EMPHATICSoft/emphaticsoft
Sep 2023 – Jan 2026
13 Months active
Languages Used
C++ROOTCMakeFCLfclCGDMLPerl
Technical Skills
C++ programmingdata analysissoftware developmentscientific computingC++Data Analysis
Jonathan Paley
PROFILE
Jonathan Paley
Over 13 months, John Paley engineered core data processing, simulation, and reconstruction features for the EMPHATICSoft/emphaticsoft repository, focusing on particle physics workflows. He developed and refined Kalman-based tracking, vertex reconstruction, and magnetic field modeling, integrating C++ and ROOT for high-fidelity geometry and data analysis. His work included modularizing Monte Carlo utilities, standardizing geometry units in GDML, and enhancing hardware integration for LAPPD and SSD systems. Through careful code refactoring, configuration management, and algorithm development, John improved maintainability, accuracy, and analysis flexibility, delivering robust solutions that streamlined experimental pipelines and enabled more reliable, reproducible results for downstream physics analyses.
Overall Statistics
Feature vs Bugs
88%Features
Repository Contributions
56Total
Bugs
3
Commits
56
Features
22
Lines of code
1,326,140
Activity Months13
Your Network
54 people
Work History
January 2026
4 Commits • 3 Features
Jan 1, 2026January 2026 monthly summary for EMPHATICSoft/emphaticsoft focusing on track truth-matching enhancements, vertex data modeling, and refactor improvements that boost MC reconstruction accuracy and maintainability.
4 Commits • 3 Features
Jan 1, 2026January 2026 monthly summary for EMPHATICSoft/emphaticsoft focusing on track truth-matching enhancements, vertex data modeling, and refactor improvements that boost MC reconstruction accuracy and maintainability.
January 2026
December 2025
5 Commits • 2 Features
Dec 1, 2025Month: 2025-12 Key features delivered: - Geometry GDML units standardization: Adds explicit units to all positions defined in the GDML geometry to improve clarity, robustness, and reduce unit-misinterpretation errors in simulations. Commits: 1b33c6d2d095f3a27b3e42e8bae10f507b251c14. - Truth data framework and vertex filler enhancements: Establishes new truth data architecture with SRBeamTrack and SRSecondaryTrack classes; enhances SSDHit truth recording; updates VertexFiller; refactors and fixes to improve traceability of simulated events. Commits: f47887a8ce8ee5fb94dc58f2871bc3054395f2ee; e40e7885fb57a941051b2c32df7db6a3783959a4; b6f0170598f282e8bc90256e897f6671ee2a9db0. - Water representation correction and cleanup: Fixes Water vs H2O naming for consistency and removes outdated files to streamline project structure. Commit: 909cdda49eefb50bc76140214d26c0a06034341d. Major bugs fixed: - Water representation consistency: ensure "Water" is consistently recorded as "H2O" and remove outdated files (git issue #258). - CAFMaker vertex filler: various fixes to improve vertex determination and momentum direction handling within truth data and vertex filler (refactors and fixes included in the SRicket work). Overall impact and accomplishments: - Significantly improved simulation reliability and data traceability through unit standardization and enhanced truth data architecture. Reduced unit-mismatch risk, streamlined project structure, and enabled more robust post-simulation analysis with richer truth information. Technologies/skills demonstrated: - GDML geometry handling and unit standardization; C++ code refactoring and data-model evolution; Geant4 process integration; truth data architecture (SRBeamTrack/SRSecondaryTrack); SSDHit enhancement; Vertex filler improvements; project cleanup and maintenance.
December 2025
5 Commits • 2 Features
Dec 1, 2025Month: 2025-12 Key features delivered: - Geometry GDML units standardization: Adds explicit units to all positions defined in the GDML geometry to improve clarity, robustness, and reduce unit-misinterpretation errors in simulations. Commits: 1b33c6d2d095f3a27b3e42e8bae10f507b251c14. - Truth data framework and vertex filler enhancements: Establishes new truth data architecture with SRBeamTrack and SRSecondaryTrack classes; enhances SSDHit truth recording; updates VertexFiller; refactors and fixes to improve traceability of simulated events. Commits: f47887a8ce8ee5fb94dc58f2871bc3054395f2ee; e40e7885fb57a941051b2c32df7db6a3783959a4; b6f0170598f282e8bc90256e897f6671ee2a9db0. - Water representation correction and cleanup: Fixes Water vs H2O naming for consistency and removes outdated files to streamline project structure. Commit: 909cdda49eefb50bc76140214d26c0a06034341d. Major bugs fixed: - Water representation consistency: ensure "Water" is consistently recorded as "H2O" and remove outdated files (git issue #258). - CAFMaker vertex filler: various fixes to improve vertex determination and momentum direction handling within truth data and vertex filler (refactors and fixes included in the SRicket work). Overall impact and accomplishments: - Significantly improved simulation reliability and data traceability through unit standardization and enhanced truth data architecture. Reduced unit-mismatch risk, streamlined project structure, and enabled more robust post-simulation analysis with richer truth information. Technologies/skills demonstrated: - GDML geometry handling and unit standardization; C++ code refactoring and data-model evolution; Geant4 process integration; truth data architecture (SRBeamTrack/SRSecondaryTrack); SSDHit enhancement; Vertex filler improvements; project cleanup and maintenance.
