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
During June 2025, 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 studies and clear signal versus background comparisons, consolidating analysis and visualization processes into a single toolkit. Using Python, along with libraries such as Matplotlib, Pandas, and Seaborn, Lucas implemented features to simulate systematic biases and visualize their effects on data. He enhanced the readability of signal and background plots, supporting more effective data-driven decision making. The work demonstrated depth in integrating data analysis, visualization, and physics simulation within a cohesive engineering solution.
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 people
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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