blackSwanCS/Higgs_collaboration_B
Jun 2025 – Jun 2025
1 Month active
Languages Used
BinaryPython
Technical Skills
Code RefactoringData AnalysisData ProcessingData ScienceData VisualizationDocumentation
Grégoire Delignon
PROFILE
Grégoire Delignon
Contributed to the Higgs_collaboration_B repository by delivering AMS-driven threshold decision capabilities, integrating API calls for statistical analysis, and enhancing data visualization with likelihood plots and quantile reporting. Focused on optimizing AMS threshold selection through systematic threshold traversal and initial plotting, while also improving code maintainability via refactoring and documentation updates. Addressed stability by fixing syntax errors, parameter range handling in Minuit, and NaN issues, ensuring reliable merges and streamlined workflows. Utilized Python and scientific computing libraries to support data analysis, statistical modeling, and machine learning tasks, resulting in a cleaner, more robust codebase aligned with the latest systematic analysis requirements.
Overall Statistics
Feature vs Bugs
60%Features
Repository Contributions
26Total
Bugs
6
Commits
26
Features
9
Lines of code
1,647
Activity Months1
Your Network
41 peopleShared Repositories
21
Work History
June 2025
26 Commits • 9 Features
Jun 1, 2025June 2025 – Higgs_collaboration_B: Delivered key AMS-driven threshold decision capabilities, enhanced visualization, API integration for streamlined statistical analysis, and improved likelihood reporting, while stabilizing and cleansing the codebase for maintainability and alignment with the latest systematic analysis. Highlights included end-to-end delivery of AMS Threshold Optimization with best-threshold selection and initial plotting, added AMS vs threshold plotting, incorporation of Task 1b API integration into statistical_analysis, and enhanced likelihood visuals with mu estimates and 16/84 quantiles. The period also included targeted tests, documentation clarifications, and a set of stability and quality improvements to reduce churn and support merges.
26 Commits • 9 Features
Jun 1, 2025June 2025 – Higgs_collaboration_B: Delivered key AMS-driven threshold decision capabilities, enhanced visualization, API integration for streamlined statistical analysis, and improved likelihood reporting, while stabilizing and cleansing the codebase for maintainability and alignment with the latest systematic analysis. Highlights included end-to-end delivery of AMS Threshold Optimization with best-threshold selection and initial plotting, added AMS vs threshold plotting, incorporation of Task 1b API integration into statistical_analysis, and enhanced likelihood visuals with mu estimates and 16/84 quantiles. The period also included targeted tests, documentation clarifications, and a set of stability and quality improvements to reduce churn and support merges.
June 2025
Activity
Loading activity data...
Quality Metrics
Correctness82.2%
Maintainability83.0%
Architecture77.0%
Performance70.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
BinaryPython
Technical Skills
Code RefactoringData AnalysisData ProcessingData ScienceData VisualizationDocumentationMachine LearningNumerical AnalysisOptimizationPlottingPythonScientific ComputingStatistical AnalysisStatistical Modeling
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline