 0.18500 + - errors: + - {label: unc, value: 0.01360} + value: 0.11200 + - errors: + - {label: unc, value: 0.00894} + value: 0.07600 + - errors: + - {label: unc, value: 0.01030} + value: 0.05300 + - errors: + - {label: unc, value: 0.00640} + value: 0.01800 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.60281, low: 0.48225, value: 0.54253, factor: 0.41472} + - {high: 0.61648, low: 0.51373, value: 0.56510, factor: 0.48664} + - {high: 0.63652, low: 0.54559, value: 0.59105, factor: 0.54987} + - {high: 0.66128, low: 0.57862, value: 0.61995, factor: 0.60488} + - {high: 0.68973, low: 0.61310, value: 0.65142, factor: 0.65243} + - {high: 0.72114, low: 0.64903, value: 0.68509, factor: 0.69334} + - {high: 0.75497, low: 0.68634, value: 0.72065, factor: 0.72851} + - {high: 0.79080, low: 0.72490, value: 0.75785, factor: 0.75872} + - {high: 0.82831, low: 0.76460, value: 0.79646, factor: 0.78473} + - {high: 0.86724, low: 0.80529, value: 0.83627, factor: 0.80716} + - {high: 0.90737, low: 0.84688, value: 0.87712, factor: 0.82657} + - {high: 0.94852, low: 0.88924, value: 0.91888, factor: 0.84342} +- header: {name: "ph"} + values: + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.45000, low: 0.40000, value: 0.42500} + - {high: 0.50000, low: 0.45000, value: 0.47500} + - {high: 0.55000, low: 0.50000, value: 0.52500} + - {high: 0.60000, low: 0.55000, value: 0.57500} + - {high: 0.65000, low: 0.60000, value: 0.62500} + - {high: 0.70000, low: 0.65000, value: 0.67500} + - {high: 0.75000, low: 0.70000, value: 0.72500} + - {high: 0.80000, low: 0.75000, value: 0.77500} diff --git a/data/BESIII_KA_PLUS_2p2000.yaml b/data/BESIII_KA_PLUS_2p2000.yaml new file mode 100644 index 000000000..1971d7534 --- /dev/null +++ b/data/BESIII_KA_PLUS_2p2000.yaml @@ -0,0 +1,85 @@ +dependent_variables: +- header: {title: "BESIII $K^+$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 2.2 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: KA} + - {name: charge, value: +1} + values: + - errors: + - {label: unc, value: 0.03536} + value: 0.30300 + - errors: + - {label: unc, value: 0.01772} + value: 0.32600 + - errors: + - {label: unc, value: 0.01208} + value: 0.34000 + - errors: + - {label: unc, value: 0.01746} + value: 0.32500 + - errors: + - {label: unc, value: 0.01360} + value: 0.31300 + - errors: + - {label: unc, value: 0.01868} + value: 0.34200 + - errors: + - {label: unc, value: 0.01170} + value: 0.31300 + - errors: + - {label: unc, value: 0.00894} + value: 0.26100 + - errors: + - {label: unc, value: 0.00721} + value: 0.21900 + - errors: + - {label: unc, value: 0.00640} + value: 0.13800 + - errors: + - {label: unc, value: 0.00583} + value: 0.08600 + - errors: + - {label: unc, value: 0.00424} + value: 0.04900 + - errors: + - {label: unc, value: 0.00721} + value: 0.03200 + - errors: + - {label: unc, value: 0.00566} + value: 0.01600 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.54801, low: 0.43841, value: 0.49321, factor: 0.37702} + - {high: 0.56043, low: 0.46703, value: 0.51373, factor: 0.44240} + - {high: 0.57865, low: 0.49599, value: 0.53732, factor: 0.49988} + - {high: 0.60117, low: 0.52602, value: 0.56359, factor: 0.54989} + - {high: 0.62703, low: 0.55736, value: 0.59220, factor: 0.59311} + - {high: 0.65558, low: 0.59003, value: 0.62280, factor: 0.63031} + - {high: 0.68634, low: 0.62394, value: 0.65514, factor: 0.66228} + - {high: 0.71891, low: 0.65900, value: 0.68896, factor: 0.68975} + - {high: 0.75301, low: 0.69509, value: 0.72405, factor: 0.71339} + - {high: 0.78840, low: 0.73209, value: 0.76024, factor: 0.73378} + - {high: 0.82488, low: 0.76989, value: 0.79738, factor: 0.75142} + - {high: 0.86229, low: 0.80840, value: 0.83535, factor: 0.76674} + - {high: 0.90051, low: 0.84754, value: 0.87402, factor: 0.78009} + - {high: 0.93942, low: 0.88723, value: 0.91333, factor: 0.79176} +- header: {name: "ph"} + values: + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.45000, low: 0.40000, value: 0.42500} + - {high: 0.50000, low: 0.45000, value: 0.47500} + - {high: 0.55000, low: 0.50000, value: 0.52500} + - {high: 0.60000, low: 0.55000, value: 0.57500} + - {high: 0.65000, low: 0.60000, value: 0.62500} + - {high: 0.70000, low: 0.65000, value: 0.67500} + - {high: 0.75000, low: 0.70000, value: 0.72500} + - {high: 0.80000, low: 0.75000, value: 0.77500} + - {high: 0.85000, low: 0.80000, value: 0.82500} + - {high: 0.90000, low: 0.85000, value: 0.87500} diff --git a/data/BESIII_KA_PLUS_2p3960.yaml b/data/BESIII_KA_PLUS_2p3960.yaml new file mode 100644 index 000000000..e26efc4c4 --- /dev/null +++ b/data/BESIII_KA_PLUS_2p3960.yaml @@ -0,0 +1,100 @@ +dependent_variables: +- header: {title: "BESIII $K^+$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 2.396 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: KA} + - {name: charge, value: +1} + values: + - errors: + - {label: unc, value: 0.03606} + value: 0.29500 + - errors: + - {label: unc, value: 0.01811} + value: 0.32100 + - errors: + - {label: unc, value: 0.01118} + value: 0.34400 + - errors: + - {label: unc, value: 0.00825} + value: 0.33900 + - errors: + - {label: unc, value: 0.00728} + value: 0.31600 + - errors: + - {label: unc, value: 0.01513} + value: 0.28100 + - errors: + - {label: unc, value: 0.01118} + value: 0.25400 + - errors: + - {label: unc, value: 0.01414} + value: 0.23100 + - errors: + - {label: unc, value: 0.00728} + value: 0.24400 + - errors: + - {label: unc, value: 0.00447} + value: 0.24400 + - errors: + - {label: unc, value: 0.01020} + value: 0.20400 + - errors: + - {label: unc, value: 0.00361} + value: 0.16800 + - errors: + - {label: unc, value: 0.00539} + value: 0.09100 + - errors: + - {label: unc, value: 0.00283} + value: 0.05100 + - errors: + - {label: unc, value: 0.00283} + value: 0.02300 + - errors: + - {label: unc, value: 0.00361} + value: 0.01900 + - errors: + - {label: unc, value: 0.00224} + value: 0.00300 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.50318, low: 0.40255, value: 0.45287, factor: 0.34618} + - {high: 0.51459, low: 0.42882, value: 0.47171, factor: 0.40621} + - {high: 0.53132, low: 0.45541, value: 0.49337, factor: 0.45899} + - {high: 0.55199, low: 0.48299, value: 0.51749, factor: 0.50491} + - {high: 0.57574, low: 0.51177, value: 0.54375, factor: 0.54460} + - {high: 0.60196, low: 0.54176, value: 0.57186, factor: 0.57875} + - {high: 0.63019, low: 0.57290, value: 0.60155, factor: 0.60810} + - {high: 0.66010, low: 0.60509, value: 0.63260, factor: 0.63332} + - {high: 0.69141, low: 0.63823, value: 0.66482, factor: 0.65503} + - {high: 0.72391, low: 0.67220, value: 0.69805, factor: 0.67376} + - {high: 0.75740, low: 0.70691, value: 0.73215, factor: 0.68996} + - {high: 0.79175, low: 0.74227, value: 0.76701, factor: 0.70402} + - {high: 0.82685, low: 0.77821, value: 0.80253, factor: 0.71628} + - {high: 0.86257, low: 0.81465, value: 0.83861, factor: 0.72700} + - {high: 0.89886, low: 0.85155, value: 0.87520, factor: 0.73641} + - {high: 0.93563, low: 0.88885, value: 0.91224, factor: 0.74470} + - {high: 0.97282, low: 0.92650, value: 0.94966, factor: 0.75204} +- header: {name: "ph"} + values: + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.45000, low: 0.40000, value: 0.42500} + - {high: 0.50000, low: 0.45000, value: 0.47500} + - {high: 0.55000, low: 0.50000, value: 0.52500} + - {high: 0.60000, low: 0.55000, value: 0.57500} + - {high: 0.65000, low: 0.60000, value: 0.62500} + - {high: 0.70000, low: 0.65000, value: 0.67500} + - {high: 0.75000, low: 0.70000, value: 0.72500} + - {high: 0.80000, low: 0.75000, value: 0.77500} + - {high: 0.85000, low: 0.80000, value: 0.82500} + - {high: 0.90000, low: 0.85000, value: 0.87500} + - {high: 0.95000, low: 0.90000, value: 0.92500} + - {high: 1.00000, low: 0.95000, value: 0.97500} + - {high: 1.05000, low: 1.00000, value: 1.02500} diff --git a/data/BESIII_KA_PLUS_2p6444.yaml b/data/BESIII_KA_PLUS_2p6444.yaml new file mode 100644 index 000000000..ca7bea03a --- /dev/null +++ b/data/BESIII_KA_PLUS_2p6444.yaml @@ -0,0 +1,105 @@ +dependent_variables: +- header: {title: "BESIII $K^+$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 2.6444 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: KA} + - {name: charge, value: +1} + values: + - errors: + - {label: unc, value: 0.03722} + value: 0.28700 + - errors: + - {label: unc, value: 0.02236} + value: 0.33400 + - errors: + - {label: unc, value: 0.01170} + value: 0.34600 + - errors: + - {label: unc, value: 0.01334} + value: 0.35600 + - errors: + - {label: unc, value: 0.01628} + value: 0.34800 + - errors: + - {label: unc, value: 0.02319} + value: 0.32600 + - errors: + - {label: unc, value: 0.02419} + value: 0.30300 + - errors: + - {label: unc, value: 0.02419} + value: 0.26700 + - errors: + - {label: unc, value: 0.02419} + value: 0.22400 + - errors: + - {label: unc, value: 0.01726} + value: 0.19100 + - errors: + - {label: unc, value: 0.01432} + value: 0.16500 + - errors: + - {label: unc, value: 0.01628} + value: 0.14400 + - errors: + - {label: unc, value: 0.01044} + value: 0.15000 + - errors: + - {label: unc, value: 0.00762} + value: 0.14500 + - errors: + - {label: unc, value: 0.00500} + value: 0.12900 + - errors: + - {label: unc, value: 0.00500} + value: 0.08200 + - errors: + - {label: unc, value: 0.00361} + value: 0.03400 + - errors: + - {label: unc, value: 0.00283} + value: 0.01300 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.45592, low: 0.36473, value: 0.41033, factor: 0.31366} + - {high: 0.46625, low: 0.38854, value: 0.42740, factor: 0.36805} + - {high: 0.48141, low: 0.41264, value: 0.44702, factor: 0.41587} + - {high: 0.50014, low: 0.43762, value: 0.46888, factor: 0.45748} + - {high: 0.52166, low: 0.46369, value: 0.49268, factor: 0.49344} + - {high: 0.54541, low: 0.49087, value: 0.51814, factor: 0.52439} + - {high: 0.57100, low: 0.51909, value: 0.54504, factor: 0.55098} + - {high: 0.59810, low: 0.54826, value: 0.57318, factor: 0.57383} + - {high: 0.62647, low: 0.57828, value: 0.60237, factor: 0.59350} + - {high: 0.65591, low: 0.60906, value: 0.63248, factor: 0.61047} + - {high: 0.68626, low: 0.64051, value: 0.66338, factor: 0.62515} + - {high: 0.71738, low: 0.67255, value: 0.69496, factor: 0.63789} + - {high: 0.74918, low: 0.70511, value: 0.72714, factor: 0.64899} + - {high: 0.78155, low: 0.73813, value: 0.75984, factor: 0.65871} + - {high: 0.81443, low: 0.77156, value: 0.79299, factor: 0.66723} + - {high: 0.84774, low: 0.80535, value: 0.82655, factor: 0.67475} + - {high: 0.88144, low: 0.83947, value: 0.86045, factor: 0.68140} + - {high: 0.91548, low: 0.87387, value: 0.89467, factor: 0.68730} +- header: {name: "ph"} + values: + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.45000, low: 0.40000, value: 0.42500} + - {high: 0.50000, low: 0.45000, value: 0.47500} + - {high: 0.55000, low: 0.50000, value: 0.52500} + - {high: 0.60000, low: 0.55000, value: 0.57500} + - {high: 0.65000, low: 0.60000, value: 0.62500} + - {high: 0.70000, low: 0.65000, value: 0.67500} + - {high: 0.75000, low: 0.70000, value: 0.72500} + - {high: 0.80000, low: 0.75000, value: 0.77500} + - {high: 0.85000, low: 0.80000, value: 0.82500} + - {high: 0.90000, low: 0.85000, value: 0.87500} + - {high: 0.95000, low: 0.90000, value: 0.92500} + - {high: 1.00000, low: 0.95000, value: 0.97500} + - {high: 1.05000, low: 1.00000, value: 1.02500} + - {high: 1.10000, low: 1.05000, value: 1.07500} diff --git a/data/BESIII_KA_PLUS_2p9000.yaml b/data/BESIII_KA_PLUS_2p9000.yaml new file mode 100644 index 000000000..fe3b5a8ec --- /dev/null +++ b/data/BESIII_KA_PLUS_2p9000.yaml @@ -0,0 +1,125 @@ +dependent_variables: +- header: {title: "BESIII $K^+$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 2.9 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: KA} + - {name: charge, value: +1} + values: + - errors: + - {label: unc, value: 0.03805} + value: 0.27000 + - errors: + - {label: unc, value: 0.01910} + value: 0.31100 + - errors: + - {label: unc, value: 0.01217} + value: 0.33600 + - errors: + - {label: unc, value: 0.01513} + value: 0.34600 + - errors: + - {label: unc, value: 0.02508} + value: 0.33500 + - errors: + - {label: unc, value: 0.03306} + value: 0.32100 + - errors: + - {label: unc, value: 0.03206} + value: 0.30400 + - errors: + - {label: unc, value: 0.02608} + value: 0.28300 + - errors: + - {label: unc, value: 0.02408} + value: 0.25400 + - errors: + - {label: unc, value: 0.01811} + value: 0.22800 + - errors: + - {label: unc, value: 0.01910} + value: 0.20000 + - errors: + - {label: unc, value: 0.01414} + value: 0.16500 + - errors: + - {label: unc, value: 0.01118} + value: 0.13700 + - errors: + - {label: unc, value: 0.00825} + value: 0.11600 + - errors: + - {label: unc, value: 0.00825} + value: 0.09300 + - errors: + - {label: unc, value: 0.00608} + value: 0.08700 + - errors: + - {label: unc, value: 0.00539} + value: 0.09600 + - errors: + - {label: unc, value: 0.00447} + value: 0.08700 + - errors: + - {label: unc, value: 0.00283} + value: 0.06800 + - errors: + - {label: unc, value: 0.00283} + value: 0.03400 + - errors: + - {label: unc, value: 0.00224} + value: 0.01300 + - errors: + - {label: unc, value: 0.00283} + value: 0.01100 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.41573, low: 0.33259, value: 0.37416, factor: 0.28601} + - {high: 0.42516, low: 0.35430, value: 0.38973, factor: 0.33561} + - {high: 0.43898, low: 0.37627, value: 0.40762, factor: 0.37922} + - {high: 0.45606, low: 0.39905, value: 0.42755, factor: 0.41716} + - {high: 0.47568, low: 0.42283, value: 0.44925, factor: 0.44995} + - {high: 0.49734, low: 0.44761, value: 0.47247, factor: 0.47817} + - {high: 0.52067, low: 0.47334, value: 0.49700, factor: 0.50242} + - {high: 0.54538, low: 0.49993, value: 0.52266, factor: 0.52326} + - {high: 0.57125, low: 0.52731, value: 0.54928, factor: 0.54119} + - {high: 0.59810, low: 0.55538, value: 0.57674, factor: 0.55666} + - {high: 0.62577, low: 0.58405, value: 0.60491, factor: 0.57005} + - {high: 0.65415, low: 0.61327, value: 0.63371, factor: 0.58167} + - {high: 0.68315, low: 0.64296, value: 0.66305, factor: 0.59179} + - {high: 0.71267, low: 0.67307, value: 0.69287, factor: 0.60065} + - {high: 0.74264, low: 0.70356, value: 0.72310, factor: 0.60843} + - {high: 0.77302, low: 0.73437, value: 0.75370, factor: 0.61528} + - {high: 0.80375, low: 0.76548, value: 0.78461, factor: 0.62134} + - {high: 0.83479, low: 0.79685, value: 0.81582, factor: 0.62673} + - {high: 0.86611, low: 0.82845, value: 0.84728, factor: 0.63153} + - {high: 0.89766, low: 0.86026, value: 0.87896, factor: 0.63582} + - {high: 0.92944, low: 0.89226, value: 0.91085, factor: 0.63966} + - {high: 0.96141, low: 0.92443, value: 0.94292, factor: 0.64313} +- header: {name: "ph"} + values: + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.45000, low: 0.40000, value: 0.42500} + - {high: 0.50000, low: 0.45000, value: 0.47500} + - {high: 0.55000, low: 0.50000, value: 0.52500} + - {high: 0.60000, low: 0.55000, value: 0.57500} + - {high: 0.65000, low: 0.60000, value: 0.62500} + - {high: 0.70000, low: 0.65000, value: 0.67500} + - {high: 0.75000, low: 0.70000, value: 0.72500} + - {high: 0.80000, low: 0.75000, value: 0.77500} + - {high: 0.85000, low: 0.80000, value: 0.82500} + - {high: 0.90000, low: 0.85000, value: 0.87500} + - {high: 0.95000, low: 0.90000, value: 0.92500} + - {high: 1.00000, low: 0.95000, value: 0.97500} + - {high: 1.05000, low: 1.00000, value: 1.02500} + - {high: 1.10000, low: 1.05000, value: 1.07500} + - {high: 1.15000, low: 1.10000, value: 1.12500} + - {high: 1.20000, low: 1.15000, value: 1.17500} + - {high: 1.25000, low: 1.20000, value: 1.22500} + - {high: 1.30000, low: 1.25000, value: 1.27500} diff --git a/data/BESIII_KA_PLUS_3p0500.yaml b/data/BESIII_KA_PLUS_3p0500.yaml new file mode 100644 index 000000000..c038aeef8 --- /dev/null +++ b/data/BESIII_KA_PLUS_3p0500.yaml @@ -0,0 +1,120 @@ +dependent_variables: +- header: {title: "BESIII $K^+$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 3.05 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: KA} + - {name: charge, value: +1} + values: + - errors: + - {label: unc, value: 0.03551} + value: 0.25600 + - errors: + - {label: unc, value: 0.03551} + value: 0.31800 + - errors: + - {label: unc, value: 0.03748} + value: 0.34200 + - errors: + - {label: unc, value: 0.03354} + value: 0.35200 + - errors: + - {label: unc, value: 0.03847} + value: 0.34900 + - errors: + - {label: unc, value: 0.04045} + value: 0.32600 + - errors: + - {label: unc, value: 0.03437} + value: 0.31100 + - errors: + - {label: unc, value: 0.04627} + value: 0.28800 + - errors: + - {label: unc, value: 0.03338} + value: 0.25800 + - errors: + - {label: unc, value: 0.03140} + value: 0.23400 + - errors: + - {label: unc, value: 0.02452} + value: 0.19700 + - errors: + - {label: unc, value: 0.02256} + value: 0.18100 + - errors: + - {label: unc, value: 0.02452} + value: 0.16300 + - errors: + - {label: unc, value: 0.02040} + value: 0.12700 + - errors: + - {label: unc, value: 0.01746} + value: 0.11500 + - errors: + - {label: unc, value: 0.01456} + value: 0.09300 + - errors: + - {label: unc, value: 0.01077} + value: 0.08000 + - errors: + - {label: unc, value: 0.01077} + value: 0.07300 + - errors: + - {label: unc, value: 0.00985} + value: 0.08200 + - errors: + - {label: unc, value: 0.00943} + value: 0.07000 + - errors: + - {label: unc, value: 0.00806} + value: 0.05400 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.39529, low: 0.31623, value: 0.35576, factor: 0.27195} + - {high: 0.40425, low: 0.33687, value: 0.37056, factor: 0.31911} + - {high: 0.41739, low: 0.35776, value: 0.38757, factor: 0.36057} + - {high: 0.43363, low: 0.37942, value: 0.40653, factor: 0.39665} + - {high: 0.45228, low: 0.40203, value: 0.42716, factor: 0.42782} + - {high: 0.47288, low: 0.42559, value: 0.44924, factor: 0.45465} + - {high: 0.49506, low: 0.45006, value: 0.47256, factor: 0.47771} + - {high: 0.51856, low: 0.47535, value: 0.49695, factor: 0.49752} + - {high: 0.54316, low: 0.50138, value: 0.52227, factor: 0.51457} + - {high: 0.56868, low: 0.52806, value: 0.54837, factor: 0.52928} + - {high: 0.59499, low: 0.55533, value: 0.57516, factor: 0.54201} + - {high: 0.62198, low: 0.58311, value: 0.60254, factor: 0.55306} + - {high: 0.64955, low: 0.61134, value: 0.63044, factor: 0.56269} + - {high: 0.67762, low: 0.63997, value: 0.65879, factor: 0.57111} + - {high: 0.70612, low: 0.66896, value: 0.68754, factor: 0.57850} + - {high: 0.73500, low: 0.69825, value: 0.71663, factor: 0.58502} + - {high: 0.76422, low: 0.72783, value: 0.74603, factor: 0.59079} + - {high: 0.79374, low: 0.75766, value: 0.77570, factor: 0.59590} + - {high: 0.82351, low: 0.78771, value: 0.80561, factor: 0.60047} + - {high: 0.85352, low: 0.81795, value: 0.83574, factor: 0.60455} + - {high: 0.88373, low: 0.84838, value: 0.86606, factor: 0.60821} +- header: {name: "ph"} + values: + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.45000, low: 0.40000, value: 0.42500} + - {high: 0.50000, low: 0.45000, value: 0.47500} + - {high: 0.55000, low: 0.50000, value: 0.52500} + - {high: 0.60000, low: 0.55000, value: 0.57500} + - {high: 0.65000, low: 0.60000, value: 0.62500} + - {high: 0.70000, low: 0.65000, value: 0.67500} + - {high: 0.75000, low: 0.70000, value: 0.72500} + - {high: 0.80000, low: 0.75000, value: 0.77500} + - {high: 0.85000, low: 0.80000, value: 0.82500} + - {high: 0.90000, low: 0.85000, value: 0.87500} + - {high: 0.95000, low: 0.90000, value: 0.92500} + - {high: 1.00000, low: 0.95000, value: 0.97500} + - {high: 1.05000, low: 1.00000, value: 1.02500} + - {high: 1.10000, low: 1.05000, value: 1.07500} + - {high: 1.15000, low: 1.10000, value: 1.12500} + - {high: 1.20000, low: 1.15000, value: 1.17500} + - {high: 1.25000, low: 1.20000, value: 1.22500} diff --git a/data/BESIII_KA_PLUS_3p5000.yaml b/data/BESIII_KA_PLUS_3p5000.yaml new file mode 100644 index 000000000..404535ac3 --- /dev/null +++ b/data/BESIII_KA_PLUS_3p5000.yaml @@ -0,0 +1,120 @@ +dependent_variables: +- header: {title: "BESIII $K^+$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 3.5 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: KA} + - {name: charge, value: +1} + values: + - errors: + - {label: unc, value: 0.06531} + value: 0.25900 + - errors: + - {label: unc, value: 0.07021} + value: 0.30700 + - errors: + - {label: unc, value: 0.08023} + value: 0.36500 + - errors: + - {label: unc, value: 0.07826} + value: 0.37800 + - errors: + - {label: unc, value: 0.07218} + value: 0.37700 + - errors: + - {label: unc, value: 0.05749} + value: 0.35400 + - errors: + - {label: unc, value: 0.04876} + value: 0.34700 + - errors: + - {label: unc, value: 0.04176} + value: 0.30100 + - errors: + - {label: unc, value: 0.02955} + value: 0.28400 + - errors: + - {label: unc, value: 0.02419} + value: 0.27600 + - errors: + - {label: unc, value: 0.01556} + value: 0.24200 + - errors: + - {label: unc, value: 0.01208} + value: 0.22300 + - errors: + - {label: unc, value: 0.01077} + value: 0.18100 + - errors: + - {label: unc, value: 0.01118} + value: 0.16300 + - errors: + - {label: unc, value: 0.01281} + value: 0.13900 + - errors: + - {label: unc, value: 0.01118} + value: 0.11800 + - errors: + - {label: unc, value: 0.01221} + value: 0.11200 + - errors: + - {label: unc, value: 0.01281} + value: 0.09300 + - errors: + - {label: unc, value: 0.01487} + value: 0.08900 + - errors: + - {label: unc, value: 0.01140} + value: 0.06600 + - errors: + - {label: unc, value: 0.01273} + value: 0.08300 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.34447, low: 0.27557, value: 0.31002, factor: 0.23698} + - {high: 0.35227, low: 0.29356, value: 0.32292, factor: 0.27808} + - {high: 0.36372, low: 0.31176, value: 0.33774, factor: 0.31421} + - {high: 0.37788, low: 0.33064, value: 0.35426, factor: 0.34565} + - {high: 0.39413, low: 0.35034, value: 0.37224, factor: 0.37281} + - {high: 0.41208, low: 0.37087, value: 0.39148, factor: 0.39620} + - {high: 0.43141, low: 0.39219, value: 0.41180, factor: 0.41629} + - {high: 0.45189, low: 0.41423, value: 0.43306, factor: 0.43356} + - {high: 0.47332, low: 0.43691, value: 0.45512, factor: 0.44842} + - {high: 0.49557, low: 0.46017, value: 0.47787, factor: 0.46123} + - {high: 0.51850, low: 0.48393, value: 0.50121, factor: 0.47232} + - {high: 0.54201, low: 0.50814, value: 0.52507, factor: 0.48195} + - {high: 0.56603, low: 0.53274, value: 0.54939, factor: 0.49034} + - {high: 0.59049, low: 0.55769, value: 0.57409, factor: 0.49768} + - {high: 0.61533, low: 0.58295, value: 0.59914, factor: 0.50412} + - {high: 0.64050, low: 0.60848, value: 0.62449, factor: 0.50980} + - {high: 0.66597, low: 0.63425, value: 0.65011, factor: 0.51483} + - {high: 0.69168, low: 0.66024, value: 0.67596, factor: 0.51929} + - {high: 0.71763, low: 0.68643, value: 0.70203, factor: 0.52326} + - {high: 0.74378, low: 0.71279, value: 0.72828, factor: 0.52682} + - {high: 0.77011, low: 0.73930, value: 0.75471, factor: 0.53001} +- header: {name: "ph"} + values: + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.45000, low: 0.40000, value: 0.42500} + - {high: 0.50000, low: 0.45000, value: 0.47500} + - {high: 0.55000, low: 0.50000, value: 0.52500} + - {high: 0.60000, low: 0.55000, value: 0.57500} + - {high: 0.65000, low: 0.60000, value: 0.62500} + - {high: 0.70000, low: 0.65000, value: 0.67500} + - {high: 0.75000, low: 0.70000, value: 0.72500} + - {high: 0.80000, low: 0.75000, value: 0.77500} + - {high: 0.85000, low: 0.80000, value: 0.82500} + - {high: 0.90000, low: 0.85000, value: 0.87500} + - {high: 0.95000, low: 0.90000, value: 0.92500} + - {high: 1.00000, low: 0.95000, value: 0.97500} + - {high: 1.05000, low: 1.00000, value: 1.02500} + - {high: 1.10000, low: 1.05000, value: 1.07500} + - {high: 1.15000, low: 1.10000, value: 1.12500} + - {high: 1.20000, low: 1.15000, value: 1.17500} + - {high: 1.25000, low: 1.20000, value: 1.22500} diff --git a/data/BESIII_KA_PLUS_3p6710.yaml b/data/BESIII_KA_PLUS_3p6710.yaml new file mode 100644 index 000000000..be4cfc80f --- /dev/null +++ b/data/BESIII_KA_PLUS_3p6710.yaml @@ -0,0 +1,130 @@ +dependent_variables: +- header: {title: "BESIII $K^+$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 3.671 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: KA} + - {name: charge, value: +1} + values: + - errors: + - {label: unc, value: 0.05120} + value: 0.22200 + - errors: + - {label: unc, value: 0.04948} + value: 0.27000 + - errors: + - {label: unc, value: 0.05825} + value: 0.33600 + - errors: + - {label: unc, value: 0.05337} + value: 0.35000 + - errors: + - {label: unc, value: 0.05457} + value: 0.37500 + - errors: + - {label: unc, value: 0.04176} + value: 0.36100 + - errors: + - {label: unc, value: 0.03231} + value: 0.32300 + - errors: + - {label: unc, value: 0.02550} + value: 0.30700 + - errors: + - {label: unc, value: 0.01942} + value: 0.29700 + - errors: + - {label: unc, value: 0.01253} + value: 0.27400 + - errors: + - {label: unc, value: 0.01208} + value: 0.26400 + - errors: + - {label: unc, value: 0.01166} + value: 0.20200 + - errors: + - {label: unc, value: 0.01345} + value: 0.19900 + - errors: + - {label: unc, value: 0.01487} + value: 0.16800 + - errors: + - {label: unc, value: 0.01487} + value: 0.15300 + - errors: + - {label: unc, value: 0.01345} + value: 0.14400 + - errors: + - {label: unc, value: 0.01581} + value: 0.12100 + - errors: + - {label: unc, value: 0.01664} + value: 0.11100 + - errors: + - {label: unc, value: 0.02059} + value: 0.10700 + - errors: + - {label: unc, value: 0.01500} + value: 0.09000 + - errors: + - {label: unc, value: 0.01442} + value: 0.07800 + - errors: + - {label: unc, value: 0.01204} + value: 0.06500 + - errors: + - {label: unc, value: 0.01140} + value: 0.05100 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.32842, low: 0.26274, value: 0.29558, factor: 0.22594} + - {high: 0.33586, low: 0.27989, value: 0.30787, factor: 0.26512} + - {high: 0.34678, low: 0.29724, value: 0.32201, factor: 0.29957} + - {high: 0.36027, low: 0.31524, value: 0.33776, factor: 0.32955} + - {high: 0.37577, low: 0.33402, value: 0.35490, factor: 0.35545} + - {high: 0.39289, low: 0.35360, value: 0.37324, factor: 0.37774} + - {high: 0.41132, low: 0.37392, value: 0.39262, factor: 0.39690} + - {high: 0.43084, low: 0.39494, value: 0.41289, factor: 0.41336} + - {high: 0.45127, low: 0.41656, value: 0.43392, factor: 0.42753} + - {high: 0.47248, low: 0.43873, value: 0.45561, factor: 0.43975} + - {high: 0.49434, low: 0.46139, value: 0.47787, factor: 0.45032} + - {high: 0.51676, low: 0.48447, value: 0.50062, factor: 0.45950} + - {high: 0.53967, low: 0.50792, value: 0.52380, factor: 0.46750} + - {high: 0.56299, low: 0.53171, value: 0.54735, factor: 0.47450} + - {high: 0.58667, low: 0.55579, value: 0.57123, factor: 0.48064} + - {high: 0.61067, low: 0.58013, value: 0.59540, factor: 0.48606} + - {high: 0.63494, low: 0.60471, value: 0.61983, factor: 0.49085} + - {high: 0.65947, low: 0.62949, value: 0.64448, factor: 0.49510} + - {high: 0.68420, low: 0.65445, value: 0.66933, factor: 0.49889} + - {high: 0.70913, low: 0.67959, value: 0.69436, factor: 0.50228} + - {high: 0.73424, low: 0.70487, value: 0.71955, factor: 0.50532} + - {high: 0.75949, low: 0.73028, value: 0.74489, factor: 0.50806} + - {high: 0.78489, low: 0.75582, value: 0.77035, factor: 0.51053} +- header: {name: "ph"} + values: + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.45000, low: 0.40000, value: 0.42500} + - {high: 0.50000, low: 0.45000, value: 0.47500} + - {high: 0.55000, low: 0.50000, value: 0.52500} + - {high: 0.60000, low: 0.55000, value: 0.57500} + - {high: 0.65000, low: 0.60000, value: 0.62500} + - {high: 0.70000, low: 0.65000, value: 0.67500} + - {high: 0.75000, low: 0.70000, value: 0.72500} + - {high: 0.80000, low: 0.75000, value: 0.77500} + - {high: 0.85000, low: 0.80000, value: 0.82500} + - {high: 0.90000, low: 0.85000, value: 0.87500} + - {high: 0.95000, low: 0.90000, value: 0.92500} + - {high: 1.00000, low: 0.95000, value: 0.97500} + - {high: 1.05000, low: 1.00000, value: 1.02500} + - {high: 1.10000, low: 1.05000, value: 1.07500} + - {high: 1.15000, low: 1.10000, value: 1.12500} + - {high: 1.20000, low: 1.15000, value: 1.17500} + - {high: 1.25000, low: 1.20000, value: 1.22500} + - {high: 1.30000, low: 1.25000, value: 1.27500} + - {high: 1.35000, low: 1.30000, value: 1.32500} diff --git a/data/rawdata/kaon/BESIII/Table_KAm.csv b/data/rawdata/kaon/BESIII/Table_KAm.csv new file mode 100644 index 000000000..73e4169c6 --- /dev/null +++ b/data/rawdata/kaon/BESIII/Table_KAm.csv @@ -0,0 +1,25 @@ +pt min,pt_max,cv,stat,syst,cv,stat,syst,cv,stat,syst,cv,stat,syst,cv,stat,syst,cv,stat,syst,cv,stat,syst,cv,stat,syst +,,2,,,2.2,,,2.396,,,2.6444,,,2.9,,,3.05,,,3.5,,,3.671,, +0.2,0.25,0.394,0.006,0.033,0.298,0.005,0.034,0.298,0.002,0.035,0.297,0.004,0.04,0.285,0.002,0.041,0.268,0.006,0.041,0.262,0.013,0.068,0.256,0.012,0.055 +0.25,0.3,0.455,0.006,0.023,0.332,0.005,0.021,0.329,0.002,0.018,0.336,0.004,0.021,0.319,0.002,0.02,0.317,0.006,0.032,0.311,0.014,0.066,0.32,0.013,0.052 +0.3,0.35,0.481,0.006,0.023,0.34,0.005,0.013,0.349,0.002,0.011,0.364,0.004,0.012,0.34,0.002,0.012,0.359,0.006,0.033,0.368,0.014,0.08,0.378,0.013,0.059 +0.35,0.4,0.478,0.006,0.023,0.329,0.005,0.018,0.341,0.002,0.008,0.356,0.003,0.012,0.346,0.002,0.016,0.359,0.006,0.032,0.355,0.013,0.075,0.378,0.013,0.056 +0.4,0.45,0.453,0.006,0.025,0.323,0.004,0.009,0.319,0.002,0.008,0.354,0.003,0.014,0.338,0.002,0.025,0.351,0.006,0.037,0.358,0.013,0.064,0.344,0.012,0.048 +0.45,0.5,0.354,0.005,0.013,0.341,0.005,0.006,0.287,0.002,0.009,0.332,0.003,0.022,0.327,0.002,0.026,0.325,0.006,0.042,0.357,0.013,0.055,0.355,0.012,0.043 +0.5,0.55,0.266,0.005,0.009,0.32,0.004,0.007,0.26,0.002,0.007,0.302,0.003,0.024,0.309,0.002,0.028,0.305,0.005,0.034,0.354,0.013,0.049,0.338,0.012,0.03 +0.55,0.6,0.188,0.004,0.005,0.267,0.004,0.005,0.239,0.002,0.013,0.269,0.003,0.02,0.284,0.002,0.024,0.285,0.005,0.036,0.312,0.012,0.033,0.322,0.012,0.024 +0.6,0.65,0.112,0.004,0.023,0.216,0.004,0.011,0.245,0.002,0.004,0.225,0.003,0.019,0.255,0.002,0.018,0.257,0.005,0.033,0.284,0.012,0.027,0.28,0.011,0.013 +0.65,0.7,0.079,0.004,0.015,0.137,0.003,0.012,0.246,0.002,0.004,0.192,0.003,0.016,0.232,0.002,0.016,0.228,0.005,0.032,0.274,0.012,0.023,0.267,0.011,0.009 +0.7,0.75,0.045,0.005,0.01,0.092,0.003,0.007,0.206,0.002,0.005,0.164,0.003,0.014,0.202,0.002,0.017,0.202,0.005,0.024,0.241,0.011,0.013,0.228,0.01,0.004 +0.75,0.8,0.011,0.005,0.004,0.044,0.003,0.003,0.173,0.002,0.004,0.154,0.003,0.013,0.169,0.002,0.016,0.181,0.005,0.024,0.225,0.011,0.01,0.211,0.01,0.003 +0.8,0.85,0,0,0,0.037,0.004,0.009,0.091,0.002,0.004,0.151,0.003,0.012,0.14,0.002,0.012,0.155,0.005,0.02,0.189,0.01,0.005,0.178,0.01,0.01 +0.85,0.9,0,0,0,0.013,0.004,0.003,0.05,0.002,0.002,0.14,0.003,0.006,0.114,0.002,0.009,0.132,0.004,0.021,0.172,0.01,0.004,0.171,0.01,0.01 +0.9,0.95,0,0,0,0,0,0,0.019,0.002,0.002,0.124,0.003,0.006,0.096,0.002,0.009,0.119,0.005,0.013,0.136,0.01,0.004,0.154,0.01,0.014 +0.95,1,0,0,0,0,0,0,0.016,0.002,0.003,0.08,0.003,0.007,0.09,0.002,0.007,0.093,0.004,0.014,0.104,0.009,0.006,0.133,0.01,0.012 +1,1.05,0,0,0,0,0,0,0.005,0.002,0.002,0.035,0.003,0.002,0.1,0.002,0.006,0.08,0.004,0.011,0.123,0.01,0.006,0.123,0.01,0.01 +1.05,1.1,0,0,0,0,0,0,0,0,0,0.011,0.002,0.002,0.091,0.002,0.004,0.066,0.004,0.008,0.097,0.01,0.006,0.092,0.009,0.012 +1.1,1.15,0,0,0,0,0,0,0,0,0,0,0,0,0.069,0.002,0.004,0.088,0.005,0.007,0.095,0.01,0.006,0.084,0.009,0.01 +1.15,1.2,0,0,0,0,0,0,0,0,0,0,0,0,0.031,0.002,0.003,0.076,0.005,0.01,0.078,0.01,0.008,0.087,0.009,0.014 +1.2,1.25,0,0,0,0,0,0,0,0,0,0,0,0,0.011,0.001,0.001,0.047,0.004,0.012,0.07,0.009,0.008,0.072,0.009,0.01 +1.25,1.3,0,0,0,0,0,0,0,0,0,0,0,0,0.009,0.002,0.003,0,0,0,0,0,0,0.069,0.008,0.012 +1.3,1.35,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.056,0.008,0.009 diff --git a/data/rawdata/kaon/BESIII/Table_KAp.csv b/data/rawdata/kaon/BESIII/Table_KAp.csv new file mode 100644 index 000000000..1c9f7e2ac --- /dev/null +++ b/data/rawdata/kaon/BESIII/Table_KAp.csv @@ -0,0 +1,25 @@ +pt min,pt_max,cv,stat,syst,cv,stat,syst,cv,stat,syst,cv,stat,syst,cv,stat,syst,cv,stat,syst,cv,stat,syst,cv,stat,syst +,,2,,,2.2,,,2.396,,,2.6444,,,2.9,,,3.05,,,3.5,,,3.671,, +0.2,0.25,0.376,0.006,0.031,0.303,0.005,0.035,0.295,0.002,0.036,0.287,0.004,0.037,0.27,0.002,0.038,0.256,0.006,0.035,0.259,0.013,0.064,0.222,0.011,0.05 +0.25,0.3,0.44,0.006,0.024,0.326,0.005,0.017,0.321,0.002,0.018,0.334,0.004,0.022,0.311,0.002,0.019,0.318,0.006,0.035,0.307,0.013,0.069,0.27,0.012,0.048 +0.3,0.35,0.474,0.006,0.024,0.34,0.005,0.011,0.344,0.002,0.011,0.346,0.004,0.011,0.336,0.002,0.012,0.342,0.006,0.037,0.365,0.014,0.079,0.336,0.012,0.057 +0.35,0.4,0.467,0.006,0.032,0.325,0.004,0.017,0.339,0.002,0.008,0.356,0.003,0.013,0.346,0.002,0.015,0.352,0.006,0.033,0.378,0.014,0.077,0.35,0.012,0.052 +0.4,0.45,0.449,0.006,0.024,0.313,0.004,0.013,0.316,0.002,0.007,0.348,0.003,0.016,0.335,0.002,0.025,0.349,0.006,0.038,0.377,0.013,0.071,0.375,0.013,0.053 +0.45,0.5,0.357,0.005,0.018,0.342,0.005,0.018,0.281,0.002,0.015,0.326,0.003,0.023,0.321,0.002,0.033,0.326,0.006,0.04,0.354,0.013,0.056,0.361,0.012,0.04 +0.5,0.55,0.264,0.005,0.018,0.313,0.004,0.011,0.254,0.002,0.011,0.303,0.003,0.024,0.304,0.002,0.032,0.311,0.005,0.034,0.347,0.013,0.047,0.323,0.012,0.03 +0.55,0.6,0.185,0.004,0.013,0.261,0.004,0.008,0.231,0.002,0.014,0.267,0.003,0.024,0.283,0.002,0.026,0.288,0.005,0.046,0.301,0.012,0.04,0.307,0.011,0.023 +0.6,0.65,0.112,0.004,0.013,0.219,0.004,0.006,0.244,0.002,0.007,0.224,0.003,0.024,0.254,0.002,0.024,0.258,0.005,0.033,0.284,0.012,0.027,0.297,0.011,0.016 +0.65,0.7,0.076,0.004,0.008,0.138,0.004,0.005,0.244,0.002,0.004,0.191,0.003,0.017,0.228,0.002,0.018,0.234,0.005,0.031,0.276,0.012,0.021,0.274,0.011,0.006 +0.7,0.75,0.053,0.005,0.009,0.086,0.003,0.005,0.204,0.002,0.01,0.165,0.003,0.014,0.2,0.002,0.019,0.197,0.005,0.024,0.242,0.011,0.011,0.264,0.011,0.005 +0.75,0.8,0.018,0.005,0.004,0.049,0.003,0.003,0.168,0.002,0.003,0.144,0.003,0.016,0.165,0.002,0.014,0.181,0.005,0.022,0.223,0.011,0.005,0.202,0.01,0.006 +0.8,0.85,0,0,0,0.032,0.004,0.006,0.091,0.002,0.005,0.15,0.003,0.01,0.137,0.002,0.011,0.163,0.005,0.024,0.181,0.01,0.004,0.199,0.01,0.009 +0.85,0.9,0,0,0,0.016,0.004,0.004,0.051,0.002,0.002,0.145,0.003,0.007,0.116,0.002,0.008,0.127,0.004,0.02,0.163,0.01,0.005,0.168,0.01,0.011 +0.9,0.95,0,0,0,0,0,0,0.023,0.002,0.002,0.129,0.003,0.004,0.093,0.002,0.008,0.115,0.004,0.017,0.139,0.01,0.008,0.153,0.01,0.011 +0.95,1,0,0,0,0,0,0,0.019,0.002,0.003,0.082,0.003,0.004,0.087,0.001,0.006,0.093,0.004,0.014,0.118,0.01,0.005,0.144,0.01,0.009 +1,1.05,0,0,0,0,0,0,0.003,0.002,0.001,0.034,0.002,0.003,0.096,0.002,0.005,0.08,0.004,0.01,0.112,0.01,0.007,0.121,0.009,0.013 +1.05,1.1,0,0,0,0,0,0,0,0,0,0.013,0.002,0.002,0.087,0.002,0.004,0.073,0.004,0.01,0.093,0.01,0.008,0.111,0.009,0.014 +1.1,1.15,0,0,0,0,0,0,0,0,0,0,0,0,0.068,0.002,0.002,0.082,0.004,0.009,0.089,0.01,0.011,0.107,0.01,0.018 +1.15,1.2,0,0,0,0,0,0,0,0,0,0,0,0,0.034,0.002,0.002,0.07,0.005,0.008,0.066,0.009,0.007,0.09,0.009,0.012 +1.2,1.25,0,0,0,0,0,0,0,0,0,0,0,0,0.013,0.001,0.002,0.054,0.004,0.007,0.083,0.009,0.009,0.078,0.008,0.012 +1.25,1.3,0,0,0,0,0,0,0,0,0,0,0,0,0.011,0.002,0.002,0,0,0,0,0,0,0.065,0.008,0.009 +1.3,1.35,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.051,0.007,0.009 diff --git a/data/rawdata/kaon/filter.py b/data/rawdata/kaon/filter.py index d13fe096b..faaf2e75b 100644 --- a/data/rawdata/kaon/filter.py +++ b/data/rawdata/kaon/filter.py @@ -5,6 +5,150 @@ mKA = 0.493677 # GeV +# BESIII - inclusive KA+ +def filter_BESIII_KAp(): + nameexps = ['BESIII_KA_PLUS_2p0000', + 'BESIII_KA_PLUS_2p2000', + 'BESIII_KA_PLUS_2p3960', + 'BESIII_KA_PLUS_2p6444', + 'BESIII_KA_PLUS_2p9000', + 'BESIII_KA_PLUS_3p0500', + 'BESIII_KA_PLUS_3p5000', + 'BESIII_KA_PLUS_3p6710'] + infile = 'BESIII/Table_KAp.csv' + ndata = [12, 14, 17, 18, 22, 21, 21, 23] + cme = [2.0000, 2.2000, 2.3960, 2.6444, 2.9000, 3.0500, 3.5000, 3.6710] #GeV + zmin = 0.011 # to be checked + zmax = 0.800 # to be checked + + l = 0 + i = 2 + j = 3 + k = 4 + + for nameexp in nameexps: + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=2, + sep=',', + header=None, + usecols=[0,1,i,j,k], + engine='python') + + data = data.drop(data[data[i] == 0.].index) + cval = data[i] + stat = data[j] + syst = data[k] + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "BESIII $K^+$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme[l], ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: +1}', file=f) + print(' values:', file=f) + + for p in range(ndata[l]): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(stat.iloc[p]**2. + syst.iloc[p]**2.)), file=f) + print(' value: %7.5f' % (cval.iloc[p]), file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for p in range(ndata[l]): + factor = np.sqrt(1. + mKA**2./((data.iloc[p,0] + data.iloc[p,1])/2.)**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (2./cme[l] * factor * data.iloc[p,1], 2./cme[l] * factor * data.iloc[p,0], 2./cme[l] * factor * (data.iloc[p,0] + data.iloc[p,1])/2., 2./cme[l]/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for p in range(ndata[l]): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[p,1], data.iloc[p,0], (data.iloc[p,0]+data.iloc[p,1])/2.) , file=f) + + l = l + 1 + i = i + 3 + j = j + 3 + k = k + 3 + +# BESIII - inclusive KA- +def filter_BESIII_KAm(): + nameexps = ['BESIII_KA_MINUS_2p0000', + 'BESIII_KA_MINUS_2p2000', + 'BESIII_KA_MINUS_2p3960', + 'BESIII_KA_MINUS_2p6444', + 'BESIII_KA_MINUS_2p9000', + 'BESIII_KA_MINUS_3p0500', + 'BESIII_KA_MINUS_3p5000', + 'BESIII_KA_MINUS_3p6710'] + infile = 'BESIII/Table_KAm.csv' + ndata = [12, 14, 17, 18, 22, 21, 21, 23] + cme = [2.0000, 2.2000, 2.3960, 2.6444, 2.9000, 3.0500, 3.5000, 3.6710] #GeV + zmin = 0.011 # to be checked + zmax = 0.800 # to be checked + + l = 0 + i = 2 + j = 3 + k = 4 + + for nameexp in nameexps: + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=2, + sep=',', + header=None, + usecols=[0,1,i,j,k], + engine='python') + + data = data.drop(data[data[i] == 0.].index) + cval = data[i] + stat = data[j] + syst = data[k] + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "BESIII $K^-$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme[l], ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: KA}', file=f) + print(' - {name: charge, value: -1}', file=f) + print(' values:', file=f) + + for p in range(ndata[l]): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(stat.iloc[p]**2. + syst.iloc[p]**2.)), file=f) + print(' value: %7.5f' % (cval.iloc[p]), file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for p in range(ndata[l]): + factor = np.sqrt(1. + mKA**2./((data.iloc[p,0] + data.iloc[p,1])/2.)**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (2./cme[l] * factor * data.iloc[p,1], 2./cme[l] * factor * data.iloc[p,0], 2./cme[l] * factor * (data.iloc[p,0] + data.iloc[p,1])/2., 2./cme[l]/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for p in range(ndata[l]): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[p,1], data.iloc[p,0], (data.iloc[p,0]+data.iloc[p,1])/2.) , file=f) + + l = l + 1 + i = i + 3 + j = j + 3 + k = k + 3 + # BELLE - inclusive def filter_BELLE_KA(): nameexp = 'BELLE_KA_PLUS_MINUS' @@ -115,12 +259,7 @@ def filter_BABAR_KA_CONVENTIONAL(): for i in range(ndata): print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) - - - - - - + # BABAR - conventional inclusive (uncorrelated) def filter_BABAR_KA_CONVENTIONAL_UNCORR(): nameexp = 'BABAR_KA_PLUS_MINUS_CONVENTIONAL_UNCORR' @@ -184,33 +323,7 @@ def filter_BABAR_KA_CONVENTIONAL_UNCORR(): for i in range(ndata): print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) - - - - - - - - - - - - - - - - - - - - - - - - - - - + # BABAR - prompt inclusive def filter_BABAR_KA_PROMPT(): nameexp = 'BABAR_KA_PLUS_MINUS_PROMPT' @@ -1352,6 +1465,8 @@ def filter_COMPASS_KA_MINUS_2024(): % ((data.iloc[i,1]-data.iloc[i,0])/2.*(data.iloc[i,3]-data.iloc[i,2])/2.*cme**2.) , file=f) # Filter data +filter_BESIII_KAp() +filter_BESIII_KAm() filter_BELLE_KA() filter_BABAR_KA_CONVENTIONAL() filter_BABAR_KA_CONVENTIONAL_UNCORR() From fe87b12a992e60f71cdd79e6ef2a13b777734703 Mon Sep 17 00:00:00 2001 From: enocera Date: Mon, 16 Jun 2025 11:52:31 +0200 Subject: [PATCH 24/29] Added BESIII data for pions --- data/BESIII_PI_MINUS_2p0000.yaml | 90 +++++++++++++++ data/BESIII_PI_MINUS_2p2000.yaml | 100 +++++++++++++++++ data/BESIII_PI_MINUS_2p3960.yaml | 110 ++++++++++++++++++ data/BESIII_PI_MINUS_2p6444.yaml | 120 ++++++++++++++++++++ data/BESIII_PI_MINUS_2p9000.yaml | 130 +++++++++++++++++++++ data/BESIII_PI_MINUS_3p0500.yaml | 135 ++++++++++++++++++++++ data/BESIII_PI_MINUS_3p5000.yaml | 140 +++++++++++++++++++++++ data/BESIII_PI_MINUS_3p6710.yaml | 140 +++++++++++++++++++++++ data/BESIII_PI_PLUS_2p0000.yaml | 90 +++++++++++++++ data/BESIII_PI_PLUS_2p2000.yaml | 100 +++++++++++++++++ data/BESIII_PI_PLUS_2p3960.yaml | 110 ++++++++++++++++++ data/BESIII_PI_PLUS_2p6444.yaml | 120 ++++++++++++++++++++ data/BESIII_PI_PLUS_2p9000.yaml | 130 +++++++++++++++++++++ data/BESIII_PI_PLUS_3p0500.yaml | 135 ++++++++++++++++++++++ data/BESIII_PI_PLUS_3p5000.yaml | 140 +++++++++++++++++++++++ data/BESIII_PI_PLUS_3p6710.yaml | 140 +++++++++++++++++++++++ data/rawdata/pion/BESIII/Table_PIm.csv | 27 +++++ data/rawdata/pion/BESIII/Table_PIp.csv | 27 +++++ data/rawdata/pion/filter.py | 150 ++++++++++++++++++++++++- 19 files changed, 2132 insertions(+), 2 deletions(-) create mode 100644 data/BESIII_PI_MINUS_2p0000.yaml create mode 100644 data/BESIII_PI_MINUS_2p2000.yaml create mode 100644 data/BESIII_PI_MINUS_2p3960.yaml create mode 100644 data/BESIII_PI_MINUS_2p6444.yaml create mode 100644 data/BESIII_PI_MINUS_2p9000.yaml create mode 100644 data/BESIII_PI_MINUS_3p0500.yaml create mode 100644 data/BESIII_PI_MINUS_3p5000.yaml create mode 100644 data/BESIII_PI_MINUS_3p6710.yaml create mode 100644 data/BESIII_PI_PLUS_2p0000.yaml create mode 100644 data/BESIII_PI_PLUS_2p2000.yaml create mode 100644 data/BESIII_PI_PLUS_2p3960.yaml create mode 100644 data/BESIII_PI_PLUS_2p6444.yaml create mode 100644 data/BESIII_PI_PLUS_2p9000.yaml create mode 100644 data/BESIII_PI_PLUS_3p0500.yaml create mode 100644 data/BESIII_PI_PLUS_3p5000.yaml create mode 100644 data/BESIII_PI_PLUS_3p6710.yaml create mode 100644 data/rawdata/pion/BESIII/Table_PIm.csv create mode 100644 data/rawdata/pion/BESIII/Table_PIp.csv diff --git a/data/BESIII_PI_MINUS_2p0000.yaml b/data/BESIII_PI_MINUS_2p0000.yaml new file mode 100644 index 000000000..10da88681 --- /dev/null +++ b/data/BESIII_PI_MINUS_2p0000.yaml @@ -0,0 +1,90 @@ +dependent_variables: +- header: {title: "BESIII $\pi^-$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 2.0 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: PI} + - {name: charge, value: -1} + values: + - errors: + - {label: unc, value: 0.08220} + value: 3.06200 + - errors: + - {label: unc, value: 0.10692} + value: 3.23000 + - errors: + - {label: unc, value: 0.11871} + value: 3.07700 + - errors: + - {label: unc, value: 0.09972} + value: 2.70800 + - errors: + - {label: unc, value: 0.07185} + value: 2.26700 + - errors: + - {label: unc, value: 0.03353} + value: 1.84700 + - errors: + - {label: unc, value: 0.01836} + value: 1.51900 + - errors: + - {label: unc, value: 0.06748} + value: 1.24400 + - errors: + - {label: unc, value: 0.10124} + value: 0.93200 + - errors: + - {label: unc, value: 0.07234} + value: 0.79100 + - errors: + - {label: unc, value: 0.05235} + value: 0.61000 + - errors: + - {label: unc, value: 0.03635} + value: 0.40300 + - errors: + - {label: unc, value: 0.01118} + value: 0.25700 + - errors: + - {label: unc, value: 0.02532} + value: 0.16000 + - errors: + - {label: unc, value: 0.01825} + value: 0.05800 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.60281, low: 0.48225, value: 0.54253, factor: 0.41472} + - {high: 0.61648, low: 0.51373, value: 0.56510, factor: 0.48664} + - {high: 0.63652, low: 0.54559, value: 0.59105, factor: 0.54987} + - {high: 0.66128, low: 0.57862, value: 0.61995, factor: 0.60488} + - {high: 0.68973, low: 0.61310, value: 0.65142, factor: 0.65243} + - {high: 0.72114, low: 0.64903, value: 0.68509, factor: 0.69334} + - {high: 0.75497, low: 0.68634, value: 0.72065, factor: 0.72851} + - {high: 0.79080, low: 0.72490, value: 0.75785, factor: 0.75872} + - {high: 0.82831, low: 0.76460, value: 0.79646, factor: 0.78473} + - {high: 0.86724, low: 0.80529, value: 0.83627, factor: 0.80716} + - {high: 0.90737, low: 0.84688, value: 0.87712, factor: 0.82657} + - {high: 0.94852, low: 0.88924, value: 0.91888, factor: 0.84342} + - {high: 0.99056, low: 0.93229, value: 0.96143, factor: 0.85810} + - {high: 1.03336, low: 0.97596, value: 1.00466, factor: 0.87094} + - {high: 1.07683, low: 1.02016, value: 1.04850, factor: 0.88222} +- header: {name: "ph"} + values: + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.45000, low: 0.40000, value: 0.42500} + - {high: 0.50000, low: 0.45000, value: 0.47500} + - {high: 0.55000, low: 0.50000, value: 0.52500} + - {high: 0.60000, low: 0.55000, value: 0.57500} + - {high: 0.65000, low: 0.60000, value: 0.62500} + - {high: 0.70000, low: 0.65000, value: 0.67500} + - {high: 0.75000, low: 0.70000, value: 0.72500} + - {high: 0.80000, low: 0.75000, value: 0.77500} + - {high: 0.85000, low: 0.80000, value: 0.82500} + - {high: 0.90000, low: 0.85000, value: 0.87500} + - {high: 0.95000, low: 0.90000, value: 0.92500} diff --git a/data/BESIII_PI_MINUS_2p2000.yaml b/data/BESIII_PI_MINUS_2p2000.yaml new file mode 100644 index 000000000..ca8f46fc9 --- /dev/null +++ b/data/BESIII_PI_MINUS_2p2000.yaml @@ -0,0 +1,100 @@ +dependent_variables: +- header: {title: "BESIII $\pi^-$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 2.2 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: PI} + - {name: charge, value: -1} + values: + - errors: + - {label: unc, value: 0.06433} + value: 3.32900 + - errors: + - {label: unc, value: 0.09688} + value: 3.50900 + - errors: + - {label: unc, value: 0.10568} + value: 3.25500 + - errors: + - {label: unc, value: 0.09166} + value: 2.82800 + - errors: + - {label: unc, value: 0.08658} + value: 2.38700 + - errors: + - {label: unc, value: 0.05179} + value: 1.94100 + - errors: + - {label: unc, value: 0.03883} + value: 1.54400 + - errors: + - {label: unc, value: 0.02625} + value: 1.23700 + - errors: + - {label: unc, value: 0.01304} + value: 0.96400 + - errors: + - {label: unc, value: 0.00922} + value: 0.82200 + - errors: + - {label: unc, value: 0.03847} + value: 0.67000 + - errors: + - {label: unc, value: 0.04329} + value: 0.53400 + - errors: + - {label: unc, value: 0.03437} + value: 0.41400 + - errors: + - {label: unc, value: 0.03027} + value: 0.27200 + - errors: + - {label: unc, value: 0.00762} + value: 0.15000 + - errors: + - {label: unc, value: 0.01530} + value: 0.08400 + - errors: + - {label: unc, value: 0.01118} + value: 0.02700 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.54801, low: 0.43841, value: 0.49321, factor: 0.37702} + - {high: 0.56043, low: 0.46703, value: 0.51373, factor: 0.44240} + - {high: 0.57865, low: 0.49599, value: 0.53732, factor: 0.49988} + - {high: 0.60117, low: 0.52602, value: 0.56359, factor: 0.54989} + - {high: 0.62703, low: 0.55736, value: 0.59220, factor: 0.59311} + - {high: 0.65558, low: 0.59003, value: 0.62280, factor: 0.63031} + - {high: 0.68634, low: 0.62394, value: 0.65514, factor: 0.66228} + - {high: 0.71891, low: 0.65900, value: 0.68896, factor: 0.68975} + - {high: 0.75301, low: 0.69509, value: 0.72405, factor: 0.71339} + - {high: 0.78840, low: 0.73209, value: 0.76024, factor: 0.73378} + - {high: 0.82488, low: 0.76989, value: 0.79738, factor: 0.75142} + - {high: 0.86229, low: 0.80840, value: 0.83535, factor: 0.76674} + - {high: 0.90051, low: 0.84754, value: 0.87402, factor: 0.78009} + - {high: 0.93942, low: 0.88723, value: 0.91333, factor: 0.79176} + - {high: 0.97894, low: 0.92742, value: 0.95318, factor: 0.80202} + - {high: 1.01898, low: 0.96803, value: 0.99351, factor: 0.81105} + - {high: 1.05949, low: 1.00904, value: 1.03427, factor: 0.81904} +- header: {name: "ph"} + values: + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.45000, low: 0.40000, value: 0.42500} + - {high: 0.50000, low: 0.45000, value: 0.47500} + - {high: 0.55000, low: 0.50000, value: 0.52500} + - {high: 0.60000, low: 0.55000, value: 0.57500} + - {high: 0.65000, low: 0.60000, value: 0.62500} + - {high: 0.70000, low: 0.65000, value: 0.67500} + - {high: 0.75000, low: 0.70000, value: 0.72500} + - {high: 0.80000, low: 0.75000, value: 0.77500} + - {high: 0.85000, low: 0.80000, value: 0.82500} + - {high: 0.90000, low: 0.85000, value: 0.87500} + - {high: 0.95000, low: 0.90000, value: 0.92500} + - {high: 1.00000, low: 0.95000, value: 0.97500} + - {high: 1.05000, low: 1.00000, value: 1.02500} diff --git a/data/BESIII_PI_MINUS_2p3960.yaml b/data/BESIII_PI_MINUS_2p3960.yaml new file mode 100644 index 000000000..70a4db30f --- /dev/null +++ b/data/BESIII_PI_MINUS_2p3960.yaml @@ -0,0 +1,110 @@ +dependent_variables: +- header: {title: "BESIII $\pi^-$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 2.396 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: PI} + - {name: charge, value: -1} + values: + - errors: + - {label: unc, value: 0.08322} + value: 3.28000 + - errors: + - {label: unc, value: 0.09220} + value: 3.46700 + - errors: + - {label: unc, value: 0.07225} + value: 3.32500 + - errors: + - {label: unc, value: 0.04342} + value: 2.97900 + - errors: + - {label: unc, value: 0.01208} + value: 2.51300 + - errors: + - {label: unc, value: 0.01030} + value: 2.06700 + - errors: + - {label: unc, value: 0.00894} + value: 1.67800 + - errors: + - {label: unc, value: 0.01265} + value: 1.35500 + - errors: + - {label: unc, value: 0.01552} + value: 1.08200 + - errors: + - {label: unc, value: 0.02816} + value: 0.83500 + - errors: + - {label: unc, value: 0.02617} + value: 0.65200 + - errors: + - {label: unc, value: 0.03114} + value: 0.53600 + - errors: + - {label: unc, value: 0.03905} + value: 0.47000 + - errors: + - {label: unc, value: 0.04205} + value: 0.37600 + - errors: + - {label: unc, value: 0.03406} + value: 0.28500 + - errors: + - {label: unc, value: 0.02707} + value: 0.18300 + - errors: + - {label: unc, value: 0.01005} + value: 0.08700 + - errors: + - {label: unc, value: 0.00608} + value: 0.04600 + - errors: + - {label: unc, value: 0.00510} + value: 0.01300 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.50318, low: 0.40255, value: 0.45287, factor: 0.34618} + - {high: 0.51459, low: 0.42882, value: 0.47171, factor: 0.40621} + - {high: 0.53132, low: 0.45541, value: 0.49337, factor: 0.45899} + - {high: 0.55199, low: 0.48299, value: 0.51749, factor: 0.50491} + - {high: 0.57574, low: 0.51177, value: 0.54375, factor: 0.54460} + - {high: 0.60196, low: 0.54176, value: 0.57186, factor: 0.57875} + - {high: 0.63019, low: 0.57290, value: 0.60155, factor: 0.60810} + - {high: 0.66010, low: 0.60509, value: 0.63260, factor: 0.63332} + - {high: 0.69141, low: 0.63823, value: 0.66482, factor: 0.65503} + - {high: 0.72391, low: 0.67220, value: 0.69805, factor: 0.67376} + - {high: 0.75740, low: 0.70691, value: 0.73215, factor: 0.68996} + - {high: 0.79175, low: 0.74227, value: 0.76701, factor: 0.70402} + - {high: 0.82685, low: 0.77821, value: 0.80253, factor: 0.71628} + - {high: 0.86257, low: 0.81465, value: 0.83861, factor: 0.72700} + - {high: 0.89886, low: 0.85155, value: 0.87520, factor: 0.73641} + - {high: 0.93563, low: 0.88885, value: 0.91224, factor: 0.74470} + - {high: 0.97282, low: 0.92650, value: 0.94966, factor: 0.75204} + - {high: 1.01039, low: 0.96446, value: 0.98743, factor: 0.75856} + - {high: 1.04829, low: 1.00271, value: 1.02550, factor: 0.76437} +- header: {name: "ph"} + values: + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.45000, low: 0.40000, value: 0.42500} + - {high: 0.50000, low: 0.45000, value: 0.47500} + - {high: 0.55000, low: 0.50000, value: 0.52500} + - {high: 0.60000, low: 0.55000, value: 0.57500} + - {high: 0.65000, low: 0.60000, value: 0.62500} + - {high: 0.70000, low: 0.65000, value: 0.67500} + - {high: 0.75000, low: 0.70000, value: 0.72500} + - {high: 0.80000, low: 0.75000, value: 0.77500} + - {high: 0.85000, low: 0.80000, value: 0.82500} + - {high: 0.90000, low: 0.85000, value: 0.87500} + - {high: 0.95000, low: 0.90000, value: 0.92500} + - {high: 1.00000, low: 0.95000, value: 0.97500} + - {high: 1.05000, low: 1.00000, value: 1.02500} + - {high: 1.10000, low: 1.05000, value: 1.07500} + - {high: 1.15000, low: 1.10000, value: 1.12500} diff --git a/data/BESIII_PI_MINUS_2p6444.yaml b/data/BESIII_PI_MINUS_2p6444.yaml new file mode 100644 index 000000000..5e19863ab --- /dev/null +++ b/data/BESIII_PI_MINUS_2p6444.yaml @@ -0,0 +1,120 @@ +dependent_variables: +- header: {title: "BESIII $\pi^-$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 2.6444 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: PI} + - {name: charge, value: -1} + values: + - errors: + - {label: unc, value: 0.14634} + value: 3.45000 + - errors: + - {label: unc, value: 0.11543} + value: 3.58600 + - errors: + - {label: unc, value: 0.10946} + value: 3.40100 + - errors: + - {label: unc, value: 0.06265} + value: 3.01900 + - errors: + - {label: unc, value: 0.02816} + value: 2.59500 + - errors: + - {label: unc, value: 0.03081} + value: 2.17200 + - errors: + - {label: unc, value: 0.04258} + value: 1.79500 + - errors: + - {label: unc, value: 0.05433} + value: 1.46100 + - errors: + - {label: unc, value: 0.03946} + value: 1.19000 + - errors: + - {label: unc, value: 0.04130} + value: 0.91900 + - errors: + - {label: unc, value: 0.03536} + value: 0.73200 + - errors: + - {label: unc, value: 0.03821} + value: 0.58300 + - errors: + - {label: unc, value: 0.04518} + value: 0.45500 + - errors: + - {label: unc, value: 0.04111} + value: 0.37900 + - errors: + - {label: unc, value: 0.03812} + value: 0.30500 + - errors: + - {label: unc, value: 0.04011} + value: 0.28400 + - errors: + - {label: unc, value: 0.03612} + value: 0.22600 + - errors: + - {label: unc, value: 0.03114} + value: 0.15900 + - errors: + - {label: unc, value: 0.01910} + value: 0.09500 + - errors: + - {label: unc, value: 0.00539} + value: 0.03900 + - errors: + - {label: unc, value: 0.00361} + value: 0.01300 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.45592, low: 0.36473, value: 0.41033, factor: 0.31366} + - {high: 0.46625, low: 0.38854, value: 0.42740, factor: 0.36805} + - {high: 0.48141, low: 0.41264, value: 0.44702, factor: 0.41587} + - {high: 0.50014, low: 0.43762, value: 0.46888, factor: 0.45748} + - {high: 0.52166, low: 0.46369, value: 0.49268, factor: 0.49344} + - {high: 0.54541, low: 0.49087, value: 0.51814, factor: 0.52439} + - {high: 0.57100, low: 0.51909, value: 0.54504, factor: 0.55098} + - {high: 0.59810, low: 0.54826, value: 0.57318, factor: 0.57383} + - {high: 0.62647, low: 0.57828, value: 0.60237, factor: 0.59350} + - {high: 0.65591, low: 0.60906, value: 0.63248, factor: 0.61047} + - {high: 0.68626, low: 0.64051, value: 0.66338, factor: 0.62515} + - {high: 0.71738, low: 0.67255, value: 0.69496, factor: 0.63789} + - {high: 0.74918, low: 0.70511, value: 0.72714, factor: 0.64899} + - {high: 0.78155, low: 0.73813, value: 0.75984, factor: 0.65871} + - {high: 0.81443, low: 0.77156, value: 0.79299, factor: 0.66723} + - {high: 0.84774, low: 0.80535, value: 0.82655, factor: 0.67475} + - {high: 0.88144, low: 0.83947, value: 0.86045, factor: 0.68140} + - {high: 0.91548, low: 0.87387, value: 0.89467, factor: 0.68730} + - {high: 0.94982, low: 0.90852, value: 0.92917, factor: 0.69257} + - {high: 0.98443, low: 0.94341, value: 0.96392, factor: 0.69727} + - {high: 1.01928, low: 0.97851, value: 0.99889, factor: 0.70149} +- header: {name: "ph"} + values: + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.45000, low: 0.40000, value: 0.42500} + - {high: 0.50000, low: 0.45000, value: 0.47500} + - {high: 0.55000, low: 0.50000, value: 0.52500} + - {high: 0.60000, low: 0.55000, value: 0.57500} + - {high: 0.65000, low: 0.60000, value: 0.62500} + - {high: 0.70000, low: 0.65000, value: 0.67500} + - {high: 0.75000, low: 0.70000, value: 0.72500} + - {high: 0.80000, low: 0.75000, value: 0.77500} + - {high: 0.85000, low: 0.80000, value: 0.82500} + - {high: 0.90000, low: 0.85000, value: 0.87500} + - {high: 0.95000, low: 0.90000, value: 0.92500} + - {high: 1.00000, low: 0.95000, value: 0.97500} + - {high: 1.05000, low: 1.00000, value: 1.02500} + - {high: 1.10000, low: 1.05000, value: 1.07500} + - {high: 1.15000, low: 1.10000, value: 1.12500} + - {high: 1.20000, low: 1.15000, value: 1.17500} + - {high: 1.25000, low: 1.20000, value: 1.22500} diff --git a/data/BESIII_PI_MINUS_2p9000.yaml b/data/BESIII_PI_MINUS_2p9000.yaml new file mode 100644 index 000000000..aa662715c --- /dev/null +++ b/data/BESIII_PI_MINUS_2p9000.yaml @@ -0,0 +1,130 @@ +dependent_variables: +- header: {title: "BESIII $\pi^-$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 2.9 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: PI} + - {name: charge, value: -1} + values: + - errors: + - {label: unc, value: 0.19409} + value: 3.53000 + - errors: + - {label: unc, value: 0.18510} + value: 3.66800 + - errors: + - {label: unc, value: 0.14612} + value: 3.50700 + - errors: + - {label: unc, value: 0.08222} + value: 3.14400 + - errors: + - {label: unc, value: 0.02452} + value: 2.70800 + - errors: + - {label: unc, value: 0.01772} + value: 2.30400 + - errors: + - {label: unc, value: 0.03523} + value: 1.89900 + - errors: + - {label: unc, value: 0.04916} + value: 1.55600 + - errors: + - {label: unc, value: 0.05315} + value: 1.25800 + - errors: + - {label: unc, value: 0.05608} + value: 1.01300 + - errors: + - {label: unc, value: 0.05908} + value: 0.82800 + - errors: + - {label: unc, value: 0.05508} + value: 0.67100 + - errors: + - {label: unc, value: 0.05009} + value: 0.54100 + - errors: + - {label: unc, value: 0.04704} + value: 0.43100 + - errors: + - {label: unc, value: 0.04105} + value: 0.34400 + - errors: + - {label: unc, value: 0.04205} + value: 0.27700 + - errors: + - {label: unc, value: 0.03705} + value: 0.22400 + - errors: + - {label: unc, value: 0.03206} + value: 0.18400 + - errors: + - {label: unc, value: 0.02807} + value: 0.16700 + - errors: + - {label: unc, value: 0.02907} + value: 0.13200 + - errors: + - {label: unc, value: 0.02202} + value: 0.08800 + - errors: + - {label: unc, value: 0.01204} + value: 0.04700 + - errors: + - {label: unc, value: 0.00224} + value: 0.01700 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.41573, low: 0.33259, value: 0.37416, factor: 0.28601} + - {high: 0.42516, low: 0.35430, value: 0.38973, factor: 0.33561} + - {high: 0.43898, low: 0.37627, value: 0.40762, factor: 0.37922} + - {high: 0.45606, low: 0.39905, value: 0.42755, factor: 0.41716} + - {high: 0.47568, low: 0.42283, value: 0.44925, factor: 0.44995} + - {high: 0.49734, low: 0.44761, value: 0.47247, factor: 0.47817} + - {high: 0.52067, low: 0.47334, value: 0.49700, factor: 0.50242} + - {high: 0.54538, low: 0.49993, value: 0.52266, factor: 0.52326} + - {high: 0.57125, low: 0.52731, value: 0.54928, factor: 0.54119} + - {high: 0.59810, low: 0.55538, value: 0.57674, factor: 0.55666} + - {high: 0.62577, low: 0.58405, value: 0.60491, factor: 0.57005} + - {high: 0.65415, low: 0.61327, value: 0.63371, factor: 0.58167} + - {high: 0.68315, low: 0.64296, value: 0.66305, factor: 0.59179} + - {high: 0.71267, low: 0.67307, value: 0.69287, factor: 0.60065} + - {high: 0.74264, low: 0.70356, value: 0.72310, factor: 0.60843} + - {high: 0.77302, low: 0.73437, value: 0.75370, factor: 0.61528} + - {high: 0.80375, low: 0.76548, value: 0.78461, factor: 0.62134} + - {high: 0.83479, low: 0.79685, value: 0.81582, factor: 0.62673} + - {high: 0.86611, low: 0.82845, value: 0.84728, factor: 0.63153} + - {high: 0.89766, low: 0.86026, value: 0.87896, factor: 0.63582} + - {high: 0.92944, low: 0.89226, value: 0.91085, factor: 0.63966} + - {high: 0.96141, low: 0.92443, value: 0.94292, factor: 0.64313} + - {high: 0.99356, low: 0.95676, value: 0.97516, factor: 0.64626} +- header: {name: "ph"} + values: + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.45000, low: 0.40000, value: 0.42500} + - {high: 0.50000, low: 0.45000, value: 0.47500} + - {high: 0.55000, low: 0.50000, value: 0.52500} + - {high: 0.60000, low: 0.55000, value: 0.57500} + - {high: 0.65000, low: 0.60000, value: 0.62500} + - {high: 0.70000, low: 0.65000, value: 0.67500} + - {high: 0.75000, low: 0.70000, value: 0.72500} + - {high: 0.80000, low: 0.75000, value: 0.77500} + - {high: 0.85000, low: 0.80000, value: 0.82500} + - {high: 0.90000, low: 0.85000, value: 0.87500} + - {high: 0.95000, low: 0.90000, value: 0.92500} + - {high: 1.00000, low: 0.95000, value: 0.97500} + - {high: 1.05000, low: 1.00000, value: 1.02500} + - {high: 1.10000, low: 1.05000, value: 1.07500} + - {high: 1.15000, low: 1.10000, value: 1.12500} + - {high: 1.20000, low: 1.15000, value: 1.17500} + - {high: 1.25000, low: 1.20000, value: 1.22500} + - {high: 1.30000, low: 1.25000, value: 1.27500} + - {high: 1.35000, low: 1.30000, value: 1.32500} diff --git a/data/BESIII_PI_MINUS_3p0500.yaml b/data/BESIII_PI_MINUS_3p0500.yaml new file mode 100644 index 000000000..6bd43ce92 --- /dev/null +++ b/data/BESIII_PI_MINUS_3p0500.yaml @@ -0,0 +1,135 @@ +dependent_variables: +- header: {title: "BESIII $\pi^-$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 3.05 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: PI} + - {name: charge, value: -1} + values: + - errors: + - {label: unc, value: 0.46035} + value: 3.54200 + - errors: + - {label: unc, value: 0.45036} + value: 3.67800 + - errors: + - {label: unc, value: 0.42534} + value: 3.49800 + - errors: + - {label: unc, value: 0.35436} + value: 3.17400 + - errors: + - {label: unc, value: 0.29738} + value: 2.76600 + - errors: + - {label: unc, value: 0.26132} + value: 2.34900 + - errors: + - {label: unc, value: 0.19936} + value: 1.94600 + - errors: + - {label: unc, value: 0.15838} + value: 1.60100 + - errors: + - {label: unc, value: 0.12640} + value: 1.31600 + - errors: + - {label: unc, value: 0.11934} + value: 1.06400 + - errors: + - {label: unc, value: 0.10431} + value: 0.86400 + - errors: + - {label: unc, value: 0.09733} + value: 0.71000 + - errors: + - {label: unc, value: 0.08828} + value: 0.56700 + - errors: + - {label: unc, value: 0.07333} + value: 0.48000 + - errors: + - {label: unc, value: 0.06428} + value: 0.38400 + - errors: + - {label: unc, value: 0.05433} + value: 0.31300 + - errors: + - {label: unc, value: 0.05324} + value: 0.24400 + - errors: + - {label: unc, value: 0.04428} + value: 0.20500 + - errors: + - {label: unc, value: 0.04031} + value: 0.16900 + - errors: + - {label: unc, value: 0.03225} + value: 0.13600 + - errors: + - {label: unc, value: 0.02927} + value: 0.12600 + - errors: + - {label: unc, value: 0.02631} + value: 0.09300 + - errors: + - {label: unc, value: 0.01726} + value: 0.05800 + - errors: + - {label: unc, value: 0.01140} + value: 0.03000 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.39529, low: 0.31623, value: 0.35576, factor: 0.27195} + - {high: 0.40425, low: 0.33687, value: 0.37056, factor: 0.31911} + - {high: 0.41739, low: 0.35776, value: 0.38757, factor: 0.36057} + - {high: 0.43363, low: 0.37942, value: 0.40653, factor: 0.39665} + - {high: 0.45228, low: 0.40203, value: 0.42716, factor: 0.42782} + - {high: 0.47288, low: 0.42559, value: 0.44924, factor: 0.45465} + - {high: 0.49506, low: 0.45006, value: 0.47256, factor: 0.47771} + - {high: 0.51856, low: 0.47535, value: 0.49695, factor: 0.49752} + - {high: 0.54316, low: 0.50138, value: 0.52227, factor: 0.51457} + - {high: 0.56868, low: 0.52806, value: 0.54837, factor: 0.52928} + - {high: 0.59499, low: 0.55533, value: 0.57516, factor: 0.54201} + - {high: 0.62198, low: 0.58311, value: 0.60254, factor: 0.55306} + - {high: 0.64955, low: 0.61134, value: 0.63044, factor: 0.56269} + - {high: 0.67762, low: 0.63997, value: 0.65879, factor: 0.57111} + - {high: 0.70612, low: 0.66896, value: 0.68754, factor: 0.57850} + - {high: 0.73500, low: 0.69825, value: 0.71663, factor: 0.58502} + - {high: 0.76422, low: 0.72783, value: 0.74603, factor: 0.59079} + - {high: 0.79374, low: 0.75766, value: 0.77570, factor: 0.59590} + - {high: 0.82351, low: 0.78771, value: 0.80561, factor: 0.60047} + - {high: 0.85352, low: 0.81795, value: 0.83574, factor: 0.60455} + - {high: 0.88373, low: 0.84838, value: 0.86606, factor: 0.60821} + - {high: 0.91413, low: 0.87897, value: 0.89655, factor: 0.61150} + - {high: 0.94469, low: 0.90971, value: 0.92720, factor: 0.61447} + - {high: 0.97541, low: 0.94057, value: 0.95799, factor: 0.61716} +- header: {name: "ph"} + values: + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.45000, low: 0.40000, value: 0.42500} + - {high: 0.50000, low: 0.45000, value: 0.47500} + - {high: 0.55000, low: 0.50000, value: 0.52500} + - {high: 0.60000, low: 0.55000, value: 0.57500} + - {high: 0.65000, low: 0.60000, value: 0.62500} + - {high: 0.70000, low: 0.65000, value: 0.67500} + - {high: 0.75000, low: 0.70000, value: 0.72500} + - {high: 0.80000, low: 0.75000, value: 0.77500} + - {high: 0.85000, low: 0.80000, value: 0.82500} + - {high: 0.90000, low: 0.85000, value: 0.87500} + - {high: 0.95000, low: 0.90000, value: 0.92500} + - {high: 1.00000, low: 0.95000, value: 0.97500} + - {high: 1.05000, low: 1.00000, value: 1.02500} + - {high: 1.10000, low: 1.05000, value: 1.07500} + - {high: 1.15000, low: 1.10000, value: 1.12500} + - {high: 1.20000, low: 1.15000, value: 1.17500} + - {high: 1.25000, low: 1.20000, value: 1.22500} + - {high: 1.30000, low: 1.25000, value: 1.27500} + - {high: 1.35000, low: 1.30000, value: 1.32500} + - {high: 1.40000, low: 1.35000, value: 1.37500} diff --git a/data/BESIII_PI_MINUS_3p5000.yaml b/data/BESIII_PI_MINUS_3p5000.yaml new file mode 100644 index 000000000..854294c8a --- /dev/null +++ b/data/BESIII_PI_MINUS_3p5000.yaml @@ -0,0 +1,140 @@ +dependent_variables: +- header: {title: "BESIII $\pi^-$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 3.5 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: PI} + - {name: charge, value: -1} + values: + - errors: + - {label: unc, value: 0.34532} + value: 3.66600 + - errors: + - {label: unc, value: 0.34322} + value: 3.82400 + - errors: + - {label: unc, value: 0.28554} + value: 3.75200 + - errors: + - {label: unc, value: 0.21306} + value: 3.37500 + - errors: + - {label: unc, value: 0.11072} + value: 2.86000 + - errors: + - {label: unc, value: 0.05000} + value: 2.51100 + - errors: + - {label: unc, value: 0.03302} + value: 2.04200 + - errors: + - {label: unc, value: 0.05818} + value: 1.68800 + - errors: + - {label: unc, value: 0.08877} + value: 1.37100 + - errors: + - {label: unc, value: 0.09708} + value: 1.13000 + - errors: + - {label: unc, value: 0.09651} + value: 0.87900 + - errors: + - {label: unc, value: 0.09749} + value: 0.76200 + - errors: + - {label: unc, value: 0.08828} + value: 0.59800 + - errors: + - {label: unc, value: 0.07925} + value: 0.49800 + - errors: + - {label: unc, value: 0.06825} + value: 0.41800 + - errors: + - {label: unc, value: 0.06119} + value: 0.34300 + - errors: + - {label: unc, value: 0.04754} + value: 0.27000 + - errors: + - {label: unc, value: 0.04561} + value: 0.24700 + - errors: + - {label: unc, value: 0.03384} + value: 0.20700 + - errors: + - {label: unc, value: 0.02973} + value: 0.18200 + - errors: + - {label: unc, value: 0.02470} + value: 0.14300 + - errors: + - {label: unc, value: 0.02062} + value: 0.11100 + - errors: + - {label: unc, value: 0.02657} + value: 0.11300 + - errors: + - {label: unc, value: 0.01970} + value: 0.08200 + - errors: + - {label: unc, value: 0.01082} + value: 0.04600 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.34447, low: 0.27557, value: 0.31002, factor: 0.23698} + - {high: 0.35227, low: 0.29356, value: 0.32292, factor: 0.27808} + - {high: 0.36372, low: 0.31176, value: 0.33774, factor: 0.31421} + - {high: 0.37788, low: 0.33064, value: 0.35426, factor: 0.34565} + - {high: 0.39413, low: 0.35034, value: 0.37224, factor: 0.37281} + - {high: 0.41208, low: 0.37087, value: 0.39148, factor: 0.39620} + - {high: 0.43141, low: 0.39219, value: 0.41180, factor: 0.41629} + - {high: 0.45189, low: 0.41423, value: 0.43306, factor: 0.43356} + - {high: 0.47332, low: 0.43691, value: 0.45512, factor: 0.44842} + - {high: 0.49557, low: 0.46017, value: 0.47787, factor: 0.46123} + - {high: 0.51850, low: 0.48393, value: 0.50121, factor: 0.47232} + - {high: 0.54201, low: 0.50814, value: 0.52507, factor: 0.48195} + - {high: 0.56603, low: 0.53274, value: 0.54939, factor: 0.49034} + - {high: 0.59049, low: 0.55769, value: 0.57409, factor: 0.49768} + - {high: 0.61533, low: 0.58295, value: 0.59914, factor: 0.50412} + - {high: 0.64050, low: 0.60848, value: 0.62449, factor: 0.50980} + - {high: 0.66597, low: 0.63425, value: 0.65011, factor: 0.51483} + - {high: 0.69168, low: 0.66024, value: 0.67596, factor: 0.51929} + - {high: 0.71763, low: 0.68643, value: 0.70203, factor: 0.52326} + - {high: 0.74378, low: 0.71279, value: 0.72828, factor: 0.52682} + - {high: 0.77011, low: 0.73930, value: 0.75471, factor: 0.53001} + - {high: 0.79660, low: 0.76596, value: 0.78128, factor: 0.53288} + - {high: 0.82323, low: 0.79274, value: 0.80799, factor: 0.53547} + - {high: 0.85000, low: 0.81964, value: 0.83482, factor: 0.53781} + - {high: 0.87689, low: 0.84665, value: 0.86177, factor: 0.53994} +- header: {name: "ph"} + values: + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.45000, low: 0.40000, value: 0.42500} + - {high: 0.50000, low: 0.45000, value: 0.47500} + - {high: 0.55000, low: 0.50000, value: 0.52500} + - {high: 0.60000, low: 0.55000, value: 0.57500} + - {high: 0.65000, low: 0.60000, value: 0.62500} + - {high: 0.70000, low: 0.65000, value: 0.67500} + - {high: 0.75000, low: 0.70000, value: 0.72500} + - {high: 0.80000, low: 0.75000, value: 0.77500} + - {high: 0.85000, low: 0.80000, value: 0.82500} + - {high: 0.90000, low: 0.85000, value: 0.87500} + - {high: 0.95000, low: 0.90000, value: 0.92500} + - {high: 1.00000, low: 0.95000, value: 0.97500} + - {high: 1.05000, low: 1.00000, value: 1.02500} + - {high: 1.10000, low: 1.05000, value: 1.07500} + - {high: 1.15000, low: 1.10000, value: 1.12500} + - {high: 1.20000, low: 1.15000, value: 1.17500} + - {high: 1.25000, low: 1.20000, value: 1.22500} + - {high: 1.30000, low: 1.25000, value: 1.27500} + - {high: 1.35000, low: 1.30000, value: 1.32500} + - {high: 1.40000, low: 1.35000, value: 1.37500} + - {high: 1.45000, low: 1.40000, value: 1.42500} diff --git a/data/BESIII_PI_MINUS_3p6710.yaml b/data/BESIII_PI_MINUS_3p6710.yaml new file mode 100644 index 000000000..2842ad83a --- /dev/null +++ b/data/BESIII_PI_MINUS_3p6710.yaml @@ -0,0 +1,140 @@ +dependent_variables: +- header: {title: "BESIII $\pi^-$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 3.671 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: PI} + - {name: charge, value: -1} + values: + - errors: + - {label: unc, value: 0.29645} + value: 3.80400 + - errors: + - {label: unc, value: 0.29459} + value: 4.03300 + - errors: + - {label: unc, value: 0.22408} + value: 3.80900 + - errors: + - {label: unc, value: 0.16183} + value: 3.48300 + - errors: + - {label: unc, value: 0.08246} + value: 2.93200 + - errors: + - {label: unc, value: 0.03895} + value: 2.47800 + - errors: + - {label: unc, value: 0.04123} + value: 2.08000 + - errors: + - {label: unc, value: 0.06001} + value: 1.74000 + - errors: + - {label: unc, value: 0.06736} + value: 1.36300 + - errors: + - {label: unc, value: 0.07569} + value: 1.12900 + - errors: + - {label: unc, value: 0.08005} + value: 0.92700 + - errors: + - {label: unc, value: 0.07690} + value: 0.76000 + - errors: + - {label: unc, value: 0.07571} + value: 0.63600 + - errors: + - {label: unc, value: 0.07649} + value: 0.54300 + - errors: + - {label: unc, value: 0.06727} + value: 0.42400 + - errors: + - {label: unc, value: 0.06335} + value: 0.37400 + - errors: + - {label: unc, value: 0.05923} + value: 0.31100 + - errors: + - {label: unc, value: 0.05045} + value: 0.25500 + - errors: + - {label: unc, value: 0.04148} + value: 0.21000 + - errors: + - {label: unc, value: 0.03929} + value: 0.18600 + - errors: + - {label: unc, value: 0.03929} + value: 0.17400 + - errors: + - {label: unc, value: 0.02941} + value: 0.13500 + - errors: + - {label: unc, value: 0.02720} + value: 0.12000 + - errors: + - {label: unc, value: 0.02530} + value: 0.09300 + - errors: + - {label: unc, value: 0.02500} + value: 0.07400 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.32842, low: 0.26274, value: 0.29558, factor: 0.22594} + - {high: 0.33586, low: 0.27989, value: 0.30787, factor: 0.26512} + - {high: 0.34678, low: 0.29724, value: 0.32201, factor: 0.29957} + - {high: 0.36027, low: 0.31524, value: 0.33776, factor: 0.32955} + - {high: 0.37577, low: 0.33402, value: 0.35490, factor: 0.35545} + - {high: 0.39289, low: 0.35360, value: 0.37324, factor: 0.37774} + - {high: 0.41132, low: 0.37392, value: 0.39262, factor: 0.39690} + - {high: 0.43084, low: 0.39494, value: 0.41289, factor: 0.41336} + - {high: 0.45127, low: 0.41656, value: 0.43392, factor: 0.42753} + - {high: 0.47248, low: 0.43873, value: 0.45561, factor: 0.43975} + - {high: 0.49434, low: 0.46139, value: 0.47787, factor: 0.45032} + - {high: 0.51676, low: 0.48447, value: 0.50062, factor: 0.45950} + - {high: 0.53967, low: 0.50792, value: 0.52380, factor: 0.46750} + - {high: 0.56299, low: 0.53171, value: 0.54735, factor: 0.47450} + - {high: 0.58667, low: 0.55579, value: 0.57123, factor: 0.48064} + - {high: 0.61067, low: 0.58013, value: 0.59540, factor: 0.48606} + - {high: 0.63494, low: 0.60471, value: 0.61983, factor: 0.49085} + - {high: 0.65947, low: 0.62949, value: 0.64448, factor: 0.49510} + - {high: 0.68420, low: 0.65445, value: 0.66933, factor: 0.49889} + - {high: 0.70913, low: 0.67959, value: 0.69436, factor: 0.50228} + - {high: 0.73424, low: 0.70487, value: 0.71955, factor: 0.50532} + - {high: 0.75949, low: 0.73028, value: 0.74489, factor: 0.50806} + - {high: 0.78489, low: 0.75582, value: 0.77035, factor: 0.51053} + - {high: 0.81041, low: 0.78146, value: 0.79594, factor: 0.51276} + - {high: 0.83604, low: 0.80721, value: 0.82162, factor: 0.51479} +- header: {name: "ph"} + values: + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.45000, low: 0.40000, value: 0.42500} + - {high: 0.50000, low: 0.45000, value: 0.47500} + - {high: 0.55000, low: 0.50000, value: 0.52500} + - {high: 0.60000, low: 0.55000, value: 0.57500} + - {high: 0.65000, low: 0.60000, value: 0.62500} + - {high: 0.70000, low: 0.65000, value: 0.67500} + - {high: 0.75000, low: 0.70000, value: 0.72500} + - {high: 0.80000, low: 0.75000, value: 0.77500} + - {high: 0.85000, low: 0.80000, value: 0.82500} + - {high: 0.90000, low: 0.85000, value: 0.87500} + - {high: 0.95000, low: 0.90000, value: 0.92500} + - {high: 1.00000, low: 0.95000, value: 0.97500} + - {high: 1.05000, low: 1.00000, value: 1.02500} + - {high: 1.10000, low: 1.05000, value: 1.07500} + - {high: 1.15000, low: 1.10000, value: 1.12500} + - {high: 1.20000, low: 1.15000, value: 1.17500} + - {high: 1.25000, low: 1.20000, value: 1.22500} + - {high: 1.30000, low: 1.25000, value: 1.27500} + - {high: 1.35000, low: 1.30000, value: 1.32500} + - {high: 1.40000, low: 1.35000, value: 1.37500} + - {high: 1.45000, low: 1.40000, value: 1.42500} diff --git a/data/BESIII_PI_PLUS_2p0000.yaml b/data/BESIII_PI_PLUS_2p0000.yaml new file mode 100644 index 000000000..585f837e4 --- /dev/null +++ b/data/BESIII_PI_PLUS_2p0000.yaml @@ -0,0 +1,90 @@ +dependent_variables: +- header: {title: "BESIII $\pi^+$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 2.0 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: PI} + - {name: charge, value: +1} + values: + - errors: + - {label: unc, value: 0.07925} + value: 3.03800 + - errors: + - {label: unc, value: 0.12280} + value: 3.24000 + - errors: + - {label: unc, value: 0.13264} + value: 3.08400 + - errors: + - {label: unc, value: 0.12358} + value: 2.71300 + - errors: + - {label: unc, value: 0.07679} + value: 2.28600 + - errors: + - {label: unc, value: 0.03833} + value: 1.86200 + - errors: + - {label: unc, value: 0.01204} + value: 1.53000 + - errors: + - {label: unc, value: 0.05657} + value: 1.23800 + - errors: + - {label: unc, value: 0.09733} + value: 0.95500 + - errors: + - {label: unc, value: 0.06935} + value: 0.76700 + - errors: + - {label: unc, value: 0.04937} + value: 0.60100 + - errors: + - {label: unc, value: 0.03437} + value: 0.39600 + - errors: + - {label: unc, value: 0.01772} + value: 0.26000 + - errors: + - {label: unc, value: 0.02532} + value: 0.15700 + - errors: + - {label: unc, value: 0.01726} + value: 0.05700 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.60281, low: 0.48225, value: 0.54253, factor: 0.41472} + - {high: 0.61648, low: 0.51373, value: 0.56510, factor: 0.48664} + - {high: 0.63652, low: 0.54559, value: 0.59105, factor: 0.54987} + - {high: 0.66128, low: 0.57862, value: 0.61995, factor: 0.60488} + - {high: 0.68973, low: 0.61310, value: 0.65142, factor: 0.65243} + - {high: 0.72114, low: 0.64903, value: 0.68509, factor: 0.69334} + - {high: 0.75497, low: 0.68634, value: 0.72065, factor: 0.72851} + - {high: 0.79080, low: 0.72490, value: 0.75785, factor: 0.75872} + - {high: 0.82831, low: 0.76460, value: 0.79646, factor: 0.78473} + - {high: 0.86724, low: 0.80529, value: 0.83627, factor: 0.80716} + - {high: 0.90737, low: 0.84688, value: 0.87712, factor: 0.82657} + - {high: 0.94852, low: 0.88924, value: 0.91888, factor: 0.84342} + - {high: 0.99056, low: 0.93229, value: 0.96143, factor: 0.85810} + - {high: 1.03336, low: 0.97596, value: 1.00466, factor: 0.87094} + - {high: 1.07683, low: 1.02016, value: 1.04850, factor: 0.88222} +- header: {name: "ph"} + values: + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.45000, low: 0.40000, value: 0.42500} + - {high: 0.50000, low: 0.45000, value: 0.47500} + - {high: 0.55000, low: 0.50000, value: 0.52500} + - {high: 0.60000, low: 0.55000, value: 0.57500} + - {high: 0.65000, low: 0.60000, value: 0.62500} + - {high: 0.70000, low: 0.65000, value: 0.67500} + - {high: 0.75000, low: 0.70000, value: 0.72500} + - {high: 0.80000, low: 0.75000, value: 0.77500} + - {high: 0.85000, low: 0.80000, value: 0.82500} + - {high: 0.90000, low: 0.85000, value: 0.87500} + - {high: 0.95000, low: 0.90000, value: 0.92500} diff --git a/data/BESIII_PI_PLUS_2p2000.yaml b/data/BESIII_PI_PLUS_2p2000.yaml new file mode 100644 index 000000000..b99b5c274 --- /dev/null +++ b/data/BESIII_PI_PLUS_2p2000.yaml @@ -0,0 +1,100 @@ +dependent_variables: +- header: {title: "BESIII $\pi^+$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 2.2 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: PI} + - {name: charge, value: +1} + values: + - errors: + - {label: unc, value: 0.06237} + value: 3.34300 + - errors: + - {label: unc, value: 0.09688} + value: 3.48200 + - errors: + - {label: unc, value: 0.12458} + value: 3.24400 + - errors: + - {label: unc, value: 0.10856} + value: 2.82400 + - errors: + - {label: unc, value: 0.09155} + value: 2.38400 + - errors: + - {label: unc, value: 0.05474} + value: 1.95000 + - errors: + - {label: unc, value: 0.03493} + value: 1.55500 + - errors: + - {label: unc, value: 0.03202} + value: 1.24200 + - errors: + - {label: unc, value: 0.04554} + value: 0.98600 + - errors: + - {label: unc, value: 0.02088} + value: 0.83600 + - errors: + - {label: unc, value: 0.03354} + value: 0.66900 + - errors: + - {label: unc, value: 0.03734} + value: 0.53300 + - errors: + - {label: unc, value: 0.03536} + value: 0.41500 + - errors: + - {label: unc, value: 0.02532} + value: 0.26500 + - errors: + - {label: unc, value: 0.00671} + value: 0.14700 + - errors: + - {label: unc, value: 0.01726} + value: 0.08900 + - errors: + - {label: unc, value: 0.01334} + value: 0.03100 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.54801, low: 0.43841, value: 0.49321, factor: 0.37702} + - {high: 0.56043, low: 0.46703, value: 0.51373, factor: 0.44240} + - {high: 0.57865, low: 0.49599, value: 0.53732, factor: 0.49988} + - {high: 0.60117, low: 0.52602, value: 0.56359, factor: 0.54989} + - {high: 0.62703, low: 0.55736, value: 0.59220, factor: 0.59311} + - {high: 0.65558, low: 0.59003, value: 0.62280, factor: 0.63031} + - {high: 0.68634, low: 0.62394, value: 0.65514, factor: 0.66228} + - {high: 0.71891, low: 0.65900, value: 0.68896, factor: 0.68975} + - {high: 0.75301, low: 0.69509, value: 0.72405, factor: 0.71339} + - {high: 0.78840, low: 0.73209, value: 0.76024, factor: 0.73378} + - {high: 0.82488, low: 0.76989, value: 0.79738, factor: 0.75142} + - {high: 0.86229, low: 0.80840, value: 0.83535, factor: 0.76674} + - {high: 0.90051, low: 0.84754, value: 0.87402, factor: 0.78009} + - {high: 0.93942, low: 0.88723, value: 0.91333, factor: 0.79176} + - {high: 0.97894, low: 0.92742, value: 0.95318, factor: 0.80202} + - {high: 1.01898, low: 0.96803, value: 0.99351, factor: 0.81105} + - {high: 1.05949, low: 1.00904, value: 1.03427, factor: 0.81904} +- header: {name: "ph"} + values: + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.45000, low: 0.40000, value: 0.42500} + - {high: 0.50000, low: 0.45000, value: 0.47500} + - {high: 0.55000, low: 0.50000, value: 0.52500} + - {high: 0.60000, low: 0.55000, value: 0.57500} + - {high: 0.65000, low: 0.60000, value: 0.62500} + - {high: 0.70000, low: 0.65000, value: 0.67500} + - {high: 0.75000, low: 0.70000, value: 0.72500} + - {high: 0.80000, low: 0.75000, value: 0.77500} + - {high: 0.85000, low: 0.80000, value: 0.82500} + - {high: 0.90000, low: 0.85000, value: 0.87500} + - {high: 0.95000, low: 0.90000, value: 0.92500} + - {high: 1.00000, low: 0.95000, value: 0.97500} + - {high: 1.05000, low: 1.00000, value: 1.02500} diff --git a/data/BESIII_PI_PLUS_2p3960.yaml b/data/BESIII_PI_PLUS_2p3960.yaml new file mode 100644 index 000000000..d112048ce --- /dev/null +++ b/data/BESIII_PI_PLUS_2p3960.yaml @@ -0,0 +1,110 @@ +dependent_variables: +- header: {title: "BESIII $\pi^+$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 2.396 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: PI} + - {name: charge, value: +1} + values: + - errors: + - {label: unc, value: 0.08222} + value: 3.28700 + - errors: + - {label: unc, value: 0.09220} + value: 3.47100 + - errors: + - {label: unc, value: 0.08022} + value: 3.30600 + - errors: + - {label: unc, value: 0.04937} + value: 2.97200 + - errors: + - {label: unc, value: 0.02354} + value: 2.53200 + - errors: + - {label: unc, value: 0.02062} + value: 2.08200 + - errors: + - {label: unc, value: 0.00640} + value: 1.67400 + - errors: + - {label: unc, value: 0.00806} + value: 1.36900 + - errors: + - {label: unc, value: 0.01265} + value: 1.08600 + - errors: + - {label: unc, value: 0.01825} + value: 0.84700 + - errors: + - {label: unc, value: 0.02220} + value: 0.66400 + - errors: + - {label: unc, value: 0.02419} + value: 0.53900 + - errors: + - {label: unc, value: 0.03406} + value: 0.47200 + - errors: + - {label: unc, value: 0.04105} + value: 0.37600 + - errors: + - {label: unc, value: 0.03206} + value: 0.28400 + - errors: + - {label: unc, value: 0.02508} + value: 0.18200 + - errors: + - {label: unc, value: 0.01005} + value: 0.08700 + - errors: + - {label: unc, value: 0.00510} + value: 0.04500 + - errors: + - {label: unc, value: 0.00608} + value: 0.01500 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.50318, low: 0.40255, value: 0.45287, factor: 0.34618} + - {high: 0.51459, low: 0.42882, value: 0.47171, factor: 0.40621} + - {high: 0.53132, low: 0.45541, value: 0.49337, factor: 0.45899} + - {high: 0.55199, low: 0.48299, value: 0.51749, factor: 0.50491} + - {high: 0.57574, low: 0.51177, value: 0.54375, factor: 0.54460} + - {high: 0.60196, low: 0.54176, value: 0.57186, factor: 0.57875} + - {high: 0.63019, low: 0.57290, value: 0.60155, factor: 0.60810} + - {high: 0.66010, low: 0.60509, value: 0.63260, factor: 0.63332} + - {high: 0.69141, low: 0.63823, value: 0.66482, factor: 0.65503} + - {high: 0.72391, low: 0.67220, value: 0.69805, factor: 0.67376} + - {high: 0.75740, low: 0.70691, value: 0.73215, factor: 0.68996} + - {high: 0.79175, low: 0.74227, value: 0.76701, factor: 0.70402} + - {high: 0.82685, low: 0.77821, value: 0.80253, factor: 0.71628} + - {high: 0.86257, low: 0.81465, value: 0.83861, factor: 0.72700} + - {high: 0.89886, low: 0.85155, value: 0.87520, factor: 0.73641} + - {high: 0.93563, low: 0.88885, value: 0.91224, factor: 0.74470} + - {high: 0.97282, low: 0.92650, value: 0.94966, factor: 0.75204} + - {high: 1.01039, low: 0.96446, value: 0.98743, factor: 0.75856} + - {high: 1.04829, low: 1.00271, value: 1.02550, factor: 0.76437} +- header: {name: "ph"} + values: + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.45000, low: 0.40000, value: 0.42500} + - {high: 0.50000, low: 0.45000, value: 0.47500} + - {high: 0.55000, low: 0.50000, value: 0.52500} + - {high: 0.60000, low: 0.55000, value: 0.57500} + - {high: 0.65000, low: 0.60000, value: 0.62500} + - {high: 0.70000, low: 0.65000, value: 0.67500} + - {high: 0.75000, low: 0.70000, value: 0.72500} + - {high: 0.80000, low: 0.75000, value: 0.77500} + - {high: 0.85000, low: 0.80000, value: 0.82500} + - {high: 0.90000, low: 0.85000, value: 0.87500} + - {high: 0.95000, low: 0.90000, value: 0.92500} + - {high: 1.00000, low: 0.95000, value: 0.97500} + - {high: 1.05000, low: 1.00000, value: 1.02500} + - {high: 1.10000, low: 1.05000, value: 1.07500} + - {high: 1.15000, low: 1.10000, value: 1.12500} diff --git a/data/BESIII_PI_PLUS_2p6444.yaml b/data/BESIII_PI_PLUS_2p6444.yaml new file mode 100644 index 000000000..bc9bd32da --- /dev/null +++ b/data/BESIII_PI_PLUS_2p6444.yaml @@ -0,0 +1,120 @@ +dependent_variables: +- header: {title: "BESIII $\pi^+$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 2.6444 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: PI} + - {name: charge, value: +1} + values: + - errors: + - {label: unc, value: 0.12839} + value: 3.39700 + - errors: + - {label: unc, value: 0.11942} + value: 3.56700 + - errors: + - {label: unc, value: 0.09751} + value: 3.36700 + - errors: + - {label: unc, value: 0.06562} + value: 3.02100 + - errors: + - {label: unc, value: 0.01970} + value: 2.58600 + - errors: + - {label: unc, value: 0.02062} + value: 2.17800 + - errors: + - {label: unc, value: 0.02500} + value: 1.81600 + - errors: + - {label: unc, value: 0.03354} + value: 1.46700 + - errors: + - {label: unc, value: 0.03453} + value: 1.19000 + - errors: + - {label: unc, value: 0.03833} + value: 0.92400 + - errors: + - {label: unc, value: 0.03338} + value: 0.73200 + - errors: + - {label: unc, value: 0.03920} + value: 0.58500 + - errors: + - {label: unc, value: 0.04219} + value: 0.46600 + - errors: + - {label: unc, value: 0.03912} + value: 0.36600 + - errors: + - {label: unc, value: 0.03513} + value: 0.31000 + - errors: + - {label: unc, value: 0.03513} + value: 0.28200 + - errors: + - {label: unc, value: 0.03912} + value: 0.22500 + - errors: + - {label: unc, value: 0.02617} + value: 0.15400 + - errors: + - {label: unc, value: 0.01612} + value: 0.08900 + - errors: + - {label: unc, value: 0.00539} + value: 0.03900 + - errors: + - {label: unc, value: 0.00361} + value: 0.01700 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.45592, low: 0.36473, value: 0.41033, factor: 0.31366} + - {high: 0.46625, low: 0.38854, value: 0.42740, factor: 0.36805} + - {high: 0.48141, low: 0.41264, value: 0.44702, factor: 0.41587} + - {high: 0.50014, low: 0.43762, value: 0.46888, factor: 0.45748} + - {high: 0.52166, low: 0.46369, value: 0.49268, factor: 0.49344} + - {high: 0.54541, low: 0.49087, value: 0.51814, factor: 0.52439} + - {high: 0.57100, low: 0.51909, value: 0.54504, factor: 0.55098} + - {high: 0.59810, low: 0.54826, value: 0.57318, factor: 0.57383} + - {high: 0.62647, low: 0.57828, value: 0.60237, factor: 0.59350} + - {high: 0.65591, low: 0.60906, value: 0.63248, factor: 0.61047} + - {high: 0.68626, low: 0.64051, value: 0.66338, factor: 0.62515} + - {high: 0.71738, low: 0.67255, value: 0.69496, factor: 0.63789} + - {high: 0.74918, low: 0.70511, value: 0.72714, factor: 0.64899} + - {high: 0.78155, low: 0.73813, value: 0.75984, factor: 0.65871} + - {high: 0.81443, low: 0.77156, value: 0.79299, factor: 0.66723} + - {high: 0.84774, low: 0.80535, value: 0.82655, factor: 0.67475} + - {high: 0.88144, low: 0.83947, value: 0.86045, factor: 0.68140} + - {high: 0.91548, low: 0.87387, value: 0.89467, factor: 0.68730} + - {high: 0.94982, low: 0.90852, value: 0.92917, factor: 0.69257} + - {high: 0.98443, low: 0.94341, value: 0.96392, factor: 0.69727} + - {high: 1.01928, low: 0.97851, value: 0.99889, factor: 0.70149} +- header: {name: "ph"} + values: + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.45000, low: 0.40000, value: 0.42500} + - {high: 0.50000, low: 0.45000, value: 0.47500} + - {high: 0.55000, low: 0.50000, value: 0.52500} + - {high: 0.60000, low: 0.55000, value: 0.57500} + - {high: 0.65000, low: 0.60000, value: 0.62500} + - {high: 0.70000, low: 0.65000, value: 0.67500} + - {high: 0.75000, low: 0.70000, value: 0.72500} + - {high: 0.80000, low: 0.75000, value: 0.77500} + - {high: 0.85000, low: 0.80000, value: 0.82500} + - {high: 0.90000, low: 0.85000, value: 0.87500} + - {high: 0.95000, low: 0.90000, value: 0.92500} + - {high: 1.00000, low: 0.95000, value: 0.97500} + - {high: 1.05000, low: 1.00000, value: 1.02500} + - {high: 1.10000, low: 1.05000, value: 1.07500} + - {high: 1.15000, low: 1.10000, value: 1.12500} + - {high: 1.20000, low: 1.15000, value: 1.17500} + - {high: 1.25000, low: 1.20000, value: 1.22500} diff --git a/data/BESIII_PI_PLUS_2p9000.yaml b/data/BESIII_PI_PLUS_2p9000.yaml new file mode 100644 index 000000000..a85151f51 --- /dev/null +++ b/data/BESIII_PI_PLUS_2p9000.yaml @@ -0,0 +1,130 @@ +dependent_variables: +- header: {title: "BESIII $\pi^+$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 2.9 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: PI} + - {name: charge, value: +1} + values: + - errors: + - {label: unc, value: 0.18710} + value: 3.47000 + - errors: + - {label: unc, value: 0.18510} + value: 3.63300 + - errors: + - {label: unc, value: 0.13913} + value: 3.45500 + - errors: + - {label: unc, value: 0.08421} + value: 3.12800 + - errors: + - {label: unc, value: 0.03140} + value: 2.71200 + - errors: + - {label: unc, value: 0.01208} + value: 2.29900 + - errors: + - {label: unc, value: 0.03324} + value: 1.90600 + - errors: + - {label: unc, value: 0.04518} + value: 1.54500 + - errors: + - {label: unc, value: 0.05116} + value: 1.26600 + - errors: + - {label: unc, value: 0.05608} + value: 1.01400 + - errors: + - {label: unc, value: 0.05608} + value: 0.82800 + - errors: + - {label: unc, value: 0.05408} + value: 0.67500 + - errors: + - {label: unc, value: 0.04510} + value: 0.55100 + - errors: + - {label: unc, value: 0.04405} + value: 0.43900 + - errors: + - {label: unc, value: 0.04405} + value: 0.34700 + - errors: + - {label: unc, value: 0.04205} + value: 0.27900 + - errors: + - {label: unc, value: 0.03606} + value: 0.22600 + - errors: + - {label: unc, value: 0.03106} + value: 0.18200 + - errors: + - {label: unc, value: 0.02807} + value: 0.16500 + - errors: + - {label: unc, value: 0.02608} + value: 0.13300 + - errors: + - {label: unc, value: 0.02002} + value: 0.08900 + - errors: + - {label: unc, value: 0.01204} + value: 0.04300 + - errors: + - {label: unc, value: 0.00224} + value: 0.01800 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.41573, low: 0.33259, value: 0.37416, factor: 0.28601} + - {high: 0.42516, low: 0.35430, value: 0.38973, factor: 0.33561} + - {high: 0.43898, low: 0.37627, value: 0.40762, factor: 0.37922} + - {high: 0.45606, low: 0.39905, value: 0.42755, factor: 0.41716} + - {high: 0.47568, low: 0.42283, value: 0.44925, factor: 0.44995} + - {high: 0.49734, low: 0.44761, value: 0.47247, factor: 0.47817} + - {high: 0.52067, low: 0.47334, value: 0.49700, factor: 0.50242} + - {high: 0.54538, low: 0.49993, value: 0.52266, factor: 0.52326} + - {high: 0.57125, low: 0.52731, value: 0.54928, factor: 0.54119} + - {high: 0.59810, low: 0.55538, value: 0.57674, factor: 0.55666} + - {high: 0.62577, low: 0.58405, value: 0.60491, factor: 0.57005} + - {high: 0.65415, low: 0.61327, value: 0.63371, factor: 0.58167} + - {high: 0.68315, low: 0.64296, value: 0.66305, factor: 0.59179} + - {high: 0.71267, low: 0.67307, value: 0.69287, factor: 0.60065} + - {high: 0.74264, low: 0.70356, value: 0.72310, factor: 0.60843} + - {high: 0.77302, low: 0.73437, value: 0.75370, factor: 0.61528} + - {high: 0.80375, low: 0.76548, value: 0.78461, factor: 0.62134} + - {high: 0.83479, low: 0.79685, value: 0.81582, factor: 0.62673} + - {high: 0.86611, low: 0.82845, value: 0.84728, factor: 0.63153} + - {high: 0.89766, low: 0.86026, value: 0.87896, factor: 0.63582} + - {high: 0.92944, low: 0.89226, value: 0.91085, factor: 0.63966} + - {high: 0.96141, low: 0.92443, value: 0.94292, factor: 0.64313} + - {high: 0.99356, low: 0.95676, value: 0.97516, factor: 0.64626} +- header: {name: "ph"} + values: + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.45000, low: 0.40000, value: 0.42500} + - {high: 0.50000, low: 0.45000, value: 0.47500} + - {high: 0.55000, low: 0.50000, value: 0.52500} + - {high: 0.60000, low: 0.55000, value: 0.57500} + - {high: 0.65000, low: 0.60000, value: 0.62500} + - {high: 0.70000, low: 0.65000, value: 0.67500} + - {high: 0.75000, low: 0.70000, value: 0.72500} + - {high: 0.80000, low: 0.75000, value: 0.77500} + - {high: 0.85000, low: 0.80000, value: 0.82500} + - {high: 0.90000, low: 0.85000, value: 0.87500} + - {high: 0.95000, low: 0.90000, value: 0.92500} + - {high: 1.00000, low: 0.95000, value: 0.97500} + - {high: 1.05000, low: 1.00000, value: 1.02500} + - {high: 1.10000, low: 1.05000, value: 1.07500} + - {high: 1.15000, low: 1.10000, value: 1.12500} + - {high: 1.20000, low: 1.15000, value: 1.17500} + - {high: 1.25000, low: 1.20000, value: 1.22500} + - {high: 1.30000, low: 1.25000, value: 1.27500} + - {high: 1.35000, low: 1.30000, value: 1.32500} diff --git a/data/BESIII_PI_PLUS_3p0500.yaml b/data/BESIII_PI_PLUS_3p0500.yaml new file mode 100644 index 000000000..89fad1c00 --- /dev/null +++ b/data/BESIII_PI_PLUS_3p0500.yaml @@ -0,0 +1,135 @@ +dependent_variables: +- header: {title: "BESIII $\pi^+$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 3.05 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: PI} + - {name: charge, value: +1} + values: + - errors: + - {label: unc, value: 0.45835} + value: 3.51800 + - errors: + - {label: unc, value: 0.45935} + value: 3.66200 + - errors: + - {label: unc, value: 0.41035} + value: 3.50000 + - errors: + - {label: unc, value: 0.33838} + value: 3.15700 + - errors: + - {label: unc, value: 0.29538} + value: 2.76900 + - errors: + - {label: unc, value: 0.26032} + value: 2.32400 + - errors: + - {label: unc, value: 0.20934} + value: 1.94800 + - errors: + - {label: unc, value: 0.16437} + value: 1.62100 + - errors: + - {label: unc, value: 0.14435} + value: 1.31900 + - errors: + - {label: unc, value: 0.12034} + value: 1.04700 + - errors: + - {label: unc, value: 0.10331} + value: 0.86200 + - errors: + - {label: unc, value: 0.09534} + value: 0.70600 + - errors: + - {label: unc, value: 0.07931} + value: 0.56300 + - errors: + - {label: unc, value: 0.06836} + value: 0.47000 + - errors: + - {label: unc, value: 0.06129} + value: 0.37900 + - errors: + - {label: unc, value: 0.05632} + value: 0.31600 + - errors: + - {label: unc, value: 0.05324} + value: 0.24700 + - errors: + - {label: unc, value: 0.04031} + value: 0.18600 + - errors: + - {label: unc, value: 0.04031} + value: 0.16000 + - errors: + - {label: unc, value: 0.02927} + value: 0.13000 + - errors: + - {label: unc, value: 0.02729} + value: 0.12000 + - errors: + - {label: unc, value: 0.02729} + value: 0.09200 + - errors: + - {label: unc, value: 0.02121} + value: 0.06000 + - errors: + - {label: unc, value: 0.01020} + value: 0.02700 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.39529, low: 0.31623, value: 0.35576, factor: 0.27195} + - {high: 0.40425, low: 0.33687, value: 0.37056, factor: 0.31911} + - {high: 0.41739, low: 0.35776, value: 0.38757, factor: 0.36057} + - {high: 0.43363, low: 0.37942, value: 0.40653, factor: 0.39665} + - {high: 0.45228, low: 0.40203, value: 0.42716, factor: 0.42782} + - {high: 0.47288, low: 0.42559, value: 0.44924, factor: 0.45465} + - {high: 0.49506, low: 0.45006, value: 0.47256, factor: 0.47771} + - {high: 0.51856, low: 0.47535, value: 0.49695, factor: 0.49752} + - {high: 0.54316, low: 0.50138, value: 0.52227, factor: 0.51457} + - {high: 0.56868, low: 0.52806, value: 0.54837, factor: 0.52928} + - {high: 0.59499, low: 0.55533, value: 0.57516, factor: 0.54201} + - {high: 0.62198, low: 0.58311, value: 0.60254, factor: 0.55306} + - {high: 0.64955, low: 0.61134, value: 0.63044, factor: 0.56269} + - {high: 0.67762, low: 0.63997, value: 0.65879, factor: 0.57111} + - {high: 0.70612, low: 0.66896, value: 0.68754, factor: 0.57850} + - {high: 0.73500, low: 0.69825, value: 0.71663, factor: 0.58502} + - {high: 0.76422, low: 0.72783, value: 0.74603, factor: 0.59079} + - {high: 0.79374, low: 0.75766, value: 0.77570, factor: 0.59590} + - {high: 0.82351, low: 0.78771, value: 0.80561, factor: 0.60047} + - {high: 0.85352, low: 0.81795, value: 0.83574, factor: 0.60455} + - {high: 0.88373, low: 0.84838, value: 0.86606, factor: 0.60821} + - {high: 0.91413, low: 0.87897, value: 0.89655, factor: 0.61150} + - {high: 0.94469, low: 0.90971, value: 0.92720, factor: 0.61447} + - {high: 0.97541, low: 0.94057, value: 0.95799, factor: 0.61716} +- header: {name: "ph"} + values: + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.45000, low: 0.40000, value: 0.42500} + - {high: 0.50000, low: 0.45000, value: 0.47500} + - {high: 0.55000, low: 0.50000, value: 0.52500} + - {high: 0.60000, low: 0.55000, value: 0.57500} + - {high: 0.65000, low: 0.60000, value: 0.62500} + - {high: 0.70000, low: 0.65000, value: 0.67500} + - {high: 0.75000, low: 0.70000, value: 0.72500} + - {high: 0.80000, low: 0.75000, value: 0.77500} + - {high: 0.85000, low: 0.80000, value: 0.82500} + - {high: 0.90000, low: 0.85000, value: 0.87500} + - {high: 0.95000, low: 0.90000, value: 0.92500} + - {high: 1.00000, low: 0.95000, value: 0.97500} + - {high: 1.05000, low: 1.00000, value: 1.02500} + - {high: 1.10000, low: 1.05000, value: 1.07500} + - {high: 1.15000, low: 1.10000, value: 1.12500} + - {high: 1.20000, low: 1.15000, value: 1.17500} + - {high: 1.25000, low: 1.20000, value: 1.22500} + - {high: 1.30000, low: 1.25000, value: 1.27500} + - {high: 1.35000, low: 1.30000, value: 1.32500} + - {high: 1.40000, low: 1.35000, value: 1.37500} diff --git a/data/BESIII_PI_PLUS_3p5000.yaml b/data/BESIII_PI_PLUS_3p5000.yaml new file mode 100644 index 000000000..6aa484d76 --- /dev/null +++ b/data/BESIII_PI_PLUS_3p5000.yaml @@ -0,0 +1,140 @@ +dependent_variables: +- header: {title: "BESIII $\pi^+$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 3.5 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: PI} + - {name: charge, value: +1} + values: + - errors: + - {label: unc, value: 0.35427} + value: 3.68000 + - errors: + - {label: unc, value: 0.34234} + value: 3.86200 + - errors: + - {label: unc, value: 0.27563} + value: 3.60600 + - errors: + - {label: unc, value: 0.20617} + value: 3.31900 + - errors: + - {label: unc, value: 0.12130} + value: 2.80300 + - errors: + - {label: unc, value: 0.05408} + value: 2.48700 + - errors: + - {label: unc, value: 0.03406} + value: 2.01400 + - errors: + - {label: unc, value: 0.06648} + value: 1.69100 + - errors: + - {label: unc, value: 0.08008} + value: 1.36300 + - errors: + - {label: unc, value: 0.09415} + value: 1.13100 + - errors: + - {label: unc, value: 0.09866} + value: 0.91700 + - errors: + - {label: unc, value: 0.10127} + value: 0.75900 + - errors: + - {label: unc, value: 0.08828} + value: 0.59900 + - errors: + - {label: unc, value: 0.08220} + value: 0.49700 + - errors: + - {label: unc, value: 0.06923} + value: 0.40600 + - errors: + - {label: unc, value: 0.06119} + value: 0.32800 + - errors: + - {label: unc, value: 0.05434} + value: 0.29600 + - errors: + - {label: unc, value: 0.04754} + value: 0.26500 + - errors: + - {label: unc, value: 0.03669} + value: 0.20500 + - errors: + - {label: unc, value: 0.03162} + value: 0.18300 + - errors: + - {label: unc, value: 0.02941} + value: 0.14700 + - errors: + - {label: unc, value: 0.02563} + value: 0.13100 + - errors: + - {label: unc, value: 0.02563} + value: 0.11300 + - errors: + - {label: unc, value: 0.01746} + value: 0.07600 + - errors: + - {label: unc, value: 0.01655} + value: 0.06900 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.34447, low: 0.27557, value: 0.31002, factor: 0.23698} + - {high: 0.35227, low: 0.29356, value: 0.32292, factor: 0.27808} + - {high: 0.36372, low: 0.31176, value: 0.33774, factor: 0.31421} + - {high: 0.37788, low: 0.33064, value: 0.35426, factor: 0.34565} + - {high: 0.39413, low: 0.35034, value: 0.37224, factor: 0.37281} + - {high: 0.41208, low: 0.37087, value: 0.39148, factor: 0.39620} + - {high: 0.43141, low: 0.39219, value: 0.41180, factor: 0.41629} + - {high: 0.45189, low: 0.41423, value: 0.43306, factor: 0.43356} + - {high: 0.47332, low: 0.43691, value: 0.45512, factor: 0.44842} + - {high: 0.49557, low: 0.46017, value: 0.47787, factor: 0.46123} + - {high: 0.51850, low: 0.48393, value: 0.50121, factor: 0.47232} + - {high: 0.54201, low: 0.50814, value: 0.52507, factor: 0.48195} + - {high: 0.56603, low: 0.53274, value: 0.54939, factor: 0.49034} + - {high: 0.59049, low: 0.55769, value: 0.57409, factor: 0.49768} + - {high: 0.61533, low: 0.58295, value: 0.59914, factor: 0.50412} + - {high: 0.64050, low: 0.60848, value: 0.62449, factor: 0.50980} + - {high: 0.66597, low: 0.63425, value: 0.65011, factor: 0.51483} + - {high: 0.69168, low: 0.66024, value: 0.67596, factor: 0.51929} + - {high: 0.71763, low: 0.68643, value: 0.70203, factor: 0.52326} + - {high: 0.74378, low: 0.71279, value: 0.72828, factor: 0.52682} + - {high: 0.77011, low: 0.73930, value: 0.75471, factor: 0.53001} + - {high: 0.79660, low: 0.76596, value: 0.78128, factor: 0.53288} + - {high: 0.82323, low: 0.79274, value: 0.80799, factor: 0.53547} + - {high: 0.85000, low: 0.81964, value: 0.83482, factor: 0.53781} + - {high: 0.87689, low: 0.84665, value: 0.86177, factor: 0.53994} +- header: {name: "ph"} + values: + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.45000, low: 0.40000, value: 0.42500} + - {high: 0.50000, low: 0.45000, value: 0.47500} + - {high: 0.55000, low: 0.50000, value: 0.52500} + - {high: 0.60000, low: 0.55000, value: 0.57500} + - {high: 0.65000, low: 0.60000, value: 0.62500} + - {high: 0.70000, low: 0.65000, value: 0.67500} + - {high: 0.75000, low: 0.70000, value: 0.72500} + - {high: 0.80000, low: 0.75000, value: 0.77500} + - {high: 0.85000, low: 0.80000, value: 0.82500} + - {high: 0.90000, low: 0.85000, value: 0.87500} + - {high: 0.95000, low: 0.90000, value: 0.92500} + - {high: 1.00000, low: 0.95000, value: 0.97500} + - {high: 1.05000, low: 1.00000, value: 1.02500} + - {high: 1.10000, low: 1.05000, value: 1.07500} + - {high: 1.15000, low: 1.10000, value: 1.12500} + - {high: 1.20000, low: 1.15000, value: 1.17500} + - {high: 1.25000, low: 1.20000, value: 1.22500} + - {high: 1.30000, low: 1.25000, value: 1.27500} + - {high: 1.35000, low: 1.30000, value: 1.32500} + - {high: 1.40000, low: 1.35000, value: 1.37500} + - {high: 1.45000, low: 1.40000, value: 1.42500} diff --git a/data/BESIII_PI_PLUS_3p6710.yaml b/data/BESIII_PI_PLUS_3p6710.yaml new file mode 100644 index 000000000..61687315c --- /dev/null +++ b/data/BESIII_PI_PLUS_3p6710.yaml @@ -0,0 +1,140 @@ +dependent_variables: +- header: {title: "BESIII $\pi^+$ Multiplicity"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 3.671 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: PI} + - {name: charge, value: +1} + values: + - errors: + - {label: unc, value: 0.29942} + value: 3.79200 + - errors: + - {label: unc, value: 0.28455} + value: 3.96600 + - errors: + - {label: unc, value: 0.23394} + value: 3.76300 + - errors: + - {label: unc, value: 0.16162} + value: 3.37600 + - errors: + - {label: unc, value: 0.08896} + value: 2.95400 + - errors: + - {label: unc, value: 0.04393} + value: 2.50000 + - errors: + - {label: unc, value: 0.03821} + value: 2.05500 + - errors: + - {label: unc, value: 0.06001} + value: 1.72800 + - errors: + - {label: unc, value: 0.06957} + value: 1.40300 + - errors: + - {label: unc, value: 0.07666} + value: 1.14700 + - errors: + - {label: unc, value: 0.08005} + value: 0.91500 + - errors: + - {label: unc, value: 0.08374} + value: 0.79000 + - errors: + - {label: unc, value: 0.07767} + value: 0.63700 + - errors: + - {label: unc, value: 0.08533} + value: 0.54500 + - errors: + - {label: unc, value: 0.07120} + value: 0.44200 + - errors: + - {label: unc, value: 0.06727} + value: 0.37900 + - errors: + - {label: unc, value: 0.05727} + value: 0.29500 + - errors: + - {label: unc, value: 0.05217} + value: 0.25700 + - errors: + - {label: unc, value: 0.04438} + value: 0.20400 + - errors: + - {label: unc, value: 0.03833} + value: 0.18100 + - errors: + - {label: unc, value: 0.03421} + value: 0.15700 + - errors: + - {label: unc, value: 0.02941} + value: 0.13000 + - errors: + - {label: unc, value: 0.03008} + value: 0.12200 + - errors: + - {label: unc, value: 0.02625} + value: 0.09700 + - errors: + - {label: unc, value: 0.02404} + value: 0.07200 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.32842, low: 0.26274, value: 0.29558, factor: 0.22594} + - {high: 0.33586, low: 0.27989, value: 0.30787, factor: 0.26512} + - {high: 0.34678, low: 0.29724, value: 0.32201, factor: 0.29957} + - {high: 0.36027, low: 0.31524, value: 0.33776, factor: 0.32955} + - {high: 0.37577, low: 0.33402, value: 0.35490, factor: 0.35545} + - {high: 0.39289, low: 0.35360, value: 0.37324, factor: 0.37774} + - {high: 0.41132, low: 0.37392, value: 0.39262, factor: 0.39690} + - {high: 0.43084, low: 0.39494, value: 0.41289, factor: 0.41336} + - {high: 0.45127, low: 0.41656, value: 0.43392, factor: 0.42753} + - {high: 0.47248, low: 0.43873, value: 0.45561, factor: 0.43975} + - {high: 0.49434, low: 0.46139, value: 0.47787, factor: 0.45032} + - {high: 0.51676, low: 0.48447, value: 0.50062, factor: 0.45950} + - {high: 0.53967, low: 0.50792, value: 0.52380, factor: 0.46750} + - {high: 0.56299, low: 0.53171, value: 0.54735, factor: 0.47450} + - {high: 0.58667, low: 0.55579, value: 0.57123, factor: 0.48064} + - {high: 0.61067, low: 0.58013, value: 0.59540, factor: 0.48606} + - {high: 0.63494, low: 0.60471, value: 0.61983, factor: 0.49085} + - {high: 0.65947, low: 0.62949, value: 0.64448, factor: 0.49510} + - {high: 0.68420, low: 0.65445, value: 0.66933, factor: 0.49889} + - {high: 0.70913, low: 0.67959, value: 0.69436, factor: 0.50228} + - {high: 0.73424, low: 0.70487, value: 0.71955, factor: 0.50532} + - {high: 0.75949, low: 0.73028, value: 0.74489, factor: 0.50806} + - {high: 0.78489, low: 0.75582, value: 0.77035, factor: 0.51053} + - {high: 0.81041, low: 0.78146, value: 0.79594, factor: 0.51276} + - {high: 0.83604, low: 0.80721, value: 0.82162, factor: 0.51479} +- header: {name: "ph"} + values: + - {high: 0.25000, low: 0.20000, value: 0.22500} + - {high: 0.30000, low: 0.25000, value: 0.27500} + - {high: 0.35000, low: 0.30000, value: 0.32500} + - {high: 0.40000, low: 0.35000, value: 0.37500} + - {high: 0.45000, low: 0.40000, value: 0.42500} + - {high: 0.50000, low: 0.45000, value: 0.47500} + - {high: 0.55000, low: 0.50000, value: 0.52500} + - {high: 0.60000, low: 0.55000, value: 0.57500} + - {high: 0.65000, low: 0.60000, value: 0.62500} + - {high: 0.70000, low: 0.65000, value: 0.67500} + - {high: 0.75000, low: 0.70000, value: 0.72500} + - {high: 0.80000, low: 0.75000, value: 0.77500} + - {high: 0.85000, low: 0.80000, value: 0.82500} + - {high: 0.90000, low: 0.85000, value: 0.87500} + - {high: 0.95000, low: 0.90000, value: 0.92500} + - {high: 1.00000, low: 0.95000, value: 0.97500} + - {high: 1.05000, low: 1.00000, value: 1.02500} + - {high: 1.10000, low: 1.05000, value: 1.07500} + - {high: 1.15000, low: 1.10000, value: 1.12500} + - {high: 1.20000, low: 1.15000, value: 1.17500} + - {high: 1.25000, low: 1.20000, value: 1.22500} + - {high: 1.30000, low: 1.25000, value: 1.27500} + - {high: 1.35000, low: 1.30000, value: 1.32500} + - {high: 1.40000, low: 1.35000, value: 1.37500} + - {high: 1.45000, low: 1.40000, value: 1.42500} diff --git a/data/rawdata/pion/BESIII/Table_PIm.csv b/data/rawdata/pion/BESIII/Table_PIm.csv new file mode 100644 index 000000000..cfe73d0ec --- /dev/null +++ b/data/rawdata/pion/BESIII/Table_PIm.csv @@ -0,0 +1,27 @@ +pt min,pt_max,cv,stat,syst,cv,stat,syst,cv,stat,syst,cv,stat,syst,cv,stat,syst,cv,stat,syst,cv,stat,syst,cv,stat,syst +,,2,,,2.2,,,2.396,,,2.6444,,,2.9,,,3.05,,,3.5,,,3.671,, +0.2,0.25,3.062,0.014,0.081,3.329,0.013,0.063,3.28,0.006,0.083,3.45,0.01,0.146,3.53,0.006,0.194,3.542,0.018,0.46,3.666,0.04,0.343,3.804,0.038,0.294 +0.25,0.3,3.23,0.014,0.106,3.509,0.013,0.096,3.467,0.006,0.092,3.586,0.01,0.115,3.668,0.006,0.185,3.678,0.018,0.45,3.824,0.039,0.341,4.033,0.039,0.292 +0.3,0.35,3.077,0.013,0.118,3.255,0.012,0.105,3.325,0.006,0.072,3.401,0.01,0.109,3.507,0.006,0.146,3.498,0.017,0.425,3.752,0.038,0.283,3.809,0.037,0.221 +0.35,0.4,2.708,0.012,0.099,2.828,0.011,0.091,2.979,0.006,0.043,3.019,0.009,0.062,3.144,0.006,0.082,3.174,0.016,0.354,3.375,0.036,0.21,3.483,0.035,0.158 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+1.35,1.4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.027,0.002,0.01,0.076,0.007,0.016,0.097,0.008,0.025 +1.4,1.45,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.069,0.007,0.015,0.072,0.007,0.023 diff --git a/data/rawdata/pion/filter.py b/data/rawdata/pion/filter.py index e95c7ce46..d6a1c5026 100644 --- a/data/rawdata/pion/filter.py +++ b/data/rawdata/pion/filter.py @@ -5,6 +5,150 @@ mKA = 0.493677 # GeV +# BESIII - inclusive PI+ +def filter_BESIII_PIp(): + nameexps = ['BESIII_PI_PLUS_2p0000', + 'BESIII_PI_PLUS_2p2000', + 'BESIII_PI_PLUS_2p3960', + 'BESIII_PI_PLUS_2p6444', + 'BESIII_PI_PLUS_2p9000', + 'BESIII_PI_PLUS_3p0500', + 'BESIII_PI_PLUS_3p5000', + 'BESIII_PI_PLUS_3p6710'] + infile = 'BESIII/Table_PIp.csv' + ndata = [15, 17, 19, 21, 23, 24, 25, 25] + cme = [2.0000, 2.2000, 2.3960, 2.6444, 2.9000, 3.0500, 3.5000, 3.6710] #GeV + zmin = 0.011 # to be checked + zmax = 0.800 # to be checked + + l = 0 + i = 2 + j = 3 + k = 4 + + for nameexp in nameexps: + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=2, + sep=',', + header=None, + usecols=[0,1,i,j,k], + engine='python') + + data = data.drop(data[data[i] == 0.].index) + cval = data[i] + stat = data[j] + syst = data[k] + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "BESIII $\pi^+$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme[l], ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: PI}', file=f) + print(' - {name: charge, value: +1}', file=f) + print(' values:', file=f) + + for p in range(ndata[l]): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(stat.iloc[p]**2. + syst.iloc[p]**2.)), file=f) + print(' value: %7.5f' % (cval.iloc[p]), file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for p in range(ndata[l]): + factor = np.sqrt(1. + mKA**2./((data.iloc[p,0] + data.iloc[p,1])/2.)**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (2./cme[l] * factor * data.iloc[p,1], 2./cme[l] * factor * data.iloc[p,0], 2./cme[l] * factor * (data.iloc[p,0] + data.iloc[p,1])/2., 2./cme[l]/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for p in range(ndata[l]): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[p,1], data.iloc[p,0], (data.iloc[p,0]+data.iloc[p,1])/2.) , file=f) + + l = l + 1 + i = i + 3 + j = j + 3 + k = k + 3 + +# BESIII - inclusive PI- +def filter_BESIII_PIm(): + nameexps = ['BESIII_PI_MINUS_2p0000', + 'BESIII_PI_MINUS_2p2000', + 'BESIII_PI_MINUS_2p3960', + 'BESIII_PI_MINUS_2p6444', + 'BESIII_PI_MINUS_2p9000', + 'BESIII_PI_MINUS_3p0500', + 'BESIII_PI_MINUS_3p5000', + 'BESIII_PI_MINUS_3p6710'] + infile = 'BESIII/Table_PIm.csv' + ndata = [15, 17, 19, 21, 23, 24, 25, 25] + cme = [2.0000, 2.2000, 2.3960, 2.6444, 2.9000, 3.0500, 3.5000, 3.6710] #GeV + zmin = 0.011 # to be checked + zmax = 0.800 # to be checked + + l = 0 + i = 2 + j = 3 + k = 4 + + for nameexp in nameexps: + + data = pd.read_csv( + infile, + dtype={"user_ld": float}, + skiprows=2, + sep=',', + header=None, + usecols=[0,1,i,j,k], + engine='python') + + data = data.drop(data[data[i] == 0.].index) + cval = data[i] + stat = data[j] + syst = data[k] + + with open(nameexp + '.yaml', 'w') as f: + print('dependent_variables:', file=f) + print('- header: {title: "BESIII $\pi^-$ Multiplicity"}', file=f) + print(' qualifiers:', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: Vs, value: ', cme[l], ', units: GeV}', file=f) + print(' - {name: prefactor, value: 1}', file=f) + print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) + print(' - {name: hadron, value: PI}', file=f) + print(' - {name: charge, value: -1}', file=f) + print(' values:', file=f) + + for p in range(ndata[l]): + print(' - errors:', file=f) + print(' - {label: unc, value: %7.5f}' % (np.sqrt(stat.iloc[p]**2. + syst.iloc[p]**2.)), file=f) + print(' value: %7.5f' % (cval.iloc[p]), file=f) + + print('independent_variables:', file=f) + print('- header: {name: "z"}', file=f) + print(' values:', file=f) + for p in range(ndata[l]): + factor = np.sqrt(1. + mKA**2./((data.iloc[p,0] + data.iloc[p,1])/2.)**2.) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' + % (2./cme[l] * factor * data.iloc[p,1], 2./cme[l] * factor * data.iloc[p,0], 2./cme[l] * factor * (data.iloc[p,0] + data.iloc[p,1])/2., 2./cme[l]/factor), file=f) + print('- header: {name: "ph"}', file=f) + print(' values:', file=f) + for p in range(ndata[l]): + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[p,1], data.iloc[p,0], (data.iloc[p,0]+data.iloc[p,1])/2.) , file=f) + + l = l + 1 + i = i + 3 + j = j + 3 + k = k + 3 + # BELLE - inclusive def filter_BELLE_KA(): nameexp = 'BELLE_KA_PLUS_MINUS' @@ -1374,5 +1518,7 @@ def filter_COMPASS_PI_MINUS_2024(): #filter_SLD_KA_B() #filter_COMPASS_PI_PLUS() #filter_COMPASS_PI_MINUS() -filter_COMPASS_PI_PLUS_2024() -filter_COMPASS_PI_MINUS_2024() +#filter_COMPASS_PI_PLUS_2024() +#filter_COMPASS_PI_MINUS_2024() +filter_BESIII_PIp() +filter_BESIII_PIm() From 2d5be6c9b7321ad5e0fdfbda6e2f1bc24f77cd47 Mon Sep 17 00:00:00 2001 From: vbertone Date: Mon, 16 Jun 2025 15:12:23 +0200 Subject: [PATCH 25/29] Implementing SIA FL --- data/ALEPH_HA_L_PLUS_MINUS.yaml | 3 +- data/DELPHI_HA_L_PLUS_MINUS.yaml | 3 +- data/DELPHI_HA_L_PLUS_MINUS_B.yaml | 3 +- data/DELPHI_HA_L_PLUS_MINUS_UDS.yaml | 3 +- data/OPAL_HA_L_PLUS_MINUS.yaml | 3 +- data/SLD_PR_PLUS_MINUS_B.yaml.bkp | 232 +++++++++++++++++++++++++ data/rawdata/charged_hadrons/filter.py | 15 +- src/predictions/predictionshandler.cc | 16 +- 8 files changed, 262 insertions(+), 16 deletions(-) create mode 100644 data/SLD_PR_PLUS_MINUS_B.yaml.bkp diff --git a/data/ALEPH_HA_L_PLUS_MINUS.yaml b/data/ALEPH_HA_L_PLUS_MINUS.yaml index ea58761a4..961182178 100644 --- a/data/ALEPH_HA_L_PLUS_MINUS.yaml +++ b/data/ALEPH_HA_L_PLUS_MINUS.yaml @@ -1,7 +1,8 @@ dependent_variables: - header: {title: "ALEPH longitudinal $h^\\pm$ Multiplicity"} qualifiers: - - {name: process, value: SIA_L} + - {name: process, value: SIA} + - {name: observable, value: FL} - {name: Vs, value: 91.2 , units: GeV} - {name: prefactor, value: 1} - {name: z, low: 0.01 , high: 0.9 , integrate: false} diff --git a/data/DELPHI_HA_L_PLUS_MINUS.yaml b/data/DELPHI_HA_L_PLUS_MINUS.yaml index a05361df5..f5cd13426 100644 --- a/data/DELPHI_HA_L_PLUS_MINUS.yaml +++ b/data/DELPHI_HA_L_PLUS_MINUS.yaml @@ -1,7 +1,8 @@ dependent_variables: - header: {title: "DELPHI longitudinal $h^\\pm$ Multiplicity"} qualifiers: - - {name: process, value: SIA_L} + - {name: process, value: SIA} + - {name: observable, value: FL} - {name: Vs, value: 91.2 , units: GeV} - {name: prefactor, value: 1} - {name: z, low: 0.005 , high: 0.9 , integrate: false} diff --git a/data/DELPHI_HA_L_PLUS_MINUS_B.yaml b/data/DELPHI_HA_L_PLUS_MINUS_B.yaml index 2170f1dba..66f625e5d 100644 --- a/data/DELPHI_HA_L_PLUS_MINUS_B.yaml +++ b/data/DELPHI_HA_L_PLUS_MINUS_B.yaml @@ -1,7 +1,8 @@ dependent_variables: - header: {title: "DELPHI longitudinal $h^\\pm$ Multiplicity b-tag"} qualifiers: - - {name: process, value: SIA_L} + - {name: process, value: SIA} + - {name: observable, value: FL} - {name: Vs, value: 91.2 , units: GeV} - {name: prefactor, value: 1} - {name: z, low: 0.005 , high: 0.9 , integrate: false} diff --git a/data/DELPHI_HA_L_PLUS_MINUS_UDS.yaml b/data/DELPHI_HA_L_PLUS_MINUS_UDS.yaml index 6ceaad1c5..3adc17b97 100644 --- a/data/DELPHI_HA_L_PLUS_MINUS_UDS.yaml +++ b/data/DELPHI_HA_L_PLUS_MINUS_UDS.yaml @@ -1,7 +1,8 @@ dependent_variables: - header: {title: "DELPHI longitudinal $h^\\pm$ Multiplicity uds-tag"} qualifiers: - - {name: process, value: SIA_L} + - {name: process, value: SIA} + - {name: observable, value: FL} - {name: Vs, value: 91.2 , units: GeV} - {name: prefactor, value: 1} - {name: z, low: 0.005 , high: 0.9 , integrate: false} diff --git a/data/OPAL_HA_L_PLUS_MINUS.yaml b/data/OPAL_HA_L_PLUS_MINUS.yaml index d2a1c2b1c..2eb1c82b2 100644 --- a/data/OPAL_HA_L_PLUS_MINUS.yaml +++ b/data/OPAL_HA_L_PLUS_MINUS.yaml @@ -1,7 +1,8 @@ dependent_variables: - header: {title: "OPAL longitudinal $h^\\pm$ Multiplicity"} qualifiers: - - {name: process, value: SIA_L} + - {name: process, value: SIA} + - {name: observable, value: FL} - {name: Vs, value: 91.2 , units: GeV} - {name: prefactor, value: 1} - {name: z, low: 0.005 , high: 0.9 , integrate: false} diff --git a/data/SLD_PR_PLUS_MINUS_B.yaml.bkp b/data/SLD_PR_PLUS_MINUS_B.yaml.bkp new file mode 100644 index 000000000..20c6f9472 --- /dev/null +++ b/data/SLD_PR_PLUS_MINUS_B.yaml.bkp @@ -0,0 +1,232 @@ +dependent_variables: +- header: {title: "SLD $p+\\bar{p}$ Multiplicity b-tag"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 91.2 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: PR} + - {name: charge, value: 0} + - {name: tagging, value: [b]} + values: + - errors: + - {label: unc, value: 1.49000} + - {label: mult, value: 0.01} + value: 13.79 + - errors: + - {label: unc, value: 0.78000} + - {label: mult, value: 0.01} + value: 17.93 + - errors: + - {label: unc, value: 0.93000} + - {label: mult, value: 0.01} + value: 16.41 + - errors: + - {label: unc, value: 0.52000} + - {label: mult, value: 0.01} + value: 12.11 + - errors: + - {label: unc, value: 0.42000} + - {label: mult, value: 0.01} + value: 10.32 + - errors: + - {label: unc, value: 0.40000} + - {label: mult, value: 0.01} + value: 9.52 + - errors: + - {label: unc, value: 0.36000} + - {label: mult, value: 0.01} + value: 7.72 + - errors: + - {label: unc, value: 0.32000} + - {label: mult, value: 0.01} + value: 6.86 + - errors: + - {label: unc, value: 0.32000} + - {label: mult, value: 0.01} + value: 6.19 + - errors: + - {label: unc, value: 0.29000} + - {label: mult, value: 0.01} + value: 4.96 + - errors: + - {label: unc, value: 0.29000} + - {label: mult, value: 0.01} + value: 4.82 + - errors: + - {label: unc, value: 0.29000} + - {label: mult, value: 0.01} + value: 4.57 + - errors: + - {label: unc, value: 0.29000} + - {label: mult, value: 0.01} + value: 4.07 + - errors: + - {label: unc, value: 0.29000} + - {label: mult, value: 0.01} + value: 3.82 + - errors: + - {label: unc, value: 0.21000} + - {label: mult, value: 0.01} + value: 3.29 + - errors: + - {label: unc, value: 0.22000} + - {label: mult, value: 0.01} + value: 2.68 + - errors: + - {label: unc, value: 0.23000} + - {label: mult, value: 0.01} + value: 2.24 + - errors: + - {label: unc, value: 0.19000} + - {label: mult, value: 0.01} + value: 1.84 + - errors: + - {label: unc, value: 0.27000} + - {label: mult, value: 0.01} + value: 1.91 + - errors: + - {label: unc, value: 0.36000} + - {label: mult, value: 0.01} + value: 1.25 + - errors: + - {label: unc, value: 0.12100} + - {label: mult, value: 0.01} + value: 0.867 + - errors: + - {label: unc, value: 0.07200} + - {label: mult, value: 0.01} + value: 0.7390000000000001 + - errors: + - {label: unc, value: 0.06000} + - {label: mult, value: 0.01} + value: 0.645 + - errors: + - {label: unc, value: 0.04700} + - {label: mult, value: 0.01} + value: 0.392 + - errors: + - {label: unc, value: 0.03800} + - {label: mult, value: 0.01} + value: 0.252 + - errors: + - {label: unc, value: 0.03500} + - {label: mult, value: 0.01} + value: 0.266 + - errors: + - {label: unc, value: 0.02200} + - {label: mult, value: 0.01} + value: 0.146 + - errors: + - {label: unc, value: 0.01800} + - {label: mult, value: 0.01} + value: 0.102 + - errors: + - {label: unc, value: 0.01200} + - {label: mult, value: 0.01} + value: 0.02 + - errors: + - {label: unc, value: 0.01100} + - {label: mult, value: 0.01} + value: 0.034 + - errors: + - {label: unc, value: 0.00700} + - {label: mult, value: 0.01} + value: -0.004 + - errors: + - {label: unc, value: 0.00600} + - {label: mult, value: 0.01} + value: 0.016 + - errors: + - {label: unc, value: 0.00300} + - {label: mult, value: 0.01} + value: -0.003 + - errors: + - {label: unc, value: 0.00200} + - {label: mult, value: 0.01} + value: 0.004 + - errors: + - {label: unc, value: 0.00100} + - {label: mult, value: 0.01} + value: -0.001 + - errors: + - {label: unc, value: 0.00100} + - {label: mult, value: 0.01} + value: 0.0 +independent_variables: +- header: {name: "z"} + values: + - {value: 0.02564, factor: 0.59670} + - {value: 0.02807, factor: 0.68033} + - {value: 0.03207, factor: 0.76705} + - {value: 0.03646, factor: 0.82554} + - {value: 0.04112, factor: 0.86579} + - {value: 0.04596, factor: 0.89420} + - {value: 0.05085, factor: 0.91447} + - {value: 0.05602, factor: 0.93009} + - {value: 0.06116, factor: 0.94172} + - {value: 0.06628, factor: 0.95058} + - {value: 0.07152, factor: 0.95773} + - {value: 0.07681, factor: 0.96345} + - {value: 0.08212, factor: 0.96810} + - {value: 0.08746, factor: 0.97193} + - {value: 0.09535, factor: 0.97644} + - {value: 0.10602, factor: 0.98098} + - {value: 0.11683, factor: 0.98437} + - {value: 0.13261, factor: 0.98789} + - {value: 0.15438, factor: 0.99108} + - {value: 0.17621, factor: 0.99316} + - {value: 0.19807, factor: 0.99459} + - {value: 0.21986, factor: 0.99561} + - {value: 0.24188, factor: 0.99638} + - {value: 0.26370, factor: 0.99695} + - {value: 0.28564, factor: 0.99740} + - {value: 0.30749, factor: 0.99776} + - {value: 0.33443, factor: 0.99811} + - {value: 0.36718, factor: 0.99843} + - {value: 0.40023, factor: 0.99868} + - {value: 0.43299, factor: 0.99887} + - {value: 0.46555, factor: 0.99902} + - {value: 0.50392, factor: 0.99917} + - {value: 0.54739, factor: 0.99929} + - {value: 0.60865, factor: 0.99943} + - {value: 0.70500, factor: 0.99957} + - {value: 0.83855, factor: 0.99970} +- header: {name: "xp"} + values: + - {value: 0.01530} + - {value: 0.01910} + - {value: 0.02460} + - {value: 0.03010} + - {value: 0.03560} + - {value: 0.04110} + - {value: 0.04650} + - {value: 0.05210} + - {value: 0.05760} + - {value: 0.06300} + - {value: 0.06850} + - {value: 0.07400} + - {value: 0.07950} + - {value: 0.08500} + - {value: 0.09310} + - {value: 0.10400} + - {value: 0.11500} + - {value: 0.13100} + - {value: 0.15300} + - {value: 0.17500} + - {value: 0.19700} + - {value: 0.21890} + - {value: 0.24100} + - {value: 0.26290} + - {value: 0.28490} + - {value: 0.30680} + - {value: 0.33380} + - {value: 0.36660} + - {value: 0.39970} + - {value: 0.43250} + - {value: 0.46510} + - {value: 0.50350} + - {value: 0.54700} + - {value: 0.60830} + - {value: 0.70470} + - {value: 0.83830} diff --git a/data/rawdata/charged_hadrons/filter.py b/data/rawdata/charged_hadrons/filter.py index 32a209c90..80b4d3316 100644 --- a/data/rawdata/charged_hadrons/filter.py +++ b/data/rawdata/charged_hadrons/filter.py @@ -290,7 +290,8 @@ def filter_ALEPH_HA_L(): print('dependent_variables:', file=f) print('- header: {title: "ALEPH longitudinal $h^\\\\pm$ Multiplicity"}', file=f) print(' qualifiers:', file=f) - print(' - {name: process, value: SIA_L}', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: observable, value: FL}', file=f) print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) print(' - {name: prefactor, value: 1}', file=f) print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) @@ -383,7 +384,8 @@ def filter_DELPHI_HA_L(): print('dependent_variables:', file=f) print('- header: {title: "DELPHI longitudinal $h^\\\\pm$ Multiplicity"}', file=f) print(' qualifiers:', file=f) - print(' - {name: process, value: SIA_L}', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: observable, value: FL}', file=f) print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) print(' - {name: prefactor, value: 1}', file=f) print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) @@ -480,7 +482,8 @@ def filter_DELPHI_HA_L_UDS(): print('dependent_variables:', file=f) print('- header: {title: "DELPHI longitudinal $h^\\\\pm$ Multiplicity uds-tag"}', file=f) print(' qualifiers:', file=f) - print(' - {name: process, value: SIA_L}', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: observable, value: FL}', file=f) print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) print(' - {name: prefactor, value: 1}', file=f) print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) @@ -573,7 +576,8 @@ def filter_DELPHI_HA_L_B(): print('dependent_variables:', file=f) print('- header: {title: "DELPHI longitudinal $h^\\\\pm$ Multiplicity b-tag"}', file=f) print(' qualifiers:', file=f) - print(' - {name: process, value: SIA_L}', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: observable, value: FL}', file=f) print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) print(' - {name: prefactor, value: 1}', file=f) print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) @@ -660,7 +664,8 @@ def filter_OPAL_HA_L(): print('dependent_variables:', file=f) print('- header: {title: "OPAL longitudinal $h^\\\\pm$ Multiplicity"}', file=f) print(' qualifiers:', file=f) - print(' - {name: process, value: SIA_L}', file=f) + print(' - {name: process, value: SIA}', file=f) + print(' - {name: observable, value: FL}', file=f) print(' - {name: Vs, value: ', cme, ', units: GeV}', file=f) print(' - {name: prefactor, value: 1}', file=f) print(' - {name: z, low: ', zmin, ', high: ',zmax, ', integrate: false}', file=f) diff --git a/src/predictions/predictionshandler.cc b/src/predictions/predictionshandler.cc index 1495c67ef..18e255db0 100644 --- a/src/predictions/predictionshandler.cc +++ b/src/predictions/predictionshandler.cc @@ -112,10 +112,14 @@ namespace MontBlanc std::map Gammaij = TabGammaij->Evaluate(Vs).GetObjects(); // Get F2 objects at the scale Vs - const apfel::StructureFunctionObjects F2Obj = apfel::InitializeF2NCObjectsZMT(*_gz, _Thresholds)(Vs, apfel::ElectroWeakCharges(Vs, true)); + apfel::StructureFunctionObjects FObj; + if (_obs == NangaParbat::DataHandler::Observable::FL) + FObj = apfel::InitializeFLNCObjectsZMT(*_gz, _Thresholds)(Vs, apfel::ElectroWeakCharges(Vs, true)); + else + FObj = apfel::InitializeF2NCObjectsZMT(*_gz, _Thresholds)(Vs, apfel::ElectroWeakCharges(Vs, true)); // Get skip vector - const std::vector skip = F2Obj.skip; + const std::vector skip = FObj.skip; // Intialise container for the FK table std::map Cj; @@ -130,11 +134,11 @@ namespace MontBlanc { // Combine perturbative contributions to the coefficient // functions - apfel::Set Ki = F2Obj.C0.at(comp); + apfel::Set Ki = FObj.C0.at(comp); if (PerturbativeOrder > 0) - Ki += ( as / apfel::FourPi ) * F2Obj.C1.at(comp); + Ki += ( as / apfel::FourPi ) * FObj.C1.at(comp); if (PerturbativeOrder > 1) - Ki += pow(as / apfel::FourPi, 2) * F2Obj.C2.at(comp); + Ki += pow(as / apfel::FourPi, 2) * FObj.C2.at(comp); // Convolute coefficient functions with the evolution // operators @@ -148,7 +152,7 @@ namespace MontBlanc gj.insert({i, Gammaij.at(apfel::Gkj.at({i, j}))}); // Convolute distributions, combine them and return. - Cj.at(j) += (Ki * apfel::Set {F2Obj.ConvBasis.at(comp), gj}).Combine(); + Cj.at(j) += (Ki * apfel::Set {FObj.ConvBasis.at(comp), gj}).Combine(); } // Update total cross sections From 72154ffc39cffd42bba94e4d4eabd3f5fc52d6ba Mon Sep 17 00:00:00 2001 From: enocera Date: Sat, 26 Jul 2025 19:57:52 +0200 Subject: [PATCH 26/29] Corrected escape --- data/BESIII_PI_MINUS_2p0000.yaml | 32 +++++++++---------- data/BESIII_PI_MINUS_2p2000.yaml | 36 +++++++++++----------- data/BESIII_PI_MINUS_2p3960.yaml | 40 ++++++++++++------------ data/BESIII_PI_MINUS_2p6444.yaml | 44 +++++++++++++------------- data/BESIII_PI_MINUS_2p9000.yaml | 48 ++++++++++++++--------------- data/BESIII_PI_MINUS_3p0500.yaml | 50 +++++++++++++++--------------- data/BESIII_PI_MINUS_3p5000.yaml | 52 +++++++++++++++---------------- data/BESIII_PI_MINUS_3p6710.yaml | 52 +++++++++++++++---------------- data/BESIII_PI_PLUS_2p0000.yaml | 32 +++++++++---------- data/BESIII_PI_PLUS_2p2000.yaml | 36 +++++++++++----------- data/BESIII_PI_PLUS_2p3960.yaml | 40 ++++++++++++------------ data/BESIII_PI_PLUS_2p6444.yaml | 44 +++++++++++++------------- data/BESIII_PI_PLUS_2p9000.yaml | 48 ++++++++++++++--------------- data/BESIII_PI_PLUS_3p0500.yaml | 50 +++++++++++++++--------------- data/BESIII_PI_PLUS_3p5000.yaml | 52 +++++++++++++++---------------- data/BESIII_PI_PLUS_3p6710.yaml | 52 +++++++++++++++---------------- data/COMPASS_PI_MINUS_2024.yaml | 2 +- data/COMPASS_PI_PLUS_2024.yaml | 2 +- data/rawdata/pion/filter.py | 53 +++++++++++++++----------------- 19 files changed, 380 insertions(+), 385 deletions(-) diff --git a/data/BESIII_PI_MINUS_2p0000.yaml b/data/BESIII_PI_MINUS_2p0000.yaml index 10da88681..b10e93f38 100644 --- a/data/BESIII_PI_MINUS_2p0000.yaml +++ b/data/BESIII_PI_MINUS_2p0000.yaml @@ -1,5 +1,5 @@ dependent_variables: -- header: {title: "BESIII $\pi^-$ Multiplicity"} +- header: {title: "BESIII $\\pi^-$ Multiplicity"} qualifiers: - {name: process, value: SIA} - {name: Vs, value: 2.0 , units: GeV} @@ -56,21 +56,21 @@ dependent_variables: independent_variables: - header: {name: "z"} values: - - {high: 0.60281, low: 0.48225, value: 0.54253, factor: 0.41472} - - {high: 0.61648, low: 0.51373, value: 0.56510, factor: 0.48664} - - {high: 0.63652, low: 0.54559, value: 0.59105, factor: 0.54987} - - {high: 0.66128, low: 0.57862, value: 0.61995, factor: 0.60488} - - {high: 0.68973, low: 0.61310, value: 0.65142, factor: 0.65243} - - {high: 0.72114, low: 0.64903, value: 0.68509, factor: 0.69334} - - {high: 0.75497, low: 0.68634, value: 0.72065, factor: 0.72851} - - {high: 0.79080, low: 0.72490, value: 0.75785, factor: 0.75872} - - {high: 0.82831, low: 0.76460, value: 0.79646, factor: 0.78473} - - {high: 0.86724, low: 0.80529, value: 0.83627, factor: 0.80716} - - {high: 0.90737, low: 0.84688, value: 0.87712, factor: 0.82657} - - {high: 0.94852, low: 0.88924, value: 0.91888, factor: 0.84342} - - {high: 0.99056, low: 0.93229, value: 0.96143, factor: 0.85810} - - {high: 1.03336, low: 0.97596, value: 1.00466, factor: 0.87094} - - {high: 1.07683, low: 1.02016, value: 1.04850, factor: 0.88222} + - {high: 0.29421, low: 0.23537, value: 0.26479, factor: 0.84973} + - {high: 0.33644, low: 0.28037, value: 0.30840, factor: 0.89169} + - {high: 0.38092, low: 0.32650, value: 0.35371, factor: 0.91882} + - {high: 0.42682, low: 0.37347, value: 0.40014, factor: 0.93717} + - {high: 0.47365, low: 0.42103, value: 0.44734, factor: 0.95006} + - {high: 0.52115, low: 0.46903, value: 0.49509, factor: 0.95942} + - {high: 0.56911, low: 0.51737, value: 0.54324, factor: 0.96642} + - {high: 0.61743, low: 0.56598, value: 0.59170, factor: 0.97177} + - {high: 0.66602, low: 0.61478, value: 0.64040, factor: 0.97595} + - {high: 0.71481, low: 0.66376, value: 0.68928, factor: 0.97928} + - {high: 0.76378, low: 0.71286, value: 0.73832, factor: 0.98196} + - {high: 0.81287, low: 0.76207, value: 0.78747, factor: 0.98416} + - {high: 0.86208, low: 0.81137, value: 0.83673, factor: 0.98598} + - {high: 0.91138, low: 0.86075, value: 0.88607, factor: 0.98751} + - {high: 0.96076, low: 0.91019, value: 0.93547, factor: 0.98880} - header: {name: "ph"} values: - {high: 0.25000, low: 0.20000, value: 0.22500} diff --git a/data/BESIII_PI_MINUS_2p2000.yaml b/data/BESIII_PI_MINUS_2p2000.yaml index ca8f46fc9..309c260af 100644 --- a/data/BESIII_PI_MINUS_2p2000.yaml +++ b/data/BESIII_PI_MINUS_2p2000.yaml @@ -1,5 +1,5 @@ dependent_variables: -- header: {title: "BESIII $\pi^-$ Multiplicity"} +- header: {title: "BESIII $\\pi^-$ Multiplicity"} qualifiers: - {name: process, value: SIA} - {name: Vs, value: 2.2 , units: GeV} @@ -62,23 +62,23 @@ dependent_variables: independent_variables: - header: {name: "z"} values: - - {high: 0.54801, low: 0.43841, value: 0.49321, factor: 0.37702} - - {high: 0.56043, low: 0.46703, value: 0.51373, factor: 0.44240} - - {high: 0.57865, low: 0.49599, value: 0.53732, factor: 0.49988} - - {high: 0.60117, low: 0.52602, value: 0.56359, factor: 0.54989} - - {high: 0.62703, low: 0.55736, value: 0.59220, factor: 0.59311} - - {high: 0.65558, low: 0.59003, value: 0.62280, factor: 0.63031} - - {high: 0.68634, low: 0.62394, value: 0.65514, factor: 0.66228} - - {high: 0.71891, low: 0.65900, value: 0.68896, factor: 0.68975} - - {high: 0.75301, low: 0.69509, value: 0.72405, factor: 0.71339} - - {high: 0.78840, low: 0.73209, value: 0.76024, factor: 0.73378} - - {high: 0.82488, low: 0.76989, value: 0.79738, factor: 0.75142} - - {high: 0.86229, low: 0.80840, value: 0.83535, factor: 0.76674} - - {high: 0.90051, low: 0.84754, value: 0.87402, factor: 0.78009} - - {high: 0.93942, low: 0.88723, value: 0.91333, factor: 0.79176} - - {high: 0.97894, low: 0.92742, value: 0.95318, factor: 0.80202} - - {high: 1.01898, low: 0.96803, value: 0.99351, factor: 0.81105} - - {high: 1.05949, low: 1.00904, value: 1.03427, factor: 0.81904} + - {high: 0.26746, low: 0.21397, value: 0.24072, factor: 0.77249} + - {high: 0.30586, low: 0.25488, value: 0.28037, factor: 0.81062} + - {high: 0.34629, low: 0.29682, value: 0.32156, factor: 0.83529} + - {high: 0.38802, low: 0.33951, value: 0.36376, factor: 0.85197} + - {high: 0.43059, low: 0.38275, value: 0.40667, factor: 0.86369} + - {high: 0.47377, low: 0.42639, value: 0.45008, factor: 0.87220} + - {high: 0.51737, low: 0.47034, value: 0.49386, factor: 0.87856} + - {high: 0.56130, low: 0.51452, value: 0.53791, factor: 0.88343} + - {high: 0.60547, low: 0.55890, value: 0.58218, factor: 0.88723} + - {high: 0.64983, low: 0.60341, value: 0.62662, factor: 0.89025} + - {high: 0.69434, low: 0.64805, value: 0.67120, factor: 0.89269} + - {high: 0.73898, low: 0.69279, value: 0.71588, factor: 0.89469} + - {high: 0.78371, low: 0.73761, value: 0.76066, factor: 0.89635} + - {high: 0.82853, low: 0.78250, value: 0.80551, factor: 0.89774} + - {high: 0.87342, low: 0.82745, value: 0.85043, factor: 0.89891} + - {high: 0.91836, low: 0.87244, value: 0.89540, factor: 0.89991} + - {high: 0.96336, low: 0.91748, value: 0.94042, factor: 0.90078} - header: {name: "ph"} values: - {high: 0.25000, low: 0.20000, value: 0.22500} diff --git a/data/BESIII_PI_MINUS_2p3960.yaml b/data/BESIII_PI_MINUS_2p3960.yaml index 70a4db30f..f1a4b4e92 100644 --- a/data/BESIII_PI_MINUS_2p3960.yaml +++ b/data/BESIII_PI_MINUS_2p3960.yaml @@ -1,5 +1,5 @@ dependent_variables: -- header: {title: "BESIII $\pi^-$ Multiplicity"} +- header: {title: "BESIII $\\pi^-$ Multiplicity"} qualifiers: - {name: process, value: SIA} - {name: Vs, value: 2.396 , units: GeV} @@ -68,25 +68,25 @@ dependent_variables: independent_variables: - header: {name: "z"} values: - - {high: 0.50318, low: 0.40255, value: 0.45287, factor: 0.34618} - - {high: 0.51459, low: 0.42882, value: 0.47171, factor: 0.40621} - - {high: 0.53132, low: 0.45541, value: 0.49337, factor: 0.45899} - - {high: 0.55199, low: 0.48299, value: 0.51749, factor: 0.50491} - - {high: 0.57574, low: 0.51177, value: 0.54375, factor: 0.54460} - - {high: 0.60196, low: 0.54176, value: 0.57186, factor: 0.57875} - - {high: 0.63019, low: 0.57290, value: 0.60155, factor: 0.60810} - - {high: 0.66010, low: 0.60509, value: 0.63260, factor: 0.63332} - - {high: 0.69141, low: 0.63823, value: 0.66482, factor: 0.65503} - - {high: 0.72391, low: 0.67220, value: 0.69805, factor: 0.67376} - - {high: 0.75740, low: 0.70691, value: 0.73215, factor: 0.68996} - - {high: 0.79175, low: 0.74227, value: 0.76701, factor: 0.70402} - - {high: 0.82685, low: 0.77821, value: 0.80253, factor: 0.71628} - - {high: 0.86257, low: 0.81465, value: 0.83861, factor: 0.72700} - - {high: 0.89886, low: 0.85155, value: 0.87520, factor: 0.73641} - - {high: 0.93563, low: 0.88885, value: 0.91224, factor: 0.74470} - - {high: 0.97282, low: 0.92650, value: 0.94966, factor: 0.75204} - - {high: 1.01039, low: 0.96446, value: 0.98743, factor: 0.75856} - - {high: 1.04829, low: 1.00271, value: 1.02550, factor: 0.76437} + - {high: 0.24558, low: 0.19647, value: 0.22103, factor: 0.70929} + - {high: 0.28084, low: 0.23403, value: 0.25743, factor: 0.74431} + - {high: 0.31797, low: 0.27254, value: 0.29525, factor: 0.76696} + - {high: 0.35628, low: 0.31174, value: 0.33401, factor: 0.78228} + - {high: 0.39537, low: 0.35144, value: 0.37341, factor: 0.79304} + - {high: 0.43501, low: 0.39151, value: 0.41326, factor: 0.80085} + - {high: 0.47505, low: 0.43187, value: 0.45346, factor: 0.80669} + - {high: 0.51538, low: 0.47244, value: 0.49391, factor: 0.81116} + - {high: 0.55594, low: 0.51318, value: 0.53456, factor: 0.81465} + - {high: 0.59667, low: 0.55405, value: 0.57536, factor: 0.81743} + - {high: 0.63754, low: 0.59504, value: 0.61629, factor: 0.81967} + - {high: 0.67853, low: 0.63612, value: 0.65732, factor: 0.82150} + - {high: 0.71960, low: 0.67727, value: 0.69844, factor: 0.82302} + - {high: 0.76075, low: 0.71849, value: 0.73962, factor: 0.82430} + - {high: 0.80197, low: 0.75976, value: 0.78086, factor: 0.82538} + - {high: 0.84324, low: 0.80108, value: 0.82216, factor: 0.82630} + - {high: 0.88455, low: 0.84243, value: 0.86349, factor: 0.82709} + - {high: 0.92591, low: 0.88382, value: 0.90486, factor: 0.82777} + - {high: 0.96730, low: 0.92524, value: 0.94627, factor: 0.82837} - header: {name: "ph"} values: - {high: 0.25000, low: 0.20000, value: 0.22500} diff --git a/data/BESIII_PI_MINUS_2p6444.yaml b/data/BESIII_PI_MINUS_2p6444.yaml index 5e19863ab..32ce2c734 100644 --- a/data/BESIII_PI_MINUS_2p6444.yaml +++ b/data/BESIII_PI_MINUS_2p6444.yaml @@ -1,5 +1,5 @@ dependent_variables: -- header: {title: "BESIII $\pi^-$ Multiplicity"} +- header: {title: "BESIII $\\pi^-$ Multiplicity"} qualifiers: - {name: process, value: SIA} - {name: Vs, value: 2.6444 , units: GeV} @@ -74,27 +74,27 @@ dependent_variables: independent_variables: - header: {name: "z"} values: - - {high: 0.45592, low: 0.36473, value: 0.41033, factor: 0.31366} - - {high: 0.46625, low: 0.38854, value: 0.42740, factor: 0.36805} - - {high: 0.48141, low: 0.41264, value: 0.44702, factor: 0.41587} - - {high: 0.50014, low: 0.43762, value: 0.46888, factor: 0.45748} - - {high: 0.52166, low: 0.46369, value: 0.49268, factor: 0.49344} - - {high: 0.54541, low: 0.49087, value: 0.51814, factor: 0.52439} - - {high: 0.57100, low: 0.51909, value: 0.54504, factor: 0.55098} - - {high: 0.59810, low: 0.54826, value: 0.57318, factor: 0.57383} - - {high: 0.62647, low: 0.57828, value: 0.60237, factor: 0.59350} - - {high: 0.65591, low: 0.60906, value: 0.63248, factor: 0.61047} - - {high: 0.68626, low: 0.64051, value: 0.66338, factor: 0.62515} - - {high: 0.71738, low: 0.67255, value: 0.69496, factor: 0.63789} - - {high: 0.74918, low: 0.70511, value: 0.72714, factor: 0.64899} - - {high: 0.78155, low: 0.73813, value: 0.75984, factor: 0.65871} - - {high: 0.81443, low: 0.77156, value: 0.79299, factor: 0.66723} - - {high: 0.84774, low: 0.80535, value: 0.82655, factor: 0.67475} - - {high: 0.88144, low: 0.83947, value: 0.86045, factor: 0.68140} - - {high: 0.91548, low: 0.87387, value: 0.89467, factor: 0.68730} - - {high: 0.94982, low: 0.90852, value: 0.92917, factor: 0.69257} - - {high: 0.98443, low: 0.94341, value: 0.96392, factor: 0.69727} - - {high: 1.01928, low: 0.97851, value: 0.99889, factor: 0.70149} + - {high: 0.22252, low: 0.17801, value: 0.20026, factor: 0.64267} + - {high: 0.25446, low: 0.21205, value: 0.23325, factor: 0.67440} + - {high: 0.28810, low: 0.24694, value: 0.26752, factor: 0.69492} + - {high: 0.32281, low: 0.28246, value: 0.30263, factor: 0.70879} + - {high: 0.35823, low: 0.31843, value: 0.33833, factor: 0.71854} + - {high: 0.39415, low: 0.35474, value: 0.37444, factor: 0.72563} + - {high: 0.43043, low: 0.39130, value: 0.41086, factor: 0.73092} + - {high: 0.46697, low: 0.42806, value: 0.44751, factor: 0.73496} + - {high: 0.50372, low: 0.46497, value: 0.48434, factor: 0.73813} + - {high: 0.54062, low: 0.50201, value: 0.52132, factor: 0.74064} + - {high: 0.57766, low: 0.53915, value: 0.55840, factor: 0.74267} + - {high: 0.61479, low: 0.57637, value: 0.59558, factor: 0.74434} + - {high: 0.65201, low: 0.61365, value: 0.63283, factor: 0.74571} + - {high: 0.68929, low: 0.65100, value: 0.67015, factor: 0.74687} + - {high: 0.72664, low: 0.68839, value: 0.70751, factor: 0.74785} + - {high: 0.76403, low: 0.72583, value: 0.74493, factor: 0.74868} + - {high: 0.80146, low: 0.76330, value: 0.78238, factor: 0.74940} + - {high: 0.83893, low: 0.80080, value: 0.81987, factor: 0.75002} + - {high: 0.87643, low: 0.83833, value: 0.85738, factor: 0.75056} + - {high: 0.91396, low: 0.87588, value: 0.89492, factor: 0.75103} + - {high: 0.95151, low: 0.91345, value: 0.93248, factor: 0.75145} - header: {name: "ph"} values: - {high: 0.25000, low: 0.20000, value: 0.22500} diff --git a/data/BESIII_PI_MINUS_2p9000.yaml b/data/BESIII_PI_MINUS_2p9000.yaml index aa662715c..8e59981c7 100644 --- a/data/BESIII_PI_MINUS_2p9000.yaml +++ b/data/BESIII_PI_MINUS_2p9000.yaml @@ -1,5 +1,5 @@ dependent_variables: -- header: {title: "BESIII $\pi^-$ Multiplicity"} +- header: {title: "BESIII $\\pi^-$ Multiplicity"} qualifiers: - {name: process, value: SIA} - {name: Vs, value: 2.9 , units: GeV} @@ -80,29 +80,29 @@ dependent_variables: independent_variables: - header: {name: "z"} values: - - {high: 0.41573, low: 0.33259, value: 0.37416, factor: 0.28601} - - {high: 0.42516, low: 0.35430, value: 0.38973, factor: 0.33561} - - {high: 0.43898, low: 0.37627, value: 0.40762, factor: 0.37922} - - {high: 0.45606, low: 0.39905, value: 0.42755, factor: 0.41716} - - {high: 0.47568, low: 0.42283, value: 0.44925, factor: 0.44995} - - {high: 0.49734, low: 0.44761, value: 0.47247, factor: 0.47817} - - {high: 0.52067, low: 0.47334, value: 0.49700, factor: 0.50242} - - {high: 0.54538, low: 0.49993, value: 0.52266, factor: 0.52326} - - {high: 0.57125, low: 0.52731, value: 0.54928, factor: 0.54119} - - {high: 0.59810, low: 0.55538, value: 0.57674, factor: 0.55666} - - {high: 0.62577, low: 0.58405, value: 0.60491, factor: 0.57005} - - {high: 0.65415, low: 0.61327, value: 0.63371, factor: 0.58167} - - {high: 0.68315, low: 0.64296, value: 0.66305, factor: 0.59179} - - {high: 0.71267, low: 0.67307, value: 0.69287, factor: 0.60065} - - {high: 0.74264, low: 0.70356, value: 0.72310, factor: 0.60843} - - {high: 0.77302, low: 0.73437, value: 0.75370, factor: 0.61528} - - {high: 0.80375, low: 0.76548, value: 0.78461, factor: 0.62134} - - {high: 0.83479, low: 0.79685, value: 0.81582, factor: 0.62673} - - {high: 0.86611, low: 0.82845, value: 0.84728, factor: 0.63153} - - {high: 0.89766, low: 0.86026, value: 0.87896, factor: 0.63582} - - {high: 0.92944, low: 0.89226, value: 0.91085, factor: 0.63966} - - {high: 0.96141, low: 0.92443, value: 0.94292, factor: 0.64313} - - {high: 0.99356, low: 0.95676, value: 0.97516, factor: 0.64626} + - {high: 0.20290, low: 0.16232, value: 0.18261, factor: 0.58602} + - {high: 0.23203, low: 0.19336, value: 0.21269, factor: 0.61496} + - {high: 0.26270, low: 0.22518, value: 0.24394, factor: 0.63367} + - {high: 0.29436, low: 0.25756, value: 0.27596, factor: 0.64632} + - {high: 0.32666, low: 0.29036, value: 0.30851, factor: 0.65521} + - {high: 0.35941, low: 0.32347, value: 0.34144, factor: 0.66167} + - {high: 0.39249, low: 0.35681, value: 0.37465, factor: 0.66650} + - {high: 0.42581, low: 0.39033, value: 0.40807, factor: 0.67019} + - {high: 0.45932, low: 0.42399, value: 0.44166, factor: 0.67307} + - {high: 0.49297, low: 0.45776, value: 0.47537, factor: 0.67536} + - {high: 0.52674, low: 0.49163, value: 0.50918, factor: 0.67722} + - {high: 0.56060, low: 0.52557, value: 0.54308, factor: 0.67873} + - {high: 0.59454, low: 0.55957, value: 0.57705, factor: 0.67999} + - {high: 0.62854, low: 0.59362, value: 0.61108, factor: 0.68104} + - {high: 0.66259, low: 0.62772, value: 0.64516, factor: 0.68193} + - {high: 0.69669, low: 0.66185, value: 0.67927, factor: 0.68269} + - {high: 0.73082, low: 0.69602, value: 0.71342, factor: 0.68335} + - {high: 0.76499, low: 0.73022, value: 0.74760, factor: 0.68391} + - {high: 0.79919, low: 0.76444, value: 0.78181, factor: 0.68441} + - {high: 0.83341, low: 0.79868, value: 0.81604, factor: 0.68484} + - {high: 0.86765, low: 0.83294, value: 0.85030, factor: 0.68522} + - {high: 0.90191, low: 0.86722, value: 0.88457, factor: 0.68556} + - {high: 0.93619, low: 0.90151, value: 0.91885, factor: 0.68586} - header: {name: "ph"} values: - {high: 0.25000, low: 0.20000, value: 0.22500} diff --git a/data/BESIII_PI_MINUS_3p0500.yaml b/data/BESIII_PI_MINUS_3p0500.yaml index 6bd43ce92..c79737e37 100644 --- a/data/BESIII_PI_MINUS_3p0500.yaml +++ b/data/BESIII_PI_MINUS_3p0500.yaml @@ -1,5 +1,5 @@ dependent_variables: -- header: {title: "BESIII $\pi^-$ Multiplicity"} +- header: {title: "BESIII $\\pi^-$ Multiplicity"} qualifiers: - {name: process, value: SIA} - {name: Vs, value: 3.05 , units: GeV} @@ -83,30 +83,30 @@ dependent_variables: independent_variables: - header: {name: "z"} values: - - {high: 0.39529, low: 0.31623, value: 0.35576, factor: 0.27195} - - {high: 0.40425, low: 0.33687, value: 0.37056, factor: 0.31911} - - {high: 0.41739, low: 0.35776, value: 0.38757, factor: 0.36057} - - {high: 0.43363, low: 0.37942, value: 0.40653, factor: 0.39665} - - {high: 0.45228, low: 0.40203, value: 0.42716, factor: 0.42782} - - {high: 0.47288, low: 0.42559, value: 0.44924, factor: 0.45465} - - {high: 0.49506, low: 0.45006, value: 0.47256, factor: 0.47771} - - {high: 0.51856, low: 0.47535, value: 0.49695, factor: 0.49752} - - {high: 0.54316, low: 0.50138, value: 0.52227, factor: 0.51457} - - {high: 0.56868, low: 0.52806, value: 0.54837, factor: 0.52928} - - {high: 0.59499, low: 0.55533, value: 0.57516, factor: 0.54201} - - {high: 0.62198, low: 0.58311, value: 0.60254, factor: 0.55306} - - {high: 0.64955, low: 0.61134, value: 0.63044, factor: 0.56269} - - {high: 0.67762, low: 0.63997, value: 0.65879, factor: 0.57111} - - {high: 0.70612, low: 0.66896, value: 0.68754, factor: 0.57850} - - {high: 0.73500, low: 0.69825, value: 0.71663, factor: 0.58502} - - {high: 0.76422, low: 0.72783, value: 0.74603, factor: 0.59079} - - {high: 0.79374, low: 0.75766, value: 0.77570, factor: 0.59590} - - {high: 0.82351, low: 0.78771, value: 0.80561, factor: 0.60047} - - {high: 0.85352, low: 0.81795, value: 0.83574, factor: 0.60455} - - {high: 0.88373, low: 0.84838, value: 0.86606, factor: 0.60821} - - {high: 0.91413, low: 0.87897, value: 0.89655, factor: 0.61150} - - {high: 0.94469, low: 0.90971, value: 0.92720, factor: 0.61447} - - {high: 0.97541, low: 0.94057, value: 0.95799, factor: 0.61716} + - {high: 0.19292, low: 0.15434, value: 0.17363, factor: 0.55720} + - {high: 0.22062, low: 0.18385, value: 0.20223, factor: 0.58471} + - {high: 0.24978, low: 0.21410, value: 0.23194, factor: 0.60251} + - {high: 0.27988, low: 0.24490, value: 0.26239, factor: 0.61454} + - {high: 0.31059, low: 0.27608, value: 0.29334, factor: 0.62299} + - {high: 0.34174, low: 0.30756, value: 0.32465, factor: 0.62913} + - {high: 0.37319, low: 0.33926, value: 0.35623, factor: 0.63372} + - {high: 0.40487, low: 0.37113, value: 0.38800, factor: 0.63723} + - {high: 0.43673, low: 0.40314, value: 0.41993, factor: 0.63997} + - {high: 0.46873, low: 0.43525, value: 0.45199, factor: 0.64215} + - {high: 0.50084, low: 0.46745, value: 0.48414, factor: 0.64391} + - {high: 0.53303, low: 0.49972, value: 0.51638, factor: 0.64535} + - {high: 0.56530, low: 0.53205, value: 0.54867, factor: 0.64655} + - {high: 0.59763, low: 0.56443, value: 0.58103, factor: 0.64755} + - {high: 0.63001, low: 0.59685, value: 0.61343, factor: 0.64840} + - {high: 0.66243, low: 0.62930, value: 0.64586, factor: 0.64912} + - {high: 0.69488, low: 0.66179, value: 0.67834, factor: 0.64974} + - {high: 0.72737, low: 0.69431, value: 0.71084, factor: 0.65028} + - {high: 0.75988, low: 0.72684, value: 0.74336, factor: 0.65075} + - {high: 0.79242, low: 0.75940, value: 0.77591, factor: 0.65116} + - {high: 0.82498, low: 0.79198, value: 0.80848, factor: 0.65152} + - {high: 0.85755, low: 0.82457, value: 0.84106, factor: 0.65184} + - {high: 0.89015, low: 0.85718, value: 0.87366, factor: 0.65213} + - {high: 0.92275, low: 0.88980, value: 0.90627, factor: 0.65238} - header: {name: "ph"} values: - {high: 0.25000, low: 0.20000, value: 0.22500} diff --git a/data/BESIII_PI_MINUS_3p5000.yaml b/data/BESIII_PI_MINUS_3p5000.yaml index 854294c8a..f5bbf97f4 100644 --- a/data/BESIII_PI_MINUS_3p5000.yaml +++ b/data/BESIII_PI_MINUS_3p5000.yaml @@ -1,5 +1,5 @@ dependent_variables: -- header: {title: "BESIII $\pi^-$ Multiplicity"} +- header: {title: "BESIII $\\pi^-$ Multiplicity"} qualifiers: - {name: process, value: SIA} - {name: Vs, value: 3.5 , units: GeV} @@ -86,31 +86,31 @@ dependent_variables: independent_variables: - header: {name: "z"} values: - - {high: 0.34447, low: 0.27557, value: 0.31002, factor: 0.23698} - - {high: 0.35227, low: 0.29356, value: 0.32292, factor: 0.27808} - - {high: 0.36372, low: 0.31176, value: 0.33774, factor: 0.31421} - - {high: 0.37788, low: 0.33064, value: 0.35426, factor: 0.34565} - - {high: 0.39413, low: 0.35034, value: 0.37224, factor: 0.37281} - - {high: 0.41208, low: 0.37087, value: 0.39148, factor: 0.39620} - - {high: 0.43141, low: 0.39219, value: 0.41180, factor: 0.41629} - - {high: 0.45189, low: 0.41423, value: 0.43306, factor: 0.43356} - - {high: 0.47332, low: 0.43691, value: 0.45512, factor: 0.44842} - - {high: 0.49557, low: 0.46017, value: 0.47787, factor: 0.46123} - - {high: 0.51850, low: 0.48393, value: 0.50121, factor: 0.47232} - - {high: 0.54201, low: 0.50814, value: 0.52507, factor: 0.48195} - - {high: 0.56603, low: 0.53274, value: 0.54939, factor: 0.49034} - - {high: 0.59049, low: 0.55769, value: 0.57409, factor: 0.49768} - - {high: 0.61533, low: 0.58295, value: 0.59914, factor: 0.50412} - - {high: 0.64050, low: 0.60848, value: 0.62449, factor: 0.50980} - - {high: 0.66597, low: 0.63425, value: 0.65011, factor: 0.51483} - - {high: 0.69168, low: 0.66024, value: 0.67596, factor: 0.51929} - - {high: 0.71763, low: 0.68643, value: 0.70203, factor: 0.52326} - - {high: 0.74378, low: 0.71279, value: 0.72828, factor: 0.52682} - - {high: 0.77011, low: 0.73930, value: 0.75471, factor: 0.53001} - - {high: 0.79660, low: 0.76596, value: 0.78128, factor: 0.53288} - - {high: 0.82323, low: 0.79274, value: 0.80799, factor: 0.53547} - - {high: 0.85000, low: 0.81964, value: 0.83482, factor: 0.53781} - - {high: 0.87689, low: 0.84665, value: 0.86177, factor: 0.53994} + - {high: 0.16812, low: 0.13450, value: 0.15131, factor: 0.48556} + - {high: 0.19225, low: 0.16021, value: 0.17623, factor: 0.50954} + - {high: 0.21767, low: 0.18657, value: 0.20212, factor: 0.52504} + - {high: 0.24390, low: 0.21341, value: 0.22865, factor: 0.53552} + - {high: 0.27066, low: 0.24059, value: 0.25562, factor: 0.54289} + - {high: 0.29780, low: 0.26802, value: 0.28291, factor: 0.54824} + - {high: 0.32521, low: 0.29564, value: 0.31042, factor: 0.55224} + - {high: 0.35282, low: 0.32342, value: 0.33812, factor: 0.55530} + - {high: 0.38058, low: 0.35131, value: 0.36594, factor: 0.55769} + - {high: 0.40846, low: 0.37929, value: 0.39388, factor: 0.55959} + - {high: 0.43644, low: 0.40735, value: 0.42190, factor: 0.56112} + - {high: 0.46450, low: 0.43547, value: 0.44998, factor: 0.56238} + - {high: 0.49262, low: 0.46364, value: 0.47813, factor: 0.56342} + - {high: 0.52079, low: 0.49186, value: 0.50632, factor: 0.56429} + - {high: 0.54900, low: 0.52011, value: 0.53456, factor: 0.56503} + - {high: 0.57726, low: 0.54839, value: 0.56282, factor: 0.56566} + - {high: 0.60554, low: 0.57670, value: 0.59112, factor: 0.56620} + - {high: 0.63385, low: 0.60504, value: 0.61944, factor: 0.56667} + - {high: 0.66218, low: 0.63339, value: 0.64779, factor: 0.56708} + - {high: 0.69054, low: 0.66176, value: 0.67615, factor: 0.56744} + - {high: 0.71891, low: 0.69015, value: 0.70453, factor: 