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kappa_xspec.py
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298 lines (269 loc) · 9.62 KB
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import kappa
import numpy
import xspec
import pyatomdb
# These are globals to hold the model data
kappamodelobject = kappa.KappaSession(
elements=[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12,
13, 14, 15, 16, 17, 18, 19, 20, 21, 22,
23, 24, 25, 26, 28])
kappavmodelobject = False
kappavvmodelobject = False
kappamodelobject.abund_xspectoatomdb = {}
kappamodelobject.abund_xspectoatomdb['angr'] = 'AG89'
kappamodelobject.abund_xspectoatomdb['aspl'] = 'Asplund09'
kappamodelobject.abund_xspectoatomdb['feld'] = 'Feldman'
kappamodelobject.abund_xspectoatomdb['aneb'] = 'AE82'
kappamodelobject.abund_xspectoatomdb['grsa'] = 'GS98'
kappamodelobject.abund_xspectoatomdb['wilm'] = 'Wilm00'
kappamodelobject.abund_xspectoatomdb['lodd'] = 'Lodd03'
pykappaInfo = ("kT \"keV\" 1.0 0.00862 0.00862 86. 86. 0.01",
"kappa \"\" 3.0 2.0 2.0 100. 1000. 0.01",
"abund \"\" 1.0 0.0 0.0 10.0 10.0 0.01")
pyvkappaInfo = ("kT \"keV\" 1.0 0.00862 0.00862 86. 86. 0.01",
"kappa \"\" 3.0 2.0 2.0 100. 1000. 0.01",
"H \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"He \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"C \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"N \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"O \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"F \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"Ne \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"Mg \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"Al \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"Si \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"S \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"Ar \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"Ca \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"Fe \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"Ni \"\" 1.0 0.0 0.0 10.0 10.0 -0.01")
pyvvkappaInfo = ("kT \"keV\" 1.0 0.00862 0.00862 86. 86. 0.01",
"kappa \"\" 3.0 2.0 2.0 100. 1000. 0.01",
"H \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"He \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"Li \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"Be \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"B \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"C \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"N \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"O \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"F \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"Ne \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"Na \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"Mg \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"Al \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"Si \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"P \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"S \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"Cl \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"Ar \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"K \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"Ca \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"Sc \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"Ti \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"V \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"Cr \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"Mn \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"Fe \"\" 1.0 0.0 0.0 10.0 10.0 -0.01",
"Ni \"\" 1.0 0.0 0.0 10.0 10.0 -0.01")
def pykappa(engs, params, flux):
"""
Kaapa model for data
PARAMETERS
----------
engs : list[float]
The energy bin edges (from xspec)
params : list[float]
The parameter list. See kappaInfo for definition
flux : list[float]
The array to fill with return values
RETURNS
-------
None
Fills out the flux array with photon cm3 s-1 bin-1 x 1e14
USAGE
-----
# load the model into XSPEC
xspec.AllModels.addPyMod(kappa, kappaInfo, 'add')
# make a model
m = xspec.Model('kappa')
"""
# This is the call that will return everything. So set everything!
ebins = numpy.array(engs)
kappamodelobject.set_response(ebins, raw=True)
# kappa model has the 14 main elements
elarray = kappamodelobject.elements
abund = numpy.zeros(len(elarray))
if len(params)==4:
# kappa case
elarray=[2,6,7,8,10,12,13,14,16,18,20,26,28]
abund = float(params[2])
elif len(params)==18:
# vkappa case
elarray=[1,2,6,7,8,9,10,12,13,14,16,18,20,26,28]
abund = numpy.array(params[2:17])
elif len(params)==30:
# vvkappa case
elarray=[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,\
20,21,22,23,24,25,26,28]
abund = numpy.array(params[2:29])
T = float(params[0])
k = float(params[1])
# correct abundance set if required
if kappamodelobject.abund_xspectoatomdb[xspec.Xset.abund] != \
kappamodelobject.abundset:
kappamodelobject.set_abundset(kappamodelobject.abund_xspectoatomdb[
xspec.Xset.abund])
# set the abundance
kappamodelobject.set_abund(elarray, abund)
spec = kappamodelobject.return_spectrum(T, k)
flux[:] = spec*1e14
def pyvkappa(engs, params, flux):
pykappa(engs,params,flux)
def pyvvkappa(engs, params, flux):
pykappa(engs,params,flux)
#def pyvkappa(engs, params, flux):
