JeffersonLab/halld_recon
Dec 2025 – Dec 2025
1 Month active
Languages Used
C++
Technical Skills
C++ developmentC++ programmingdata representationdata visualizationgraphics programmingoffline data analysis
andrsmit
PROFILE
Andrsmit
During December 2025, Andrsmit enhanced the JeffersonLab/halld_recon repository by developing new macros for TAGH and TAGM occupancy monitoring, enabling histogram-based offline analysis and clearer visualization of detector occupancy. Using C++ and graphics programming skills, Andrsmit updated the TAGM occupancy color scheme to match existing TAGGER macros, ensuring consistent data representation across visualizations. Additionally, they addressed a stability issue by correcting the TLatex rendering position in the occupancy monitoring plugin, which improved the accuracy of event-number displays. These targeted updates improved data quality and streamlined offline analysis workflows, reflecting a focused approach to visualization and data representation challenges.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
264
Activity Months1
Your Network
50 people
Work History
December 2025
3 Commits • 2 Features
Dec 1, 2025December 2025 monthly summary for JeffersonLab/halld_recon: Key deliverables focused on occupancy monitoring enhancements and a stability bug fix. Implemented separate macros for TAGH and TAGM occupancy histograms to improve offline data analysis and detector performance insights, updated color scheme for TAGM visualizations to align with TAGGER macros for consistency, and fixed TLatex rendering position in the occupancy monitoring plugin to ensure correct event-number display. These changes improve data quality, visualization clarity, and offline-analysis workflows, enabling faster interpretation of detector occupancy and performance metrics.
3 Commits • 2 Features
Dec 1, 2025December 2025 monthly summary for JeffersonLab/halld_recon: Key deliverables focused on occupancy monitoring enhancements and a stability bug fix. Implemented separate macros for TAGH and TAGM occupancy histograms to improve offline data analysis and detector performance insights, updated color scheme for TAGM visualizations to align with TAGGER macros for consistency, and fixed TLatex rendering position in the occupancy monitoring plugin to ensure correct event-number display. These changes improve data quality, visualization clarity, and offline-analysis workflows, enabling faster interpretation of detector occupancy and performance metrics.
December 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability93.4%
Architecture93.4%
Performance93.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
C++ developmentC++ programmingdata representationdata visualizationgraphics programmingoffline data analysisvisualization
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