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 contributed to JeffersonLab/halld_recon by developing and enhancing monitoring and visualization systems for physics data analysis. Over two months, Dalton implemented new C++ macros and plugins to improve helicity asymmetry monitoring, added robust handling for missing histograms, and refined plotting for FCAL occupancy and vertex distributions. Using C++ and ROOT, Dalton introduced 2D histograms for vertex positions and improved the reliability of live dashboards, enabling faster anomaly detection and clearer operator insights. The work demonstrated depth in scientific computing and data visualization, resulting in more resilient monitoring tools and higher data quality for production workflows in experimental physics environments.
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 peopleSame Organization
@jlab.org17
Shared Repositories
33
Alex AustregesiloMember
acschickMember
acschickMember
andrsmitMember
Bo YuMember
David LawrenceMember
dglazierMember
Harsimran SinghMember
igjaegleMember
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
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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
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