0.56775} + - {high: 0.74730, low: 0.71855, value: 0.73293, factor: 0.56803} + - {high: 0.77570, low: 0.74697, value: 0.76133, factor: 0.56828} + - {high: 0.80411, low: 0.77539, value: 0.78975, factor: 0.56851} + - {high: 0.83254, low: 0.80383, value: 0.81818, factor: 0.56871} - header: {name: "ph"} values: - {high: 0.25000, low: 0.20000, value: 0.22500} diff --git a/data/BESIII_PI_MINUS_3p6710.yaml b/data/BESIII_PI_MINUS_3p6710.yaml index 2842ad83a..6acbf5e7e 100644 --- a/data/BESIII_PI_MINUS_3p6710.yaml +++ b/data/BESIII_PI_MINUS_3p6710.yaml @@ -1,5 +1,5 @@ dependent_variables: -- header: {title: "BESIII $\pi^-$ Multiplicity"} +- header: {title: "BESIII $\\pi^-$ Multiplicity"} qualifiers: - {name: process, value: SIA} - {name: Vs, value: 3.671 , units: GeV} @@ -86,31 +86,31 @@ dependent_variables: independent_variables: - header: {name: "z"} values: - - {high: 0.32842, low: 0.26274, value: 0.29558, factor: 0.22594} - - {high: 0.33586, low: 0.27989, value: 0.30787, factor: 0.26512} - - {high: 0.34678, low: 0.29724, value: 0.32201, factor: 0.29957} - - {high: 0.36027, low: 0.31524, value: 0.33776, factor: 0.32955} - - {high: 0.37577, low: 0.33402, value: 0.35490, factor: 0.35545} - - {high: 0.39289, low: 0.35360, value: 0.37324, factor: 0.37774} - - {high: 0.41132, low: 0.37392, value: 0.39262, factor: 0.39690} - - {high: 0.43084, low: 0.39494, value: 0.41289, factor: 0.41336} - - {high: 0.45127, low: 0.41656, value: 0.43392, factor: 0.42753} - - {high: 0.47248, low: 0.43873, value: 0.45561, factor: 0.43975} - - {high: 0.49434, low: 0.46139, value: 0.47787, factor: 0.45032} - - {high: 0.51676, low: 0.48447, value: 0.50062, factor: 0.45950} - - {high: 0.53967, low: 0.50792, value: 0.52380, factor: 0.46750} - - {high: 0.56299, low: 0.53171, value: 0.54735, factor: 0.47450} - - {high: 0.58667, low: 0.55579, value: 0.57123, factor: 0.48064} - - {high: 0.61067, low: 0.58013, value: 0.59540, factor: 0.48606} - - {high: 0.63494, low: 0.60471, value: 0.61983, factor: 0.49085} - - {high: 0.65947, low: 0.62949, value: 0.64448, factor: 0.49510} - - {high: 0.68420, low: 0.65445, value: 0.66933, factor: 0.49889} - - {high: 0.70913, low: 0.67959, value: 0.69436, factor: 0.50228} - - {high: 0.73424, low: 0.70487, value: 0.71955, factor: 0.50532} - - {high: 0.75949, low: 0.73028, value: 0.74489, factor: 0.50806} - - {high: 0.78489, low: 0.75582, value: 0.77035, factor: 0.51053} - - {high: 0.81041, low: 0.78146, value: 0.79594, factor: 0.51276} - - {high: 0.83604, low: 0.80721, value: 0.82162, factor: 0.51479} + - {high: 0.16029, low: 0.12823, value: 0.14426, factor: 0.46294} + - {high: 0.18330, low: 0.15275, value: 0.16802, factor: 0.48580} + - {high: 0.20753, low: 0.17788, value: 0.19271, factor: 0.50058} + - {high: 0.23253, low: 0.20347, value: 0.21800, factor: 0.51058} + - {high: 0.25805, low: 0.22938, value: 0.24372, factor: 0.51760} + - {high: 0.28393, low: 0.25553, value: 0.26973, factor: 0.52270} + - {high: 0.31006, low: 0.28187, value: 0.29596, factor: 0.52651} + - {high: 0.33638, low: 0.30835, value: 0.32237, factor: 0.52943} + - {high: 0.36285, low: 0.33494, value: 0.34890, factor: 0.53171} + - {high: 0.38944, low: 0.36162, value: 0.37553, factor: 0.53352} + - {high: 0.41611, low: 0.38837, value: 0.40224, factor: 0.53498} + - {high: 0.44286, low: 0.41518, value: 0.42902, factor: 0.53618} + - {high: 0.46967, low: 0.44204, value: 0.45586, factor: 0.53717} + - {high: 0.49653, low: 0.46895, value: 0.48274, factor: 0.53801} + - {high: 0.52343, low: 0.49588, value: 0.50966, factor: 0.53871} + - {high: 0.55037, low: 0.52285, value: 0.53661, factor: 0.53931} + - {high: 0.57733, low: 0.54984, value: 0.56359, factor: 0.53983} + - {high: 0.60432, low: 0.57685, value: 0.59059, factor: 0.54027} + - {high: 0.63134, low: 0.60389, value: 0.61761, factor: 0.54066} + - {high: 0.65837, low: 0.63094, value: 0.64465, factor: 0.54101} + - {high: 0.68542, low: 0.65800, value: 0.67171, factor: 0.54131} + - {high: 0.71249, low: 0.68508, value: 0.69878, factor: 0.54157} + - {high: 0.73957, low: 0.71217, value: 0.72587, factor: 0.54181} + - {high: 0.76666, low: 0.73928, value: 0.75297, factor: 0.54202} + - {high: 0.79376, low: 0.76639, value: 0.78007, factor: 0.54222} - header: {name: "ph"} values: - {high: 0.25000, low: 0.20000, value: 0.22500} diff --git a/data/BESIII_PI_PLUS_2p0000.yaml b/data/BESIII_PI_PLUS_2p0000.yaml index 585f837e4..75fd4999c 100644 --- a/data/BESIII_PI_PLUS_2p0000.yaml +++ b/data/BESIII_PI_PLUS_2p0000.yaml @@ -1,5 +1,5 @@ dependent_variables: -- header: {title: "BESIII $\pi^+$ Multiplicity"} +- header: {title: "BESIII $\\pi^+$ Multiplicity"} qualifiers: - {name: process, value: SIA} - {name: Vs, value: 2.0 , units: GeV} @@ -56,21 +56,21 @@ dependent_variables: independent_variables: - header: {name: "z"} values: - - {high: 0.60281, low: 0.48225, value: 0.54253, factor: 0.41472} - - {high: 0.61648, low: 0.51373, value: 0.56510, factor: 0.48664} - - {high: 0.63652, low: 0.54559, value: 0.59105, factor: 0.54987} - - {high: 0.66128, low: 0.57862, value: 0.61995, factor: 0.60488} - - {high: 0.68973, low: 0.61310, value: 0.65142, factor: 0.65243} - - {high: 0.72114, low: 0.64903, value: 0.68509, factor: 0.69334} - - {high: 0.75497, low: 0.68634, value: 0.72065, factor: 0.72851} - - {high: 0.79080, low: 0.72490, value: 0.75785, factor: 0.75872} - - {high: 0.82831, low: 0.76460, value: 0.79646, factor: 0.78473} - - {high: 0.86724, low: 0.80529, value: 0.83627, factor: 0.80716} - - {high: 0.90737, low: 0.84688, value: 0.87712, factor: 0.82657} - - {high: 0.94852, low: 0.88924, value: 0.91888, factor: 0.84342} - - {high: 0.99056, low: 0.93229, value: 0.96143, factor: 0.85810} - - {high: 1.03336, low: 0.97596, value: 1.00466, factor: 0.87094} - - {high: 1.07683, low: 1.02016, value: 1.04850, factor: 0.88222} + - {high: 0.29421, low: 0.23537, value: 0.26479, factor: 0.84973} + - {high: 0.33644, low: 0.28037, value: 0.30840, factor: 0.89169} + - {high: 0.38092, low: 0.32650, value: 0.35371, factor: 0.91882} + - {high: 0.42682, low: 0.37347, value: 0.40014, factor: 0.93717} + - {high: 0.47365, low: 0.42103, value: 0.44734, factor: 0.95006} + - {high: 0.52115, low: 0.46903, value: 0.49509, factor: 0.95942} + - {high: 0.56911, low: 0.51737, value: 0.54324, factor: 0.96642} + - {high: 0.61743, low: 0.56598, value: 0.59170, factor: 0.97177} + - {high: 0.66602, low: 0.61478, value: 0.64040, factor: 0.97595} + - {high: 0.71481, low: 0.66376, value: 0.68928, factor: 0.97928} + - {high: 0.76378, low: 0.71286, value: 0.73832, factor: 0.98196} + - {high: 0.81287, low: 0.76207, value: 0.78747, factor: 0.98416} + - {high: 0.86208, low: 0.81137, value: 0.83673, factor: 0.98598} + - {high: 0.91138, low: 0.86075, value: 0.88607, factor: 0.98751} + - {high: 0.96076, low: 0.91019, value: 0.93547, factor: 0.98880} - header: {name: "ph"} values: - {high: 0.25000, low: 0.20000, value: 0.22500} diff --git a/data/BESIII_PI_PLUS_2p2000.yaml b/data/BESIII_PI_PLUS_2p2000.yaml index b99b5c274..281b60756 100644 --- a/data/BESIII_PI_PLUS_2p2000.yaml +++ b/data/BESIII_PI_PLUS_2p2000.yaml @@ -1,5 +1,5 @@ dependent_variables: -- header: {title: "BESIII $\pi^+$ Multiplicity"} +- header: {title: "BESIII $\\pi^+$ Multiplicity"} qualifiers: - {name: process, value: SIA} - {name: Vs, value: 2.2 , units: GeV} @@ -62,23 +62,23 @@ dependent_variables: independent_variables: - header: {name: "z"} values: - - {high: 0.54801, low: 0.43841, value: 0.49321, factor: 0.37702} - - {high: 0.56043, low: 0.46703, value: 0.51373, factor: 0.44240} - - {high: 0.57865, low: 0.49599, value: 0.53732, factor: 0.49988} - - {high: 0.60117, low: 0.52602, value: 0.56359, factor: 0.54989} - - {high: 0.62703, low: 0.55736, value: 0.59220, factor: 0.59311} - - {high: 0.65558, low: 0.59003, value: 0.62280, factor: 0.63031} - - {high: 0.68634, low: 0.62394, value: 0.65514, factor: 0.66228} - - {high: 0.71891, low: 0.65900, value: 0.68896, factor: 0.68975} - - {high: 0.75301, low: 0.69509, value: 0.72405, factor: 0.71339} - - {high: 0.78840, low: 0.73209, value: 0.76024, factor: 0.73378} - - {high: 0.82488, low: 0.76989, value: 0.79738, factor: 0.75142} - - {high: 0.86229, low: 0.80840, value: 0.83535, factor: 0.76674} - - {high: 0.90051, low: 0.84754, value: 0.87402, factor: 0.78009} - - {high: 0.93942, low: 0.88723, value: 0.91333, factor: 0.79176} - - {high: 0.97894, low: 0.92742, value: 0.95318, factor: 0.80202} - - {high: 1.01898, low: 0.96803, value: 0.99351, factor: 0.81105} - - {high: 1.05949, low: 1.00904, value: 1.03427, factor: 0.81904} + - {high: 0.26746, low: 0.21397, value: 0.24072, factor: 0.77249} + - {high: 0.30586, low: 0.25488, value: 0.28037, factor: 0.81062} + - {high: 0.34629, low: 0.29682, value: 0.32156, factor: 0.83529} + - {high: 0.38802, low: 0.33951, value: 0.36376, factor: 0.85197} + - {high: 0.43059, low: 0.38275, value: 0.40667, factor: 0.86369} + - {high: 0.47377, low: 0.42639, value: 0.45008, factor: 0.87220} + - {high: 0.51737, low: 0.47034, value: 0.49386, factor: 0.87856} + - {high: 0.56130, low: 0.51452, value: 0.53791, factor: 0.88343} + - {high: 0.60547, low: 0.55890, value: 0.58218, factor: 0.88723} + - {high: 0.64983, low: 0.60341, value: 0.62662, factor: 0.89025} + - {high: 0.69434, low: 0.64805, value: 0.67120, factor: 0.89269} + - {high: 0.73898, low: 0.69279, value: 0.71588, factor: 0.89469} + - {high: 0.78371, low: 0.73761, value: 0.76066, factor: 0.89635} + - {high: 0.82853, low: 0.78250, value: 0.80551, factor: 0.89774} + - {high: 0.87342, low: 0.82745, value: 0.85043, factor: 0.89891} + - {high: 0.91836, low: 0.87244, value: 0.89540, factor: 0.89991} + - {high: 0.96336, low: 0.91748, value: 0.94042, factor: 0.90078} - header: {name: "ph"} values: - {high: 0.25000, low: 0.20000, value: 0.22500} diff --git a/data/BESIII_PI_PLUS_2p3960.yaml b/data/BESIII_PI_PLUS_2p3960.yaml index d112048ce..b023b3fb0 100644 --- a/data/BESIII_PI_PLUS_2p3960.yaml +++ b/data/BESIII_PI_PLUS_2p3960.yaml @@ -1,5 +1,5 @@ dependent_variables: -- header: {title: "BESIII $\pi^+$ Multiplicity"} +- header: {title: "BESIII $\\pi^+$ Multiplicity"} qualifiers: - {name: process, value: SIA} - {name: Vs, value: 2.396 , units: GeV} @@ -68,25 +68,25 @@ dependent_variables: independent_variables: - header: {name: "z"} values: - - {high: 0.50318, low: 0.40255, value: 0.45287, factor: 0.34618} - - {high: 0.51459, low: 0.42882, value: 0.47171, factor: 0.40621} - - {high: 0.53132, low: 0.45541, value: 0.49337, factor: 0.45899} - - {high: 0.55199, low: 0.48299, value: 0.51749, factor: 0.50491} - - {high: 0.57574, low: 0.51177, value: 0.54375, factor: 0.54460} - - {high: 0.60196, low: 0.54176, value: 0.57186, factor: 0.57875} - - {high: 0.63019, low: 0.57290, value: 0.60155, factor: 0.60810} - - {high: 0.66010, low: 0.60509, value: 0.63260, factor: 0.63332} - - {high: 0.69141, low: 0.63823, value: 0.66482, factor: 0.65503} - - {high: 0.72391, low: 0.67220, value: 0.69805, factor: 0.67376} - - {high: 0.75740, low: 0.70691, value: 0.73215, factor: 0.68996} - - {high: 0.79175, low: 0.74227, value: 0.76701, factor: 0.70402} - - {high: 0.82685, low: 0.77821, value: 0.80253, factor: 0.71628} - - {high: 0.86257, low: 0.81465, value: 0.83861, factor: 0.72700} - - {high: 0.89886, low: 0.85155, value: 0.87520, factor: 0.73641} - - {high: 0.93563, low: 0.88885, value: 0.91224, factor: 0.74470} - - {high: 0.97282, low: 0.92650, value: 0.94966, factor: 0.75204} - - {high: 1.01039, low: 0.96446, value: 0.98743, factor: 0.75856} - - {high: 1.04829, low: 1.00271, value: 1.02550, factor: 0.76437} + - {high: 0.24558, low: 0.19647, value: 0.22103, factor: 0.70929} + - {high: 0.28084, low: 0.23403, value: 0.25743, factor: 0.74431} + - {high: 0.31797, low: 0.27254, value: 0.29525, factor: 0.76696} + - {high: 0.35628, low: 0.31174, value: 0.33401, factor: 0.78228} + - {high: 0.39537, low: 0.35144, value: 0.37341, factor: 0.79304} + - {high: 0.43501, low: 0.39151, value: 0.41326, factor: 0.80085} + - {high: 0.47505, low: 0.43187, value: 0.45346, factor: 0.80669} + - {high: 0.51538, low: 0.47244, value: 0.49391, factor: 0.81116} + - {high: 0.55594, low: 0.51318, value: 0.53456, factor: 0.81465} + - {high: 0.59667, low: 0.55405, value: 0.57536, factor: 0.81743} + - {high: 0.63754, low: 0.59504, value: 0.61629, factor: 0.81967} + - {high: 0.67853, low: 0.63612, value: 0.65732, factor: 0.82150} + - {high: 0.71960, low: 0.67727, value: 0.69844, factor: 0.82302} + - {high: 0.76075, low: 0.71849, value: 0.73962, factor: 0.82430} + - {high: 0.80197, low: 0.75976, value: 0.78086, factor: 0.82538} + - {high: 0.84324, low: 0.80108, value: 0.82216, factor: 0.82630} + - {high: 0.88455, low: 0.84243, value: 0.86349, factor: 0.82709} + - {high: 0.92591, low: 0.88382, value: 0.90486, factor: 0.82777} + - {high: 0.96730, low: 0.92524, value: 0.94627, factor: 0.82837} - header: {name: "ph"} values: - {high: 0.25000, low: 0.20000, value: 0.22500} diff --git a/data/BESIII_PI_PLUS_2p6444.yaml b/data/BESIII_PI_PLUS_2p6444.yaml index bc9bd32da..bb7190927 100644 --- a/data/BESIII_PI_PLUS_2p6444.yaml +++ b/data/BESIII_PI_PLUS_2p6444.yaml @@ -1,5 +1,5 @@ dependent_variables: -- header: {title: "BESIII $\pi^+$ Multiplicity"} +- header: {title: "BESIII $\\pi^+$ Multiplicity"} qualifiers: - {name: process, value: SIA} - {name: Vs, value: 2.6444 , units: GeV} @@ -74,27 +74,27 @@ dependent_variables: independent_variables: - header: {name: "z"} values: - - {high: 0.45592, low: 0.36473, value: 0.41033, factor: 0.31366} - - {high: 0.46625, low: 0.38854, value: 0.42740, factor: 0.36805} - - {high: 0.48141, low: 0.41264, value: 0.44702, factor: 0.41587} - - {high: 0.50014, low: 0.43762, value: 0.46888, factor: 0.45748} - - {high: 0.52166, low: 0.46369, value: 0.49268, factor: 0.49344} - - {high: 0.54541, low: 0.49087, value: 0.51814, factor: 0.52439} - - {high: 0.57100, low: 0.51909, value: 0.54504, factor: 0.55098} - - {high: 0.59810, low: 0.54826, value: 0.57318, factor: 0.57383} - - {high: 0.62647, low: 0.57828, value: 0.60237, factor: 0.59350} - - {high: 0.65591, low: 0.60906, value: 0.63248, factor: 0.61047} - - {high: 0.68626, low: 0.64051, value: 0.66338, factor: 0.62515} - - {high: 0.71738, low: 0.67255, value: 0.69496, factor: 0.63789} - - {high: 0.74918, low: 0.70511, value: 0.72714, factor: 0.64899} - - {high: 0.78155, low: 0.73813, value: 0.75984, factor: 0.65871} - - {high: 0.81443, low: 0.77156, value: 0.79299, factor: 0.66723} - - {high: 0.84774, low: 0.80535, value: 0.82655, factor: 0.67475} - - {high: 0.88144, low: 0.83947, value: 0.86045, factor: 0.68140} - - {high: 0.91548, low: 0.87387, value: 0.89467, factor: 0.68730} - - {high: 0.94982, low: 0.90852, value: 0.92917, factor: 0.69257} - - {high: 0.98443, low: 0.94341, value: 0.96392, factor: 0.69727} - - {high: 1.01928, low: 0.97851, value: 0.99889, factor: 0.70149} + - {high: 0.22252, low: 0.17801, value: 0.20026, factor: 0.64267} + - {high: 0.25446, low: 0.21205, value: 0.23325, factor: 0.67440} + - {high: 0.28810, low: 0.24694, value: 0.26752, factor: 0.69492} + - {high: 0.32281, low: 0.28246, value: 0.30263, factor: 0.70879} + - {high: 0.35823, low: 0.31843, value: 0.33833, factor: 0.71854} + - {high: 0.39415, low: 0.35474, value: 0.37444, factor: 0.72563} + - {high: 0.43043, low: 0.39130, value: 0.41086, factor: 0.73092} + - {high: 0.46697, low: 0.42806, value: 0.44751, factor: 0.73496} + - {high: 0.50372, low: 0.46497, value: 0.48434, factor: 0.73813} + - {high: 0.54062, low: 0.50201, value: 0.52132, factor: 0.74064} + - {high: 0.57766, low: 0.53915, value: 0.55840, factor: 0.74267} + - {high: 0.61479, low: 0.57637, value: 0.59558, factor: 0.74434} + - {high: 0.65201, low: 0.61365, value: 0.63283, factor: 0.74571} + - {high: 0.68929, low: 0.65100, value: 0.67015, factor: 0.74687} + - {high: 0.72664, low: 0.68839, value: 0.70751, factor: 0.74785} + - {high: 0.76403, low: 0.72583, value: 0.74493, factor: 0.74868} + - {high: 0.80146, low: 0.76330, value: 0.78238, factor: 0.74940} + - {high: 0.83893, low: 0.80080, value: 0.81987, factor: 0.75002} + - {high: 0.87643, low: 0.83833, value: 0.85738, factor: 0.75056} + - {high: 0.91396, low: 0.87588, value: 0.89492, factor: 0.75103} + - {high: 0.95151, low: 0.91345, value: 0.93248, factor: 0.75145} - header: {name: "ph"} values: - {high: 0.25000, low: 0.20000, value: 0.22500} diff --git a/data/BESIII_PI_PLUS_2p9000.yaml b/data/BESIII_PI_PLUS_2p9000.yaml index a85151f51..bd902324b 100644 --- a/data/BESIII_PI_PLUS_2p9000.yaml +++ b/data/BESIII_PI_PLUS_2p9000.yaml @@ -1,5 +1,5 @@ dependent_variables: -- header: {title: "BESIII $\pi^+$ Multiplicity"} +- header: {title: "BESIII $\\pi^+$ Multiplicity"} qualifiers: - {name: process, value: SIA} - {name: Vs, value: 2.9 , units: GeV} @@ -80,29 +80,29 @@ dependent_variables: independent_variables: - header: {name: "z"} values: - - {high: 0.41573, low: 0.33259, value: 0.37416, factor: 0.28601} - - {high: 0.42516, low: 0.35430, value: 0.38973, factor: 0.33561} - - {high: 0.43898, low: 0.37627, value: 0.40762, factor: 0.37922} - - {high: 0.45606, low: 0.39905, value: 0.42755, factor: 0.41716} - - {high: 0.47568, low: 0.42283, value: 0.44925, factor: 0.44995} - - {high: 0.49734, low: 0.44761, value: 0.47247, factor: 0.47817} - - {high: 0.52067, low: 0.47334, value: 0.49700, factor: 0.50242} - - {high: 0.54538, low: 0.49993, value: 0.52266, factor: 0.52326} - - {high: 0.57125, low: 0.52731, value: 0.54928, factor: 0.54119} - - {high: 0.59810, low: 0.55538, value: 0.57674, factor: 0.55666} - - {high: 0.62577, low: 0.58405, value: 0.60491, factor: 0.57005} - - {high: 0.65415, low: 0.61327, value: 0.63371, factor: 0.58167} - - {high: 0.68315, low: 0.64296, value: 0.66305, factor: 0.59179} - - {high: 0.71267, low: 0.67307, value: 0.69287, factor: 0.60065} - - {high: 0.74264, low: 0.70356, value: 0.72310, factor: 0.60843} - - {high: 0.77302, low: 0.73437, value: 0.75370, factor: 0.61528} - - {high: 0.80375, low: 0.76548, value: 0.78461, factor: 0.62134} - - {high: 0.83479, low: 0.79685, value: 0.81582, factor: 0.62673} - - {high: 0.86611, low: 0.82845, value: 0.84728, factor: 0.63153} - - {high: 0.89766, low: 0.86026, value: 0.87896, factor: 0.63582} - - {high: 0.92944, low: 0.89226, value: 0.91085, factor: 0.63966} - - {high: 0.96141, low: 0.92443, value: 0.94292, factor: 0.64313} - - {high: 0.99356, low: 0.95676, value: 0.97516, factor: 0.64626} + - {high: 0.20290, low: 0.16232, value: 0.18261, factor: 0.58602} + - {high: 0.23203, low: 0.19336, value: 0.21269, factor: 0.61496} + - {high: 0.26270, low: 0.22518, value: 0.24394, factor: 0.63367} + - {high: 0.29436, low: 0.25756, value: 0.27596, factor: 0.64632} + - {high: 0.32666, low: 0.29036, value: 0.30851, factor: 0.65521} + - {high: 0.35941, low: 0.32347, value: 0.34144, factor: 0.66167} + - {high: 0.39249, low: 0.35681, value: 0.37465, factor: 0.66650} + - {high: 0.42581, low: 0.39033, value: 0.40807, factor: 0.67019} + - {high: 0.45932, low: 0.42399, value: 0.44166, factor: 0.67307} + - {high: 0.49297, low: 0.45776, value: 0.47537, factor: 0.67536} + - {high: 0.52674, low: 0.49163, value: 0.50918, factor: 0.67722} + - {high: 0.56060, low: 0.52557, value: 0.54308, factor: 0.67873} + - {high: 0.59454, low: 0.55957, value: 0.57705, factor: 0.67999} + - {high: 0.62854, low: 0.59362, value: 0.61108, factor: 0.68104} + - {high: 0.66259, low: 0.62772, value: 0.64516, factor: 0.68193} + - {high: 0.69669, low: 0.66185, value: 0.67927, factor: 0.68269} + - {high: 0.73082, low: 0.69602, value: 0.71342, factor: 0.68335} + - {high: 0.76499, low: 0.73022, value: 0.74760, factor: 0.68391} + - {high: 0.79919, low: 0.76444, value: 0.78181, factor: 0.68441} + - {high: 0.83341, low: 0.79868, value: 0.81604, factor: 0.68484} + - {high: 0.86765, low: 0.83294, value: 0.85030, factor: 0.68522} + - {high: 0.90191, low: 0.86722, value: 0.88457, factor: 0.68556} + - {high: 0.93619, low: 0.90151, value: 0.91885, factor: 0.68586} - header: {name: "ph"} values: - {high: 0.25000, low: 0.20000, value: 0.22500} diff --git a/data/BESIII_PI_PLUS_3p0500.yaml b/data/BESIII_PI_PLUS_3p0500.yaml index 89fad1c00..c3d2b1c98 100644 --- a/data/BESIII_PI_PLUS_3p0500.yaml +++ b/data/BESIII_PI_PLUS_3p0500.yaml @@ -1,5 +1,5 @@ dependent_variables: -- header: {title: "BESIII $\pi^+$ Multiplicity"} +- header: {title: "BESIII $\\pi^+$ Multiplicity"} qualifiers: - {name: process, value: SIA} - {name: Vs, value: 3.05 , units: GeV} @@ -83,30 +83,30 @@ dependent_variables: independent_variables: - header: {name: "z"} values: - - {high: 0.39529, low: 0.31623, value: 0.35576, factor: 0.27195} - - {high: 0.40425, low: 0.33687, value: 0.37056, factor: 0.31911} - - {high: 0.41739, low: 0.35776, value: 0.38757, factor: 0.36057} - - {high: 0.43363, low: 0.37942, value: 0.40653, factor: 0.39665} - - {high: 0.45228, low: 0.40203, value: 0.42716, factor: 0.42782} - - {high: 0.47288, low: 0.42559, value: 0.44924, factor: 0.45465} - - {high: 0.49506, low: 0.45006, value: 0.47256, factor: 0.47771} - - {high: 0.51856, low: 0.47535, value: 0.49695, factor: 0.49752} - - {high: 0.54316, low: 0.50138, value: 0.52227, factor: 0.51457} - - {high: 0.56868, low: 0.52806, value: 0.54837, factor: 0.52928} - - {high: 0.59499, low: 0.55533, value: 0.57516, factor: 0.54201} - - {high: 0.62198, low: 0.58311, value: 0.60254, factor: 0.55306} - - {high: 0.64955, low: 0.61134, value: 0.63044, factor: 0.56269} - - {high: 0.67762, low: 0.63997, value: 0.65879, factor: 0.57111} - - {high: 0.70612, low: 0.66896, value: 0.68754, factor: 0.57850} - - {high: 0.73500, low: 0.69825, value: 0.71663, factor: 0.58502} - - {high: 0.76422, low: 0.72783, value: 0.74603, factor: 0.59079} - - {high: 0.79374, low: 0.75766, value: 0.77570, factor: 0.59590} - - {high: 0.82351, low: 0.78771, value: 0.80561, factor: 0.60047} - - {high: 0.85352, low: 0.81795, value: 0.83574, factor: 0.60455} - - {high: 0.88373, low: 0.84838, value: 0.86606, factor: 0.60821} - - {high: 0.91413, low: 0.87897, value: 0.89655, factor: 0.61150} - - {high: 0.94469, low: 0.90971, value: 0.92720, factor: 0.61447} - - {high: 0.97541, low: 0.94057, value: 0.95799, factor: 0.61716} + - {high: 0.19292, low: 0.15434, value: 0.17363, factor: 0.55720} + - {high: 0.22062, low: 0.18385, value: 0.20223, factor: 0.58471} + - {high: 0.24978, low: 0.21410, value: 0.23194, factor: 0.60251} + - {high: 0.27988, low: 0.24490, value: 0.26239, factor: 0.61454} + - {high: 0.31059, low: 0.27608, value: 0.29334, factor: 0.62299} + - {high: 0.34174, low: 0.30756, value: 0.32465, factor: 0.62913} + - {high: 0.37319, low: 0.33926, value: 0.35623, factor: 0.63372} + - {high: 0.40487, low: 0.37113, value: 0.38800, factor: 0.63723} + - {high: 0.43673, low: 0.40314, value: 0.41993, factor: 0.63997} + - {high: 0.46873, low: 0.43525, value: 0.45199, factor: 0.64215} + - {high: 0.50084, low: 0.46745, value: 0.48414, factor: 0.64391} + - {high: 0.53303, low: 0.49972, value: 0.51638, factor: 0.64535} + - {high: 0.56530, low: 0.53205, value: 0.54867, factor: 0.64655} + - {high: 0.59763, low: 0.56443, value: 0.58103, factor: 0.64755} + - {high: 0.63001, low: 0.59685, value: 0.61343, factor: 0.64840} + - {high: 0.66243, low: 0.62930, value: 0.64586, factor: 0.64912} + - {high: 0.69488, low: 0.66179, value: 0.67834, factor: 0.64974} + - {high: 0.72737, low: 0.69431, value: 0.71084, factor: 0.65028} + - {high: 0.75988, low: 0.72684, value: 0.74336, factor: 0.65075} + - {high: 0.79242, low: 0.75940, value: 0.77591, factor: 0.65116} + - {high: 0.82498, low: 0.79198, value: 0.80848, factor: 0.65152} + - {high: 0.85755, low: 0.82457, value: 0.84106, factor: 0.65184} + - {high: 0.89015, low: 0.85718, value: 0.87366, factor: 0.65213} + - {high: 0.92275, low: 0.88980, value: 0.90627, factor: 0.65238} - header: {name: "ph"} values: - {high: 0.25000, low: 0.20000, value: 0.22500} diff --git a/data/BESIII_PI_PLUS_3p5000.yaml b/data/BESIII_PI_PLUS_3p5000.yaml index 6aa484d76..4b6d37a19 100644 --- a/data/BESIII_PI_PLUS_3p5000.yaml +++ b/data/BESIII_PI_PLUS_3p5000.yaml @@ -1,5 +1,5 @@ dependent_variables: -- header: {title: "BESIII $\pi^+$ Multiplicity"} +- header: {title: "BESIII $\\pi^+$ Multiplicity"} qualifiers: - {name: process, value: SIA} - {name: Vs, value: 3.5 , units: GeV} @@ -86,31 +86,31 @@ dependent_variables: independent_variables: - header: {name: "z"} values: - - {high: 0.34447, low: 0.27557, value: 0.31002, factor: 0.23698} - - {high: 0.35227, low: 0.29356, value: 0.32292, factor: 0.27808} - - {high: 0.36372, low: 0.31176, value: 0.33774, factor: 0.31421} - - {high: 0.37788, low: 0.33064, value: 0.35426, factor: 0.34565} - - {high: 0.39413, low: 0.35034, value: 0.37224, factor: 0.37281} - - {high: 0.41208, low: 0.37087, value: 0.39148, factor: 0.39620} - - {high: 0.43141, low: 0.39219, value: 0.41180, factor: 0.41629} - - {high: 0.45189, low: 0.41423, value: 0.43306, factor: 0.43356} - - {high: 0.47332, low: 0.43691, value: 0.45512, factor: 0.44842} - - {high: 0.49557, low: 0.46017, value: 0.47787, factor: 0.46123} - - {high: 0.51850, low: 0.48393, value: 0.50121, factor: 0.47232} - - {high: 0.54201, low: 0.50814, value: 0.52507, factor: 0.48195} - - {high: 0.56603, low: 0.53274, value: 0.54939, factor: 0.49034} - - {high: 0.59049, low: 0.55769, value: 0.57409, factor: 0.49768} - - {high: 0.61533, low: 0.58295, value: 0.59914, factor: 0.50412} - - {high: 0.64050, low: 0.60848, value: 0.62449, factor: 0.50980} - - {high: 0.66597, low: 0.63425, value: 0.65011, factor: 0.51483} - - {high: 0.69168, low: 0.66024, value: 0.67596, factor: 0.51929} - - {high: 0.71763, low: 0.68643, value: 0.70203, factor: 0.52326} - - {high: 0.74378, low: 0.71279, value: 0.72828, factor: 0.52682} - - {high: 0.77011, low: 0.73930, value: 0.75471, factor: 0.53001} - - {high: 0.79660, low: 0.76596, value: 0.78128, factor: 0.53288} - - {high: 0.82323, low: 0.79274, value: 0.80799, factor: 0.53547} - - {high: 0.85000, low: 0.81964, value: 0.83482, factor: 0.53781} - - {high: 0.87689, low: 0.84665, value: 0.86177, factor: 0.53994} + - {high: 0.16812, low: 0.13450, value: 0.15131, factor: 0.48556} + - {high: 0.19225, low: 0.16021, value: 0.17623, factor: 0.50954} + - {high: 0.21767, low: 0.18657, value: 0.20212, factor: 0.52504} + - {high: 0.24390, low: 0.21341, value: 0.22865, factor: 0.53552} + - {high: 0.27066, low: 0.24059, value: 0.25562, factor: 0.54289} + - {high: 0.29780, low: 0.26802, value: 0.28291, factor: 0.54824} + - {high: 0.32521, low: 0.29564, value: 0.31042, factor: 0.55224} + - {high: 0.35282, low: 0.32342, value: 0.33812, factor: 0.55530} + - {high: 0.38058, low: 0.35131, value: 0.36594, factor: 0.55769} + - {high: 0.40846, low: 0.37929, value: 0.39388, factor: 0.55959} + - {high: 0.43644, low: 0.40735, value: 0.42190, factor: 0.56112} + - {high: 0.46450, low: 0.43547, value: 0.44998, factor: 0.56238} + - {high: 0.49262, low: 0.46364, value: 0.47813, factor: 0.56342} + - {high: 0.52079, low: 0.49186, value: 0.50632, factor: 0.56429} + - {high: 0.54900, low: 0.52011, value: 0.53456, factor: 0.56503} + - {high: 0.57726, low: 0.54839, value: 0.56282, factor: 0.56566} + - {high: 0.60554, low: 0.57670, value: 0.59112, factor: 0.56620} + - {high: 0.63385, low: 0.60504, value: 0.61944, factor: 0.56667} + - {high: 0.66218, low: 0.63339, value: 0.64779, factor: 0.56708} + - {high: 0.69054, low: 0.66176, value: 0.67615, factor: 0.56744} + - {high: 0.71891, low: 0.69015, value: 0.70453, factor: 0.56775} + - {high: 0.74730, low: 0.71855, value: 0.73293, factor: 0.56803} + - {high: 0.77570, low: 0.74697, value: 0.76133, factor: 0.56828} + - {high: 0.80411, low: 0.77539, value: 0.78975, factor: 0.56851} + - {high: 0.83254, low: 0.80383, value: 0.81818, factor: 0.56871} - header: {name: "ph"} values: - {high: 0.25000, low: 0.20000, value: 0.22500} diff --git a/data/BESIII_PI_PLUS_3p6710.yaml b/data/BESIII_PI_PLUS_3p6710.yaml index 61687315c..cc7d99e74 100644 --- a/data/BESIII_PI_PLUS_3p6710.yaml +++ b/data/BESIII_PI_PLUS_3p6710.yaml @@ -1,5 +1,5 @@ dependent_variables: -- header: {title: "BESIII $\pi^+$ Multiplicity"} +- header: {title: "BESIII $\\pi^+$ Multiplicity"} qualifiers: - {name: process, value: SIA} - {name: Vs, value: 3.671 , units: GeV} @@ -86,31 +86,31 @@ dependent_variables: independent_variables: - header: {name: "z"} values: - - {high: 0.32842, low: 0.26274, value: 0.29558, factor: 0.22594} - - {high: 0.33586, low: 0.27989, value: 0.30787, factor: 0.26512} - - {high: 0.34678, low: 0.29724, value: 0.32201, factor: 0.29957} - - {high: 0.36027, low: 0.31524, value: 0.33776, factor: 0.32955} - - {high: 0.37577, low: 0.33402, value: 0.35490, factor: 0.35545} - - {high: 0.39289, low: 0.35360, value: 0.37324, factor: 0.37774} - - {high: 0.41132, low: 0.37392, value: 0.39262, factor: 0.39690} - - {high: 0.43084, low: 0.39494, value: 0.41289, factor: 0.41336} - - {high: 0.45127, low: 0.41656, value: 0.43392, factor: 0.42753} - - {high: 0.47248, low: 0.43873, value: 0.45561, factor: 0.43975} - - {high: 0.49434, low: 0.46139, value: 0.47787, factor: 0.45032} - - {high: 0.51676, low: 0.48447, value: 0.50062, factor: 0.45950} - - {high: 0.53967, low: 0.50792, value: 0.52380, factor: 0.46750} - - {high: 0.56299, low: 0.53171, value: 0.54735, factor: 0.47450} - - {high: 0.58667, low: 0.55579, value: 0.57123, factor: 0.48064} - - {high: 0.61067, low: 0.58013, value: 0.59540, factor: 0.48606} - - {high: 0.63494, low: 0.60471, value: 0.61983, factor: 0.49085} - - {high: 0.65947, low: 0.62949, value: 0.64448, factor: 0.49510} - - {high: 0.68420, low: 0.65445, value: 0.66933, factor: 0.49889} - - {high: 0.70913, low: 0.67959, value: 0.69436, factor: 0.50228} - - {high: 0.73424, low: 0.70487, value: 0.71955, factor: 0.50532} - - {high: 0.75949, low: 0.73028, value: 0.74489, factor: 0.50806} - - {high: 0.78489, low: 0.75582, value: 0.77035, factor: 0.51053} - - {high: 0.81041, low: 0.78146, value: 0.79594, factor: 0.51276} - - {high: 0.83604, low: 0.80721, value: 0.82162, factor: 0.51479} + - {high: 0.16029, low: 0.12823, value: 0.14426, factor: 0.46294} + - {high: 0.18330, low: 0.15275, value: 0.16802, factor: 0.48580} + - {high: 0.20753, low: 0.17788, value: 0.19271, factor: 0.50058} + - {high: 0.23253, low: 0.20347, value: 0.21800, factor: 0.51058} + - {high: 0.25805, low: 0.22938, value: 0.24372, factor: 0.51760} + - {high: 0.28393, low: 0.25553, value: 0.26973, factor: 0.52270} + - {high: 0.31006, low: 0.28187, value: 0.29596, factor: 0.52651} + - {high: 0.33638, low: 0.30835, value: 0.32237, factor: 0.52943} + - {high: 0.36285, low: 0.33494, value: 0.34890, factor: 0.53171} + - {high: 0.38944, low: 0.36162, value: 0.37553, factor: 0.53352} + - {high: 0.41611, low: 0.38837, value: 0.40224, factor: 0.53498} + - {high: 0.44286, low: 0.41518, value: 0.42902, factor: 0.53618} + - {high: 0.46967, low: 0.44204, value: 0.45586, factor: 0.53717} + - {high: 0.49653, low: 0.46895, value: 0.48274, factor: 0.53801} + - {high: 0.52343, low: 0.49588, value: 0.50966, factor: 0.53871} + - {high: 0.55037, low: 0.52285, value: 0.53661, factor: 0.53931} + - {high: 0.57733, low: 0.54984, value: 0.56359, factor: 0.53983} + - {high: 0.60432, low: 0.57685, value: 0.59059, factor: 0.54027} + - {high: 0.63134, low: 0.60389, value: 0.61761, factor: 0.54066} + - {high: 0.65837, low: 0.63094, value: 0.64465, factor: 0.54101} + - {high: 0.68542, low: 0.65800, value: 0.67171, factor: 0.54131} + - {high: 0.71249, low: 0.68508, value: 0.69878, factor: 0.54157} + - {high: 0.73957, low: 0.71217, value: 0.72587, factor: 0.54181} + - {high: 0.76666, low: 0.73928, value: 0.75297, factor: 0.54202} + - {high: 0.79376, low: 0.76639, value: 0.78007, factor: 0.54222} - header: {name: "ph"} values: - {high: 0.25000, low: 0.20000, value: 0.22500} diff --git a/data/COMPASS_PI_MINUS_2024.yaml b/data/COMPASS_PI_MINUS_2024.yaml index 23667588f..817aabdcf 100644 --- a/data/COMPASS_PI_MINUS_2024.yaml +++ b/data/COMPASS_PI_MINUS_2024.yaml @@ -1,5 +1,5 @@ dependent_variables: -- header: {title: "COMPASS 2024 $\pi^-$ Multiplicities"} +- header: {title: "COMPASS 2024 $\\pi^-$ Multiplicities"} qualifiers: - {name: process, value: SIDIS} - {name: observable, value: dsigma/dxdydz} diff --git a/data/COMPASS_PI_PLUS_2024.yaml b/data/COMPASS_PI_PLUS_2024.yaml index cf8299c2a..afe2b4248 100644 --- a/data/COMPASS_PI_PLUS_2024.yaml +++ b/data/COMPASS_PI_PLUS_2024.yaml @@ -1,5 +1,5 @@ dependent_variables: -- header: {title: "COMPASS 2024 $\pi^+$ Multiplicities"} +- header: {title: "COMPASS 2024 $\\pi^+$ Multiplicities"} qualifiers: - {name: process, value: SIDIS} - {name: observable, value: dsigma/dxdydz} diff --git a/data/rawdata/pion/filter.py b/data/rawdata/pion/filter.py index d6a1c5026..e852d7cce 100644 --- a/data/rawdata/pion/filter.py +++ b/data/rawdata/pion/filter.py @@ -3,7 +3,7 @@ import yaml import numpy as np -mKA = 0.493677 # GeV +mPI = 0.1396 # GeV # BESIII - inclusive PI+ def filter_BESIII_PIp(): @@ -44,7 +44,7 @@ def filter_BESIII_PIp(): with open(nameexp + '.yaml', 'w') as f: print('dependent_variables:', file=f) - print('- header: {title: "BESIII $\pi^+$ Multiplicity"}', file=f) + print('- header: {title: "BESIII $\\pi^+$ Multiplicity"}', file=f) print(' qualifiers:', file=f) print(' - {name: process, value: SIA}', file=f) print(' - {name: Vs, value: ', cme[l], ', units: GeV}', file=f) @@ -63,7 +63,7 @@ def filter_BESIII_PIp(): print('- header: {name: "z"}', file=f) print(' values:', file=f) for p in range(ndata[l]): - factor = np.sqrt(1. + mKA**2./((data.iloc[p,0] + data.iloc[p,1])/2.)**2.) + factor = np.sqrt(1. + mPI**2./((data.iloc[p,0] + data.iloc[p,1])/2.)**2.) print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' % (2./cme[l] * factor * data.iloc[p,1], 2./cme[l] * factor * data.iloc[p,0], 2./cme[l] * factor * (data.iloc[p,0] + data.iloc[p,1])/2., 2./cme[l]/factor), file=f) print('- header: {name: "ph"}', file=f) @@ -116,7 +116,7 @@ def filter_BESIII_PIm(): with open(nameexp + '.yaml', 'w') as f: print('dependent_variables:', file=f) - print('- header: {title: "BESIII $\pi^-$ Multiplicity"}', file=f) + print('- header: {title: "BESIII $\\pi^-$ Multiplicity"}', file=f) print(' qualifiers:', file=f) print(' - {name: process, value: SIA}', file=f) print(' - {name: Vs, value: ', cme[l], ', units: GeV}', file=f) @@ -135,7 +135,7 @@ def filter_BESIII_PIm(): print('- header: {name: "z"}', file=f) print(' values:', file=f) for p in range(ndata[l]): - factor = np.sqrt(1. + mKA**2./((data.iloc[p,0] + data.iloc[p,1])/2.)**2.) + factor = np.sqrt(1. + mPI**2./((data.iloc[p,0] + data.iloc[p,1])/2.)**2.) print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' % (2./cme[l] * factor * data.iloc[p,1], 2./cme[l] * factor * data.iloc[p,0], 2./cme[l] * factor * (data.iloc[p,0] + data.iloc[p,1])/2., 2./cme[l]/factor), file=f) print('- header: {name: "ph"}', file=f) @@ -251,7 +251,7 @@ def filter_BABAR_KA_CONVENTIONAL(): print('- header: {name: "z"}', file=f) print(' values:', file=f) for i in range(ndata): - factor = np.sqrt(1. + mKA**2./data.iloc[i,0]**2.) + factor = np.sqrt(1. + mPI**2./data.iloc[i,0]**2.) print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) print('- header: {name: "ph"}', file=f) @@ -260,11 +260,6 @@ def filter_BABAR_KA_CONVENTIONAL(): print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' % (data.iloc[i,2], data.iloc[i,1], data.iloc[i,0]) , file=f) - - - - - # BABAR - conventional inclusive (uncorrelated) def filter_BABAR_KA_CONVENTIONAL_UNCORR(): nameexp = 'BABAR_KA_PLUS_MINUS_CONVENTIONAL_UNCORR' @@ -320,7 +315,7 @@ def filter_BABAR_KA_CONVENTIONAL_UNCORR(): print('- header: {name: "z"}', file=f) print(' values:', file=f) for i in range(ndata): - factor = np.sqrt(1. + mKA**2./data.iloc[i,0]**2.) + factor = np.sqrt(1. + mPI**2./data.iloc[i,0]**2.) print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) print('- header: {name: "ph"}', file=f) @@ -410,7 +405,7 @@ def filter_BABAR_KA_PROMPT(): print('- header: {name: "z"}', file=f) print(' values:', file=f) for i in range(ndata): - factor = np.sqrt(1. + mKA**2./data.iloc[i,0]**2.) + factor = np.sqrt(1. + mPI**2./data.iloc[i,0]**2.) print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) print('- header: {name: "ph"}', file=f) @@ -460,7 +455,7 @@ def filter_TASSO12_KA(): print('- header: {name: "z"}', file=f) print(' values:', file=f) for i in range(ndata): - factor = np.sqrt(1. + mKA**2./data.iloc[i,0]**2.) + factor = np.sqrt(1. + mPI**2./data.iloc[i,0]**2.) print(' - {value: %7.5f, factor: %7.5f}' % (2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) print('- header: {name: "ph"}', file=f) @@ -509,7 +504,7 @@ def filter_TASSO14_KA(): print('- header: {name: "z"}', file=f) print(' values:', file=f) for i in range(ndata): - factor = np.sqrt(1. + mKA**2./data.iloc[i,0]**2.) + factor = np.sqrt(1. + mPI**2./data.iloc[i,0]**2.) print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) print('- header: {name: "ph"}', file=f) @@ -558,7 +553,7 @@ def filter_TASSO22_KA(): print('- header: {name: "z"}', file=f) print(' values:', file=f) for i in range(ndata): - factor = np.sqrt(1. + mKA**2./data.iloc[i,0]**2.) + factor = np.sqrt(1. + mPI**2./data.iloc[i,0]**2.) print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) print('- header: {name: "ph"}', file=f) @@ -608,7 +603,7 @@ def filter_TPC_KA(): print(' values:', file=f) for i in range(ndata): - factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mKA**2./cme**2.) + factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mPI**2./cme**2.) print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], 1./factor), file=f) print('- header: {name: "xp"}', file=f) @@ -658,7 +653,7 @@ def filter_TASSO30_KA(): print('- header: {name: "z"}', file=f) print(' values:', file=f) for i in range(ndata): - factor = np.sqrt(1. + mKA**2./data.iloc[i,0]**2.) + factor = np.sqrt(1. + mPI**2./data.iloc[i,0]**2.) print(' - {value: %7.5f, factor: %7.5f}' % (2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) print('- header: {name: "ph"}', file=f) @@ -708,7 +703,7 @@ def filter_TASSO34_KA(): print(' values:', file=f) for i in range(ndata): - factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mKA**2./cme**2.) + factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mPI**2./cme**2.) print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], 1./factor), file=f) print('- header: {name: "xp"}', file=f) @@ -758,7 +753,7 @@ def filter_TASSO44_KA(): print(' values:', file=f) for i in range(ndata): - factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mKA**2./cme**2.) + factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mPI**2./cme**2.) print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], 1./factor), file=f) print('- header: {name: "xp"}', file=f) @@ -808,7 +803,7 @@ def filter_ALEPH_KA(): print(' values:', file=f) for i in range(ndata): - factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mKA**2./cme**2.) + factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mPI**2./cme**2.) print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], 1./factor), file=f) print('- header: {name: "xp"}', file=f) @@ -856,7 +851,7 @@ def filter_DELPHI_KA(): print('- header: {name: "z"}', file=f) print(' values:', file=f) for i in range(ndata): - factor = np.sqrt(1. + mKA**2./data.iloc[i,0]**2.) + factor = np.sqrt(1. + mPI**2./data.iloc[i,0]**2.) print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) print('- header: {name: "ph"}', file=f) @@ -905,7 +900,7 @@ def filter_DELPHI_KA_UDS(): print('- header: {name: "z"}', file=f) print(' values:', file=f) for i in range(ndata): - factor = np.sqrt(1. + mKA**2./data.iloc[i,0]**2.) + factor = np.sqrt(1. + mPI**2./data.iloc[i,0]**2.) print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) print('- header: {name: "ph"}', file=f) @@ -954,7 +949,7 @@ def filter_DELPHI_KA_B(): print('- header: {name: "z"}', file=f) print(' values:', file=f) for i in range(ndata): - factor = np.sqrt(1. + mKA**2./data.iloc[i,0]**2.) + factor = np.sqrt(1. + mPI**2./data.iloc[i,0]**2.) print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) print('- header: {name: "ph"}', file=f) @@ -1002,7 +997,7 @@ def filter_OPAL_KA(): print('- header: {name: "z"}', file=f) print(' values:', file=f) for i in range(ndata): - factor = np.sqrt(1. + mKA**2./data.iloc[i,0]**2.) + factor = np.sqrt(1. + mPI**2./data.iloc[i,0]**2.) print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' % (2./cme * factor * data.iloc[i,2], 2./cme * factor * data.iloc[i,1], 2./cme * factor * data.iloc[i,0], 2./cme/factor), file=f) print('- header: {name: "ph"}', file=f) @@ -1053,7 +1048,7 @@ def filter_SLD_KA(): print(' values:', file=f) for i in range(ndata): - factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mKA**2./cme**2.) + factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mPI**2./cme**2.) print(' - {high: %7.5f, low: %7.5f, value: %7.5f, factor: %7.5f}' % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], 1./factor), file=f) print('- header: {name: "xp"}', file=f) @@ -1116,7 +1111,7 @@ def filter_SLD_KA_UDS(): print(' values:', file=f) for i in range(ndata): - factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mKA**2./cme**2.) + factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mPI**2./cme**2.) print(' - {value: %7.5f, factor: %7.5f}' % (factor * data.iloc[i,0], 1./factor), file=f) print('- header: {name: "xp"}', file=f) @@ -1179,7 +1174,7 @@ def filter_SLD_KA_C(): print(' values:', file=f) for i in range(ndata): - factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mKA**2./cme**2.) + factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mPI**2./cme**2.) print(' - {value: %7.5f, factor: %7.5f}' % (factor * data.iloc[i,0], 1./factor), file=f) print('- header: {name: "xp"}', file=f) @@ -1242,7 +1237,7 @@ def filter_SLD_KA_B(): print(' values:', file=f) for i in range(ndata): - factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mKA**2./cme**2.) + factor = np.sqrt(1. + 4./data.iloc[i,0]**2. * mPI**2./cme**2.) print(' - {value: %7.5f, factor: %7.5f}' % (factor * data.iloc[i,0], 1./factor), file=f) print('- header: {name: "xp"}', file=f) From 2957d2260474b68e258593b4d012663cfbe3c9b9 Mon Sep 17 00:00:00 2001 From: vbertone Date: Sun, 27 Jul 2025 07:58:07 +0200 Subject: [PATCH 27/29] Adjusting new pion data --- data/COMPASS_HA_MINUS_2024.yaml | 2416 ++++---- ...INUS.yaml => COMPASS_HA_MINUS_DECORR.yaml} | 622 +- data/COMPASS_HA_PLUS_2024.yaml | 2416 ++++---- ..._PLUS.yaml => COMPASS_HA_PLUS_DECORR.yaml} | 622 +- data/COMPASS_KA_MINUS.yaml | 2496 -------- data/COMPASS_KA_MINUS_2024.yaml | 2384 ++++---- data/COMPASS_KA_MINUS_DECORR.yaml | 632 +-- data/COMPASS_KA_PLUS.yaml | 2496 -------- data/COMPASS_KA_PLUS_2024.yaml | 2384 ++++---- data/COMPASS_KA_PLUS_DECORR.yaml | 640 +-- data/COMPASS_PI_MINUS.yaml | 2512 --------- data/COMPASS_PI_MINUS_2024.yaml | 2416 ++++---- data/COMPASS_PI_MINUS_DECORR.yaml | 5020 ++++++++--------- data/COMPASS_PI_PLUS.yaml | 2512 --------- data/COMPASS_PI_PLUS_2024.yaml | 2416 ++++---- data/COMPASS_PI_PLUS_DECORR.yaml | 5020 ++++++++--------- data/rawdata/charged_hadrons/filter.py | 34 +- data/rawdata/kaon/filter.py | 34 +- data/rawdata/pion/filter.py | 54 +- 19 files changed, 13558 insertions(+), 23568 deletions(-) rename data/{COMPASS_HA_MINUS.yaml => COMPASS_HA_MINUS_DECORR.yaml} (83%) rename data/{COMPASS_HA_PLUS.yaml => COMPASS_HA_PLUS_DECORR.yaml} (83%) delete mode 100644 data/COMPASS_KA_MINUS.yaml delete mode 100644 data/COMPASS_KA_PLUS.yaml delete mode 100644 data/COMPASS_PI_MINUS.yaml delete mode 100644 data/COMPASS_PI_PLUS.yaml diff --git a/data/COMPASS_HA_MINUS_2024.yaml b/data/COMPASS_HA_MINUS_2024.yaml index c649423be..d8f2afe40 100644 --- a/data/COMPASS_HA_MINUS_2024.yaml +++ b/data/COMPASS_HA_MINUS_2024.yaml @@ -1224,1217 +1224,1217 @@ dependent_variables: independent_variables: - header: {name: "z"} values: - - {high: 0.25000, low: 0.20000, value: 0.02500} - - {high: 0.30000, low: 0.25000, value: 0.02500} - - {high: 0.35000, low: 0.30000, value: 0.02500} - - {high: 0.40000, low: 0.35000, value: 0.02500} - - {high: 0.45000, low: 0.40000, value: 0.02500} - - {high: 0.50000, low: 0.45000, value: 0.02500} - - {high: 0.55000, low: 0.50000, value: 0.02500} - - {high: 0.60000, low: 0.55000, value: 0.02500} - - {high: 0.25000, low: 0.20000, value: 0.02500} - - {high: 0.30000, low: 0.25000, value: 0.02500} - - {high: 0.35000, low: 0.30000, value: 0.02500} - - {high: 0.40000, low: 0.35000, value: 0.02500} - - {high: 0.45000, low: 0.40000, value: 0.02500} - - {high: 0.45000, low: 0.40000, value: 0.02500} - - {high: 0.50000, low: 0.45000, value: 0.02500} - - {high: 0.55000, low: 0.50000, value: 0.02500} - - {high: 0.60000, low: 0.55000, value: 0.02500} - - {high: 0.65000, low: 0.60000, value: 0.02500} - - {high: 0.70000, low: 0.65000, value: 0.02500} - - {high: 0.75000, low: 0.70000, value: 0.02500} - - {high: 0.85000, low: 0.75000, value: 0.05000} - - {high: 0.35000, low: 0.30000, value: 0.02500} - - {high: 0.40000, low: 0.35000, value: 0.02500} - - {high: 0.45000, low: 0.40000, value: 0.02500} - - {high: 0.50000, low: 0.45000, value: 0.02500} - - {high: 0.55000, low: 0.50000, value: 0.02500} - - {high: 0.60000, low: 0.55000, value: 0.02500} - - {high: 0.65000, low: 0.60000, value: 0.02500} - - {high: 0.70000, low: 0.65000, value: 0.02500} - - {high: 0.75000, low: 0.70000, value: 0.02500} - - {high: 0.85000, low: 0.75000, value: 0.05000} - - {high: 0.25000, low: 0.20000, value: 0.02500} - - {high: 0.30000, low: 0.25000, value: 0.02500} - - {high: 0.35000, low: 0.30000, value: 0.02500} - - {high: 0.40000, low: 0.35000, value: 0.02500} - - {high: 0.45000, low: 0.40000, value: 0.02500} - - {high: 0.50000, low: 0.45000, value: 0.02500} - - {high: 0.55000, low: 0.50000, value: 0.02500} - - {high: 0.60000, low: 0.55000, value: 0.02500} - - {high: 0.65000, low: 0.60000, value: 0.02500} - - {high: 0.70000, low: 0.65000, value: 0.02500} - - {high: 0.75000, low: 0.70000, value: 0.02500} - - {high: 0.25000, low: 0.20000, value: 0.02500} - - {high: 0.30000, low: 0.25000, value: 0.02500} - - {high: 0.35000, low: 0.30000, value: 0.02500} - - {high: 0.40000, low: 0.35000, value: 0.02500} - - {high: 0.45000, low: 0.40000, value: 0.02500} - - {high: 0.60000, low: 0.55000, value: 0.02500} - - {high: 0.65000, low: 0.60000, value: 0.02500} - - {high: 0.70000, low: 0.65000, value: 0.02500} - - {high: 0.75000, low: 0.70000, value: 0.02500} - - {high: 0.85000, low: 0.75000, value: 0.05000} - - {high: 0.50000, low: 0.45000, value: 0.02500} - - {high: 0.55000, low: 0.50000, value: 0.02500} - - {high: 0.60000, low: 0.55000, value: 0.02500} - - {high: 0.65000, low: 0.60000, value: 0.02500} - - {high: 0.70000, low: 0.65000, value: 0.02500} - - {high: 0.75000, low: 0.70000, value: 0.02500} - - {high: 0.85000, low: 0.75000, value: 0.05000} - - {high: 0.35000, low: 0.30000, value: 0.02500} - - {high: 0.40000, low: 0.35000, value: 0.02500} - - {high: 0.45000, low: 0.40000, value: 0.02500} - - {high: 0.50000, low: 0.45000, value: 0.02500} - - {high: 0.55000, low: 0.50000, value: 0.02500} - - {high: 0.60000, low: 0.55000, value: 0.02500} - - {high: 0.65000, low: 0.60000, value: 0.02500} - - {high: 0.70000, low: 0.65000, value: 0.02500} - - {high: 0.75000, low: 0.70000, value: 0.02500} - - {high: 0.85000, low: 0.75000, value: 0.05000} - - {high: 0.25000, low: 0.20000, value: 0.02500} - - {high: 0.30000, low: 0.25000, value: 0.02500} - - {high: 0.35000, low: 0.30000, value: 0.02500} - - {high: 0.40000, low: 0.35000, value: 0.02500} - - {high: 0.45000, low: 0.40000, value: 0.02500} - - {high: 0.50000, low: 0.45000, value: 0.02500} - - {high: 0.55000, low: 0.50000, value: 0.02500} - - {high: 0.60000, low: 0.55000, value: 0.02500} - - {high: 0.65000, low: 0.60000, value: 0.02500} - - {high: 0.70000, low: 0.65000, value: 0.02500} - - {high: 0.75000, low: 0.70000, value: 0.02500} - - {high: 0.25000, low: 0.20000, value: 0.02500} - - {high: 0.30000, low: 0.25000, value: 0.02500} - - {high: 0.35000, low: 0.30000, value: 0.02500} - - {high: 0.40000, low: 0.35000, value: 0.02500} - - {high: 0.45000, low: 0.40000, value: 0.02500} - - {high: 0.60000, low: 0.55000, value: 0.02500} - - {high: 0.65000, low: 0.60000, value: 0.02500} - - {high: 0.70000, low: 0.65000, value: 0.02500} - - {high: 0.75000, low: 0.70000, value: 0.02500} - - {high: 0.85000, low: 0.75000, value: 0.05000} - - {high: 0.50000, low: 0.45000, value: 0.02500} - - {high: 0.55000, low: 0.50000, value: 0.02500} - - {high: 0.60000, low: 0.55000, value: 0.02500} - - {high: 0.65000, low: 0.60000, value: 0.02500} - - {high: 0.70000, low: 0.65000, value: 0.02500} - - {high: 0.75000, low: 0.70000, value: 0.02500} - - {high: 0.85000, low: 0.75000, value: 0.05000} - - {high: 0.35000, low: 0.30000, value: 0.02500} - - {high: 0.40000, low: 0.35000, value: 0.02500} - - {high: 0.45000, low: 0.40000, value: 0.02500} - - {high: 0.50000, low: 0.45000, value: 0.02500} - - {high: 0.55000, low: 0.50000, value: 0.02500} - - {high: 0.60000, low: 0.55000, value: 0.02500} - - {high: 0.65000, low: 0.60000, value: 0.02500} - - {high: 0.70000, low: 0.65000, value: 0.02500} - - {high: 0.75000, low: 0.70000, value: 0.02500} - - {high: 0.85000, low: 0.75000, value: 0.05000} - - {high: 0.25000, low: 0.20000, value: 0.02500} - - {high: 0.30000, low: 0.25000, value: 0.02500} - - {high: 0.35000, low: 0.30000, value: 0.02500} - - {high: 0.40000, low: 0.35000, value: 0.02500} - - {high: 0.45000, low: 0.40000, value: 0.02500} - - {high: 0.50000, low: 0.45000, value: 0.02500} - - {high: 0.55000, low: 0.50000, value: 0.02500} - - {high: 0.60000, low: 0.55000, value: 0.02500} - - {high: 0.65000, low: 0.60000, value: 0.02500} - - {high: 0.70000, low: 0.65000, value: 0.02500} - - {high: 0.75000, low: 0.70000, value: 0.02500} - - {high: 0.25000, low: 0.20000, value: 0.02500} - - {high: 0.30000, low: 0.25000, value: 0.02500} - - {high: 0.35000, low: 0.30000, value: 0.02500} - - {high: 0.40000, low: 0.35000, value: 0.02500} - - {high: 0.45000, low: 0.40000, value: 0.02500} - - {high: 0.65000, low: 0.60000, value: 0.02500} - - {high: 0.70000, low: 0.65000, value: 0.02500} - - {high: 0.75000, low: 0.70000, value: 0.02500} - - {high: 0.85000, low: 0.75000, value: 0.05000} - - {high: 0.50000, low: 0.45000, value: 0.02500} - - {high: 0.55000, low: 0.50000, value: 0.02500} - - {high: 0.60000, low: 0.55000, value: 0.02500} - - {high: 0.65000, low: 0.60000, value: 0.02500} - - {high: 0.70000, low: 0.65000, value: 0.02500} - - {high: 0.75000, low: 0.70000, value: 0.02500} - - {high: 0.85000, low: 0.75000, value: 0.05000} - - {high: 0.35000, low: 0.30000, value: 0.02500} - - {high: 0.40000, low: 0.35000, value: 0.02500} - - {high: 0.45000, low: 0.40000, value: 0.02500} - - {high: 0.50000, low: 0.45000, value: 0.02500} - - {high: 0.55000, low: 0.50000, value: 0.02500} - - {high: 0.60000, low: 0.55000, value: 0.02500} - - {high: 0.65000, low: 0.60000, value: 0.02500} - - {high: 0.70000, low: 0.65000, value: 0.02500} - - {high: 0.75000, low: 0.70000, value: 0.02500} - - {high: 0.85000, low: 0.75000, value: 0.05000} - - {high: 0.25000, low: 0.20000, value: 0.02500} - - {high: 0.30000, low: 0.25000, value: 0.02500} - - {high: 0.35000, low: 0.30000, value: 0.02500} - - {high: 0.40000, low: 0.35000, value: 0.02500} - - {high: 0.45000, low: 0.40000, value: 0.02500} - - {high: 0.50000, low: 0.45000, value: 0.02500} - - {high: 0.55000, low: 0.50000, value: 0.02500} - - {high: 0.60000, low: 0.55000, value: 0.02500} - - {high: 0.65000, low: 0.60000, value: 0.02500} - - {high: 0.70000, low: 0.65000, value: 0.02500} - - {high: 0.75000, low: 0.70000, value: 0.02500} - - {high: 0.25000, low: 0.20000, value: 0.02500} - - {high: 0.30000, low: 0.25000, value: 0.02500} - - {high: 0.35000, low: 0.30000, value: 0.02500} - - {high: 0.40000, low: 0.35000, value: 0.02500} - - {high: 0.45000, low: 0.40000, value: 0.02500} - - {high: 0.65000, low: 0.60000, value: 0.02500} - - {high: 0.70000, low: 0.65000, value: 0.02500} - - {high: 0.75000, low: 0.70000, value: 0.02500} - - {high: 0.85000, low: 0.75000, value: 0.05000} - - {high: 0.50000, low: 0.45000, value: 0.02500} - - {high: 0.55000, low: 0.50000, value: 0.02500} - - {high: 0.60000, low: 0.55000, value: 0.02500} - - {high: 0.65000, low: 0.60000, value: 0.02500} - - {high: 0.70000, low: 0.65000, value: 0.02500} - - {high: 0.75000, low: 0.70000, value: 0.02500} - - {high: 0.85000, low: 0.75000, value: 0.05000} - - {high: 0.35000, low: 0.30000, value: 0.02500} - - {high: 0.40000, low: 0.35000, value: 0.02500} - - {high: 0.45000, low: 0.40000, value: 0.02500} - - {high: 0.50000, low: 0.45000, value: 0.02500} - - {high: 0.55000, low: 0.50000, value: 0.02500} - - {high: 0.60000, low: 0.55000, value: 0.02500} - - {high: 0.65000, low: 0.60000, value: 0.02500} - - {high: 0.70000, low: 0.65000, value: 0.02500} - - {high: 0.75000, low: 0.70000, value: 0.02500} - - {high: 0.85000, low: 0.75000, value: 0.05000} - - {high: 0.25000, low: 0.20000, value: 0.02500} - - {high: 0.30000, low: 0.25000, value: 0.02500} - - {high: 0.35000, low: 0.30000, value: 0.02500} - - {high: 0.40000, low: 0.35000, value: 0.02500} - - {high: 0.45000, low: 0.40000, value: 0.02500} - - {high: 0.50000, low: 0.45000, value: 0.02500} - - {high: 0.55000, low: 0.50000, value: 0.02500} - - {high: 0.60000, low: 0.55000, value: 0.02500} - - {high: 0.65000, low: 0.60000, value: 0.02500} - - {high: 0.70000, low: 0.65000, value: 0.02500} - - {high: 0.75000, low: 0.70000, value: 0.02500} - - {high: 0.25000, low: 0.20000, value: 0.02500} - - {high: 0.30000, low: 0.25000, value: 0.02500} - - {high: 0.35000, 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a/data/COMPASS_KA_MINUS.yaml b/data/COMPASS_KA_MINUS.yaml deleted file mode 100644 index da04ca28f..000000000 --- a/data/COMPASS_KA_MINUS.yaml +++ /dev/null @@ -1,2496 +0,0 @@ -dependent_variables: -- header: {title: "COMPASS $K^-$ Multiplicities"} - qualifiers: - - {name: process, value: SIDIS} - - {name: observable, value: dsigma/dxdydz} - - {name: target_isoscalarity, value: 0.5} - - {name: prefactor, value: 1} - - {name: Vs, value: 17.34 , units: GeV} - - {name: Q, low: 1, high: 7.745966692414834, integrate: true} - - {name: x, low: 0.004, high: 0.4, integrate: true} - - {name: z, low: 0.2, high: 0.85, integrate: true} - - {name: PS_reduction, W: 5, ymin: 0.1, ymax: 0.7} - - {name: hadron, value: KA} - - {name: charge, value: -1} - values: - - errors: - - {label: unc, value: 0.00750} - - {label: add, value: 0.07488} - value: 0.3352 - - errors: - - {label: unc, value: 0.00640} - - {label: add, value: 0.07485} - value: 0.2592 - - errors: - - {label: unc, value: 0.00590} - - {label: 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- errors: - {label: unc, value: 0.00063} - {label: add, value: 0.05217} @@ -1008,7 +1008,7 @@ dependent_variables: - errors: - {label: unc, value: 0.00566} - {label: add, value: 0.04308} - value: 0.026000000000000002 + value: 0.026 - errors: - {label: unc, value: 0.00395} - {label: add, value: 0.04278} @@ -1064,7 +1064,7 @@ dependent_variables: - errors: - {label: unc, value: 0.00766} - {label: add, value: 0.04315} - value: 0.08900000000000001 + value: 0.089 - errors: - {label: unc, value: 0.00591} - {label: add, value: 0.04357} @@ -1136,7 +1136,7 @@ dependent_variables: - errors: - {label: unc, value: 0.00525} - {label: add, value: 0.08727} - value: 0.011000000000000001 + value: 0.011 - errors: - {label: unc, value: 0.01083} - {label: add, value: 0.12181} @@ -1244,7 +1244,7 @@ dependent_variables: - errors: - {label: unc, value: 0.00364} - {label: add, value: 0.08000} - value: 0.009000000000000001 + value: 0.009 - errors: - {label: unc, value: 0.00383} - {label: add, value: 0.12308} 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{label: unc, value: 0.00814} - {label: add, value: 0.05310} @@ -196,7 +196,7 @@ dependent_variables: - errors: - {label: unc, value: 0.02008} - {label: add, value: 0.06516} - value: 0.39899999999999997 + value: 0.399 - errors: - {label: unc, value: 0.01557} - {label: add, value: 0.06508} @@ -212,7 +212,7 @@ dependent_variables: - errors: - {label: unc, value: 0.00878} - {label: add, value: 0.06891} - value: 0.13699999999999998 + value: 0.137 - errors: - {label: unc, value: 0.00534} - {label: add, value: 0.05352} @@ -492,7 +492,7 @@ dependent_variables: - errors: - {label: unc, value: 0.00545} - {label: add, value: 0.05591} - value: 0.09300000000000001 + value: 0.093 - errors: - {label: unc, value: 0.00550} - {label: add, value: 0.05922} @@ -516,7 +516,7 @@ dependent_variables: - errors: - {label: unc, value: 0.01917} - {label: add, value: 0.06157} - value: 0.34299999999999997 + value: 0.343 - errors: - {label: unc, value: 0.01567} - {label: add, value: 0.06140} @@ -572,7 +572,7 @@ dependent_variables: - errors: - {label: unc, value: 0.00278} - {label: add, value: 0.04727} - value: 0.044000000000000004 + value: 0.044 - errors: - {label: unc, value: 0.00257} - {label: add, value: 0.04632} @@ -608,7 +608,7 @@ dependent_variables: - errors: - {label: unc, value: 0.00304} - {label: add, value: 0.04828} - value: 0.057999999999999996 + value: 0.058 - errors: - {label: unc, value: 0.00246} - {label: add, value: 0.04964} @@ -636,7 +636,7 @@ dependent_variables: - errors: - {label: unc, value: 0.00948} - {label: add, value: 0.05270} - value: 0.21100000000000002 + value: 0.211 - errors: - {label: unc, value: 0.00777} - {label: add, value: 0.05241} @@ -696,7 +696,7 @@ dependent_variables: - errors: - {label: unc, value: 0.00382} - {label: add, value: 0.04414} - value: 0.057999999999999996 + value: 0.058 - errors: - {label: unc, value: 0.00283} - {label: add, value: 0.04405} @@ -748,7 +748,7 @@ dependent_variables: - errors: - {label: unc, value: 0.00906} - {label: add, 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qualifiers: - - {name: process, value: SIDIS} - - {name: observable, value: dsigma/dxdydz} - - {name: target_isoscalarity, value: 0.5} - - {name: prefactor, value: 1} - - {name: Vs, value: 17.35} - - {name: Q, low: 1, high: 7.745966692414834, integrate: true} - - {name: x, low: 0.004, high: 0.4, integrate: true} - - {name: z, low: 0.2, high: 0.85, integrate: true} - - {name: PS_reduction, W: 5, ymin: 0.1, ymax: 0.7} - - {name: hadron, value: PI} - - {name: charge, value: -1} - values: - - errors: - - {label: unc, value: 0.0153} - - {label: add, value: 0.0503} - value: 1.7515 - - errors: - - {label: unc, value: 0.0125} - - {label: add, value: 0.0501} - value: 1.2004 - - errors: - - {label: unc, value: 0.0104} - - {label: add, value: 0.0500} - value: 0.8117 - - errors: - - {label: unc, value: 0.0091} - - {label: add, value: 0.0501} - value: 0.5892 - - errors: - - {label: unc, value: 0.0083} - - {label: add, value: 0.0508} - value: 0.4510 - - errors: - - {label: unc, value: 0.0076} - - 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- - errors: - - {label: unc, value: 0.0089} - - {label: add, value: 0.0528} - value: 0.4036 - - errors: - - {label: unc, value: 0.0096} - - {label: add, value: 0.0626} - value: 0.1934 - - errors: - - {label: unc, value: 0.0069} - - {label: add, value: 0.0611} - value: 0.1605 - - errors: - - {label: unc, value: 0.0058} - - {label: add, value: 0.0761} - value: 0.1222 - - errors: - - {label: unc, value: 0.0054} - - {label: add, value: 0.0917} - value: 0.1047 - - errors: - - {label: unc, value: 0.0035} - - {label: add, value: 0.1135} - value: 0.0749 - - errors: - - {label: unc, value: 0.0154} - - {label: add, value: 0.0501} - value: 0.4752 - - errors: - - {label: unc, value: 0.0073} - - {label: add, value: 0.0508} - value: 0.3445 - - errors: - - {label: unc, value: 0.0054} - - {label: add, value: 0.0522} - value: 0.2722 - - errors: - - {label: unc, value: 0.0045} - - {label: add, value: 0.0560} - value: 0.2035 - - errors: - - {label: unc, value: 0.0041} - - {label: add, value: 0.0627} - 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0.2, value: 0.243} - - {high: 0.3, low: 0.2, value: 0.243} - - {high: 0.3, low: 0.2, value: 0.243} - - {high: 0.3, low: 0.2, value: 0.243} - - {high: 0.3, low: 0.2, value: 0.243} - - {high: 0.3, low: 0.2, value: 0.243} - - {high: 0.3, low: 0.2, value: 0.243} - - {high: 0.3, low: 0.2, value: 0.24} - - {high: 0.5, low: 0.3, value: 0.431} - - {high: 0.5, low: 0.3, value: 0.384} - - {high: 0.5, low: 0.3, value: 0.38} - - {high: 0.5, low: 0.3, value: 0.38} - - {high: 0.5, low: 0.3, value: 0.38} - - {high: 0.5, low: 0.3, value: 0.378} - - {high: 0.5, low: 0.3, value: 0.367} - - {high: 0.5, low: 0.3, value: 0.353} - - {high: 0.5, low: 0.3, value: 0.34} - - {high: 0.5, low: 0.3, value: 0.329} - - {high: 0.5, low: 0.3, value: 0.319} - - {high: 0.2, low: 0.15, value: 0.192} - - {high: 0.2, low: 0.15, value: 0.182} - - {high: 0.2, low: 0.15, value: 0.174} - - {high: 0.2, low: 0.15, value: 0.172} - - {high: 0.2, low: 0.15, value: 0.172} - - {high: 0.2, low: 0.15, value: 0.172} - - {high: 0.2, low: 0.15, value: 0.172} - - {high: 0.2, low: 0.15, value: 0.172} - - {high: 0.3, low: 0.2, value: 0.273} - - {high: 0.3, low: 0.2, value: 0.252} - - {high: 0.3, low: 0.2, value: 0.243} - - {high: 0.3, low: 0.2, value: 0.243} - - {high: 0.3, low: 0.2, value: 0.243} - - {high: 0.3, low: 0.2, value: 0.243} - - {high: 0.3, low: 0.2, value: 0.243} - - {high: 0.3, low: 0.2, value: 0.243} - - {high: 0.3, low: 0.2, value: 0.243} - - {high: 0.3, low: 0.2, value: 0.24} - - {high: 0.5, low: 0.3, value: 0.431} - - {high: 0.5, low: 0.3, value: 0.384} - - {high: 0.5, low: 0.3, value: 0.38} - - {high: 0.5, low: 0.3, value: 0.38} - - {high: 0.5, low: 0.3, value: 0.38} - - {high: 0.5, low: 0.3, value: 0.378} - - {high: 0.5, low: 0.3, value: 0.366} - - {high: 0.5, low: 0.3, value: 0.353} - - {high: 0.5, low: 0.3, value: 0.34} - - {high: 0.5, low: 0.3, value: 0.329} -- header: {name: "Q2"} - values: - - {value: 1.149} - - {value: 1.138} - - {value: 1.138} - - {value: 1.138} - - {value: 1.138} - - {value: 1.132} - - {value: 1.105} - - {value: 1.075} - - {value: 1.048} - - {value: 1.023} - - {value: 1.318} - - {value: 1.318} - - {value: 1.316} - - {value: 1.282} - - {value: 1.244} - - {value: 1.084} - - {value: 1.065} - - {value: 1.065} - - {value: 1.065} - - {value: 1.065} - - {value: 1.065} - - {value: 1.065} - - {value: 1.065} - - {value: 1.275} - - {value: 1.237} - - {value: 1.222} - - {value: 1.222} - - {value: 1.222} - - {value: 1.222} - - {value: 1.222} - - {value: 1.222} - - {value: 1.222} - - {value: 1.213} - - {value: 1.797} - - {value: 1.612} - - {value: 1.6} - - {value: 1.6} - - {value: 1.6} - - {value: 1.59} - - {value: 1.538} - - {value: 1.481} - - {value: 1.431} - - {value: 1.387} - - {value: 1.353} - - {value: 1.301} - - {value: 2.432} - - {value: 2.432} - - {value: 2.426} - - {value: 2.311} - - {value: 2.179} - - {value: 1.138} - - {value: 1.117} - - {value: 1.106} - - {value: 1.104} - - {value: 1.104} - - {value: 1.427} - - {value: 1.334} - - {value: 1.285} - - {value: 1.278} - - {value: 1.278} - - {value: 1.278} - - {value: 1.278} - - {value: 1.278} - - {value: 2.0} - - {value: 1.841} - - {value: 1.765} - - {value: 1.763} - - {value: 1.763} - - {value: 1.763} - - {value: 1.763} - - {value: 1.763} - - {value: 1.763} - - {value: 1.743} - - {value: 3.146} - - {value: 2.797} - - {value: 2.764} - - {value: 2.764} - - {value: 2.764} - - {value: 2.748} - - {value: 2.655} - - {value: 2.552} - - {value: 2.458} - - {value: 2.37} - - {value: 2.287} - - {value: 2.102} - - {value: 4.255} - - {value: 4.255} - - {value: 4.243} - - {value: 4.043} - - {value: 3.812} - - {value: 1.49} - - {value: 1.42} - - {value: 1.361} - - {value: 1.312} - - {value: 1.286} - - {value: 2.023} - - {value: 1.892} - - {value: 1.799} - - {value: 1.777} - - {value: 1.777} - - {value: 1.777} - - {value: 1.777} - - {value: 1.777} - - {value: 2.836} - - {value: 2.611} - - {value: 2.503} - - {value: 2.5} - - {value: 2.5} - - {value: 2.5} - - {value: 2.5} - - {value: 2.5} - - {value: 2.5} - - {value: 2.471} - - {value: 4.46} - - {value: 3.966} - - {value: 3.918} - - {value: 3.918} - - {value: 3.918} - - {value: 3.896} - - {value: 3.764} - - {value: 3.619} - - {value: 3.485} - - {value: 3.361} - - {value: 3.244} - - {value: 2.981} - - {value: 6.033} - - {value: 6.033} - - {value: 6.015} - - {value: 5.731} - - {value: 5.402} - - {value: 2.099} - - {value: 1.999} - - {value: 1.916} - - {value: 1.843} - - {value: 1.788} - - {value: 2.852} - - {value: 2.666} - - {value: 2.535} - - {value: 2.505} - - {value: 2.504} - - {value: 2.504} - - {value: 2.504} - - {value: 2.504} - - {value: 3.996} - - {value: 3.678} - - {value: 3.525} - - {value: 3.522} - - {value: 3.522} - - {value: 3.522} - - {value: 3.522} - - {value: 3.522} - - {value: 3.522} - - {value: 3.481} - - {value: 6.281} - - {value: 5.585} - - {value: 5.517} - - {value: 5.517} - - {value: 5.517} - - {value: 5.485} - - {value: 5.301} - - {value: 5.097} - - {value: 4.908} - - {value: 4.734} - - {value: 4.569} - - {value: 4.202} - - {value: 8.496} - - {value: 8.496} - - {value: 8.471} - - {value: 8.072} - - {value: 7.608} - - {value: 3.301} - - {value: 3.146} - - {value: 3.015} - - {value: 2.901} - - {value: 2.813} - - {value: 4.482} - - {value: 4.19} - - {value: 3.984} - - {value: 3.936} - - {value: 3.935} - - {value: 3.935} - - {value: 3.935} - - {value: 3.935} - - {value: 6.282} - - {value: 5.78} - - {value: 5.539} - - {value: 5.533} - - {value: 5.533} - - {value: 5.533} - - {value: 5.533} - - {value: 5.533} - - {value: 5.533} - - {value: 5.47} - - {value: 9.871} - - {value: 8.772} - - {value: 8.666} - - {value: 8.666} - - {value: 8.666} - - {value: 8.617} - - {value: 8.328} - - {value: 8.008} - - {value: 7.714} - - {value: 7.441} - - {value: 7.18} - - {value: 6.597} - - {value: 13.359} - - {value: 13.359} - - {value: 13.322} - - {value: 12.69} - - {value: 11.965} - - {value: 5.071} - - {value: 4.832} - - {value: 4.631} - - {value: 4.454} - - {value: 4.32} - - {value: 6.89} - - {value: 6.44} - - {value: 6.122} - - {value: 6.048} - - {value: 6.047} - - {value: 6.047} - - {value: 6.047} - - {value: 6.047} - - {value: 9.652} - - {value: 8.881} - - {value: 8.509} - - {value: 8.501} - - {value: 8.501} - - {value: 8.501} - - {value: 8.501} - - {value: 8.501} - - {value: 8.501} - - {value: 8.404} - - {value: 15.177} - - {value: 13.486} - - {value: 13.321} - - {value: 13.321} - - {value: 13.321} - - {value: 13.245} - - {value: 12.798} - - {value: 12.305} - - {value: 11.855} - - {value: 11.435} - - {value: 11.035} - - {value: 20.541} - - {value: 20.541} - - {value: 20.483} - - {value: 19.513} - - {value: 18.389} - - {value: 6.819} - - {value: 6.496} - - {value: 6.224} - - {value: 5.987} - - {value: 5.81} - - {value: 9.262} - - {value: 8.658} - - {value: 8.229} - - {value: 8.13} - - {value: 8.129} - - {value: 8.129} - - {value: 8.129} - - {value: 8.129} - - {value: 12.978} - - {value: 11.938} - - {value: 11.437} - - {value: 11.426} - - {value: 11.426} - - {value: 11.426} - - {value: 11.426} - - {value: 11.426} - - {value: 11.426} - - {value: 11.296} - - {value: 20.404} - - {value: 18.128} - - {value: 17.908} - - {value: 17.908} - - {value: 17.908} - - {value: 17.806} - - {value: 17.214} - - {value: 16.552} - - {value: 15.948} - - {value: 15.382} - - {value: 14.845} - - {value: 14.675} - - {value: 13.715} - - {value: 13.031} - - {value: 12.873} - - {value: 12.87} - - {value: 12.87} - - {value: 12.87} - - {value: 12.87} - - {value: 20.535} - - {value: 18.893} - - {value: 18.105} - - {value: 18.086} - - {value: 18.086} - - {value: 18.086} - - {value: 18.086} - - {value: 18.086} - - {value: 18.086} - - {value: 17.882} - - {value: 32.238} - - {value: 28.65} - - {value: 28.303} - - {value: 28.303} - - {value: 28.303} - - {value: 28.146} - - {value: 27.209} - - {value: 26.174} - - {value: 25.228} - - {value: 24.339} diff --git a/data/COMPASS_PI_MINUS_2024.yaml b/data/COMPASS_PI_MINUS_2024.yaml index 817aabdcf..492e7f7b3 100644 --- a/data/COMPASS_PI_MINUS_2024.yaml +++ b/data/COMPASS_PI_MINUS_2024.yaml @@ -1224,1217 +1224,1217 @@ dependent_variables: independent_variables: - header: {name: "z"} values: - - {high: 0.25000, low: 0.20000, value: 0.02500} - - {high: 0.30000, low: 0.25000, value: 0.02500} - - {high: 0.35000, low: 0.30000, value: 0.02500} - - {high: 0.40000, low: 0.35000, value: 0.02500} - - {high: 0.45000, low: 0.40000, value: 0.02500} - - {high: 0.50000, low: 0.45000, value: 0.02500} - - {high: 0.55000, low: 0.50000, value: 0.02500} - - {high: 0.60000, low: 0.55000, value: 0.02500} - - {high: 0.25000, low: 0.20000, value: 0.02500} - - {high: 0.30000, low: 0.25000, value: 0.02500} - - {high: 0.35000, low: 0.30000, value: 0.02500} - - {high: 0.40000, low: 0.35000, value: 0.02500} - - {high: 0.45000, low: 0.40000, value: 0.02500} - - {high: 0.45000, low: 0.40000, value: 0.02500} - - {high: 0.50000, low: 0.45000, value: 0.02500} - - {high: 0.55000, low: 0.50000, value: 0.02500} - - {high: 0.60000, low: 0.55000, value: 0.02500} - - {high: 0.65000, low: 0.60000, value: 0.02500} - - {high: 0.70000, low: 0.65000, value: 0.02500} - - {high: 0.75000, low: 0.70000, value: 0.02500} - - {high: 0.85000, low: 0.75000, value: 0.05000} - - {high: 0.35000, low: 0.30000, value: 0.02500} - - {high: 0.40000, low: 0.35000, value: 0.02500} - - {high: 0.45000, low: 0.40000, value: 0.02500} - - {high: 0.50000, low: 0.45000, value: 0.02500} - - {high: 0.55000, low: 0.50000, value: 0.02500} - - {high: 0.60000, low: 0.55000, value: 0.02500} - - {high: 0.65000, low: 0.60000, value: 0.02500} - - {high: 0.70000, low: 0.65000, value: 0.02500} - - {high: 0.75000, low: 0.70000, value: 0.02500} - - {high: 0.85000, low: 0.75000, value: 0.05000} - - {high: 0.25000, low: 0.20000, value: 0.02500} - - {high: 0.30000, low: 0.25000, value: 0.02500} - - {high: 0.35000, low: 0.30000, value: 0.02500} - - {high: 0.40000, low: 0.35000, value: 0.02500} - - {high: 0.45000, low: 0.40000, value: 0.02500} - - {high: 0.50000, low: 0.45000, value: 0.02500} - - {high: 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qualifiers: - - {name: process, value: SIDIS} - - {name: observable, value: dsigma/dxdydz} - - {name: target_isoscalarity, value: 0.5} - - {name: prefactor, value: 1} - - {name: Vs, value: 17.35} - - {name: Q, low: 1, high: 7.745966692414834, integrate: true} - - {name: x, low: 0.004, high: 0.4, integrate: true} - - {name: z, low: 0.2, high: 0.85, integrate: true} - - {name: PS_reduction, W: 5, ymin: 0.1, ymax: 0.7} - - {name: hadron, value: PI} - - {name: charge, value: 1} - values: - - errors: - - {label: unc, value: 0.0155} - - {label: add, value: 0.0502} - value: 1.8171 - - errors: - - {label: unc, value: 0.0125} - - {label: add, value: 0.0501} - value: 1.2272 - - errors: - - {label: unc, value: 0.0112} - - {label: add, value: 0.0500} - value: 0.9095 - - errors: - - {label: unc, value: 0.0095} - - {label: add, value: 0.0503} - value: 0.6308 - - errors: - - {label: unc, value: 0.0084} - - {label: add, value: 0.0506} - value: 0.4661 - - errors: - - {label: unc, value: 0.0079} - - 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b/data/COMPASS_PI_PLUS_2024.yaml @@ -1224,1217 +1224,1217 @@ dependent_variables: independent_variables: - header: {name: "z"} values: - - {high: 0.25000, low: 0.20000, value: 0.02500} - - {high: 0.30000, low: 0.25000, value: 0.02500} - - {high: 0.35000, low: 0.30000, value: 0.02500} - - {high: 0.40000, low: 0.35000, value: 0.02500} - - {high: 0.45000, low: 0.40000, value: 0.02500} - - {high: 0.50000, low: 0.45000, value: 0.02500} - - {high: 0.55000, low: 0.50000, value: 0.02500} - - {high: 0.60000, low: 0.55000, value: 0.02500} - - {high: 0.25000, low: 0.20000, value: 0.02500} - - {high: 0.30000, low: 0.25000, value: 0.02500} - - {high: 0.35000, low: 0.30000, value: 0.02500} - - {high: 0.40000, low: 0.35000, value: 0.02500} - - {high: 0.45000, low: 0.40000, value: 0.02500} - - {high: 0.45000, low: 0.40000, value: 0.02500} - - {high: 0.50000, low: 0.45000, value: 0.02500} - - {high: 0.55000, low: 0.50000, value: 0.02500} - - {high: 0.60000, low: 0.55000, value: 0.02500} - - {high: 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value: 6.04700} + - {high: 6.04700, low: 6.04700, value: 6.04700} + - {high: 6.04700, low: 6.04700, value: 6.04700} + - {high: 6.04700, low: 6.04700, value: 6.04700} + - {high: 9.65200, low: 9.65200, value: 9.65200} + - {high: 8.88100, low: 8.88100, value: 8.88100} + - {high: 8.50900, low: 8.50900, value: 8.50900} + - {high: 8.50100, low: 8.50100, value: 8.50100} + - {high: 8.50100, low: 8.50100, value: 8.50100} + - {high: 8.50100, low: 8.50100, value: 8.50100} + - {high: 8.50100, low: 8.50100, value: 8.50100} + - {high: 8.50100, low: 8.50100, value: 8.50100} + - {high: 8.50100, low: 8.50100, value: 8.50100} + - {high: 8.40400, low: 8.40400, value: 8.40400} + - {high: 15.17700, low: 15.17700, value: 15.17700} + - {high: 13.48600, low: 13.48600, value: 13.48600} + - {high: 13.32100, low: 13.32100, value: 13.32100} + - {high: 13.32100, low: 13.32100, value: 13.32100} + - {high: 13.32100, low: 13.32100, value: 13.32100} + - {high: 13.24500, low: 13.24500, value: 13.24500} + - {high: 12.79800, low: 12.79800, value: 12.79800} + - {high: 12.30500, low: 12.30500, value: 12.30500} + - {high: 11.85500, low: 11.85500, value: 11.85500} + - {high: 11.43500, low: 11.43500, value: 11.43500} + - {high: 11.03500, low: 11.03500, value: 11.03500} + - {high: 20.54100, low: 20.54100, value: 20.54100} + - {high: 20.54100, low: 20.54100, value: 20.54100} + - {high: 20.48300, low: 20.48300, value: 20.48300} + - {high: 19.51300, low: 19.51300, value: 19.51300} + - {high: 18.38900, low: 18.38900, value: 18.38900} + - {high: 6.81900, low: 6.81900, value: 6.81900} + - {high: 6.49600, low: 6.49600, value: 6.49600} + - {high: 6.22400, low: 6.22400, value: 6.22400} + - {high: 5.98700, low: 5.98700, value: 5.98700} + - {high: 5.81000, low: 5.81000, value: 5.81000} + - {high: 9.26200, low: 9.26200, value: 9.26200} + - {high: 8.65800, low: 8.65800, value: 8.65800} + - {high: 8.22900, low: 8.22900, value: 8.22900} + - {high: 8.13000, low: 8.13000, value: 8.13000} + - {high: 8.12900, low: 8.12900, value: 8.12900} + - {high: 8.12900, low: 8.12900, value: 8.12900} + - {high: 8.12900, low: 8.12900, value: 8.12900} + - {high: 8.12900, low: 8.12900, value: 8.12900} + - {high: 12.97800, low: 12.97800, value: 12.97800} + - {high: 11.93800, low: 11.93800, value: 11.93800} + - {high: 11.43700, low: 11.43700, value: 11.43700} + - {high: 11.42600, low: 11.42600, value: 11.42600} + - {high: 11.42600, low: 11.42600, value: 11.42600} + - {high: 11.42600, low: 11.42600, value: 11.42600} + - {high: 11.42600, low: 11.42600, value: 11.42600} + - {high: 11.42600, low: 11.42600, value: 11.42600} + - {high: 11.42600, low: 11.42600, value: 11.42600} + - {high: 11.29600, low: 11.29600, value: 11.29600} + - {high: 20.40400, low: 20.40400, value: 20.40400} + - {high: 18.12800, low: 18.12800, value: 18.12800} + - {high: 17.90800, low: 17.90800, value: 17.90800} + - {high: 17.90800, low: 17.90800, value: 17.90800} + - {high: 17.90800, low: 17.90800, value: 17.90800} + - {high: 17.80600, low: 17.80600, value: 17.80600} + - {high: 17.21400, low: 17.21400, value: 17.21400} + - {high: 16.55200, low: 16.55200, value: 16.55200} + - {high: 15.94800, low: 15.94800, value: 15.94800} + - {high: 15.38200, low: 15.38200, value: 15.38200} + - {high: 14.84500, low: 14.84500, value: 14.84500} + - {high: 14.67500, low: 14.67500, value: 14.67500} + - {high: 13.71500, low: 13.71500, value: 13.71500} + - {high: 13.03100, low: 13.03100, value: 13.03100} + - {high: 12.87300, low: 12.87300, value: 12.87300} + - {high: 12.87000, low: 12.87000, value: 12.87000} + - {high: 12.87000, low: 12.87000, value: 12.87000} + - {high: 12.87000, low: 12.87000, value: 12.87000} + - {high: 12.87000, low: 12.87000, value: 12.87000} + - {high: 20.53500, low: 20.53500, value: 20.53500} + - {high: 18.89300, low: 18.89300, value: 18.89300} + - {high: 18.10500, low: 18.10500, value: 18.10500} + - {high: 18.08600, low: 18.08600, value: 18.08600} + - {high: 18.08600, low: 18.08600, value: 18.08600} + - {high: 18.08600, low: 18.08600, value: 18.08600} + - {high: 18.08600, low: 18.08600, value: 18.08600} + - {high: 18.08600, low: 18.08600, value: 18.08600} + - {high: 18.08600, low: 18.08600, value: 18.08600} + - {high: 17.88200, low: 17.88200, value: 17.88200} + - {high: 32.23800, low: 32.23800, value: 32.23800} + - {high: 28.65000, low: 28.65000, value: 28.65000} + - {high: 28.30300, low: 28.30300, value: 28.30300} + - {high: 28.30300, low: 28.30300, value: 28.30300} + - {high: 28.30300, low: 28.30300, value: 28.30300} + - {high: 28.14600, low: 28.14600, value: 28.14600} + - {high: 27.20900, low: 27.20900, value: 27.20900} + - {high: 26.17400, low: 26.17400, value: 26.17400} + - {high: 25.22800, low: 25.22800, value: 25.22800} + - {high: 24.33900, low: 24.33900, value: 24.33900} diff --git a/data/rawdata/charged_hadrons/filter.py b/data/rawdata/charged_hadrons/filter.py index 80b4d3316..b9683f207 100644 --- a/data/rawdata/charged_hadrons/filter.py +++ b/data/rawdata/charged_hadrons/filter.py @@ -1005,7 +1005,7 @@ def filter_SLD_HA_B(): # COMPASS - SIDIS, h+ def filter_COMPASS_HA_PLUS(): - nameexp = 'COMPASS_HA_PLUS' + nameexp = 'COMPASS_HA_PLUS_DECORR' infile = 'COMPASS/HEPData-ins1444985-v1-Table_3.csv' ndata = 311 cme = 17.34 #GeV @@ -1061,12 +1061,12 @@ def filter_COMPASS_HA_PLUS(): print('- header: {name: "Q2"}', file=f) print(' values:', file=f) for i in range(ndata): - print(' - {value: %7.5f}' - % (data.iloc[i,6]) , file=f) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,6], data.iloc[i,6], data.iloc[i,6]) , file=f) # COMPASS - SIDIS, h- def filter_COMPASS_HA_MINUS(): - nameexp = 'COMPASS_HA_MINUS' + nameexp = 'COMPASS_HA_MINUS_DECORR' infile = 'COMPASS/HEPData-ins1444985-v1-Table_4.csv' ndata = 311 cme = 17.34 #GeV @@ -1122,8 +1122,8 @@ def filter_COMPASS_HA_MINUS(): print('- header: {name: "Q2"}', file=f) print(' values:', file=f) for i in range(ndata): - print(' - {value: %7.5f}' - % (data.iloc[i,6]) , file=f) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,6], data.iloc[i,6], data.iloc[i,6]) , file=f) # COMPASS - SIDIS, h+ 2024 def filter_COMPASS_HA_PLUS_2024(): @@ -1169,22 +1169,23 @@ def filter_COMPASS_HA_PLUS_2024(): print(' values:', file=f) for i in range(ndata): print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' - % (data.iloc[i,5], data.iloc[i,4], ((data.iloc[i,5]-data.iloc[i,4])/2.)), file=f) + % (data.iloc[i,5], data.iloc[i,4], ((data.iloc[i,5]+data.iloc[i,4])/2.)), file=f) print('- header: {name: "x"}', file=f) print(' values:', file=f) for i in range(ndata): print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' - % (data.iloc[i,1], data.iloc[i,0], ((data.iloc[i,1]-data.iloc[i,0])/2.)) , file=f) + % (data.iloc[i,1], data.iloc[i,0], ((data.iloc[i,1]+data.iloc[i,0])/2.)) , file=f) print('- header: {name: "y"}', file=f) print(' values:', file=f) for i in range(ndata): print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' - % (data.iloc[i,3], data.iloc[i,2], ((data.iloc[i,3]-data.iloc[i,2])/2.)) , file=f) + % (data.iloc[i,3], data.iloc[i,2], ((data.iloc[i,3]+data.iloc[i,2])/2.)) , file=f) print('- header: {name: "Q2"}', file=f) print(' values:', file=f) for i in range(ndata): - print(' - {value: %7.5f}' - % ((data.iloc[i,1]-data.iloc[i,0])/2.*(data.iloc[i,3]-data.iloc[i,2])/2.*cme**2.) , file=f) + Q2av = (data.iloc[i,1]+data.iloc[i,0])/2.*(data.iloc[i,3]+data.iloc[i,2])/2.*cme**2. + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (Q2av, Q2av, Q2av) , file=f) # COMPASS - SIDIS, h- 2024 def filter_COMPASS_HA_MINUS_2024(): @@ -1230,22 +1231,23 @@ def filter_COMPASS_HA_MINUS_2024(): print(' values:', file=f) for i in range(ndata): print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' - % (data.iloc[i,5], data.iloc[i,4], ((data.iloc[i,5]-data.iloc[i,4])/2.)), file=f) + % (data.iloc[i,5], data.iloc[i,4], ((data.iloc[i,5]+data.iloc[i,4])/2.)), file=f) print('- header: {name: "x"}', file=f) print(' values:', file=f) for i in range(ndata): print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' - % (data.iloc[i,1], data.iloc[i,0], ((data.iloc[i,1]-data.iloc[i,0])/2.)) , file=f) + % (data.iloc[i,1], data.iloc[i,0], ((data.iloc[i,1]+data.iloc[i,0])/2.)) , file=f) print('- header: {name: "y"}', file=f) print(' values:', file=f) for i in range(ndata): print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' - % (data.iloc[i,3], data.iloc[i,2], ((data.iloc[i,3]-data.iloc[i,2])/2.)) , file=f) + % (data.iloc[i,3], data.iloc[i,2], ((data.iloc[i,3]+data.iloc[i,2])/2.)) , file=f) print('- header: {name: "Q2"}', file=f) print(' values:', file=f) for i in range(ndata): - print(' - {value: %7.5f}' - % ((data.iloc[i,1]-data.iloc[i,0])/2.*(data.iloc[i,3]-data.iloc[i,2])/2.*cme**2.) , file=f) + Q2av = (data.iloc[i,1]+data.iloc[i,0])/2.*(data.iloc[i,3]+data.iloc[i,2])/2.*cme**2. + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (Q2av, Q2av, Q2av) , file=f) # Filter data filter_TASSO14_HA() diff --git a/data/rawdata/kaon/filter.py b/data/rawdata/kaon/filter.py index faaf2e75b..9a33c4fa3 100644 --- a/data/rawdata/kaon/filter.py +++ b/data/rawdata/kaon/filter.py @@ -1222,7 +1222,7 @@ def filter_SLD_KA_B(): # COMPASS - SIDIS, K+ def filter_COMPASS_KA_PLUS(): - nameexp = 'COMPASS_KA_PLUS' + nameexp = 'COMPASS_KA_PLUS_DECORR' infile = 'COMPASS/HEPData-ins1483098-v1-Table_1.csv' ndata = 309 cme = 17.34 #GeV @@ -1278,12 +1278,12 @@ def filter_COMPASS_KA_PLUS(): print('- header: {name: "Q2"}', file=f) print(' values:', file=f) for i in range(ndata): - print(' - {value: %7.5f}' - % (data.iloc[i,6]) , file=f) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,6], data.iloc[i,6], data.iloc[i,6]) , file=f) # COMPASS - SIDIS, K- def filter_COMPASS_KA_MINUS(): - nameexp = 'COMPASS_KA_MINUS' + nameexp = 'COMPASS_KA_MINUS_DECORR' infile = 'COMPASS/HEPData-ins1483098-v1-Table_2.csv' ndata = 309 cme = 17.34 #GeV @@ -1339,8 +1339,8 @@ def filter_COMPASS_KA_MINUS(): print('- header: {name: "Q2"}', file=f) print(' values:', file=f) for i in range(ndata): - print(' - {value: %7.5f}' - % (data.iloc[i,6]) , file=f) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,6], data.iloc[i,6], data.iloc[i,6]) , file=f) # COMPASS - SIDIS, KA+ 2024 def filter_COMPASS_KA_PLUS_2024(): @@ -1386,22 +1386,23 @@ def filter_COMPASS_KA_PLUS_2024(): print(' values:', file=f) for i in range(ndata): print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' - % (data.iloc[i,5], data.iloc[i,4], ((data.iloc[i,5]-data.iloc[i,4])/2.)), file=f) + % (data.iloc[i,5], data.iloc[i,4], ((data.iloc[i,5]+data.iloc[i,4])/2.)), file=f) print('- header: {name: "x"}', file=f) print(' values:', file=f) for i in range(ndata): print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' - % (data.iloc[i,1], data.iloc[i,0], ((data.iloc[i,1]-data.iloc[i,0])/2.)) , file=f) + % (data.iloc[i,1], data.iloc[i,0], ((data.iloc[i,1]+data.iloc[i,0])/2.)) , file=f) print('- header: {name: "y"}', file=f) print(' values:', file=f) for i in range(ndata): print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' - % (data.iloc[i,3], data.iloc[i,2], ((data.iloc[i,3]-data.iloc[i,2])/2.)) , file=f) + % (data.iloc[i,3], data.iloc[i,2], ((data.iloc[i,3]+data.iloc[i,2])/2.)) , file=f) print('- header: {name: "Q2"}', file=f) print(' values:', file=f) for i in range(ndata): - print(' - {value: %7.5f}' - % ((data.iloc[i,1]-data.iloc[i,0])/2.*(data.iloc[i,3]-data.iloc[i,2])/2.*cme**2.) , file=f) + Q2av = (data.iloc[i,1]+data.iloc[i,0])/2.*(data.iloc[i,3]+data.iloc[i,2])/2.*cme**2. + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (Q2av, Q2av, Q2av) , file=f) # COMPASS - SIDIS, K- 2024 def filter_COMPASS_KA_MINUS_2024(): @@ -1447,22 +1448,23 @@ def filter_COMPASS_KA_MINUS_2024(): print(' values:', file=f) for i in range(ndata): print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' - % (data.iloc[i,5], data.iloc[i,4], ((data.iloc[i,5]-data.iloc[i,4])/2.)), file=f) + % (data.iloc[i,5], data.iloc[i,4], ((data.iloc[i,5]+data.iloc[i,4])/2.)), file=f) print('- header: {name: "x"}', file=f) print(' values:', file=f) for i in range(ndata): print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' - % (data.iloc[i,1], data.iloc[i,0], ((data.iloc[i,1]-data.iloc[i,0])/2.)) , file=f) + % (data.iloc[i,1], data.iloc[i,0], ((data.iloc[i,1]+data.iloc[i,0])/2.)) , file=f) print('- header: {name: "y"}', file=f) print(' values:', file=f) for i in range(ndata): print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' - % (data.iloc[i,3], data.iloc[i,2], ((data.iloc[i,3]-data.iloc[i,2])/2.)) , file=f) + % (data.iloc[i,3], data.iloc[i,2], ((data.iloc[i,3]+data.iloc[i,2])/2.)) , file=f) print('- header: {name: "Q2"}', file=f) print(' values:', file=f) for i in range(ndata): - print(' - {value: %7.5f}' - % ((data.iloc[i,1]-data.iloc[i,0])/2.*(data.iloc[i,3]-data.iloc[i,2])/2.*cme**2.) , file=f) + Q2av = (data.iloc[i,1]+data.iloc[i,0])/2.*(data.iloc[i,3]+data.iloc[i,2])/2.*cme**2. + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (Q2av, Q2av, Q2av) , file=f) # Filter data filter_BESIII_KAp() diff --git a/data/rawdata/pion/filter.py b/data/rawdata/pion/filter.py index e852d7cce..f13852050 100644 --- a/data/rawdata/pion/filter.py +++ b/data/rawdata/pion/filter.py @@ -44,7 +44,7 @@ def filter_BESIII_PIp(): with open(nameexp + '.yaml', 'w') as f: print('dependent_variables:', file=f) - print('- header: {title: "BESIII $\\pi^+$ Multiplicity"}', file=f) + print('- header: {title: "BESIII $\\\\pi^+$ Multiplicity"}', file=f) print(' qualifiers:', file=f) print(' - {name: process, value: SIA}', file=f) print(' - {name: Vs, value: ', cme[l], ', units: GeV}', file=f) @@ -116,7 +116,7 @@ def filter_BESIII_PIm(): with open(nameexp + '.yaml', 'w') as f: print('dependent_variables:', file=f) - print('- header: {title: "BESIII $\\pi^-$ Multiplicity"}', file=f) + print('- header: {title: "BESIII $\\\\pi^-$ Multiplicity"}', file=f) print(' qualifiers:', file=f) print(' - {name: process, value: SIA}', file=f) print(' - {name: Vs, value: ', cme[l], ', units: GeV}', file=f) @@ -1248,7 +1248,7 @@ def filter_SLD_KA_B(): # COMPASS - SIDIS, pi+ def filter_COMPASS_PI_PLUS(): - nameexp = 'COMPASS_PI_PLUS' + nameexp = 'COMPASS_PI_PLUS_DECORR' infile = 'COMPASS/HEPData-ins1444985-v1-Table_1.csv' ndata = 311 cme = 17.34 #GeV @@ -1264,7 +1264,7 @@ def filter_COMPASS_PI_PLUS(): with open(nameexp + '.yaml', 'w') as f: print('dependent_variables:', file=f) - print('- header: {title: "COMPASS $\pi^+$ Multiplicities"}', file=f) + print('- header: {title: "COMPASS $\\\\pi^+$ Multiplicities"}', file=f) print(' qualifiers:', file=f) print(' - {name: process, value: SIDIS}', file=f) print(' - {name: observable, value: dsigma/dxdydz}', file=f) @@ -1304,12 +1304,12 @@ def filter_COMPASS_PI_PLUS(): print('- header: {name: "Q2"}', file=f) print(' values:', file=f) for i in range(ndata): - print(' - {value: %7.5f}' - % (data.iloc[i,6]) , file=f) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,6], data.iloc[i,6], data.iloc[i,6]) , file=f) # COMPASS - SIDIS, pi- def filter_COMPASS_PI_MINUS(): - nameexp = 'COMPASS_PI_MINUS' + nameexp = 'COMPASS_PI_MINUS_DECORR' infile = 'COMPASS/HEPData-ins1444985-v1-Table_2.csv' ndata = 311 cme = 17.34 #GeV @@ -1325,7 +1325,7 @@ def filter_COMPASS_PI_MINUS(): with open(nameexp + '.yaml', 'w') as f: print('dependent_variables:', file=f) - print('- header: {title: "COMPASS $\pi^-$ Multiplicities"}', file=f) + print('- header: {title: "COMPASS $\\\\pi^-$ Multiplicities"}', file=f) print(' qualifiers:', file=f) print(' - {name: process, value: SIDIS}', file=f) print(' - {name: observable, value: dsigma/dxdydz}', file=f) @@ -1365,8 +1365,8 @@ def filter_COMPASS_PI_MINUS(): print('- header: {name: "Q2"}', file=f) print(' values:', file=f) for i in range(ndata): - print(' - {value: %7.5f}' - % (data.iloc[i,6]) , file=f) + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (data.iloc[i,6], data.iloc[i,6], data.iloc[i,6]) , file=f) # COMPASS - SIDIS, PI+ 2024 def filter_COMPASS_PI_PLUS_2024(): @@ -1386,7 +1386,7 @@ def filter_COMPASS_PI_PLUS_2024(): with open(nameexp + '.yaml', 'w') as f: print('dependent_variables:', file=f) - print('- header: {title: "COMPASS 2024 $\pi^+$ Multiplicities"}', file=f) + print('- header: {title: "COMPASS 2024 $\\\\pi^+$ Multiplicities"}', file=f) print(' qualifiers:', file=f) print(' - {name: process, value: SIDIS}', file=f) print(' - {name: observable, value: dsigma/dxdydz}', file=f) @@ -1412,22 +1412,23 @@ def filter_COMPASS_PI_PLUS_2024(): print(' values:', file=f) for i in range(ndata): print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' - % (data.iloc[i,5], data.iloc[i,4], ((data.iloc[i,5]-data.iloc[i,4])/2.)), file=f) + % (data.iloc[i,5], data.iloc[i,4], ((data.iloc[i,5]+data.iloc[i,4])/2.)), file=f) print('- header: {name: "x"}', file=f) print(' values:', file=f) for i in range(ndata): print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' - % (data.iloc[i,1], data.iloc[i,0], ((data.iloc[i,1]-data.iloc[i,0])/2.)) , file=f) + % (data.iloc[i,1], data.iloc[i,0], ((data.iloc[i,1]+data.iloc[i,0])/2.)) , file=f) print('- header: {name: "y"}', file=f) print(' values:', file=f) for i in range(ndata): print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' - % (data.iloc[i,3], data.iloc[i,2], ((data.iloc[i,3]-data.iloc[i,2])/2.)) , file=f) + % (data.iloc[i,3], data.iloc[i,2], ((data.iloc[i,3]+data.iloc[i,2])/2.)) , file=f) print('- header: {name: "Q2"}', file=f) print(' values:', file=f) for i in range(ndata): - print(' - {value: %7.5f}' - % ((data.iloc[i,1]-data.iloc[i,0])/2.*(data.iloc[i,3]-data.iloc[i,2])/2.*cme**2.) , file=f) + Q2av = (data.iloc[i,1]+data.iloc[i,0])/2.*(data.iloc[i,3]+data.iloc[i,2])/2.*cme**2. + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (Q2av, Q2av, Q2av) , file=f) # COMPASS - SIDIS, PI- 2024 def filter_COMPASS_PI_MINUS_2024(): @@ -1447,7 +1448,7 @@ def filter_COMPASS_PI_MINUS_2024(): with open(nameexp + '.yaml', 'w') as f: print('dependent_variables:', file=f) - print('- header: {title: "COMPASS 2024 $\pi^-$ Multiplicities"}', file=f) + print('- header: {title: "COMPASS 2024 $\\\\pi^-$ Multiplicities"}', file=f) print(' qualifiers:', file=f) print(' - {name: process, value: SIDIS}', file=f) print(' - {name: observable, value: dsigma/dxdydz}', file=f) @@ -1473,22 +1474,23 @@ def filter_COMPASS_PI_MINUS_2024(): print(' values:', file=f) for i in range(ndata): print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' - % (data.iloc[i,5], data.iloc[i,4], ((data.iloc[i,5]-data.iloc[i,4])/2.)), file=f) + % (data.iloc[i,5], data.iloc[i,4], ((data.iloc[i,5]+data.iloc[i,4])/2.)), file=f) print('- header: {name: "x"}', file=f) print(' values:', file=f) for i in range(ndata): print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' - % (data.iloc[i,1], data.iloc[i,0], ((data.iloc[i,1]-data.iloc[i,0])/2.)) , file=f) + % (data.iloc[i,1], data.iloc[i,0], ((data.iloc[i,1]+data.iloc[i,0])/2.)) , file=f) print('- header: {name: "y"}', file=f) print(' values:', file=f) for i in range(ndata): print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' - % (data.iloc[i,3], data.iloc[i,2], ((data.iloc[i,3]-data.iloc[i,2])/2.)) , file=f) + % (data.iloc[i,3], data.iloc[i,2], ((data.iloc[i,3]+data.iloc[i,2])/2.)) , file=f) print('- header: {name: "Q2"}', file=f) print(' values:', file=f) for i in range(ndata): - print(' - {value: %7.5f}' - % ((data.iloc[i,1]-data.iloc[i,0])/2.*(data.iloc[i,3]-data.iloc[i,2])/2.*cme**2.) , file=f) + Q2av = (data.iloc[i,1]+data.iloc[i,0])/2.*(data.iloc[i,3]+data.iloc[i,2])/2.*cme**2. + print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' + % (Q2av, Q2av, Q2av) , file=f) # Filter data #filter_BELLE_KA() @@ -1511,9 +1513,9 @@ def filter_COMPASS_PI_MINUS_2024(): #filter_SLD_KA_UDS() #filter_SLD_KA_C() #filter_SLD_KA_B() -#filter_COMPASS_PI_PLUS() -#filter_COMPASS_PI_MINUS() -#filter_COMPASS_PI_PLUS_2024() -#filter_COMPASS_PI_MINUS_2024() +filter_COMPASS_PI_PLUS() +filter_COMPASS_PI_MINUS() +filter_COMPASS_PI_PLUS_2024() +filter_COMPASS_PI_MINUS_2024() filter_BESIII_PIp() filter_BESIII_PIm() From f0b8f15234e40c9adc7baca9ea61595191a6eb9f Mon Sep 17 00:00:00 2001 From: vbertone Date: Sun, 27 Jul 2025 08:01:07 +0200 Subject: [PATCH 28/29] Uploading reference card --- config/config_global.yaml | 257 ++++++++++++++++++++++++++++++++++++++ 1 file changed, 257 insertions(+) create mode 100644 config/config_global.yaml diff --git a/config/config_global.yaml b/config/config_global.yaml new file mode 100644 index 000000000..f4cb80342 --- /dev/null +++ b/config/config_global.yaml @@ -0,0 +1,257 @@ +################################# +# Predictions +################################# +Predictions: + # Perturbative order, 0: LO, 1: NLO + perturbative order: 2 + + # Initial scale in GeV to be used for the DGLAP evolution of the FFs. + mu0: 5 + + # Quark thresholds + thresholds: [0, 0, 0, 1.51, 4.92] + + # Strong coupling + alphas: + aref: 0.118 + Qref: 91.1876 + + # Fine-structure constant + alphaem: + aref: 0.00776578395589 + Qref: 91.1876 + + # APFEL++ grid + xgrid: + - [100, 0.001, 3] + - [33, 0.1023293, 3] + - [48, 0.81283052, 3] + + zgrid: + - [100, 0.01, 3] + - [34, 0.20892961, 3] + - [48, 0.83176377, 3] + + # PDF set + pdfset: + name: NNPDF31_nnlo_pch_as_0118 + member: -1 #N>=0 for a specific member (0 for central) ; N<0 for all members to be used randomly(flat dist) + +################################# +# Optimiser +################################# +# Parameters of the optimiser managed by ceres-solver +Optimizer: + max_num_iterations: 3000 + chi2_tolerance: 3 +################################# +# NNAD +################################# +NNAD: + # Initialisation seed + seed: 4 + # Architecture + architecture: [1, 25, 23] + # The output function can be either the activation function of the + # NN (0), or linear (1), or quadratic (2). If this entry is absent a + # linear function is assumed. + output function: 2 + # The flavour map gives the the specific combinations of + # distributions in the physical-basis (d, u, s, ..) to be fitted to + # the data. The number of combinations has to match the number of + # nodes of the output layer of the NN given in the + # architecture. When defining the flavour map, one should keep in + # mind that the code computes predictions using the QCD-evolution + # basis (Sigma, V, T3, ...). Therefore, in general, + # QCD-evolution-like combinations should be preferred. Moreover, the + # distributions are assumed to be for the positive charge of the a + # given hadronic species. The negative distributions are derived + # using charge conjugation (q->qbar). + + flavour maps: +# - {hadron: KA, +# map: [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, # - sb +# 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, # - g +# 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, # - s = ubar +# 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, # - u +# 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, # - d+ +# 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, # - c+ +# 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0 # - b+ +# #tb bb cb sb ub db g d u s c b t +# ], +# SetName: LHAPDFSet_KA} + - {hadron: PI, + map: [0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, # - db + 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, # - g + 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, # - d = ubar + 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, # - u + 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, # - s+ + 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, # - c+ + 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0 + #tb bb cb sb ub db g d u s c b t + ], + SetName: LHAPDFSet_PI} +# - {hadron: PR, +# map: [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, # - g +# 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, # - u+, +# 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, # - d++s+ +# 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, # - c+ +# 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0 # - b+ +# #tb bb cb sb ub db g d u s c b t +# ], +# SetName: LHAPDFSet_PR} +# - {hadron: H, +# map: [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, # - g +# 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, # - u+, +# 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, # - d++s+ +# 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, # - c+ +# 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0 # - b+ +# #tb bb cb sb ub db g d u s c b t +# ], +# SetName: NNFF11_HadronSum_nlo} +# combine: true +################################# +# Data +################################# +Data: + # Seed used for the replica generation and the splitting between + # training and validation (do not use a too large number here in + # order to avoid correlation in the replica generation). + seed: 0 + + # Datasets to be included in the fit along with specific cuts and + # traning fraction. Each single dataset can implement an arbitrary + # number of cuts determined by the name of the appropriate function + # (e.g. zcut) and the allowed range. + sets: + # KAONS +# - {name: "HERMES $K^-$ deuteron", file: "HERMES_KA_MINUS_DEUTERON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} +# - {name: "HERMES $K^-$ proton", file: "HERMES_KA_MINUS_PROTON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} +# - {name: "HERMES $K^+$ deuteron", file: "HERMES_KA_PLUS_DEUTERON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} +# - {name: "HERMES $K^+$ proton", file: "HERMES_KA_PLUS_PROTON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} +# - {name: "COMPASS $K^-$", file: "COMPASS_KA_MINUS_DECORR.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} +# - {name: "COMPASS $K^+$", file: "COMPASS_KA_PLUS_DECORR.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} +# - {name: "COMPASS $K^-$ proton", file: "COMPASS_KA_MINUS_2024.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} +# - {name: "COMPASS $K^+$ proton", file: "COMPASS_KA_PLUS_2024.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} +# - {name: "BESIII $K^-$ 2 GeV", file: "BESIII_KA_MINUS_2p0000.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "BESIII $K^-$ 2.2 GeV", file: "BESIII_KA_MINUS_2p0000.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "BESIII $K^-$ 2.39 GeV", file: "BESIII_KA_MINUS_2p3960.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "BESIII $K^-$ 2.64 GeV", file: "BESIII_KA_MINUS_2p6444.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "BESIII $K^-$ 2.90 GeV", file: "BESIII_KA_MINUS_2p9000.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "BESIII $K^-$ 3.05 GeV", file: "BESIII_KA_MINUS_3p0500.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "BESIII $K^-$ 3.50 GeV", file: "BESIII_KA_MINUS_3p5000.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "BESIII $K^-$ 3.67 GeV", file: "BESIII_KA_MINUS_3p6710.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "BESIII $K^+$ 2 GeV", file: "BESIII_KA_PLUS_2p0000.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "BESIII $K^+$ 2.2 GeV", file: "BESIII_KA_PLUS_2p0000.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "BESIII $K^+$ 2.39 GeV", file: "BESIII_KA_PLUS_2p3960.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "BESIII $K^+$ 2.64 GeV", file: "BESIII_KA_PLUS_2p6444.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "BESIII $K^+$ 2.90 GeV", file: "BESIII_KA_PLUS_2p9000.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "BESIII $K^+$ 3.05 GeV", file: "BESIII_KA_PLUS_3p0500.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "BESIII $K^+$ 3.50 GeV", file: "BESIII_KA_PLUS_3p5000.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "BESIII $K^+$ 3.67 GeV", file: "BESIII_KA_PLUS_3p6710.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "BELLE $K^\\pm$", file: "BELLE_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "BABAR conventional $K^\\pm$", file: "BABAR_KA_PLUS_MINUS_CONVENTIONAL.yaml", cuts: [{name: zcut, min: 0.2, max: 0.9}], training fraction: 0.5} +# - {name: "TASSO 12 GeV $K^\\pm$", file: "TASSO_12_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "TASSO 14 GeV $K^\\pm$", file: "TASSO_14_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "TASSO 22 GeV $K^\\pm$", file: "TASSO_22_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "TPC $K^\\pm$", file: "TPC_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "TASSO 30 GeV $K^\\pm$", file: "TASSO_30_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "TASSO 34 GeV $K^\\pm$", file: "TASSO_34_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "TASSO 44 GeV $K^\\pm$", file: "TASSO_44_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "TOPAZ $K^\\pm$", file: "TOPAZ_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "ALEPH $K^\\pm$", file: "ALEPH_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} +# - {name: "DELPHI total $K^\\pm$", file: "DELPHI_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} +# - {name: "DELPHI $uds$ $K^\\pm$", file: "DELPHI_KA_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} +# - {name: "DELPHI bottom $K^\\pm$", file: "DELPHI_KA_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} +# - {name: "OPAL $K^\\pm$", file: "OPAL_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} +# - {name: "SLD total $K^\\pm$", file: "SLD_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} +# - {name: "SLD $uds$ $K^\\pm$", file: "SLD_KA_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} +# - {name: "SLD bottom $K^\\pm$", file: "SLD_KA_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + # PIONS + - {name: "HERMES $\\pi^-$ deuteron", file: "HERMES_PI_MINUS_DEUTERON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + - {name: "HERMES $\\pi^-$ proton", file: "HERMES_PI_MINUS_PROTON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + - {name: "HERMES $\\pi^+$ deuteron", file: "HERMES_PI_PLUS_DEUTERON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + - {name: "HERMES $\\pi^+$ proton", file: "HERMES_PI_PLUS_PROTON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + - {name: "COMPASS $\\pi^-$", file: "COMPASS_PI_MINUS_DECORR.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} + - {name: "COMPASS $\\pi^+$", file: "COMPASS_PI_PLUS_DECORR.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} + - {name: "COMPASS $\\pi^-$ proton", file: "COMPASS_PI_MINUS_2024.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} + - {name: "COMPASS $\\pi^+$ proton", file: "COMPASS_PI_PLUS_2024.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} +# - {name: "BESIII $\\pi^-$ 2 GeV", file: "BESIII_PI_MINUS_2p0000.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "BESIII $\\pi^-$ 2.2 GeV", file: "BESIII_PI_MINUS_2p2000.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "BESIII $\\pi^-$ 2.39 GeV", file: "BESIII_PI_MINUS_2p3960.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "BESIII $\\pi^-$ 2.64 GeV", file: "BESIII_PI_MINUS_2p6444.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "BESIII $\\pi^-$ 2.90 GeV", file: "BESIII_PI_MINUS_2p9000.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $\\pi^-$ 3.05 GeV", file: "BESIII_PI_MINUS_3p0500.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $\\pi^-$ 3.50 GeV", file: "BESIII_PI_MINUS_3p5000.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $\\pi^-$ 3.67 GeV", file: "BESIII_PI_MINUS_3p6710.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "BESIII $\\pi^+$ 2 GeV", file: "BESIII_PI_PLUS_2p0000.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "BESIII $\\pi^+$ 2.2 GeV", file: "BESIII_PI_PLUS_2p2000.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "BESIII $\\pi^+$ 2.39 GeV", file: "BESIII_PI_PLUS_2p3960.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "BESIII $\\pi^+$ 2.64 GeV", file: "BESIII_PI_PLUS_2p6444.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "BESIII $\\pi^+$ 2.90 GeV", file: "BESIII_PI_PLUS_2p9000.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $\\pi^+$ 3.05 GeV", file: "BESIII_PI_PLUS_3p0500.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $\\pi^+$ 3.50 GeV", file: "BESIII_PI_PLUS_3p5000.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $\\pi^+$ 3.67 GeV", file: "BESIII_PI_PLUS_3p6710.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BELLE $\\pi^\\pm$", file: "BELLE_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BABAR prompt $\\pi^\\pm$", file: "BABAR_PI_PLUS_MINUS_PROMPT.yaml", cuts: [{name: zcut, min: 0.076, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 12 GeV $\\pi^\\pm$", file: "TASSO_12_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 14 GeV $\\pi^\\pm$", file: "TASSO_14_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 22 GeV $\\pi^\\pm$", file: "TASSO_22_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TPC $\\pi^\\pm$", file: "TPC_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 30 GeV $\\pi^\\pm$", file: "TASSO_30_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 34 GeV $\\pi^\\pm$", file: "TASSO_34_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 44 GeV $\\pi^\\pm$", file: "TASSO_44_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TOPAZ $\\pi^\\pm$", file: "TOPAZ_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "ALEPH $\\pi^\\pm$", file: "ALEPH_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "DELPHI total $\\pi^\\pm$", file: "DELPHI_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "DELPHI $uds$ $\\pi^\\pm$", file: "DELPHI_PI_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "DELPHI bottom $\\pi^\\pm$", file: "DELPHI_PI_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "OPAL $\\pi^\\pm$", file: "OPAL_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "SLD total $\\pi^\\pm$", file: "SLD_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "SLD $uds$ $\\pi^\\pm$", file: "SLD_PI_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "SLD bottom $\\pi^\\pm$", file: "SLD_PI_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + # PROTONS +# - {name: "BABAR prompt $p/\\overline{p}$", file: "BABAR_PR_PLUS_MINUS_PROMPT.yaml", cuts: [{name: zcut, min: 0.076, max: 0.9}], training fraction: 0.5} +# - {name: "BELLE $p/\\overline{p}$", file: "BELLE_PR_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.076, max: 0.9}], training fraction: 0.5} +# - {name: "TASSO 12 GeV $p/\\overline{p}$", file: "TASSO_12_PR_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "TASSO 14 GeV $p/\\overline{p}$", file: "TASSO_14_PR_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "TASSO 22 GeV $p/\\overline{p}$", file: "TASSO_22_PR_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "TPC $p/\\overline{p}$", file: "TPC_PR_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "TASSO 30 GeV $p/\\overline{p}$", file: "TASSO_30_PR_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "TASSO 34 GeV $p/\\overline{p}$", file: "TASSO_34_PR_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "TASSO 44 GeV $p/\\overline{p}$", file: "TASSO_44_PR_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "ALEPH $p/\\overline{p}$", file: "ALEPH_PR_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} +# - {name: "DELPHI total $p/\\overline{p}$", file: "DELPHI_PR_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} +# - {name: "DELPHI $uds$ $p/\\overline{p}$", file: "DELPHI_PR_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} +# - {name: "DELPHI bottom $p/\\overline{p}$", file: "DELPHI_PR_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} +# - {name: "SLD total $p/\\overline{p}$", file: "SLD_PR_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} +# - {name: "SLD $uds$ $p/\\overline{p}$", file: "SLD_PR_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} +# - {name: "SLD charm $p/\\overline{p}$", file: "SLD_PR_PLUS_MINUS_C.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} +# - {name: "SLD bottom $p/\\overline{p}$", file: "SLD_PR_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} +# # HADRONS +# - {name: "COMPASS $h^-$", file: "COMPASS_HA_MINUS_DECORR.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} +# - {name: "COMPASS $h^+$", file: "COMPASS_HA_PLUS_DECORR.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} +# - {name: "COMPASS $h^-$ proton", file: "COMPASS_HA_MINUS_2024.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} +# - {name: "COMPASS $h^+$ proton", file: "COMPASS_HA_PLUS_2024.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} +# - {name: "TASSO 14 GeV $h^\\pm$", file: "TASSO_14_HA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "TASSO 22 GeV $h^\\pm$", file: "TASSO_22_HA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "TPC $h^\\pm$", file: "TPC_HA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "TASSO 35 GeV $h^\\pm$", file: "TASSO_35_HA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "TASSO 44 GeV $h^\\pm$", file: "TASSO_44_HA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} +# - {name: "ALEPH $h^\\pm$", file: "ALEPH_HA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} +# - {name: "ALEPH L $h^\\pm$", file: "ALEPH_HA_L_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} +# - {name: "DELPHI total $h^\\pm$", file: "DELPHI_HA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} +# - {name: "DELPHI $uds$ $h^\\pm$", file: "DELPHI_HA_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} +# - {name: "DELPHI bottom $h^\\pm$", file: "DELPHI_HA_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} +# - {name: "DELPHI L $h^\\pm$", file: "DELPHI_HA_L_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} +# - {name: "DELPHI L B $h^\\pm$", file: "DELPHI_HA_L_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} +# - {name: "DELPHI L uds $h^\\pm$", file: "DELPHI_HA_L_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} +# - {name: "OPAL total $h^\\pm$", file: "OPAL_HA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} +# - {name: "OPAL $uds$ $h^\\pm$", file: "OPAL_HA_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} +# - {name: "OPAL charm $h^\\pm$", file: "OPAL_HA_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} +# - {name: "OPAL bottom $h^\\pm$", file: "OPAL_HA_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} +# - {name: "OPAL L $h^\\pm$", file: "OPAL_HA_L_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} +# - {name: "SLD total $h^\\pm$", file: "SLD_HA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} +# - {name: "SLD $uds$ $h^\\pm$", file: "SLD_HA_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} +# - {name: "SLD charm $h^\\pm$", file: "SLD_HA_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} +# - {name: "SLD bottom $h^\\pm$", file: "SLD_HA_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} From 710655065bef94bd6cd33cbbec813aa632b341bf Mon Sep 17 00:00:00 2001 From: vbertone Date: Sun, 27 Jul 2025 18:21:44 +0200 Subject: [PATCH 29/29] Adjusting data --- config/MAPFF30_PI_KA_PR_HA_NNLO.yaml | 257 +++++++++++++++++++++++++ config/config_global.yaml | 10 +- data/COMPASS_HA_MINUS_DECORR.yaml | 2 +- data/COMPASS_KA_MINUS_2024.yaml | 56 ------ data/OPAL_HA_PLUS_MINUS_B.yaml | 102 ++++++++++ data/OPAL_HA_PLUS_MINUS_C.yaml | 102 ++++++++++ data/OPAL_HA_PLUS_MINUS_UDS.yaml | 102 ++++++++++ data/rawdata/charged_hadrons/filter.py | 9 +- data/rawdata/kaon/filter.py | 12 +- 9 files changed, 586 insertions(+), 66 deletions(-) create mode 100644 config/MAPFF30_PI_KA_PR_HA_NNLO.yaml create mode 100644 data/OPAL_HA_PLUS_MINUS_B.yaml create mode 100644 data/OPAL_HA_PLUS_MINUS_C.yaml create mode 100644 data/OPAL_HA_PLUS_MINUS_UDS.yaml diff --git a/config/MAPFF30_PI_KA_PR_HA_NNLO.yaml b/config/MAPFF30_PI_KA_PR_HA_NNLO.yaml new file mode 100644 index 000000000..6aa2c24c5 --- /dev/null +++ b/config/MAPFF30_PI_KA_PR_HA_NNLO.yaml @@ -0,0 +1,257 @@ +################################# +# Predictions +################################# +Predictions: + # Perturbative order, 0: LO, 1: NLO + perturbative order: 2 + + # Initial scale in GeV to be used for the DGLAP evolution of the FFs. + mu0: 5 + + # Quark thresholds + thresholds: [0, 0, 0, 1.51, 4.92] + + # Strong coupling + alphas: + aref: 0.118 + Qref: 91.1876 + + # Fine-structure constant + alphaem: + aref: 0.00776578395589 + Qref: 91.1876 + + # APFEL++ grid + xgrid: + - [100, 0.001, 3] + - [33, 0.1023293, 3] + - [48, 0.81283052, 3] + + zgrid: + - [100, 0.01, 3] + - [34, 0.20892961, 3] + - [48, 0.83176377, 3] + + # PDF set + pdfset: + name: NNPDF31_nnlo_pch_as_0118 + member: -1 #N>=0 for a specific member (0 for central) ; N<0 for all members to be used randomly(flat dist) + +################################# +# Optimiser +################################# +# Parameters of the optimiser managed by ceres-solver +Optimizer: + max_num_iterations: 3000 + chi2_tolerance: 3 +################################# +# NNAD +################################# +NNAD: + # Initialisation seed + seed: 4 + # Architecture + architecture: [1, 25, 23] + # The output function can be either the activation function of the + # NN (0), or linear (1), or quadratic (2). If this entry is absent a + # linear function is assumed. + output function: 2 + # The flavour map gives the the specific combinations of + # distributions in the physical-basis (d, u, s, ..) to be fitted to + # the data. The number of combinations has to match the number of + # nodes of the output layer of the NN given in the + # architecture. When defining the flavour map, one should keep in + # mind that the code computes predictions using the QCD-evolution + # basis (Sigma, V, T3, ...). Therefore, in general, + # QCD-evolution-like combinations should be preferred. Moreover, the + # distributions are assumed to be for the positive charge of the a + # given hadronic species. The negative distributions are derived + # using charge conjugation (q->qbar). + + flavour maps: + - {hadron: KA, + map: [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, # - sb + 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, # - g + 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, # - s = ubar + 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, # - u + 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, # - d+ + 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, # - c+ + 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0 # - b+ + #tb bb cb sb ub db g d u s c b t + ], + SetName: MAPFF10NNLOKAp} + - {hadron: PI, + map: [0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, # - db + 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, # - g + 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, # - d = ubar + 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, # - u + 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, # - s+ + 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, # - c+ + 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0 + #tb bb cb sb ub db g d u s c b t + ], + SetName: MAPFF10NNLOPIp} + - {hadron: PR, + map: [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, # - g + 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, # - u+, + 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, # - d++s+ + 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, # - c+ + 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0 # - b+ + #tb bb cb sb ub db g d u s c b t + ], + SetName: NNFF10_PRp_nnlo} + - {hadron: H, + map: [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, # - g + 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, # - u+, + 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, # - d++s+ + 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, # - c+ + 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0 # - b+ + #tb bb cb sb ub db g d u s c b t + ], + SetName: NNFF11_HadronSum_nlo} +# combine: true +################################# +# Data +################################# +Data: + # Seed used for the replica generation and the splitting between + # training and validation (do not use a too large number here in + # order to avoid correlation in the replica generation). + seed: 0 + + # Datasets to be included in the fit along with specific cuts and + # traning fraction. Each single dataset can implement an arbitrary + # number of cuts determined by the name of the appropriate function + # (e.g. zcut) and the allowed range. + sets: + # KAONS + - {name: "HERMES $K^-$ deuteron", file: "HERMES_KA_MINUS_DEUTERON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + - {name: "HERMES $K^-$ proton", file: "HERMES_KA_MINUS_PROTON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + - {name: "HERMES $K^+$ deuteron", file: "HERMES_KA_PLUS_DEUTERON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + - {name: "HERMES $K^+$ proton", file: "HERMES_KA_PLUS_PROTON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + - {name: "COMPASS $K^-$", file: "COMPASS_KA_MINUS_DECORR.