JeffersonLab/coatjava
Nov 2024 – Feb 2026
4 Months active
Languages Used
JavaYAML
Technical Skills
AlignmentC++Detector SimulationGeometryJavaParticle Physics
Veronique Ziegler
PROFILE
Veronique Ziegler
Over four months, contributed multiple features to the JeffersonLab/coatjava repository, focusing on particle physics reconstruction and data quality improvements. Developed enhancements for CVT track alignment and hemisphere handling, refining geometry and trajectory precision using Java and C++. Introduced a run-aware ADC status handling system to filter corrupted events, improving downstream data reliability. Built a multi-vertex decay chain reconstruction service and integrated vertex services with robust YAML-based configuration management. Enabled HV cut-free reconstruction in CVTEngine, increasing operational flexibility under constrained conditions. The work demonstrated depth in backend development, detector simulation, and reconstruction algorithms, consistently addressing complex data processing challenges.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
5
Lines of code
5,370
Activity Months4
Your Network
38 peopleSame Organization
@jlab.org18
Work History
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026: Implemented HV Cut-Free Reconstruction in CVTEngine for JeffersonLab/coatjava, enabling reconstruction without HV cuts and increasing operational flexibility under HV-constrained conditions. The work was delivered via commit d4799581018c1e9c31298c29d0040ae0c15e225b (BMT HV cut off #1097).
1 Commits • 1 Features
Feb 1, 2026February 2026: Implemented HV Cut-Free Reconstruction in CVTEngine for JeffersonLab/coatjava, enabling reconstruction without HV cuts and increasing operational flexibility under HV-constrained conditions. The work was delivered via commit d4799581018c1e9c31298c29d0040ae0c15e225b (BMT HV cut off #1097).
February 2026
May 2025
2 Commits • 2 Features
May 1, 2025May 2025 monthly summary for JeffersonLab/coatjava: Delivered two major features to enhance decay analysis and reconstruction reliability, along with a targeted init bug fix. The work strengthens physics analysis workflows, improves configuration stability across pipelines, and demonstrates solid Java service development, tooling integration, and data handling capabilities.
May 2025
2 Commits • 2 Features
May 1, 2025May 2025 monthly summary for JeffersonLab/coatjava: Delivered two major features to enhance decay analysis and reconstruction reliability, along with a targeted init bug fix. The work strengthens physics analysis workflows, improves configuration stability across pipelines, and demonstrates solid Java service development, tooling integration, and data handling capabilities.
January 2025
1 Commits • 1 Features
Jan 1, 2025Monthly summary for 2025-01 (JeffersonLab/coatjava): SVT ADC status handling enhancements delivered. Implemented a new adcStatus table and refined logic to identify and discard corrupted events based on ADC values, with run-aware interpretation for -1 ADC status. This work substantially improves data quality and robustness of hit reading, reducing unreliable data propagating to downstream analysis. Overall, these changes streamline data cleansing and support more reliable physics analyses across runs.
1 Commits • 1 Features
Jan 1, 2025Monthly summary for 2025-01 (JeffersonLab/coatjava): SVT ADC status handling enhancements delivered. Implemented a new adcStatus table and refined logic to identify and discard corrupted events based on ADC values, with run-aware interpretation for -1 ADC status. This work substantially improves data quality and robustness of hit reading, reducing unreliable data propagating to downstream analysis. Overall, these changes streamline data cleansing and support more reliable physics analyses across runs.
January 2025
November 2024
2 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary focused on CVT reconstruction enhancements and hemisphere handling improvements in coatjava, with a strong emphasis on trajectory precision and data quality.
November 2024
2 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary focused on CVT reconstruction enhancements and hemisphere handling improvements in coatjava, with a strong emphasis on trajectory precision and data quality.
Activity
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Quality Metrics
Correctness86.6%
Maintainability83.4%
Architecture83.4%
Performance71.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaYAML
Technical Skills
AlignmentBackend DevelopmentC++CalibrationConfiguration ManagementData AnalysisData ReconstructionDetector PhysicsDetector SimulationEvent ProcessingGeometryJavaParticle PhysicsPhysics ReconstructionReconstruction Algorithms
Repositories Contributed To
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