blackSwanCS/Higgs_collaboration_B
Jun 2025 – Jun 2025
1 Month active
Languages Used
Python
Technical Skills
Data AnalysisData VisualizationMachine LearningMatplotlibNumPyPandas
Lucas Desgranges
PROFILE
Lucas Desgranges
Lucas Desgranges developed a unified visualization and analysis toolkit for the blackSwanCS/Higgs_collaboration_B repository, targeting physics data workflows. He focused on enabling robust bias simulation and clear signal versus background comparisons, addressing the need for transparent and interpretable data analysis in physics research. Using Python along with libraries such as Matplotlib, NumPy, and Pandas, Lucas consolidated visualization and analysis processes, improving the readability of plots and facilitating bias assessment. His work allowed researchers to better observe systematic influences within datasets, supporting more data-driven decision making. The project demonstrated depth in integrating data analysis and visualization for specialized scientific applications.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
171
Activity Months1
Your Network
41 peopleShared Repositories
21
Work History
June 2025
3 Commits • 1 Features
Jun 1, 2025June 2025 performance summary for blackSwanCS/Higgs_collaboration_B: Delivered a unified Visualization and Analysis Toolkit for physics data, focusing on bias studies and clear signal/background comparisons, with significant improvements in plot readability. This work enhances data-driven decision making and accelerates physics analysis by consolidating visualization/analysis workflows and enabling robust bias assessment.
3 Commits • 1 Features
Jun 1, 2025June 2025 performance summary for blackSwanCS/Higgs_collaboration_B: Delivered a unified Visualization and Analysis Toolkit for physics data, focusing on bias studies and clear signal/background comparisons, with significant improvements in plot readability. This work enhances data-driven decision making and accelerates physics analysis by consolidating visualization/analysis workflows and enabling robust bias assessment.
June 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture73.4%
Performance66.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Data AnalysisData VisualizationMachine LearningMatplotlibNumPyPandasPhysics SimulationSeaborn
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