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} + - {name: "COMPASS $K^+$", file: "COMPASS_KA_PLUS_DECORR.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} + - {name: "COMPASS $K^-$ proton", file: "COMPASS_KA_MINUS_2024.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} + - {name: "COMPASS $K^+$ proton", file: "COMPASS_KA_PLUS_2024.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} + - {name: "BESIII $K^-$ 2 GeV", file: "BESIII_KA_MINUS_2p0000.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $K^-$ 2.2 GeV", file: "BESIII_KA_MINUS_2p0000.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $K^-$ 2.39 GeV", file: "BESIII_KA_MINUS_2p3960.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $K^-$ 2.64 GeV", file: "BESIII_KA_MINUS_2p6444.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $K^-$ 2.90 GeV", file: "BESIII_KA_MINUS_2p9000.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $K^-$ 3.05 GeV", file: "BESIII_KA_MINUS_3p0500.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $K^-$ 3.50 GeV", file: "BESIII_KA_MINUS_3p5000.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $K^-$ 3.67 GeV", file: "BESIII_KA_MINUS_3p6710.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $K^+$ 2 GeV", file: "BESIII_KA_PLUS_2p0000.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $K^+$ 2.2 GeV", file: "BESIII_KA_PLUS_2p0000.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $K^+$ 2.39 GeV", file: "BESIII_KA_PLUS_2p3960.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $K^+$ 2.64 GeV", file: "BESIII_KA_PLUS_2p6444.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $K^+$ 2.90 GeV", file: "BESIII_KA_PLUS_2p9000.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $K^+$ 3.05 GeV", file: "BESIII_KA_PLUS_3p0500.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $K^+$ 3.50 GeV", file: "BESIII_KA_PLUS_3p5000.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $K^+$ 3.67 GeV", file: "BESIII_KA_PLUS_3p6710.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BELLE $K^\\pm$", file: "BELLE_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BABAR conventional $K^\\pm$", file: "BABAR_KA_PLUS_MINUS_CONVENTIONAL.yaml", cuts: [{name: zcut, min: 0.2, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 12 GeV $K^\\pm$", file: "TASSO_12_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 14 GeV $K^\\pm$", file: "TASSO_14_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 22 GeV $K^\\pm$", file: "TASSO_22_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TPC $K^\\pm$", file: "TPC_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 30 GeV $K^\\pm$", file: "TASSO_30_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 34 GeV $K^\\pm$", file: "TASSO_34_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 44 GeV $K^\\pm$", file: "TASSO_44_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TOPAZ $K^\\pm$", file: "TOPAZ_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "ALEPH $K^\\pm$", file: "ALEPH_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "DELPHI total $K^\\pm$", file: "DELPHI_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "DELPHI $uds$ $K^\\pm$", file: "DELPHI_KA_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "DELPHI bottom $K^\\pm$", file: "DELPHI_KA_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "OPAL $K^\\pm$", file: "OPAL_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "SLD total $K^\\pm$", file: "SLD_KA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "SLD $uds$ $K^\\pm$", file: "SLD_KA_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "SLD bottom $K^\\pm$", file: "SLD_KA_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + # PIONS + - {name: "HERMES $\\pi^-$ deuteron", file: "HERMES_PI_MINUS_DEUTERON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + - {name: "HERMES $\\pi^-$ proton", file: "HERMES_PI_MINUS_PROTON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + - {name: "HERMES $\\pi^+$ deuteron", file: "HERMES_PI_PLUS_DEUTERON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + - {name: "HERMES $\\pi^+$ proton", file: "HERMES_PI_PLUS_PROTON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} + - {name: "COMPASS $\\pi^-$", file: "COMPASS_PI_MINUS_DECORR.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} + - {name: "COMPASS $\\pi^+$", file: "COMPASS_PI_PLUS_DECORR.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} + - {name: "COMPASS $\\pi^-$ proton", file: "COMPASS_PI_MINUS_2024.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} + - {name: "COMPASS $\\pi^+$ proton", file: "COMPASS_PI_PLUS_2024.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} + - {name: "BESIII $\\pi^-$ 2 GeV", file: "BESIII_PI_MINUS_2p0000.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $\\pi^-$ 2.2 GeV", file: "BESIII_PI_MINUS_2p0000.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $\\pi^-$ 2.39 GeV", file: "BESIII_PI_MINUS_2p3960.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $\\pi^-$ 2.64 GeV", file: "BESIII_PI_MINUS_2p6444.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $\\pi^-$ 2.90 GeV", file: "BESIII_PI_MINUS_2p9000.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $\\pi^-$ 3.05 GeV", file: "BESIII_PI_MINUS_3p0500.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $\\pi^-$ 3.50 GeV", file: "BESIII_PI_MINUS_3p5000.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $\\pi^-$ 3.67 GeV", file: "BESIII_PI_MINUS_3p6710.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $\\pi^+$ 2 GeV", file: "BESIII_PI_PLUS_2p0000.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $\\pi^+$ 2.2 GeV", file: "BESIII_PI_PLUS_2p0000.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $\\pi^+$ 2.39 GeV", file: "BESIII_PI_PLUS_2p3960.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $\\pi^+$ 2.64 GeV", file: "BESIII_PI_PLUS_2p6444.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $\\pi^+$ 2.90 GeV", file: "BESIII_PI_PLUS_2p9000.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $\\pi^+$ 3.05 GeV", file: "BESIII_PI_PLUS_3p0500.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $\\pi^+$ 3.50 GeV", file: "BESIII_PI_PLUS_3p5000.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BESIII $\\pi^+$ 3.67 GeV", file: "BESIII_PI_PLUS_3p6710.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BELLE $\\pi^\\pm$", file: "BELLE_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "BABAR prompt $\\pi^\\pm$", file: "BABAR_PI_PLUS_MINUS_PROMPT.yaml", cuts: [{name: zcut, min: 0.076, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 12 GeV $\\pi^\\pm$", file: "TASSO_12_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 14 GeV $\\pi^\\pm$", file: "TASSO_14_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 22 GeV $\\pi^\\pm$", file: "TASSO_22_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TPC $\\pi^\\pm$", file: "TPC_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 30 GeV $\\pi^\\pm$", file: "TASSO_30_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 34 GeV $\\pi^\\pm$", file: "TASSO_34_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 44 GeV $\\pi^\\pm$", file: "TASSO_44_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TOPAZ $\\pi^\\pm$", file: "TOPAZ_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "ALEPH $\\pi^\\pm$", file: "ALEPH_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "DELPHI total $\\pi^\\pm$", file: "DELPHI_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "DELPHI $uds$ $\\pi^\\pm$", file: "DELPHI_PI_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "DELPHI bottom $\\pi^\\pm$", file: "DELPHI_PI_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "OPAL $\\pi^\\pm$", file: "OPAL_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "SLD total $\\pi^\\pm$", file: "SLD_PI_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "SLD $uds$ $\\pi^\\pm$", file: "SLD_PI_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "SLD bottom $\\pi^\\pm$", file: "SLD_PI_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + # PROTONS + - {name: "BABAR prompt $p/\\overline{p}$", file: "BABAR_PR_PLUS_MINUS_PROMPT.yaml", cuts: [{name: zcut, min: 0.076, max: 0.9}], training fraction: 0.5} + - {name: "BELLE $p/\\overline{p}$", file: "BELLE_PR_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.076, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 12 GeV $p/\\overline{p}$", file: "TASSO_12_PR_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 14 GeV $p/\\overline{p}$", file: "TASSO_14_PR_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 22 GeV $p/\\overline{p}$", file: "TASSO_22_PR_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TPC $p/\\overline{p}$", file: "TPC_PR_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 30 GeV $p/\\overline{p}$", file: "TASSO_30_PR_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 34 GeV $p/\\overline{p}$", file: "TASSO_34_PR_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 44 GeV $p/\\overline{p}$", file: "TASSO_44_PR_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "ALEPH $p/\\overline{p}$", file: "ALEPH_PR_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "DELPHI total $p/\\overline{p}$", file: "DELPHI_PR_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "DELPHI $uds$ $p/\\overline{p}$", file: "DELPHI_PR_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "DELPHI bottom $p/\\overline{p}$", file: "DELPHI_PR_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "SLD total $p/\\overline{p}$", file: "SLD_PR_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "SLD $uds$ $p/\\overline{p}$", file: "SLD_PR_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "SLD charm $p/\\overline{p}$", file: "SLD_PR_PLUS_MINUS_C.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "SLD bottom $p/\\overline{p}$", file: "SLD_PR_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + # HADRONS + - {name: "COMPASS $h^-$", file: "COMPASS_HA_MINUS.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} + - {name: "COMPASS $h^+$", file: "COMPASS_HA_PLUS.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} + - {name: "COMPASS $h^-$ proton", file: "COMPASS_HA_MINUS_2024.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} + - {name: "COMPASS $h^+$ proton", file: "COMPASS_HA_PLUS_2024.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} + - {name: "TASSO 14 GeV $h^\\pm$", file: "TASSO_14_HA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 22 GeV $h^\\pm$", file: "TASSO_22_HA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TPC $h^\\pm$", file: "TPC_HA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 35 GeV $h^\\pm$", file: "TASSO_35_HA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "TASSO 44 GeV $h^\\pm$", file: "TASSO_44_HA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} + - {name: "ALEPH $h^\\pm$", file: "ALEPH_HA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "ALEPH L $h^\\pm$", file: "ALEPH_HA_L_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "DELPHI total $h^\\pm$", file: "DELPHI_HA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "DELPHI $uds$ $h^\\pm$", file: "DELPHI_HA_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "DELPHI bottom $h^\\pm$", file: "DELPHI_HA_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "DELPHI L $h^\\pm$", file: "DELPHI_HA_L_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "DELPHI L B $h^\\pm$", file: "DELPHI_HA_L_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "DELPHI L uds $h^\\pm$", file: "DELPHI_HA_L_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "OPAL total $h^\\pm$", file: "OPAL_HA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "OPAL $uds$ $h^\\pm$", file: "OPAL_HA_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "OPAL charm $h^\\pm$", file: "OPAL_HA_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "OPAL bottom $h^\\pm$", file: "OPAL_HA_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "OPAL L $h^\\pm$", file: "OPAL_HA_L_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "SLD total $h^\\pm$", file: "SLD_HA_PLUS_MINUS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "SLD $uds$ $h^\\pm$", file: "SLD_HA_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "SLD charm $h^\\pm$", file: "SLD_HA_PLUS_MINUS_UDS.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} + - {name: "SLD bottom $h^\\pm$", file: "SLD_HA_PLUS_MINUS_B.yaml", cuts: [{name: zcut, min: 0.02, max: 0.9}], training fraction: 0.5} diff --git a/config/config_global.yaml b/config/config_global.yaml index f4cb80342..a8ff2c337 100644 --- a/config/config_global.yaml +++ b/config/config_global.yaml @@ -51,7 +51,7 @@ NNAD: # Initialisation seed seed: 4 # Architecture - architecture: [1, 25, 23] + architecture: [1, 25, 24] # The output function can be either the activation function of the # NN (0), or linear (1), or quadratic (2). If this entry is absent a # linear function is assumed. @@ -87,7 +87,7 @@ NNAD: 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, # - u 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, # - s+ 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, # - c+ - 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0 + 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0 # - b+ #tb bb cb sb ub db g d u s c b t ], SetName: LHAPDFSet_PI} @@ -100,7 +100,7 @@ NNAD: # #tb bb cb sb ub db g d u s c b t # ], # SetName: LHAPDFSet_PR} -# - {hadron: H, +# - {hadron: HA, # map: [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, # - g # 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, # - u+, # 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, # - d++s+ @@ -129,8 +129,8 @@ Data: # - {name: "HERMES $K^-$ proton", file: "HERMES_KA_MINUS_PROTON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} # - {name: "HERMES $K^+$ deuteron", file: "HERMES_KA_PLUS_DEUTERON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} # - {name: "HERMES $K^+$ proton", file: "HERMES_KA_PLUS_PROTON.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}, {name: zcut, min: 0.2, max: 0.8}], training fraction: 0.5} -# - {name: "COMPASS $K^-$", file: "COMPASS_KA_MINUS_DECORR.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} -# - {name: "COMPASS $K^+$", file: "COMPASS_KA_PLUS_DECORR.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} +# - {name: "COMPASS $K^-$ deuteron", file: "COMPASS_KA_MINUS_DECORR.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} +# - {name: "COMPASS $K^+$ deuteron", file: "COMPASS_KA_PLUS_DECORR.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} # - {name: "COMPASS $K^-$ proton", file: "COMPASS_KA_MINUS_2024.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} # - {name: "COMPASS $K^+$ proton", file: "COMPASS_KA_PLUS_2024.yaml", cuts: [{name: Qcut, min: 2.0, max: 50}], training fraction: 0.5} # - {name: "BESIII $K^-$ 2 GeV", file: "BESIII_KA_MINUS_2p0000.yaml", cuts: [{name: zcut, min: 0.075, max: 0.9}], training fraction: 0.5} diff --git a/data/COMPASS_HA_MINUS_DECORR.yaml b/data/COMPASS_HA_MINUS_DECORR.yaml index b29ce9f63..24079b77c 100644 --- a/data/COMPASS_HA_MINUS_DECORR.yaml +++ b/data/COMPASS_HA_MINUS_DECORR.yaml @@ -10,7 +10,7 @@ dependent_variables: - {name: x, low: 0.004, high: 0.4, integrate: true} - {name: z, low: 0.2, high: 0.85, integrate: true} - {name: PS_reduction, W: 5, ymin: 0.1, ymax: 0.7} - - {name: hadron, value: KA} + - {name: hadron, value: HA} - {name: charge, value: -1} values: - errors: diff --git a/data/COMPASS_KA_MINUS_2024.yaml b/data/COMPASS_KA_MINUS_2024.yaml index 9d1df987d..c6b8d361b 100644 --- a/data/COMPASS_KA_MINUS_2024.yaml +++ b/data/COMPASS_KA_MINUS_2024.yaml @@ -925,10 +925,6 @@ dependent_variables: - {label: unc, value: 0.01123} - {label: add, value: 0.01907} value: 0.02433 - - errors: - - {label: unc, value: 0.00000} - - {label: add, value: 0.00000} - value: 1e-09 - errors: - {label: unc, value: 0.04716} - {label: add, value: 0.04588} @@ -945,10 +941,6 @@ dependent_variables: - {label: unc, value: 0.02375} - {label: add, value: 0.04735} value: 0.06826 - - errors: - - {label: unc, value: 0.00000} - - {label: add, value: 0.00000} - value: 1e-09 - errors: - {label: unc, value: 0.00515} - {label: add, value: 0.05119} @@ -1065,10 +1057,6 @@ dependent_variables: - {label: unc, value: 0.00937} - {label: add, value: 0.07254} value: 0.0193 - - errors: - - {label: unc, value: 0.00000} - - {label: add, value: 0.00000} - value: 1e-09 - errors: - {label: unc, value: 0.11987} - {label: add, value: 0.04371} @@ -1081,10 +1069,6 @@ dependent_variables: - {label: unc, value: 0.04838} - {label: add, value: 0.04960} value: 0.11241 - - errors: - - {label: unc, value: 0.00000} - - {label: add, value: 0.00000} - value: 1e-09 - errors: - {label: unc, value: 0.01197} - {label: add, value: 0.04178} @@ -1185,14 +1169,6 @@ dependent_variables: - {label: unc, value: 0.01412} - {label: add, value: 0.02247} value: 0.0235 - - errors: - - {label: unc, value: 0.00000} - - {label: add, value: 0.00000} - value: 1e-09 - - errors: - - {label: unc, value: 0.00000} - - {label: add, value: 0.00000} - value: 1e-09 - errors: - {label: unc, value: 0.10870} - {label: add, value: 0.06245} @@ -1201,10 +1177,6 @@ dependent_variables: - {label: unc, value: 0.07209} - {label: add, value: 0.09271} value: 0.11442 - - errors: - - {label: unc, value: 0.00000} - - {label: add, value: 0.00000} - value: 1e-09 independent_variables: - header: {name: "z"} values: @@ -1436,12 +1408,10 @@ independent_variables: - {high: 0.60000, low: 0.55000, value: 0.57500} - {high: 0.65000, low: 0.60000, value: 0.62500} - {high: 0.70000, low: 0.65000, value: 0.67500} - - {high: 0.75000, low: 0.70000, value: 0.72500} - {high: 0.25000, low: 0.20000, value: 0.22500} - {high: 0.30000, low: 0.25000, value: 0.27500} - {high: 0.35000, low: 0.30000, value: 0.32500} - {high: 0.40000, low: 0.35000, value: 0.37500} - - {high: 0.45000, low: 0.40000, value: 0.42500} - {high: 0.65000, low: 0.60000, value: 0.62500} - {high: 0.70000, low: 0.65000, value: 0.67500} - {high: 0.75000, low: 0.70000, value: 0.72500} @@ -1471,11 +1441,9 @@ independent_variables: - {high: 0.50000, low: 0.45000, value: 0.47500} - {high: 0.55000, low: 0.50000, value: 0.52500} - {high: 0.60000, low: 0.55000, value: 0.57500} - - {high: 0.65000, low: 0.60000, value: 0.62500} - {high: 0.25000, low: 0.20000, value: 0.22500} - {high: 0.30000, low: 0.25000, value: 0.27500} - {high: 0.35000, low: 0.30000, value: 0.32500} - - {high: 0.40000, low: 0.35000, value: 0.37500} - {high: 0.50000, low: 0.45000, value: 0.47500} - {high: 0.55000, low: 0.50000, value: 0.52500} - {high: 0.60000, low: 0.55000, value: 0.57500} @@ -1501,11 +1469,8 @@ independent_variables: - {high: 0.50000, low: 0.45000, value: 0.47500} - {high: 0.55000, low: 0.50000, value: 0.52500} - {high: 0.60000, low: 0.55000, value: 0.57500} - - {high: 0.65000, low: 0.60000, value: 0.62500} - - {high: 0.70000, low: 0.65000, value: 0.67500} - {high: 0.25000, low: 0.20000, value: 0.22500} - {high: 0.30000, low: 0.25000, value: 0.27500} - - {high: 0.35000, low: 0.30000, value: 0.32500} - header: {name: "x"} values: - {high: 0.01000, low: 0.00400, value: 0.00700} @@ -1740,10 +1705,6 @@ independent_variables: - {high: 0.14000, low: 0.10000, value: 0.12000} - {high: 0.14000, low: 0.10000, value: 0.12000} - {high: 0.14000, low: 0.10000, value: 0.12000} - - {high: 0.14000, low: 0.10000, value: 0.12000} - - {high: 0.14000, low: 0.10000, value: 0.12000} - - {high: 0.18000, low: 0.14000, value: 0.16000} - - {high: 0.18000, low: 0.14000, value: 0.16000} - {high: 0.18000, low: 0.14000, value: 0.16000} - {high: 0.18000, low: 0.14000, value: 0.16000} - {high: 0.18000, low: 0.14000, value: 0.16000} @@ -1803,9 +1764,6 @@ independent_variables: - {high: 0.40000, low: 0.18000, value: 0.29000} - {high: 0.40000, low: 0.18000, value: 0.29000} - {high: 0.40000, low: 0.18000, value: 0.29000} - - {high: 0.40000, low: 0.18000, value: 0.29000} - - {high: 0.40000, low: 0.18000, value: 0.29000} - - {high: 0.40000, low: 0.18000, value: 0.29000} - header: {name: "y"} values: - {high: 0.50000, low: 0.30000, value: 0.40000} @@ -2036,8 +1994,6 @@ independent_variables: - {high: 0.50000, low: 0.30000, value: 0.40000} - {high: 0.50000, low: 0.30000, value: 0.40000} - {high: 0.50000, low: 0.30000, value: 0.40000} - - {high: 0.50000, low: 0.30000, value: 0.40000} - - {high: 0.70000, low: 0.50000, value: 0.60000} - {high: 0.70000, low: 0.50000, value: 0.60000} - {high: 0.70000, low: 0.50000, value: 0.60000} - {high: 0.70000, low: 0.50000, value: 0.60000} @@ -2071,8 +2027,6 @@ independent_variables: - {high: 0.50000, low: 0.30000, value: 0.40000} - {high: 0.50000, low: 0.30000, value: 0.40000} - {high: 0.50000, low: 0.30000, value: 0.40000} - - {high: 0.50000, low: 0.30000, value: 0.40000} - - {high: 0.70000, low: 0.50000, value: 0.60000} - {high: 0.70000, low: 0.50000, value: 0.60000} - {high: 0.70000, low: 0.50000, value: 0.60000} - {high: 0.70000, low: 0.50000, value: 0.60000} @@ -2101,9 +2055,6 @@ independent_variables: - {high: 0.50000, low: 0.30000, value: 0.40000} - {high: 0.50000, low: 0.30000, value: 0.40000} - {high: 0.50000, low: 0.30000, value: 0.40000} - - {high: 0.50000, low: 0.30000, value: 0.40000} - - {high: 0.50000, low: 0.30000, value: 0.40000} - - {high: 0.70000, low: 0.50000, value: 0.60000} - {high: 0.70000, low: 0.50000, value: 0.60000} - {high: 0.70000, low: 0.50000, value: 0.60000} - header: {name: "Q2"} @@ -2336,8 +2287,6 @@ independent_variables: - {high: 14.43243, low: 14.43243, value: 14.43243} - {high: 14.43243, low: 14.43243, value: 14.43243} - {high: 14.43243, low: 14.43243, value: 14.43243} - - {high: 14.43243, low: 14.43243, value: 14.43243} - - {high: 21.64864, low: 21.64864, value: 21.64864} - {high: 21.64864, low: 21.64864, value: 21.64864} - {high: 21.64864, low: 21.64864, value: 21.64864} - {high: 21.64864, low: 21.64864, value: 21.64864} @@ -2371,8 +2320,6 @@ independent_variables: - {high: 19.24324, low: 19.24324, value: 19.24324} - {high: 19.24324, low: 19.24324, value: 19.24324} - {high: 19.24324, low: 19.24324, value: 19.24324} - - {high: 19.24324, low: 19.24324, value: 19.24324} - - {high: 28.86486, low: 28.86486, value: 28.86486} - {high: 28.86486, low: 28.86486, value: 28.86486} - {high: 28.86486, low: 28.86486, value: 28.86486} - {high: 28.86486, low: 28.86486, value: 28.86486} @@ -2401,8 +2348,5 @@ independent_variables: - {high: 34.87837, low: 34.87837, value: 34.87837} - {high: 34.87837, low: 34.87837, value: 34.87837} - {high: 34.87837, low: 34.87837, value: 34.87837} - - {high: 34.87837, low: 34.87837, value: 34.87837} - - {high: 34.87837, low: 34.87837, value: 34.87837} - - {high: 52.31755, low: 52.31755, value: 52.31755} - {high: 52.31755, low: 52.31755, value: 52.31755} - {high: 52.31755, low: 52.31755, value: 52.31755} diff --git a/data/OPAL_HA_PLUS_MINUS_B.yaml b/data/OPAL_HA_PLUS_MINUS_B.yaml new file mode 100644 index 000000000..785a9dc7d --- /dev/null +++ b/data/OPAL_HA_PLUS_MINUS_B.yaml @@ -0,0 +1,102 @@ +dependent_variables: +- header: {title: "OPAL $h^\\pm$ Multiplicity b-tag"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 91.2 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: HA} + - {name: charge, value: 0} + - {name: tagging, value: [b]} + values: + - errors: + - {label: unc, value: 8.06226} + value: 416.0 + - errors: + - {label: unc, value: 8.06226} + value: 447.0 + - errors: + - {label: unc, value: 7.07107} + value: 300.0 + - errors: + - {label: unc, value: 5.09902} + value: 215.0 + - errors: + - {label: unc, value: 4.14367} + value: 160.7 + - errors: + - {label: unc, value: 3.43657} + value: 126.1 + - errors: + - {label: unc, value: 2.72947} + value: 101.4 + - errors: + - {label: unc, value: 2.23607} + value: 81.9 + - errors: + - {label: unc, value: 1.94165} + value: 68.9 + - errors: + - {label: unc, value: 1.62788} + value: 57.1 + - errors: + - {label: unc, value: 1.31529} + value: 44.0 + - errors: + - {label: unc, value: 1.01980} + value: 30.9 + - errors: + - {label: unc, value: 0.80623} + value: 22.5 + - errors: + - {label: unc, value: 0.60828} + value: 16.8 + - errors: + - {label: unc, value: 0.50990} + value: 12.3 + - errors: + - {label: unc, value: 0.40311} + value: 7.82 + - errors: + - {label: unc, value: 0.29275} + value: 4.16 + - errors: + - {label: unc, value: 0.18111} + value: 1.84 + - errors: + - {label: unc, value: 0.10050} + value: 0.65 + - errors: + - {label: unc, value: 0.05235} + value: 0.21 + - errors: + - {label: unc, value: 0.02002} + value: 0.038 + - errors: + - {label: unc, value: 0.00354} + value: 0.004 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.01000, low: 0.00000, value: 0.00500, factor: 1.00000} + - {high: 0.02000, low: 0.01000, value: 0.01500, factor: 1.00000} + - {high: 0.03000, low: 0.02000, value: 0.02500, factor: 1.00000} + - {high: 0.04000, low: 0.03000, value: 0.03500, factor: 1.00000} + - {high: 0.05000, low: 0.04000, value: 0.04500, factor: 1.00000} + - {high: 0.06000, low: 0.05000, value: 0.05500, factor: 1.00000} + - {high: 0.07000, low: 0.06000, value: 0.06500, factor: 1.00000} + - {high: 0.08000, low: 0.07000, value: 0.07500, factor: 1.00000} + - {high: 0.09000, low: 0.08000, value: 0.08500, factor: 1.00000} + - {high: 0.10000, low: 0.09000, value: 0.09500, factor: 1.00000} + - {high: 0.12000, low: 0.10000, value: 0.11000, factor: 1.00000} + - {high: 0.14000, low: 0.12000, value: 0.13000, factor: 1.00000} + - {high: 0.16000, low: 0.14000, value: 0.15000, factor: 1.00000} + - {high: 0.18000, low: 0.16000, value: 0.17000, factor: 1.00000} + - {high: 0.20000, low: 0.18000, value: 0.19000, factor: 1.00000} + - {high: 0.25000, low: 0.20000, value: 0.22500, factor: 1.00000} + - {high: 0.30000, low: 0.25000, value: 0.27500, factor: 1.00000} + - {high: 0.40000, low: 0.30000, value: 0.35000, factor: 1.00000} + - {high: 0.50000, low: 0.40000, value: 0.45000, factor: 1.00000} + - {high: 0.60000, low: 0.50000, value: 0.55000, factor: 1.00000} + - {high: 0.80000, low: 0.60000, value: 0.70000, factor: 1.00000} + - {high: 1.00000, low: 0.80000, value: 0.90000, factor: 1.00000} diff --git a/data/OPAL_HA_PLUS_MINUS_C.yaml b/data/OPAL_HA_PLUS_MINUS_C.yaml new file mode 100644 index 000000000..faf318066 --- /dev/null +++ b/data/OPAL_HA_PLUS_MINUS_C.yaml @@ -0,0 +1,102 @@ +dependent_variables: +- header: {title: "OPAL $h^\\pm$ Multiplicity c-tag"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 91.2 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: HA} + - {name: charge, value: 0} + - {name: tagging, value: [c]} + values: + - errors: + - {label: unc, value: 26.17250} + value: 413.0 + - errors: + - {label: unc, value: 20.24846} + value: 381.0 + - errors: + - {label: unc, value: 15.26434} + value: 287.0 + - errors: + - {label: unc, value: 12.52996} + value: 178.0 + - errors: + - {label: unc, value: 11.18034} + value: 159.0 + - errors: + - {label: unc, value: 8.94427} + value: 116.0 + - errors: + - {label: unc, value: 7.61577} + value: 79.0 + - errors: + - {label: unc, value: 6.32456} + value: 61.0 + - errors: + - {label: unc, value: 6.32456} + value: 59.0 + - errors: + - {label: unc, value: 5.38516} + value: 53.0 + - errors: + - {label: unc, value: 3.53412} + value: 41.9 + - errors: + - {label: unc, value: 2.86356} + value: 27.6 + - errors: + - {label: unc, value: 2.60000} + value: 23.8 + - errors: + - {label: unc, value: 2.15407} + value: 17.6 + - errors: + - {label: unc, value: 2.02485} + value: 16.5 + - errors: + - {label: unc, value: 1.02956} + value: 9.8 + - errors: + - {label: unc, value: 0.76158} + value: 5.5 + - errors: + - {label: unc, value: 0.36359} + value: 2.49 + - errors: + - {label: unc, value: 0.32202} + value: 0.95 + - errors: + - {label: unc, value: 0.14866} + value: 0.36 + - errors: + - {label: unc, value: 0.04366} + value: 0.014 + - errors: + - {label: unc, value: 0.04754} + value: 0.003 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.01000, low: 0.00000, value: 0.00500, factor: 1.00000} + - {high: 0.02000, low: 0.01000, value: 0.01500, factor: 1.00000} + - {high: 0.03000, low: 0.02000, value: 0.02500, factor: 1.00000} + - {high: 0.04000, low: 0.03000, value: 0.03500, factor: 1.00000} + - {high: 0.05000, low: 0.04000, value: 0.04500, factor: 1.00000} + - {high: 0.06000, low: 0.05000, value: 0.05500, factor: 1.00000} + - {high: 0.07000, low: 0.06000, value: 0.06500, factor: 1.00000} + - {high: 0.08000, low: 0.07000, value: 0.07500, factor: 1.00000} + - {high: 0.09000, low: 0.08000, value: 0.08500, factor: 1.00000} + - {high: 0.10000, low: 0.09000, value: 0.09500, factor: 1.00000} + - {high: 0.12000, low: 0.10000, value: 0.11000, factor: 1.00000} + - {high: 0.14000, low: 0.12000, value: 0.13000, factor: 1.00000} + - {high: 0.16000, low: 0.14000, value: 0.15000, factor: 1.00000} + - {high: 0.18000, low: 0.16000, value: 0.17000, factor: 1.00000} + - {high: 0.20000, low: 0.18000, value: 0.19000, factor: 1.00000} + - {high: 0.25000, low: 0.20000, value: 0.22500, factor: 1.00000} + - {high: 0.30000, low: 0.25000, value: 0.27500, factor: 1.00000} + - {high: 0.40000, low: 0.30000, value: 0.35000, factor: 1.00000} + - {high: 0.50000, low: 0.40000, value: 0.45000, factor: 1.00000} + - {high: 0.60000, low: 0.50000, value: 0.55000, factor: 1.00000} + - {high: 0.80000, low: 0.60000, value: 0.70000, factor: 1.00000} + - {high: 1.00000, low: 0.80000, value: 0.90000, factor: 1.00000} diff --git a/data/OPAL_HA_PLUS_MINUS_UDS.yaml b/data/OPAL_HA_PLUS_MINUS_UDS.yaml new file mode 100644 index 000000000..342c568c4 --- /dev/null +++ b/data/OPAL_HA_PLUS_MINUS_UDS.yaml @@ -0,0 +1,102 @@ +dependent_variables: +- header: {title: "OPAL $h^\\pm$ Multiplicity uds-tag"} + qualifiers: + - {name: process, value: SIA} + - {name: Vs, value: 91.2 , units: GeV} + - {name: prefactor, value: 1} + - {name: z, low: 0.011 , high: 0.8 , integrate: false} + - {name: hadron, value: HA} + - {name: charge, value: 0} + - {name: tagging, value: [u,d,s]} + values: + - errors: + - {label: unc, value: 10.29563} + value: 388.0 + - errors: + - {label: unc, value: 11.18034} + value: 390.0 + - errors: + - {label: unc, value: 8.06226} + value: 241.0 + - errors: + - {label: unc, value: 5.83095} + value: 176.0 + - errors: + - {label: unc, value: 4.74342} + value: 122.6 + - errors: + - {label: unc, value: 3.64005} + value: 95.7 + - errors: + - {label: unc, value: 2.98329} + value: 79.3 + - errors: + - {label: unc, value: 2.33452} + value: 65.0 + - errors: + - {label: unc, value: 2.06155} + value: 53.3 + - errors: + - {label: unc, value: 1.80278} + value: 43.3 + - errors: + - {label: unc, value: 1.14018} + value: 35.1 + - errors: + - {label: unc, value: 0.80623} + value: 27.7 + - errors: + - {label: unc, value: 0.80623} + value: 21.2 + - errors: + - {label: unc, value: 0.67082} + value: 17.1 + - errors: + - {label: unc, value: 0.67082} + value: 13.3 + - errors: + - {label: unc, value: 0.39699} + value: 9.86 + - errors: + - {label: unc, value: 0.31401} + value: 6.3 + - errors: + - {label: unc, value: 0.19235} + value: 3.42 + - errors: + - {label: unc, value: 0.11180} + value: 1.5 + - errors: + - {label: unc, value: 0.05825} + value: 0.668 + - errors: + - {label: unc, value: 0.02530} + value: 0.241 + - errors: + - {label: unc, value: 0.00990} + value: 0.031 +independent_variables: +- header: {name: "z"} + values: + - {high: 0.01000, low: 0.00000, value: 0.00500, factor: 1.00000} + - {high: 0.02000, low: 0.01000, value: 0.01500, factor: 1.00000} + - {high: 0.03000, low: 0.02000, value: 0.02500, factor: 1.00000} + - {high: 0.04000, low: 0.03000, value: 0.03500, factor: 1.00000} + - {high: 0.05000, low: 0.04000, value: 0.04500, factor: 1.00000} + - {high: 0.06000, low: 0.05000, value: 0.05500, factor: 1.00000} + - {high: 0.07000, low: 0.06000, value: 0.06500, factor: 1.00000} + - {high: 0.08000, low: 0.07000, value: 0.07500, factor: 1.00000} + - {high: 0.09000, low: 0.08000, value: 0.08500, factor: 1.00000} + - {high: 0.10000, low: 0.09000, value: 0.09500, factor: 1.00000} + - {high: 0.12000, low: 0.10000, value: 0.11000, factor: 1.00000} + - {high: 0.14000, low: 0.12000, value: 0.13000, factor: 1.00000} + - {high: 0.16000, low: 0.14000, value: 0.15000, factor: 1.00000} + - {high: 0.18000, low: 0.16000, value: 0.17000, factor: 1.00000} + - {high: 0.20000, low: 0.18000, value: 0.19000, factor: 1.00000} + - {high: 0.25000, low: 0.20000, value: 0.22500, factor: 1.00000} + - {high: 0.30000, low: 0.25000, value: 0.27500, factor: 1.00000} + - {high: 0.40000, low: 0.30000, value: 0.35000, factor: 1.00000} + - {high: 0.50000, low: 0.40000, value: 0.45000, factor: 1.00000} + - {high: 0.60000, low: 0.50000, value: 0.55000, factor: 1.00000} + - {high: 0.80000, low: 0.60000, value: 0.70000, factor: 1.00000} + - {high: 1.00000, low: 0.80000, value: 0.90000, factor: 1.00000} diff --git a/data/rawdata/charged_hadrons/filter.py b/data/rawdata/charged_hadrons/filter.py index b9683f207..fdf504985 100644 --- a/data/rawdata/charged_hadrons/filter.py +++ b/data/rawdata/charged_hadrons/filter.py @@ -180,7 +180,7 @@ def filter_TASSO44_HA(): % (factor * data.iloc[i,2], factor * data.iloc[i,1], factor * data.iloc[i,0], factor), file=f) # TPC - inclusive -def filter_TPC_KA(): +def filter_TPC_HA(): nameexp = 'TPC_HA_PLUS_MINUS' infile = 'TPC/HEPData-ins262143-v1-Table_1.csv' ndata = 34 @@ -1093,7 +1093,7 @@ def filter_COMPASS_HA_MINUS(): print(' - {name: x, low: 0.004, high: 0.4, integrate: true}', file=f) print(' - {name: z, low: 0.2, high: 0.85, integrate: true}', file=f) print(' - {name: PS_reduction, W: 5, ymin: 0.1, ymax: 0.7}', file=f) - print(' - {name: hadron, value: KA}', file=f) + print(' - {name: hadron, value: HA}', file=f) print(' - {name: charge, value: -1}', file=f) print(' values:', file=f) @@ -1252,7 +1252,7 @@ def filter_COMPASS_HA_MINUS_2024(): # Filter data filter_TASSO14_HA() filter_TASSO22_HA() -filter_TPC_KA() +filter_TPC_HA() filter_TASSO35_HA() filter_TASSO44_HA() filter_ALEPH_HA() @@ -1264,6 +1264,9 @@ def filter_COMPASS_HA_MINUS_2024(): filter_DELPHI_HA_B() filter_DELPHI_HA_L_B() filter_OPAL_HA() +filter_OPAL_HA_UDS() +filter_OPAL_HA_C() +filter_OPAL_HA_B() filter_OPAL_HA_L() filter_SLD_HA() filter_SLD_HA_UDS() diff --git a/data/rawdata/kaon/filter.py b/data/rawdata/kaon/filter.py index 9a33c4fa3..706a174ce 100644 --- a/data/rawdata/kaon/filter.py +++ b/data/rawdata/kaon/filter.py @@ -1438,30 +1438,40 @@ def filter_COMPASS_KA_MINUS_2024(): print(' values:', file=f) for i in range(ndata): + if (data.iloc[i,9] < 1e-8): + continue print(' - errors:', file=f) print(' - {label: unc, value: %7.5f}' % (np.sqrt(data.iloc[i,10]**2+(0.6*data.iloc[i,11])**2)), file=f) print(' - {label: add, value: %7.5f}' % (0.8*data.iloc[i,11]/data.iloc[i,9]), file=f) print(' value: ', data.iloc[i,9], file=f) - + print('independent_variables:', file=f) print('- header: {name: "z"}', file=f) print(' values:', file=f) for i in range(ndata): + if (data.iloc[i,9] < 1e-8): + continue print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' % (data.iloc[i,5], data.iloc[i,4], ((data.iloc[i,5]+data.iloc[i,4])/2.)), file=f) print('- header: {name: "x"}', file=f) print(' values:', file=f) for i in range(ndata): + if (data.iloc[i,9] < 1e-8): + continue print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' % (data.iloc[i,1], data.iloc[i,0], ((data.iloc[i,1]+data.iloc[i,0])/2.)) , file=f) print('- header: {name: "y"}', file=f) print(' values:', file=f) for i in range(ndata): + if (data.iloc[i,9] < 1e-8): + continue print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' % (data.iloc[i,3], data.iloc[i,2], ((data.iloc[i,3]+data.iloc[i,2])/2.)) , file=f) print('- header: {name: "Q2"}', file=f) print(' values:', file=f) for i in range(ndata): + if (data.iloc[i,9] < 1e-8): + continue Q2av = (data.iloc[i,1]+data.iloc[i,0])/2.*(data.iloc[i,3]+data.iloc[i,2])/2.*cme**2. print(' - {high: %7.5f, low: %7.5f, value: %7.5f}' % (Q2av, Q2av, Q2av) , file=f)