u

Author: HDembinski

.gitignore

@@ -24,4 +24,4 @@ uv.lock
 site_libs
 posts/*.ipynb
 posts/*.md
-posts/*.html
+posts/*.html

.pre-commit-config.yaml

@@ -13,28 +13,43 @@
 # See https://github.com/pre-commit/pre-commit
 
 repos:
-# Standard hooks
-- repo: https://github.com/pre-commit/pre-commit-hooks
-  rev: v4.5.0
-  hooks:
-  - id: check-case-conflict
-  - id: check-docstring-first
-  - id: check-executables-have-shebangs
-  - id: check-merge-conflict
-  - id: check-symlinks
-  - id: check-yaml
-    args: ["--allow-multiple-documents"]
-  - id: debug-statements
-  - id: end-of-file-fixer
-  - id: mixed-line-ending
-  - id: sort-simple-yaml
-  - id: file-contents-sorter
-  - id: trailing-whitespace
-    exclude: .*\.svg
+  # Standard hooks
+  - repo: https://github.com/pre-commit/pre-commit-hooks
+    rev: v4.5.0
+    hooks:
+      - id: check-case-conflict
+      - id: check-docstring-first
+      - id: check-executables-have-shebangs
+      - id: check-merge-conflict
+      - id: check-symlinks
+      - id: check-yaml
+        args: ["--allow-multiple-documents"]
+      - id: debug-statements
+      - id: end-of-file-fixer
+      - id: mixed-line-ending
+      - id: sort-simple-yaml
+      - id: file-contents-sorter
+      - id: trailing-whitespace
+        exclude: .*\.svg
 
-# Ruff linter, replacement for flake8, pydocstyle, isort
-- repo: https://github.com/astral-sh/ruff-pre-commit
-  rev: 'v0.2.0'
-  hooks:
-    - id: ruff
-      args: [--fix, --show-fixes]
+  # Ruff linter, replacement for flake8, pydocstyle, isort
+  - repo: https://github.com/astral-sh/ruff-pre-commit
+    rev: "v0.2.0"
+    hooks:
+      - id: ruff
+        args: [--fix, --show-fixes]
+
+  # Check that tag_db has an entry for newly added blog posts
+  - repo: local
+    hooks:
+      - id: add-tag
+        name: add tags for new posts
+        entry: python add_tags.py
+        language: python
+        pass_filenames: false
+        files: ^.*\.ipynb$
+        additional_dependencies:
+          - pydantic
+          - pydantic-ai-slim[openai]
+          - nbformat
+          - rich

lectures.qmd

@@ -4,4 +4,4 @@ listing:
   contents: lectures
   type: default
 page-layout: full
----
+---

