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, Ziegler developed and enhanced core reconstruction features in the JeffersonLab/coatjava repository, focusing on particle physics data workflows. He implemented multi-vertex decay chain reconstruction and integrated new vertex services, improving analysis reliability and configuration management using Java and YAML. Ziegler refined CVT track alignment and hemisphere handling, increasing trajectory precision through geometry and seeding adjustments. He also introduced HV cut-free reconstruction in CVTEngine, enabling flexible data collection under constrained conditions. Additionally, he delivered run-aware ADC status handling to filter corrupted events, strengthening data quality. His work demonstrated depth in backend development, detector simulation, and robust software architecture.
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
36 people
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
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