DUNE/MaCh3_DUNE
Feb 2025 – Feb 2025
1 Month active
Languages Used
C++YAML
Technical Skills
Build SystemC++Code RefactoringConfiguration ManagementData AnalysisFull Stack Development
camille.sironneau
PROFILE
Camille.sironneau
During February 2025, Simon Rionneau developed a unified parameter variation workflow for the DUNE/MaCh3_DUNE repository, streamlining systematic 2D and 1D scans through YAML-driven configuration. He consolidated multiple variation applications into a single, maintainable tool, refactored histogram retrieval logic in C++ for clarity and correctness, and enhanced configuration management to support reproducible, data-driven analyses. Simon also introduced atmospheric binning data assets to enable new analysis capabilities and resolved a histogram casting bug that previously caused runtime errors. His work demonstrated depth in build systems, code refactoring, and performance optimization, resulting in a more robust and maintainable analysis framework.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
6Total
Bugs
1
Commits
6
Features
5
Lines of code
828
Activity Months1
Your Network
29 peopleShared Repositories
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Ben JargowskyMember
Daniel BarrowMember
Daniel BarrowMember
Hank HuaMember
Henry WallaceMember
Henry WallaceMember
Henry WallaceMember
Henry WallaceMember
Henry WallaceMember
Work History
February 2025
6 Commits • 5 Features
Feb 1, 2025February 2025 monthly performance summary for DUNE/MaCh3_DUNE: Implemented a streamlined Variations workflow enabling systematic 2D/1D parameter scans with YAML-driven configuration, consolidated multiple variation apps into a single, maintainable tool, and enhanced histogram handling and configuration to improve reliability, reproducibility, and data-driven analyses. Added atmospheric binning data assets to support atmospheric analyses and resolved a histogram casting bug that could cause runtime failures.
6 Commits • 5 Features
Feb 1, 2025February 2025 monthly performance summary for DUNE/MaCh3_DUNE: Implemented a streamlined Variations workflow enabling systematic 2D/1D parameter scans with YAML-driven configuration, consolidated multiple variation apps into a single, maintainable tool, and enhanced histogram handling and configuration to improve reliability, reproducibility, and data-driven analyses. Added atmospheric binning data assets to support atmospheric analyses and resolved a histogram casting bug that could cause runtime failures.
February 2025
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Quality Metrics
Correctness86.6%
Maintainability86.6%
Architecture83.4%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++YAML
Technical Skills
Build SystemC++Code RefactoringConfiguration ManagementData AnalysisFull Stack DevelopmentPerformance OptimizationSoftware DevelopmentSystematic Uncertainties
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