JeffersonLab/halld_recon
Nov 2024 – Dec 2025
7 Months active
Languages Used
C++MakeShell
Technical Skills
C++CalibrationData AnalysisDetector PhysicsSoftware EngineeringDetector Calibration
igjaegle
PROFILE
Igjaegle
Igor Jaegle contributed to JeffersonLab’s halld_recon repository by developing and refining calibration, event reconstruction, and data analysis workflows over seven months. He implemented calibration-driven filtering and energy scaling in C++ to improve calorimeter clustering and simulation accuracy, and introduced unified calibration plugins for ECAL and FCAL systems. His work included enhancing timing calibration, adding new histogramming and visualization features using ROOT, and improving data processing reliability through targeted bug fixes and code refactoring. By integrating TOF-ECAL matching and optimizing event processing logic, Igor strengthened the repository’s scientific computing capabilities and ensured more accurate, maintainable, and reproducible physics analyses.
Overall Statistics
Feature vs Bugs
73%Features
Repository Contributions
21Total
Bugs
3
Commits
21
Features
8
Lines of code
3,887
Activity Months7
Your Network
33 people
Work History
December 2025
2 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for JeffersonLab/halld_recon: Delivered a key feature enhancement to DNeutralShower processing by implementing energy-dependent calibration enhancements and a TOF-ECAL matching mechanism. Introduced new variables to track TOF-ECAL matches, improving reconstruction accuracy for neutral showers and enabling more reliable physics analyses. This work, backed by two commits, c19b5d40e3255699804ba672b1c34b91361a7aa9 and 89a927b03b6fce6b8ec5800d1eb3157f77ae478b, streamlines calibration workflows and reinforces data quality across analyses.
2 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for JeffersonLab/halld_recon: Delivered a key feature enhancement to DNeutralShower processing by implementing energy-dependent calibration enhancements and a TOF-ECAL matching mechanism. Introduced new variables to track TOF-ECAL matches, improving reconstruction accuracy for neutral showers and enabling more reliable physics analyses. This work, backed by two commits, c19b5d40e3255699804ba672b1c34b91361a7aa9 and 89a927b03b6fce6b8ec5800d1eb3157f77ae478b, streamlines calibration workflows and reinforces data quality across analyses.
December 2025
November 2025
8 Commits • 1 Features
Nov 1, 2025November 2025: Targeted bug fixes and visualization enhancements in JeffersonLab/halld_recon to improve event reconstruction accuracy and calibration data interpretation. Key work includes a data-structure correction in BCAL invariant mass analysis (replacing FCALCluster with FCALShower and adjusting position/energy access to restore correct event processing) and FCAL time correction refinements to boost calibration precision, plus extensive Calibration Monitoring Visualization Enhancements for ECAL/FCAL plots (new macros, histogram projections, styles, and legends). These changes collectively improve data quality, reliability of calibration workflows, and support for robust physics analysis. Technologies demonstrated include C++ data-structure refactors, ROOT macros, visualization styling, and robust data-access patterns.
November 2025
8 Commits • 1 Features
Nov 1, 2025November 2025: Targeted bug fixes and visualization enhancements in JeffersonLab/halld_recon to improve event reconstruction accuracy and calibration data interpretation. Key work includes a data-structure correction in BCAL invariant mass analysis (replacing FCALCluster with FCALShower and adjusting position/energy access to restore correct event processing) and FCAL time correction refinements to boost calibration precision, plus extensive Calibration Monitoring Visualization Enhancements for ECAL/FCAL plots (new macros, histogram projections, styles, and legends). These changes collectively improve data quality, reliability of calibration workflows, and support for robust physics analysis. Technologies demonstrated include C++ data-structure refactors, ROOT macros, visualization styling, and robust data-access patterns.
October 2025
3 Commits • 2 Features
Oct 1, 2025Concise monthly summary for 2025-10 focused on developer work on JeffersonLab/halld_recon. Key features delivered and major fixes: - Timing calibration enhancements (ECAL/FCAL): Introduced new histograms for timing calibration and refactored code to compute corrected time differences (ctime) between RF signals and detector hits, and between hit pairs within the same detector, improving timing precision for particle identification and event reconstruction. - FCAL LED analysis plugin: Added a new analysis plugin with histogramming and data trees, including SConscript entries, sources, and build configuration to enable LED signal analysis. Major bugs fixed: - Shower energy/position calculation reliability fixes: Fixed typos in DFCALShower_factory.cc and adjusted nonlinear correction parameters to restore timing calibration consistency, improving accuracy and reliability of shower energy and position calculations. Overall impact and accomplishments: - Improved data quality for analyses through enhanced timing calibration and more reliable shower reconstructions, leading to more accurate particle ID and event reconstruction. - Expanded analysis capabilities for FCAL LED signals with a dedicated plugin, improving data processing workflows and analysis throughput. - Strengthened code quality, maintainability, and build readiness through targeted fixes and refactoring. Technologies/skills demonstrated: - C++ reconstruction code, histogramming, time calibration, data tree structures, and build systems (SConscript). - Debugging of calibration and shower calculation components; subsystem knowledge (ECAL/FCAL). - End-to-end feature delivery from implementation to build/configuration and integration into the workflows.
