JeffersonLab/halld_recon
Nov 2024 – Jun 2025
8 Months active
Languages Used
C++XML
Technical Skills
C++C++ DevelopmentCalibrationCalibration Data HandlingData AcquisitionData Analysis
staylorjlab
PROFILE
Staylorjlab
Over eight months, S. Taylor engineered and enhanced detector reconstruction and analysis features in the JeffersonLab/halld_recon repository, focusing on ECAL, FCAL, and GEMTRD subsystems. Taylor implemented calibration routines, real-time monitoring, and REST-based data logging using C++ and ROOT, improving timing accuracy, data integrity, and visualization. Their work included robust geometry handling, cluster and shower analytics, and performance optimizations, with careful attention to code maintainability and configuration flexibility. By integrating XML-based configuration and defensive programming practices, Taylor addressed both feature development and bug fixes, delivering a reliable, extensible codebase that supports advanced particle physics analysis and operational diagnostics.
Overall Statistics
Feature vs Bugs
87%Features
Repository Contributions
54Total
Bugs
3
Commits
54
Features
20
Lines of code
1,527
Activity Months8
Your Network
37 peopleSame Organization
@ifarm2402.jlab.org4
Work History
June 2025
20 Commits • 5 Features
Jun 1, 2025June 2025 monthly summary focusing on key accomplishments and business value. Delivered a suite of ECAL/DECAL detector-analytic features and visualization improvements in JeffersonLab/halld_recon, resulting in better diagnostic visibility, more accurate timing, and richer REST-exposed metrics. Key outcomes include enhanced ECAL/FCAL visualization, improved ECAL cluster timing with 5x5 neighborhood analysis, exposure of energy-ratio metrics for DECAL/ECAL showers, refined shower/track matching including per-hit distance consideration, and the new ECAL single-hit track matching infrastructure with REST exposure and a default-off flag.
20 Commits • 5 Features
Jun 1, 2025June 2025 monthly summary focusing on key accomplishments and business value. Delivered a suite of ECAL/DECAL detector-analytic features and visualization improvements in JeffersonLab/halld_recon, resulting in better diagnostic visibility, more accurate timing, and richer REST-exposed metrics. Key outcomes include enhanced ECAL/FCAL visualization, improved ECAL cluster timing with 5x5 neighborhood analysis, exposure of energy-ratio metrics for DECAL/ECAL showers, refined shower/track matching including per-hit distance consideration, and the new ECAL single-hit track matching infrastructure with REST exposure and a default-off flag.
June 2025
May 2025
6 Commits • 4 Features
May 1, 2025May 2025 monthly summary for JeffersonLab/halld_recon focused on delivering robust ECAL reconstruction capabilities and improving data capture/ingestion. Key features delivered include a time walk correction for ECAL hit times, enhanced ECAL shower covariance handling (with better error component and correlation extraction and proper covariance sizing), new ECAL shower XML configuration updates (including a new FCALShower flag), and REST IO support for ECAL showers (write and read). These workstreams collectively advance accuracy, reliability, and observability of ECAL-related data.
May 2025
6 Commits • 4 Features
May 1, 2025May 2025 monthly summary for JeffersonLab/halld_recon focused on delivering robust ECAL reconstruction capabilities and improving data capture/ingestion. Key features delivered include a time walk correction for ECAL hit times, enhanced ECAL shower covariance handling (with better error component and correlation extraction and proper covariance sizing), new ECAL shower XML configuration updates (including a new FCALShower flag), and REST IO support for ECAL showers (write and read). These workstreams collectively advance accuracy, reliability, and observability of ECAL-related data.
April 2025
7 Commits • 2 Features
Apr 1, 2025April 2025 focused on reinforcing reconstruction reliability and physics reach in the Jefferson Lab halld_recon pipeline. Delivered border-proximity tracking across DECAL/DFCAL/FCAL with propagated indicators and block counts, enhanced cross-detector border reporting, and upgraded shower stitching with boundary checks and configurable matching. Fixed a critical reconstruction hang by correcting a Kalman SIMD typo. These changes improve detector-edge event characterization, reduce false separations, and provide configurable controls for performance tuning and analysis reproducibility.
7 Commits • 2 Features
Apr 1, 2025April 2025 focused on reinforcing reconstruction reliability and physics reach in the Jefferson Lab halld_recon pipeline. Delivered border-proximity tracking across DECAL/DFCAL/FCAL with propagated indicators and block counts, enhanced cross-detector border reporting, and upgraded shower stitching with boundary checks and configurable matching. Fixed a critical reconstruction hang by correcting a Kalman SIMD typo. These changes improve detector-edge event characterization, reduce false separations, and provide configurable controls for performance tuning and analysis reproducibility.
April 2025
March 2025
1 Commits • 1 Features
Mar 1, 2025Concise monthly summary for 2025-03: Overall, delivered a key feature by changing COUNT_POTENTIAL_HITS default to true in the tracking analysis, enabling more comprehensive inclusion of potential hits by default. Implemented as a minimal, low-risk single-line change in DTrackTimeBased_factory.cc. No major bugs fixed were recorded for JeffersonLab/halld_recon in March. Impact includes improved analysis completeness and consistency across runs, reduced need for manual configuration, and clearer downstream physics results. Technologies/skills demonstrated include C++, codebase navigation, and git-based change management.
