JeffersonLab/halld_recon
Mar 2025 – Apr 2025
2 Months active
Languages Used
C++ROOTCC/C++Python
Technical Skills
C++C++ DevelopmentCode RefactoringData AnalysisData ReconstructionData Structures
lkasper16
PROFILE
Lkasper16
Lauren Kasper enhanced the JeffersonLab/halld_recon repository by developing and refining TRD reconstruction, monitoring, and data analysis features over two months. She implemented new hit processing algorithms and enriched data models to improve TRD point accuracy and charge-based selection, using C++ and ROOT scripting for robust data handling and visualization. Her work included frequency-based hit cleaning, advanced histogramming, and cross-detector correlation analysis, which improved electron versus hadron discrimination and overall data quality. Through careful code refactoring, calibration updates, and maintainability improvements, Lauren ensured the software was reliable and ready for master integration, demonstrating depth in physics software development and analysis.
Overall Statistics
Feature vs Bugs
86%Features
Repository Contributions
25Total
Bugs
1
Commits
25
Features
6
Lines of code
4,273
Activity Months2
Your Network
42 people
Work History
April 2025
17 Commits • 5 Features
Apr 1, 2025April 2025 monthly summary for JeffersonLab/halld_recon focused on TRD enhancements, reliability improvements, and preparation for master integration. Delivered high-impact features and fixes that improve physics discrimination, data quality, and monitoring capabilities while laying groundwork for CCDB changes and master merge readiness.
17 Commits • 5 Features
Apr 1, 2025April 2025 monthly summary for JeffersonLab/halld_recon focused on TRD enhancements, reliability improvements, and preparation for master integration. Delivered high-impact features and fixes that improve physics discrimination, data quality, and monitoring capabilities while laying groundwork for CCDB changes and master merge readiness.
April 2025
March 2025
8 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for JeffersonLab/halld_recon: Delivered major TRD reconstruction enhancements and data-quality improvements with focused monitoring improvements and data-model refactors. These changes advance physics performance by improving TRD point accuracy, charge-based selection, and diagnostics, while maintaining code quality and maintainability.
March 2025
8 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for JeffersonLab/halld_recon: Delivered major TRD reconstruction enhancements and data-quality improvements with focused monitoring improvements and data-model refactors. These changes advance physics performance by improving TRD point accuracy, charge-based selection, and diagnostics, while maintaining code quality and maintainability.
Activity
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Quality Metrics
Correctness80.8%
Maintainability82.4%
Architecture77.6%
Performance64.8%
AI Usage20.8%
Skills & Technologies
Programming Languages
CC++C/C++PythonROOT
Technical Skills
Build System ConfigurationC++C++ DevelopmentCalibrationCode RefactoringData AnalysisData CalibrationData ReconstructionData StructuresData processingDebuggingDetector CalibrationDetector PhysicsDetector SimulationHistogramming
Repositories Contributed To
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