blackSwanCS/Higgs_collaboration_B
Jun 2025 – Jun 2025
1 Month active
Languages Used
Git IgnoreJupyter NotebookNumPyPython
Technical Skills
Code CleanupCode RefactoringData AnalysisData AugmentationData SplittingData Visualization
Bourret Lucas
PROFILE
Bourret Lucas
Lucas Bourret overhauled the systematic uncertainty analysis for the blackSwanCS/Higgs_collaboration_B repository, focusing on TES and JES components. He refactored core Python modules, aligning tes_fitter and jes_fitter for maintainability and unified analysis. Using Jupyter Notebook and NumPy, Lucas expanded signal and background histograms, introduced new binning strategies, and integrated chi-squared displays to enhance uncertainty visualization. He automated plot generation with a get_plots feature, improving review efficiency and reproducibility. Lucas also improved documentation for the JES fitter, clarified analysis steps, and strengthened repository hygiene by updating .gitignore and removing binary artifacts, resulting in a cleaner, more reliable development environment.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
14Total
Bugs
0
Commits
14
Features
3
Lines of code
1,370
Activity Months1
Your Network
41 people
Work History
June 2025
14 Commits • 3 Features
Jun 1, 2025June 2025 accomplishments for blackSwanCS/Higgs_collaboration_B: Delivered a robust overhaul of the TES/JES systematic uncertainty analysis, including refactoring of tes_fitter, expanded histograms for signal/background, new TES/JES plots across ranges, updated binning (bins=25), and integrated chi-squared displays to improve uncertainty visualization. Implemented a unified fitter approach with jes_fitter, improved plotting defaults (larger fonts) and code readability, and added an optional get_plots feature to generate up to 40 plots when enabled. JES fitter documentation improvements were completed, and repository hygiene was strengthened with updated .gitignore, removal of binary artifacts, and ignoring of pkl files to prevent accidental commits. These changes increase result reliability, enhance visualization for reviews, and reduce maintenance, enabling faster iteration and reproducibility.
14 Commits • 3 Features
Jun 1, 2025June 2025 accomplishments for blackSwanCS/Higgs_collaboration_B: Delivered a robust overhaul of the TES/JES systematic uncertainty analysis, including refactoring of tes_fitter, expanded histograms for signal/background, new TES/JES plots across ranges, updated binning (bins=25), and integrated chi-squared displays to improve uncertainty visualization. Implemented a unified fitter approach with jes_fitter, improved plotting defaults (larger fonts) and code readability, and added an optional get_plots feature to generate up to 40 plots when enabled. JES fitter documentation improvements were completed, and repository hygiene was strengthened with updated .gitignore, removal of binary artifacts, and ignoring of pkl files to prevent accidental commits. These changes increase result reliability, enhance visualization for reviews, and reduce maintenance, enabling faster iteration and reproducibility.
June 2025
Activity
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Quality Metrics
Correctness85.8%
Maintainability85.8%
Architecture75.8%
Performance78.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
Git IgnoreJupyter NotebookNumPyPython
Technical Skills
Code CleanupCode RefactoringData AnalysisData AugmentationData SplittingData VisualizationDocumentationEnvironment ConfigurationFile ManagementGitMachine LearningPlottingPythonPython ScriptingReadability Improvement
Repositories Contributed To
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