JeffersonLab/halld_recon
May 2025 – Jul 2025
2 Months active
Languages Used
C++
Technical Skills
C++C++ DevelopmentData AnalysisData VisualizationDebuggingMonitoring
Mark Dalton
PROFILE
Mark Dalton
Dalton enhanced monitoring and visualization systems in the JeffersonLab/halld_recon repository, focusing on data quality and operational reliability. Over two months, Dalton developed new C++ macros and plugins to monitor helicity asymmetry and vertex distributions, introducing robust 2D and 1D histograms for real-time analysis. Using C++ and ROOT, Dalton improved plotting logic to handle missing data gracefully and refined visualization layouts for clarity. The work included dynamic axis scaling, targeted event selection, and improved fill logic, which accelerated anomaly detection and streamlined online monitoring. Dalton’s contributions deepened the repository’s scientific computing capabilities and improved the speed and accuracy of data insights.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
6Total
Bugs
1
Commits
6
Features
3
Lines of code
305
Activity Months2
Your Network
50 people
Work History
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025: Delivered enhanced vertex monitoring visualization in JeffersonLab/halld_recon. Implemented new 2D histograms for vertex position (X-Z, Y-Z), refined the Z-vertex histogram, updated the canvas layout to accommodate the new plots, and tightened fill logic in the Process function to populate histograms with more specific vertex data. These changes improve online monitoring, data quality, and the speed of insights for target-vertex analyses.
1 Commits • 1 Features
Jul 1, 2025July 2025: Delivered enhanced vertex monitoring visualization in JeffersonLab/halld_recon. Implemented new 2D histograms for vertex position (X-Z, Y-Z), refined the Z-vertex histogram, updated the canvas layout to accommodate the new plots, and tightened fill logic in the Process function to populate histograms with more specific vertex data. These changes improve online monitoring, data quality, and the speed of insights for target-vertex analyses.
July 2025
May 2025
5 Commits • 2 Features
May 1, 2025May 2025 monthly summary for JeffersonLab/halld_recon focusing on monitoring and visualization enhancements with robust plotting and data-quality improvements. Delivered features and bug fixes that improve reliability of live dashboards, accelerate anomaly detection, and enhance operator visibility across helicity triggers and FCAL occupancy. Overview of impact: strengthened monitoring capabilities for helicity asymmetry across trigger bits, clearer and more robust visualizations, and improved handling of missing histograms, contributing to higher data quality and faster issue resolution in production workflows.
May 2025
5 Commits • 2 Features
May 1, 2025May 2025 monthly summary for JeffersonLab/halld_recon focusing on monitoring and visualization enhancements with robust plotting and data-quality improvements. Delivered features and bug fixes that improve reliability of live dashboards, accelerate anomaly detection, and enhance operator visibility across helicity triggers and FCAL occupancy. Overview of impact: strengthened monitoring capabilities for helicity asymmetry across trigger bits, clearer and more robust visualizations, and improved handling of missing histograms, contributing to higher data quality and faster issue resolution in production workflows.
Activity
Loading activity data...
Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture66.6%
Performance63.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
C++C++ DevelopmentData AnalysisData VisualizationDebuggingMonitoringPhysics SimulationROOTScientific Computing
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline