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
Grégoire Delignon developed advanced AMS-driven threshold decision capabilities for the blackSwanCS/Higgs_collaboration_B repository, focusing on statistical analysis and visualization in Python. He implemented threshold optimization routines to maximize AMS, integrated API calls for streamlined data processing, and enhanced likelihood reporting with quantile estimation. His work included robust plotting features, improved code maintainability through refactoring, and targeted bug fixes addressing parameter handling and NaN stability in Minuit. By updating the codebase to align with the latest systematic analysis and clarifying documentation, Grégoire ensured the repository’s reliability and clarity, demonstrating depth in data science, scientific computing, and statistical modeling within a short timeframe.
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 people
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