JeffersonLab/coatjava
Mar 2025 – Jul 2025
3 Months active
Languages Used
JavaJSONPython
Technical Skills
Data AcquisitionData DecodingDetector PhysicsDetector SimulationEvent ProcessingJava Development
Felix Touchte Codjo
PROFILE
Felix Touchte Codjo
Felix Touchte Codjo contributed to the JeffersonLab/coatjava repository by developing and refining backend systems for detector data reconstruction and calibration over a three-month period. He implemented timing-based event decoding and integrated calibration constants infrastructure using Java and CCDB, enabling precise time-to-distance calculations and improved data normalization. Felix enhanced data structures to support enriched hit and track metrics, introduced bitwise operations for robust timestamp extraction, and expanded simulation data handling. His work included code refactoring, unit testing, and configuration management, resulting in more reliable, maintainable pipelines that support both real and simulated detector data in particle physics reconstruction workflows.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
30Total
Bugs
4
Commits
30
Features
8
Lines of code
873
Activity Months3
Your Network
19 people
Work History
July 2025
8 Commits • 3 Features
Jul 1, 2025July 2025 monthly summary for JeffersonLab/coatjava focusing on delivering high-value features, fixing data-quality issues, and strengthening the reconstruction workflow. This month prioritized AHDC data quality and time accuracy, integration of AHDC processing into the PulseExtractorEngine, and HitReader enhancements to better support simulation data and waveform handling. The combined work improves data reliability, reconstruction throughput, and maintainability, aligning with physics goals and operational efficiency.
8 Commits • 3 Features
Jul 1, 2025July 2025 monthly summary for JeffersonLab/coatjava focusing on delivering high-value features, fixing data-quality issues, and strengthening the reconstruction workflow. This month prioritized AHDC data quality and time accuracy, integration of AHDC processing into the PulseExtractorEngine, and HitReader enhancements to better support simulation data and waveform handling. The combined work improves data reliability, reconstruction throughput, and maintainability, aligning with physics goals and operational efficiency.
July 2025
April 2025
19 Commits • 4 Features
Apr 1, 2025April 2025 performance summary for JeffersonLab/coatjava: Delivered calibration constants infrastructure with CCDB integration to drive reconstruction with time offsets and doca-calibrated time-to-distance data, enabling CCDB-based calibration loading and alerts. Enriched hit data with time attribute and propagated through HitReader to enable time-based reconstruction analyses. Expanded AHDC data structures and Kalman-based tracking with hit filtering and richer metrics, including time, counts, energy deposition, path length, and fit quality. Normalized bank naming and improved data format consistency across AHDC, ATOF, ALERT, improving maintainability and downstream data processing. Updated tests and test data to reflect new structures, ensuring build stability and reliability of reconstruction pipelines.
April 2025
19 Commits • 4 Features
Apr 1, 2025April 2025 performance summary for JeffersonLab/coatjava: Delivered calibration constants infrastructure with CCDB integration to drive reconstruction with time offsets and doca-calibrated time-to-distance data, enabling CCDB-based calibration loading and alerts. Enriched hit data with time attribute and propagated through HitReader to enable time-based reconstruction analyses. Expanded AHDC data structures and Kalman-based tracking with hit filtering and richer metrics, including time, counts, energy deposition, path length, and fit quality. Normalized bank naming and improved data format consistency across AHDC, ATOF, ALERT, improving maintainability and downstream data processing. Updated tests and test data to reflect new structures, ensuring build stability and reliability of reconstruction pipelines.
March 2025
3 Commits • 1 Features
Mar 1, 2025Monthly summary for 2025-03 focused on the JeffersonLab/coatjava repository. Delivered timing-based event decoding improvements across DetectorEventDecoder and ModeAHDC, with refactors that streamline time handling and data extraction.
3 Commits • 1 Features
Mar 1, 2025Monthly summary for 2025-03 focused on the JeffersonLab/coatjava repository. Delivered timing-based event decoding improvements across DetectorEventDecoder and ModeAHDC, with refactors that streamline time handling and data extraction.
March 2025
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Quality Metrics
Correctness87.0%
Maintainability90.0%
Architecture84.8%
Performance79.4%
AI Usage22.0%
Skills & Technologies
Programming Languages
JSONJavaPython
Technical Skills
Backend DevelopmentBitwise OperationsCCDBCalibrationCalibration ManagementCode CleanupCode RefactoringConfiguration ManagementData AcquisitionData AnalysisData CleaningData DecodingData LoadingData NormalizationData Processing
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