3 Commits • 2 Features
Oct 1, 2025Concise monthly summary for 2025-10 focused on developer work on JeffersonLab/halld_recon. Key features delivered and major fixes: - Timing calibration enhancements (ECAL/FCAL): Introduced new histograms for timing calibration and refactored code to compute corrected time differences (ctime) between RF signals and detector hits, and between hit pairs within the same detector, improving timing precision for particle identification and event reconstruction. - FCAL LED analysis plugin: Added a new analysis plugin with histogramming and data trees, including SConscript entries, sources, and build configuration to enable LED signal analysis. Major bugs fixed: - Shower energy/position calculation reliability fixes: Fixed typos in DFCALShower_factory.cc and adjusted nonlinear correction parameters to restore timing calibration consistency, improving accuracy and reliability of shower energy and position calculations. Overall impact and accomplishments: - Improved data quality for analyses through enhanced timing calibration and more reliable shower reconstructions, leading to more accurate particle ID and event reconstruction. - Expanded analysis capabilities for FCAL LED signals with a dedicated plugin, improving data processing workflows and analysis throughput. - Strengthened code quality, maintainability, and build readiness through targeted fixes and refactoring. Technologies/skills demonstrated: - C++ reconstruction code, histogramming, time calibration, data tree structures, and build systems (SConscript). - Debugging of calibration and shower calculation components; subsystem knowledge (ECAL/FCAL). - End-to-end feature delivery from implementation to build/configuration and integration into the workflows.
October 2025
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for JeffersonLab/halld_recon: Delivered a configurable energy scaling factor for simulated hits in the DFCALCluster_factory, enabling calibration and comparison workflows with a new parameter and conditional application during hit processing, enhancing validation of simulated calorimeter responses and aligning simulations with data.
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for JeffersonLab/halld_recon: Delivered a configurable energy scaling factor for simulated hits in the DFCALCluster_factory, enabling calibration and comparison workflows with a new parameter and conditional application during hit processing, enhancing validation of simulated calorimeter responses and aligning simulations with data.
June 2025
2 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for JeffersonLab/halld_recon focusing on delivering performance improvements and analytics enhancements in the cal_cal processing pathway. Implemented enhanced analytics, reorganized histograms, added FDC-focused histograms and a new cal_cal data directory, updated vertex calculations with FDC package positions, and simplified analysis for improved throughput by removing debug/conditional logic. These changes lay groundwork for more accurate FDC-based event characterization and faster turnaround for physics results.
2 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for JeffersonLab/halld_recon focusing on delivering performance improvements and analytics enhancements in the cal_cal processing pathway. Implemented enhanced analytics, reorganized histograms, added FDC-focused histograms and a new cal_cal data directory, updated vertex calculations with FDC package positions, and simplified analysis for improved throughput by removing debug/conditional logic. These changes lay groundwork for more accurate FDC-based event characterization and faster turnaround for physics results.
June 2025
May 2025
3 Commits • 1 Features
May 1, 2025May 2025 | JeffersonLab/halld_recon: Delivered Pi0 calibration and ECAL/FCAL integration, consolidating calibration improvements and enabling cross-calorimeter candidate selection. Highlights include introduction of a cal_cal plugin for energy/time calibration across ECAL/FCAL and refinement of pi0 calibration using data from the first FDC package with updated histogram logic and energy-based conditions. These efforts strengthen calibration workflows, improve analysis accuracy, and reduce systematic uncertainties for pi0 analyses.
May 2025
3 Commits • 1 Features
May 1, 2025May 2025 | JeffersonLab/halld_recon: Delivered Pi0 calibration and ECAL/FCAL integration, consolidating calibration improvements and enabling cross-calorimeter candidate selection. Highlights include introduction of a cal_cal plugin for energy/time calibration across ECAL/FCAL and refinement of pi0 calibration using data from the first FDC package with updated histogram logic and energy-based conditions. These efforts strengthen calibration workflows, improve analysis accuracy, and reduce systematic uncertainties for pi0 analyses.
November 2024
2 Commits • 1 Features
Nov 1, 2024Month 2024-11: Focused on reinforcing FCAL clustering reliability in JeffersonLab halld_recon. Implemented bad block filtering by introducing a new calibration table and updating DFCALCluster_factory to skip hits associated with known bad blocks. This reduces spurious clusters and improves overall data quality for downstream reconstruction and physics analyses. Key changes were deployed with two commits, and they establish a maintainable approach to handling problematic blocks via calibration data.
2 Commits • 1 Features
Nov 1, 2024Month 2024-11: Focused on reinforcing FCAL clustering reliability in JeffersonLab halld_recon. Implemented bad block filtering by introducing a new calibration table and updating DFCALCluster_factory to skip hits associated with known bad blocks. This reduces spurious clusters and improves overall data quality for downstream reconstruction and physics analyses. Key changes were deployed with two commits, and they establish a maintainable approach to handling problematic blocks via calibration data.
November 2024
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Quality Metrics
Correctness85.2%
Maintainability82.8%
Architecture80.0%
Performance75.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++MakeShell
Technical Skills
Build SystemsC++C++ developmentC++ programmingCalibrationData AnalysisData analysisDetector CalibrationDetector PhysicsEmbedded SystemsEvent ProcessingPhysics AnalysisPhysics SimulationPhysics simulationsROOT
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