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
Worked on the DUNE/MaCh3_DUNE repository to streamline systematic parameter variation workflows for data analysis. Developed a unified application that automates 1D and 2D parameter scans using YAML-driven configuration, consolidating previously separate tools into a single, maintainable codebase. Refactored core C++ logic to improve histogram handling, ensuring correct selection and retrieval based on sample dimensions, and enhanced configuration management for reproducibility and clarity. Added atmospheric binning data assets to support new analysis modes and resolved a histogram casting bug to prevent runtime errors. The work emphasized build system improvements, code refactoring, and robust handling of systematic uncertainties in scientific software.
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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