JeffersonLab/halld_recon
Jan 2025 – Feb 2026
8 Months active
Languages Used
C++PythonShell
Technical Skills
Data AnalysisDebuggingScriptingBuffer ManagementBug FixingC++
Naomi Jarvis
PROFILE
Naomi Jarvis
Nicholas built and maintained advanced data acquisition and monitoring tools for the JeffersonLab/halld_recon repository, focusing on robust event processing and diagnostics for physics experiments. He engineered features such as FA125 temperature monitoring, drift-time fitting, and multi-peak pulse parsing, applying C++ and ROOT to ensure reliable data handling and visualization. His work included refactoring plugins for maintainability, implementing centralized error tracking, and modernizing build systems with Python scripting. By addressing concurrency, buffer management, and error handling, Nicholas improved data integrity and reduced maintenance overhead, demonstrating depth in embedded systems and scientific computing while enabling more accurate and efficient downstream analysis.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
35Total
Bugs
6
Commits
35
Features
12
Lines of code
14,703
Activity Months8
Your Network
44 people
Work History
February 2026
11 Commits • 2 Features
Feb 1, 2026February 2026 (2026-02) focused on strengthening data integrity in JeffersonLab/halld_recon and simplifying the build system for long-term maintainability. Key outcomes include centralized bad-hit handling with a new DBadHit class and expanded error reporting across DAQ components (fa125/fa250 and helicity decoder), plus histogram extensions to track and reduce unreported data-format errors. In parallel, the build system was cleaned by removing obsolete components (Eventnum plugin, JEventSource_EVIO) and addressing stray inputs to reduce maintenance overhead; related cleanup commits were consolidated, with a separate PR for deeper cleanups. These changes improve data quality, reduce maintenance burden, and set the stage for faster, safer releases.
11 Commits • 2 Features
Feb 1, 2026February 2026 (2026-02) focused on strengthening data integrity in JeffersonLab/halld_recon and simplifying the build system for long-term maintainability. Key outcomes include centralized bad-hit handling with a new DBadHit class and expanded error reporting across DAQ components (fa125/fa250 and helicity decoder), plus histogram extensions to track and reduce unreported data-format errors. In parallel, the build system was cleaned by removing obsolete components (Eventnum plugin, JEventSource_EVIO) and addressing stray inputs to reduce maintenance overhead; related cleanup commits were consolidated, with a separate PR for deeper cleanups. These changes improve data quality, reduce maintenance burden, and set the stage for faster, safer releases.
February 2026
November 2025
3 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for Jefferson Lab projects focusing on halld_recon. Delivered codebase improvements to CDC drift monitoring with a clean separation of concerns, targeted enhancements to drift-time modeling, and repository hygiene to support maintainability and future work.
November 2025
3 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for Jefferson Lab projects focusing on halld_recon. Delivered codebase improvements to CDC drift monitoring with a clean separation of concerns, targeted enhancements to drift-time modeling, and repository hygiene to support maintainability and future work.
July 2025
2 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for JeffersonLab/halld_recon: Delivered Fa125 firmware compatibility with enhanced instrumentation, including simplified initialization and dedicated histograms. Improved temperature data visualization by replacing TH2D with TProfile2D to provide per-ROC/slot statistics and highlight potential danger points. Completed code cleanup by removing legacy Fa125 readout format to reduce maintenance risk and dead code paths. These changes strengthen reliability, diagnostics, and scalability for future instrumentation work.
2 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for JeffersonLab/halld_recon: Delivered Fa125 firmware compatibility with enhanced instrumentation, including simplified initialization and dedicated histograms. Improved temperature data visualization by replacing TH2D with TProfile2D to provide per-ROC/slot statistics and highlight potential danger points. Completed code cleanup by removing legacy Fa125 readout format to reduce maintenance risk and dead code paths. These changes strengthen reliability, diagnostics, and scalability for future instrumentation work.
July 2025
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 performance summary for JeffersonLab HALld_recon: Delivered the FA125 Temperature Monitoring Macro to monitor fa125 temperature, including a ROOT macro for histogram plotting, display parameters, optional AI-based analysis when ROOTSPY_MACROS is enabled, and code to render the histogram on a canvas with axis styling and color contours. This work establishes automated temperature monitoring as a foundation for proactive diagnostics and quality control in the FA125 subsystem.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 performance summary for JeffersonLab HALld_recon: Delivered the FA125 Temperature Monitoring Macro to monitor fa125 temperature, including a ROOT macro for histogram plotting, display parameters, optional AI-based analysis when ROOTSPY_MACROS is enabled, and code to render the histogram on a canvas with axis styling and color contours. This work establishes automated temperature monitoring as a foundation for proactive diagnostics and quality control in the FA125 subsystem.