November 2025
4 Commits • 1 Features
Nov 1, 2025Concise monthly summary for 2025-11 focusing on business value and technical achievements. This month’s work centered on improvements to vertex reconstruction and data handling in EMPHATICSoft/emphaticsoft, delivering more accurate vertex positions, better multi-track capability, and greater output flexibility for downstream analyses. Stability and maintainability enhancements were performed in preparation for upcoming merges and broader adoption across analyses. Major bugs fixed: No major bugs were reported this month. Stability improvements and refactors were performed to reduce risk during merges and to improve code health. Overall impact and accomplishments: Delivered enhanced vertex reconstruction with support for single and multiple tracks, introduced the VertexAutre class (extending SRVertex), and enabled configurable alternate text output. Updated CAFMaker/StandardRecord to incorporate momentum and position attributes, ensuring accurate vertex positioning and richer data for physics analyses. The work improves analysis reliability, reproducibility, and downstream physics results, while strengthening the codebase against merge risks. Technologies/skills demonstrated: C++ class design and inheritance (VertexAutre from SRVertex), data modeling for physics attributes (momentum/position in CAFMaker/StandardRecord), multi-track vertex finding logic, configurable analysis text output, and strong version-control hygiene (state-saving before merges, progress saves).
4 Commits • 1 Features
Nov 1, 2025Concise monthly summary for 2025-11 focusing on business value and technical achievements. This month’s work centered on improvements to vertex reconstruction and data handling in EMPHATICSoft/emphaticsoft, delivering more accurate vertex positions, better multi-track capability, and greater output flexibility for downstream analyses. Stability and maintainability enhancements were performed in preparation for upcoming merges and broader adoption across analyses. Major bugs fixed: No major bugs were reported this month. Stability improvements and refactors were performed to reduce risk during merges and to improve code health. Overall impact and accomplishments: Delivered enhanced vertex reconstruction with support for single and multiple tracks, introduced the VertexAutre class (extending SRVertex), and enabled configurable alternate text output. Updated CAFMaker/StandardRecord to incorporate momentum and position attributes, ensuring accurate vertex positioning and richer data for physics analyses. The work improves analysis reliability, reproducibility, and downstream physics results, while strengthening the codebase against merge risks. Technologies/skills demonstrated: C++ class design and inheritance (VertexAutre from SRVertex), data modeling for physics attributes (momentum/position in CAFMaker/StandardRecord), multi-track vertex finding logic, configurable analysis text output, and strong version-control hygiene (state-saving before merges, progress saves).
November 2025
October 2025
1 Commits • 1 Features
Oct 1, 2025Month 2025-10: EMPHATICSoft/emphaticsoft vector API modernization. Upgraded 3D vector handling by replacing deprecated TVector3 with ROOT::Math::XYZVector across modules, improving performance, maintainability, and ROOT compatibility. Migration tracked in commit e7db2987e89e7e94b7fb32d79ace0a2b48f3d1b7. Major bugs fixed: none reported; focus was on feature upgrade and stability. Overall impact: reduced deprecation risk, smoother ROOT upgrades, and a healthier, future-proof codebase. Technologies demonstrated: C++, ROOT library, ROOT::Math, deprecation migration, cross-module refactoring, and traceable commits.
October 2025
1 Commits • 1 Features
Oct 1, 2025Month 2025-10: EMPHATICSoft/emphaticsoft vector API modernization. Upgraded 3D vector handling by replacing deprecated TVector3 with ROOT::Math::XYZVector across modules, improving performance, maintainability, and ROOT compatibility. Migration tracked in commit e7db2987e89e7e94b7fb32d79ace0a2b48f3d1b7. Major bugs fixed: none reported; focus was on feature upgrade and stability. Overall impact: reduced deprecation risk, smoother ROOT upgrades, and a healthier, future-proof codebase. Technologies demonstrated: C++, ROOT library, ROOT::Math, deprecation migration, cross-module refactoring, and traceable commits.
