DUNE/duneana
Nov 2024 – Nov 2024
1 Month active
Languages Used
C++
Technical Skills
CMakeCode RefactoringData AnalysisHeader File ManagementSoftware DesignSoftware Engineering
Emile Lavaut
PROFILE
Emile Lavaut
During November 2024, Lavaut completed a major internal refactor of the CalibAna module in the DUNE/duneana repository, focusing on reorganizing output and modularizing code to improve clarity and maintainability. Working primarily in C++ with CMake for build management, Lavaut separated track and low-energy cluster data into distinct TTrees with descriptive naming and conditional branch creation, laying groundwork for future analysis enhancements. Cluster-related functionality was extracted into a dedicated header for improved readability and modularity. These changes streamlined the codebase, enhanced extensibility, and provided a more robust structure for ongoing data analysis and software engineering efforts.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
2,893
Activity Months1
Work History
November 2024
2 Commits • 1 Features
Nov 1, 2024Monthly summary for 2024-11 focused on DUNE/duneana. The month centered on a major internal refactor of CalibAna to reorganize output and modularize code, with emphasis on clarity, maintainability, and a solid foundation for future enhancements. Delivered modular cluster-related functionality and updates to the build system to reflect the new structure, enabling easier extension and analysis workflows.
2 Commits • 1 Features
Nov 1, 2024Monthly summary for 2024-11 focused on DUNE/duneana. The month centered on a major internal refactor of CalibAna to reorganize output and modularize code, with emphasis on clarity, maintainability, and a solid foundation for future enhancements. Delivered modular cluster-related functionality and updates to the build system to reflect the new structure, enabling easier extension and analysis workflows.
November 2024
Activity
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Quality Metrics
Correctness95.0%
Maintainability100.0%
Architecture95.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
CMakeCode RefactoringData AnalysisHeader File ManagementSoftware DesignSoftware Engineering
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