April 2025
7 Commits • 3 Features
Apr 1, 2025In April 2025, the halld_recon module for Jefferson Lab delivered targeted reliability, observability, and maintainability improvements across event processing and monitoring. Key work focused on stabilizing event data handling, expanding diagnostics, and modernizing build practices to reduce deployment overhead while enhancing operator visibility and data quality.
7 Commits • 3 Features
Apr 1, 2025In April 2025, the halld_recon module for Jefferson Lab delivered targeted reliability, observability, and maintainability improvements across event processing and monitoring. Key work focused on stabilizing event data handling, expanding diagnostics, and modernizing build practices to reduce deployment overhead while enhancing operator visibility and data quality.
April 2025
March 2025
3 Commits
Mar 1, 2025March 2025: Delivered critical robustness enhancements in JeffersonLab/halld_recon with a focus on F125 data handling and monitoring stability. Consolidated fixes addressed parsing edge cases, improved thread-safety for ROOT tree operations and histogram filling in fa125 itrigger processing, and cleaned up CDC pulse data acquisition to ensure correct Df125CDCPulse retrieval. These changes improve data reliability, reduce runtime exceptions, and enhance maintainability, with clear traceability to committed changes.
March 2025
3 Commits
Mar 1, 2025March 2025: Delivered critical robustness enhancements in JeffersonLab/halld_recon with a focus on F125 data handling and monitoring stability. Consolidated fixes addressed parsing edge cases, improved thread-safety for ROOT tree operations and histogram filling in fa125 itrigger processing, and cleaned up CDC pulse data acquisition to ensure correct Df125CDCPulse retrieval. These changes improve data reliability, reduce runtime exceptions, and enhance maintainability, with clear traceability to committed changes.
February 2025
7 Commits • 3 Features
Feb 1, 2025February 2025 milestones for JeffersonLab/halld_recon focused on enriching FADC125 data parsing, improving data integrity, and modernizing the codebase for robustness and maintainability. Implemented multi-pulse and multi-peak parsing for FADC125 pulses, corrected pulse numbering to reflect actual peak indices, and added an npk field to capture peak counts across data, emulation, and difference calculations. Strengthened data parsing with boundary checks to prevent buffer overruns and truncation issues. Improved CDC scan processing with JANA2 compatibility and refined lock management, boosting reliability in data retrieval and event processing. These changes enhance physics data accuracy, enable more reliable analyses, and reduce maintenance overhead through modern C++ patterns.
7 Commits • 3 Features
Feb 1, 2025February 2025 milestones for JeffersonLab/halld_recon focused on enriching FADC125 data parsing, improving data integrity, and modernizing the codebase for robustness and maintainability. Implemented multi-pulse and multi-peak parsing for FADC125 pulses, corrected pulse numbering to reflect actual peak indices, and added an npk field to capture peak counts across data, emulation, and difference calculations. Strengthened data parsing with boundary checks to prevent buffer overruns and truncation issues. Improved CDC scan processing with JANA2 compatibility and refined lock management, boosting reliability in data retrieval and event processing. These changes enhance physics data accuracy, enable more reliable analyses, and reduce maintenance overhead through modern C++ patterns.
February 2025
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for JeffersonLab/halld_recon. Delivered a new data-diff analysis capability for FA125 outputs in the CDC and FDC by introducing a ROOT script (plot_diffs.C) integrated into the cdc_scan plugin. The script compares reported vs emulated FA125 results and produces per-ROC, per-slot, and per-channel plots along with detailed discrepancy listings, facilitating faster debugging and data-quality assessments. While no discrete bug fixes were recorded this month, the work enhances defect isolation and cross-system traceability. Demonstrated capabilities position the team for improved data integrity and more efficient validation in downstream workflows.
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for JeffersonLab/halld_recon. Delivered a new data-diff analysis capability for FA125 outputs in the CDC and FDC by introducing a ROOT script (plot_diffs.C) integrated into the cdc_scan plugin. The script compares reported vs emulated FA125 results and produces per-ROC, per-slot, and per-channel plots along with detailed discrepancy listings, facilitating faster debugging and data-quality assessments. While no discrete bug fixes were recorded this month, the work enhances defect isolation and cross-system traceability. Demonstrated capabilities position the team for improved data integrity and more efficient validation in downstream workflows.
Activity
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Quality Metrics
Correctness86.0%
Maintainability85.2%
Architecture80.6%
Performance77.8%
AI Usage21.8%
Skills & Technologies
Programming Languages
C++PythonShell
Technical Skills
Buffer ManagementBug FixingBuild System ConfigurationC++C++ developmentC++ programmingCode CleanupCode CorrectionConcurrency ControlData AcquisitionData AnalysisData MonitoringData ParsingData ProcessingData Validation
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