September 2025
4 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for EMPHATICSoft/emphaticsoft: Delivered a comprehensive vertex system enhancement and Monte Carlo integration workflow, improving tracking accuracy, modularity, and configurability. Key architectural changes include: vertex classes and ownership of tracks; a new vertex reconstruction package using closest-approach; Monte Carlo workflow support via CAFMaker configuration; refactoring MC utilities into a dedicated MCUtils package to reduce circular dependencies; cleanup of RecoUtils. Implemented a simple vertex reco package whose algorithm finds the position of closest approach for a vector of tracks. These changes enable more accurate vertexing, easier maintenance, and accelerated Monte Carlo studies. Impact: higher-quality reconstruction, more configurable pipelines, and a cleaner codebase. No critical bugs reported; stability and maintainability improvements were the primary focus. Technologies/skills demonstrated: C++, vertexing algorithms, Monte Carlo workflows, modular refactoring, package organization, software architecture, CAFMaker configuration, RecoUtils/MCUtils refactoring.
4 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for EMPHATICSoft/emphaticsoft: Delivered a comprehensive vertex system enhancement and Monte Carlo integration workflow, improving tracking accuracy, modularity, and configurability. Key architectural changes include: vertex classes and ownership of tracks; a new vertex reconstruction package using closest-approach; Monte Carlo workflow support via CAFMaker configuration; refactoring MC utilities into a dedicated MCUtils package to reduce circular dependencies; cleanup of RecoUtils. Implemented a simple vertex reco package whose algorithm finds the position of closest approach for a vector of tracks. These changes enable more accurate vertexing, easier maintenance, and accelerated Monte Carlo studies. Impact: higher-quality reconstruction, more configurable pipelines, and a cleaner codebase. No critical bugs reported; stability and maintainability improvements were the primary focus. Technologies/skills demonstrated: C++, vertexing algorithms, Monte Carlo workflows, modular refactoring, package organization, software architecture, CAFMaker configuration, RecoUtils/MCUtils refactoring.
September 2025
August 2025
16 Commits • 3 Features
Aug 1, 2025August 2025: The emphaticsoft team advanced key hardware integration, flexible geometry management, and analysis tooling, delivering robust support for Phase 2 configurations and improved simulation throughput. The month focused on enabling direct hardware-software integration, enhancing configuration flexibility, and strengthening stability of the build and data-processing pipeline, with a measurable impact on experimentation readiness and data quality.
August 2025
16 Commits • 3 Features
Aug 1, 2025August 2025: The emphaticsoft team advanced key hardware integration, flexible geometry management, and analysis tooling, delivering robust support for Phase 2 configurations and improved simulation throughput. The month focused on enabling direct hardware-software integration, enhancing configuration flexibility, and strengthening stability of the build and data-processing pipeline, with a measurable impact on experimentation readiness and data quality.
July 2025
5 Commits • 2 Features
Jul 1, 2025July 2025 monthly summary for EMPHATICSoft/emphaticsoft focusing on delivering data-driven alignment capabilities and repo hygiene to accelerate accurate geometry modeling across runs.
5 Commits • 2 Features
Jul 1, 2025July 2025 monthly summary for EMPHATICSoft/emphaticsoft focusing on delivering data-driven alignment capabilities and repo hygiene to accelerate accurate geometry modeling across runs.
July 2025
May 2025
6 Commits • 3 Features
May 1, 2025May 2025 was focused on strengthening Kalman-based tracking, refining beam tuning workflows, and improving repository maintainability. Delivered substantial Kalman filter enhancements, integrated RunHistory-driven beam momentum tuning, and completed KalmanReco cleanup with a new single-track reconstruction module. These efforts collectively improved track reconstruction accuracy, provided more precise beam profiles for critical runs, and established a cleaner, more maintainable codebase ready for mainline integration.
May 2025
6 Commits • 3 Features
May 1, 2025May 2025 was focused on strengthening Kalman-based tracking, refining beam tuning workflows, and improving repository maintainability. Delivered substantial Kalman filter enhancements, integrated RunHistory-driven beam momentum tuning, and completed KalmanReco cleanup with a new single-track reconstruction module. These efforts collectively improved track reconstruction accuracy, provided more precise beam profiles for critical runs, and established a cleaner, more maintainable codebase ready for mainline integration.
April 2025
3 Commits • 1 Features
Apr 1, 2025April 2025: Delivered a Kalman-based reconstruction pathway within EMPHATICSoft/emphaticsoft, introducing SingleTrackKalmanReco for single-particle track reconstruction. Implemented Kalman filter refinements to support bidirectional measurements and improved state extrapolation. Completed initial integration with code cleanup and compile readiness; testing to follow. Business impact: enables more accurate, faster validation of single-particle events and strengthens the foundation for future multi-particle tracking.