#
# """
# Kaapa model for data
#
# PARAMETERS
# ----------
# engs : list[float]
# The energy bin edges (from xspec)
# params : list[float]
# The parameter list. See vkappaInfo for definition
# flux : list[float]
# The array to fill with return values
#
# RETURNS
# -------
# None
# Fills out the flux array with photon cm3 s-1 bin-1 x 1e14
#
# USAGE
# -----
# # load the model into XSPEC
# xspec.AllModels.addPyMod(vkappa, vkappaInfo, 'add')
# # make a model
# m = xspec.Model('vkappa')
# """
#
# # This is the call that will return everything. So set everything!
# ebins = numpy.array(engs)
# kappamodelobject.set_response(ebins, raw=True)
#
# # kappa model has the 14 main elements
## kappamodelobject.elements = [1,2,6,7,8,10,12,13,14,16,18,20,26,28]
#
# abundset = xspec.Xset.abund
#
# T = params[0]
# k = params[1]
#
# # correct abundance set if required
# if kappamodelobject.abund_xspectoatomdb[xspec.Xset.abund] != \
# kappamodelobject.abundset:
# kappamodelobject.set_abundset(kappamodelobject.abund_xspectoatomdb[
# xspec.Xset.abund])
#
# # set the abundance
# elarray = kappamodelobject.elements
# abund = numpy.zeros(len(elarray))
# abund[numpy.array([1, 2, 6, 7, 8, 10, 12, 13, 14, 16, 18,
# 20, 26, 27])-1] = params[2:16]
# kappamodelobject.set_abund(elarray, abund)
#
# spec = kappamodelobject.return_spectrum(T, k)
#
# flux[:] = spec*1e14
#
#
#def vvkappa(engs, params, flux):
#
# """
# Kaapa model for data
#
# PARAMETERS
# ----------
# engs : list[float]
# The energy bin edges (from xspec)
# params : list[float]
# The parameter list. See vvkappaInfo for definition
# flux : list[float]
# The array to fill with return values
#
# RETURNS
# -------
# None
# Fills out the flux array with photon cm3 s-1 bin-1 x 1e14
#
# USAGE
# -----
# # load the model into XSPEC
# xspec.AllModels.addPyMod(vvkappa, vvkappaInfo, 'add')
# # make a model
# m = xspec.Model('vvkappa')
# """
#
# # This is the call that will return everything. So set everything!
# ebins = numpy.array(engs)
# kappamodelobject.set_response(ebins, raw=True)
#
# # kappa model has the 14 main elements
# Zlist = list(range(1, 27))
# Zlist.append(28)
# kappamodelobject.elements = Zlist
#
# abundset = xspec.Xset.abund
#
# T = params[0]
# k = params[1]
# abund = {}
# abund[1] = params[2]
# abund[2] = params[3]
# abund[3] = params[4]
# abund[4] = params[5]
# abund[5] = params[6]
# abund[6] = params[7]
# abund[7] = params[8]
# abund[8] = params[9]
# abund[9] = params[10]
# abund[10] = params[11]
# abund[11] = params[12]
# abund[12] = params[13]
# abund[13] = params[14]
# abund[14] = params[15]
# abund[15] = params[16]
# abund[16] = params[17]
# abund[17] = params[18]
# abund[18] = params[19]
# abund[19] = params[20]
# abund[20] = params[21]
# abund[21] = params[22]
# abund[22] = params[23]
# abund[23] = params[24]
# abund[24] = params[25]
# abund[25] = params[26]
# abund[26] = params[27]
# abund[28] = params[28]
#
# # correct abundance set if required
# if kappamodelobject.abund_xspectoatomdb[xspec.Xset.abund] != \
# kappamodelobject.abundset:
# kappamodelobject.set_abundset(kappamodelobject.abund_xspectoatomdb[
# xspec.Xset.abund])
#
# # set the abundance
# elarray = kappamodelobject.elements
# kappamodelobject.set_abund(elarray, params[2:29])
#
# spec = kappamodelobject.return_spectrum(T, k)
#
# flux[:] = spec*1e14
#
xspec.AllModels.addPyMod(pykappa, pykappaInfo, 'add')
xspec.AllModels.addPyMod(pyvkappa, pyvkappaInfo, 'add')
xspec.AllModels.addPyMod(pyvvkappa, pyvvkappaInfo, 'add')
print("")
print("Models kappa, vkappa, and vvkappa ready for use")