March 2025
1 Commits • 1 Features
Mar 1, 2025Concise monthly summary for 2025-03: Overall, delivered a key feature by changing COUNT_POTENTIAL_HITS default to true in the tracking analysis, enabling more comprehensive inclusion of potential hits by default. Implemented as a minimal, low-risk single-line change in DTrackTimeBased_factory.cc. No major bugs fixed were recorded for JeffersonLab/halld_recon in March. Impact includes improved analysis completeness and consistency across runs, reduced need for manual configuration, and clearer downstream physics results. Technologies/skills demonstrated include C++, codebase navigation, and git-based change management.
February 2025
9 Commits • 4 Features
Feb 1, 2025February 2025 (2025-02) monthly summary for JeffersonLab/halld_recon focusing on delivering GEMTRD integration, code quality improvements, and performance optimizations that strengthen geometry handling, visualization, and track fitting. Key business value includes improved TRD analysis accuracy, safer geometry operations, reduced memory footprint, and faster iteration in the reconstruction pipeline.
9 Commits • 4 Features
Feb 1, 2025February 2025 (2025-02) monthly summary for JeffersonLab/halld_recon focusing on delivering GEMTRD integration, code quality improvements, and performance optimizations that strengthen geometry handling, visualization, and track fitting. Key business value includes improved TRD analysis accuracy, safer geometry operations, reduced memory footprint, and faster iteration in the reconstruction pipeline.
February 2025
January 2025
4 Commits • 1 Features
Jan 1, 2025January 2025: Focused on improving ECAL observability and monitoring reliability in JeffersonLab/halld_recon. Delivered the ECAL Occupancy Monitoring feature with histograms and a real-time visualization macro/UI, enabling immediate detection of occupancy anomalies. Fixed critical gaps in the histogram monitoring pipeline by adding guards to skip histogram fills when extrapolations are missing and restoring DTOFPoint retrieval from the event loop, restoring proper monitoring data flow. These efforts improve data quality, system reliability, and operational readiness. Business impact: faster issue detection in ECAL, fewer false negatives/positives in monitoring, and a more maintainable monitoring stack. Technologies/skills: C++/ROOT histograms, macro/UI tooling, robust data-handling in the event loop, and safeguarding against missing detector extrapolations.
January 2025
4 Commits • 1 Features
Jan 1, 2025January 2025: Focused on improving ECAL observability and monitoring reliability in JeffersonLab/halld_recon. Delivered the ECAL Occupancy Monitoring feature with histograms and a real-time visualization macro/UI, enabling immediate detection of occupancy anomalies. Fixed critical gaps in the histogram monitoring pipeline by adding guards to skip histogram fills when extrapolations are missing and restoring DTOFPoint retrieval from the event loop, restoring proper monitoring data flow. These efforts improve data quality, system reliability, and operational readiness. Business impact: faster issue detection in ECAL, fewer false negatives/positives in monitoring, and a more maintainable monitoring stack. Technologies/skills: C++/ROOT histograms, macro/UI tooling, robust data-handling in the event loop, and safeguarding against missing detector extrapolations.
December 2024
2 Commits • 1 Features
Dec 1, 2024December 2024: Enhancements to JeffersonLab/halld_recon to improve data extraction reliability and run robustness. Standardized FDC leaf naming (FDC_posX_X -> FDCX_X) in DEventWriterROOT to streamline data access; added a safe fallback for missing ECAL data by assigning dECALz = 1000.0 for CPP runs, preserving extrapolations to FMWPCs. These changes improve data quality, reduce runtime errors, and support continued physics analysis.
2 Commits • 1 Features
Dec 1, 2024December 2024: Enhancements to JeffersonLab/halld_recon to improve data extraction reliability and run robustness. Standardized FDC leaf naming (FDC_posX_X -> FDCX_X) in DEventWriterROOT to streamline data access; added a safe fallback for missing ECAL data by assigning dECALz = 1000.0 for CPP runs, preserving extrapolations to FMWPCs. These changes improve data quality, reduce runtime errors, and support continued physics analysis.
December 2024
November 2024
5 Commits • 2 Features
Nov 1, 2024November 2024: Delivered critical detector calibration and data output enhancements for Jefferson Lab HALld reconstruction, focusing on DFCAL geometry calibration alignment with CCDB conventions, active-channel validation, and prioritized survey data initialization; plus FDC data output enhancements enabling richer trajectory analysis via verbose mode and REST control. These changes improved calibration accuracy, data integrity, and debugging capabilities, enabling more reliable physics analyses and faster issue diagnosis across the detector suite.
November 2024
5 Commits • 2 Features
Nov 1, 2024November 2024: Delivered critical detector calibration and data output enhancements for Jefferson Lab HALld reconstruction, focusing on DFCAL geometry calibration alignment with CCDB conventions, active-channel validation, and prioritized survey data initialization; plus FDC data output enhancements enabling richer trajectory analysis via verbose mode and REST control. These changes improved calibration accuracy, data integrity, and debugging capabilities, enabling more reliable physics analyses and faster issue diagnosis across the detector suite.
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Quality Metrics
Correctness88.4%
Maintainability88.4%
Architecture87.4%
Performance79.2%
AI Usage20.8%
Skills & Technologies
Programming Languages
C++XML
Technical Skills
Bug FixBug FixingC++C++ DevelopmentCalibrationCalibration Data HandlingCode RefactoringConfigurationData AcquisitionData AnalysisData ConfigurationData LoggingData MonitoringData ParsingData Processing
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