3 Commits • 1 Features
Apr 1, 2025April 2025: Delivered a Kalman-based reconstruction pathway within EMPHATICSoft/emphaticsoft, introducing SingleTrackKalmanReco for single-particle track reconstruction. Implemented Kalman filter refinements to support bidirectional measurements and improved state extrapolation. Completed initial integration with code cleanup and compile readiness; testing to follow. Business impact: enables more accurate, faster validation of single-particle events and strengthens the foundation for future multi-particle tracking.
April 2025
March 2025
4 Commits • 2 Features
Mar 1, 2025March 2025 performance summary for EMPHATICSoft/emphaticsoft. Focused on delivering LAPPD data support and strengthening code safety, with measurable business value in end-to-end data processing readiness and reduced risk in production workflows. Key outcomes include the introduction of LAPPD data representation and geometry extensions, along with code quality and safety improvements that reduce maintenance burden and prevent memory-related issues.
March 2025
4 Commits • 2 Features
Mar 1, 2025March 2025 performance summary for EMPHATICSoft/emphaticsoft. Focused on delivering LAPPD data support and strengthening code safety, with measurable business value in end-to-end data processing readiness and reduced risk in production workflows. Key outcomes include the introduction of LAPPD data representation and geometry extensions, along with code quality and safety improvements that reduce maintenance burden and prevent memory-related issues.
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 Monthly Summary — EMPHATICSoft/emphaticsoft Key objective: Improve magnetic field calculation fidelity and align field maps with the 3D geometry, while ensuring unit consistency and easier maintainability. Delivered a major enhancement to magnetic field calculations by integrating Root TH3F field maps with tri-linear interpolation (1 mm step) and updating configuration, coupled with geometry refinements to store 3D magnet center coordinates and enforce correct units for B-field calculations. This directly increases simulation accuracy and reduces post-processing debugging for field-related results.
2 Commits • 1 Features
Feb 1, 2025February 2025 Monthly Summary — EMPHATICSoft/emphaticsoft Key objective: Improve magnetic field calculation fidelity and align field maps with the 3D geometry, while ensuring unit consistency and easier maintainability. Delivered a major enhancement to magnetic field calculations by integrating Root TH3F field maps with tri-linear interpolation (1 mm step) and updating configuration, coupled with geometry refinements to store 3D magnet center coordinates and enforce correct units for B-field calculations. This directly increases simulation accuracy and reduces post-processing debugging for field-related results.
February 2025
June 2024
1 Commits • 1 Features
Jun 1, 2024June 2024: Delivered SSD Data Processing Enhancements for EMPHATICSoft/emphaticsoft, introducing new parameters for data unpacking, improved histogram creation for SSD data, and refined time correlation calculations between fragments and SSDs. The feature aims to increase data processing accuracy and reduce analysis time for SSD datasets. Commit included: 2a053f461ce27876c42e6bf0bdb343831c0e4f02 with message 'Saving progress.'
June 2024
1 Commits • 1 Features
Jun 1, 2024June 2024: Delivered SSD Data Processing Enhancements for EMPHATICSoft/emphaticsoft, introducing new parameters for data unpacking, improved histogram creation for SSD data, and refined time correlation calculations between fragments and SSDs. The feature aims to increase data processing accuracy and reduce analysis time for SSD datasets. Commit included: 2a053f461ce27876c42e6bf0bdb343831c0e4f02 with message 'Saving progress.'
September 2023
1 Commits • 1 Features
Sep 1, 2023Month 2023-09 – EMPHATICSoft/emphaticsoft: Delivered a key timing-related feature for raw data unpacking, improving data analysis capabilities and timing accuracy. No additional major features or bugs were documented for this period beyond the committed work. Overall impact includes enhanced data quality, faster analysis readiness, and clearer timing information for downstream workflows. Demonstrated solid technical execution in data processing, timing correction algorithms, and version-controlled development.
1 Commits • 1 Features
Sep 1, 2023Month 2023-09 – EMPHATICSoft/emphaticsoft: Delivered a key timing-related feature for raw data unpacking, improving data analysis capabilities and timing accuracy. No additional major features or bugs were documented for this period beyond the committed work. Overall impact includes enhanced data quality, faster analysis readiness, and clearer timing information for downstream workflows. Demonstrated solid technical execution in data processing, timing correction algorithms, and version-controlled development.
September 2023
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Quality Metrics
Correctness84.2%
Maintainability82.6%
Architecture79.8%
Performance75.4%
AI Usage23.2%
Skills & Technologies
Programming Languages
CC++CMakeFCLGDMLPerlROOTTextXMLfcl
Technical Skills
Algorithm DevelopmentAlgorithm ImplementationBug FixingBuild SystemBuild System IntegrationC++C++ DevelopmentC++ developmentC++ programmingCMakeCode CleanupCode RefactoringConfigurationConfiguration ManagementData Analysis
Repositories Contributed To
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