tag_db.json

@@ -1,8 +1,7 @@
 {
   "all_KK_decays.ipynb": [
     "physics",
-    "programming",
-    "visualization"
+    "programming"
   ],
   "asymmetric errors.ipynb": [
     "physics",
@@ -15,42 +14,34 @@
     "programming"
   ],
   "chance_of_deviations_in_random_splits.ipynb": [
-    "data analysis",
     "programming",
     "simulation",
     "statistics"
   ],
   "comparison_chisquare_test_statistics.ipynb": [
     "simulation",
     "statistics",
-    "symbolic computation",
-    "visualization"
+    "symbolic computation"
   ],
   "Correlation.ipynb": [
-    "data analysis",
-    "high performance computing",
     "physics",
-    "programming",
     "simulation",
-    "visualization"
+    "statistics"
   ],
   "cows.ipynb": [
     "programming",
     "sWeights",
-    "statistics",
-    "visualization"
+    "statistics"
   ],
   "cross_section_extrapolation_error.ipynb": [
-    "data analysis",
     "physics",
     "statistics",
-    "uncertainty analysis",
-    "visualization"
+    "uncertainty analysis"
   ],
   "cross_section_pip_vs_pp.ipynb": [
     "data analysis",
     "physics",
-    "visualization"
+    "statistics"
   ],
   "duffing.ipynb": [
     "physics",
@@ -74,52 +65,55 @@
     "programming"
   ],
   "factorization_test.ipynb": [
-    "data analysis",
-    "programming",
     "sWeights",
-    "statistics",
-    "visualization"
+    "simulation",
+    "statistics"
   ],
   "fast_deep_set.ipynb": [
     "high performance computing",
     "machine learning",
     "neural networks",
     "physics",
-    "programming"
+    "programming",
+    "simulation",
+    "statistics"
   ],
   "Fit weighted histograms with SPD method.ipynb": [
-    "data analysis",
     "physics",
-    "programming",
-    "science",
-    "statistics",
-    "visualization"
+    "simulation",
+    "statistics"
   ],
   "From fixed target to sqrt_s_nn and back.ipynb": [
     "physics",
     "symbolic computation"
   ],
   "gof_test_statistic.ipynb": [
     "data analysis",
-    "science",
+    "physics",
     "simulation",
     "statistics"
   ],
   "HESSE_vs_MINOS_TwoGauss.ipynb": [
-    "data analysis",
+    "programming",
     "simulation",
     "statistics",
-    "uncertainty analysis",
-    "visualization"
+    "uncertainty analysis"
   ],
   "hyperon_feed_down.ipynb": [
     "data analysis",
     "physics",
+    "simulation",
+    "statistics"
+  ],
+  "iminuit_update.ipynb": [
+    "high performance computing",
+    "physics",
     "programming",
-    "visualization"
+    "statistics"
   ],
   "Interactive plotting in Jupyter with matplotlib.ipynb": [
     "programming",
+    "statistics",
     "visualization"
   ],
   "invariant mass combinatorial background.ipynb": [
@@ -130,6 +124,8 @@
   ],
   "Leave-one-out cross-validation.ipynb": [
     "data analysis",
+    "programming",
+    "simulation",
     "statistics"
   ],
   "llama_index_rag.ipynb": [
@@ -149,40 +145,35 @@
   ],
   "look_elsewhere_effect.ipynb": [
     "bootstrap",
-    "data analysis",
     "physics",
-    "programming",
     "simulation",
     "statistics",
-    "uncertainty analysis",
-    "visualization"
+    "uncertainty analysis"
   ],
   "MCMC.ipynb": [
     "programming",
     "simulation",
-    "statistics",
-    "visualization"
+    "statistics"
   ],
   "naive_calibration_bias.ipynb": [
-    "data analysis",
     "physics",
-    "programming",
     "simulation",
-    "statistics"
+    "statistics",
+    "uncertainty analysis"
   ],
   "New iminuit displays.ipynb": [
-    "programming"
+    "programming",
+    "visualization"
   ],
   "Numerically stable calculation of invariant mass.ipynb": [
     "high performance computing",
     "physics",
     "programming"
   ],
   "p-value conversion.ipynb": [
-    "data analysis",
-    "science",
-    "statistics",
-    "visualization"
+    "physics",
+    "simulation",
+    "statistics"
   ],
   "parse_latex.ipynb": [
     "parsing",
@@ -206,14 +197,14 @@
     "visualization"
   ],
   "ratio bias.ipynb": [
-    "data analysis",
-    "statistics",
-    "visualization"
+    "programming",
+    "statistics"
   ],
   "regression.ipynb": [
     "machine learning",
     "neural networks",
-    "programming"
+    "programming",
+    "statistics"
   ],
   "render_latex_to_svg.ipynb": [
     "programming",
@@ -222,21 +213,18 @@
   "resample and numba.ipynb": [
     "high performance computing",
     "programming",
-    "statistics",
-    "visualization"
+    "statistics"
   ],
   "RooFit.ipynb": [
     "physics",
     "programming",
-    "simulation",
     "statistics"
   ],
   "Simple parallelization in Jupyter Notebooks.ipynb": [
     "high performance computing",
     "programming"
   ],
   "Sleep mode power consumption.ipynb": [
-    "data analysis",
     "environment"
   ],
   "SPD with negative weights.ipynb": [
@@ -252,41 +240,36 @@
   ],
   "template_with_distortion.ipynb": [
     "bootstrap",
-    "programming",
+    "physics",
     "simulation",
     "statistics",
-    "uncertainty analysis",
-    "visualization"
+    "uncertainty analysis"
   ],
   "tracking_efficiency.ipynb": [
+    "data analysis",
     "physics",
-    "programming",
     "statistics",
     "uncertainty analysis"
   ],
   "UnbiasedEML.ipynb": [
-    "science",
-    "simulation",
+    "physics",
     "statistics",
     "symbolic computation"
   ],
   "Uncertainty of efficiency computed from fitted yields.ipynb": [
-    "data analysis",
+    "physics",
+    "programming",
     "simulation",
     "statistics",
     "symbolic computation",
-    "uncertainty analysis",
-    "visualization"
+    "uncertainty analysis"
   ],
   "visual_cross_section.ipynb": [
     "physics",
-    "programming",
     "simulation"
   ],
   "Wilson Score Interval with Weighted Histograms.ipynb": [
-    "bootstrap",
-    "data analysis",
-    "simulation",
+    "programming",
     "statistics"
   ]
-}
+}

talks.qmd

@@ -11,4 +11,4 @@ A talk in German for the interested public that I gave about my scientific work:
 
 ## [2024 May: On the origin of life on Earth](https://media.githubusercontent.com/media/HDembinski/HDembinski.github.io/main/talks/2024_05_life_on_earth.pdf)
 
-I prepared this talk as part of my habilitation duties. It is about the puzzle around the origin of life on Earth: how could it evolve so quickly out of non-living matter? Many people expressed how much they liked the talk and topic, so I am sharing it here.
+I prepared this talk as part of my habilitation duties. It is about the puzzle around the origin of life on Earth: how could it evolve so quickly out of non-living matter? Many people expressed how much they liked the talk and topic, so I am sharing it here.