star-bnl/star-sw
Jan 2025 – Jun 2026
9 Months active
Languages Used
C++
Technical Skills
C++Data StructuresData structuresLow-level programmingObject-Oriented ProgrammingSoftware Engineering
Daniel Brandenburg
PROFILE
Daniel Brandenburg
Over a nine-month period, contributed to the star-bnl/star-sw repository by engineering forward-tracking features, enhancing data integrity, and improving memory management for high energy physics workflows. Developed robust C++ data structures and implemented bit manipulation techniques to optimize track classification and storage efficiency. Addressed critical bugs in hardware mapping, database management, and memory leaks, ensuring stable large-scale data processing. Integrated forward detector data into the PicoDst format and streamlined logging for production diagnostics. The work emphasized low-level programming, error handling, and cross-team collaboration, resulting in more reliable simulations, efficient analysis pipelines, and maintainable software for physics data analysis and simulation.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
13Total
Bugs
4
Commits
13
Features
8
Lines of code
16,097
Activity Months9
Your Network
4 peopleShared Repositories
4
Work History
June 2026
1 Commits
Jun 1, 2026June 2026 monthly summary for star-sw: Focused on memory safety in StPicoDstMaker, delivering a critical memory-leak fix that enhances stability for large-scale analyses and long-running data processing pipelines.
1 Commits
Jun 1, 2026June 2026 monthly summary for star-sw: Focused on memory safety in StPicoDstMaker, delivering a critical memory-leak fix that enhances stability for large-scale analyses and long-running data processing pipelines.
June 2026
May 2026
1 Commits • 1 Features
May 1, 2026May 2026 — Star-sw: Production Logging Performance Enhancement for Fwdtracker. Reduced production log verbosity by changing default log level from INFO to DEBUG and routed stdout/stderr to a centralized logging system. Implemented across FwdTracker.h, TrackFitter.h, GenfitTrackResult.h, and FitterUtils.h; commit 3449348b18ed7cfc390fcdf258ce5a4ecdb8b8d8. Co-authored by Akio Ogawa, Claude Opus 4.7, and Dmitri Smirnov. Impact: lowers log noise, reduces CPU/I/O overhead, enabling faster diagnostics in production. Skills: C++ logging architecture, refactoring, performance optimization, cross-functional collaboration.
May 2026
1 Commits • 1 Features
May 1, 2026May 2026 — Star-sw: Production Logging Performance Enhancement for Fwdtracker. Reduced production log verbosity by changing default log level from INFO to DEBUG and routed stdout/stderr to a centralized logging system. Implemented across FwdTracker.h, TrackFitter.h, GenfitTrackResult.h, and FitterUtils.h; commit 3449348b18ed7cfc390fcdf258ce5a4ecdb8b8d8. Co-authored by Akio Ogawa, Claude Opus 4.7, and Dmitri Smirnov. Impact: lowers log noise, reduces CPU/I/O overhead, enabling faster diagnostics in production. Skills: C++ logging architecture, refactoring, performance optimization, cross-functional collaboration.
December 2025
1 Commits
Dec 1, 2025December 2025 — Star SW: Stabilized STGC production workflow by delivering a critical bug fix for the STGC database hardware mapping and data window indexing, enabling reliable Run22 production tests and stronger data integrity for physics workflows. Implemented schema and indexing corrections to align with production tests, switching to correct data window table usage and resolving a mix-up between geometry-based and hardware-based mapping. Validated the fix through the production test chain (root4star -b -q -l and targeted test cases) and observed no warning messages related to time cut or mapping logic. This work reduces production risk, improves reproducibility of results, and strengthens the platform for ongoing data taking and analysis.
1 Commits
Dec 1, 2025December 2025 — Star SW: Stabilized STGC production workflow by delivering a critical bug fix for the STGC database hardware mapping and data window indexing, enabling reliable Run22 production tests and stronger data integrity for physics workflows. Implemented schema and indexing corrections to align with production tests, switching to correct data window table usage and resolving a mix-up between geometry-based and hardware-based mapping. Validated the fix through the production test chain (root4star -b -q -l and targeted test cases) and observed no warning messages related to time cut or mapping logic. This work reduces production risk, improves reproducibility of results, and strengthens the platform for ongoing data taking and analysis.
December 2025
October 2025
1 Commits • 1 Features
Oct 1, 2025In October 2025, delivered Forward detector data integration into PicoDst, establishing end-to-end support and aligning data formats with the PicoDst ecosystem. The work includes new data models, pipeline updates, and groundwork for Forward analytics.
October 2025
1 Commits • 1 Features
Oct 1, 2025In October 2025, delivered Forward detector data integration into PicoDst, establishing end-to-end support and aligning data formats with the PicoDst ecosystem. The work includes new data models, pipeline updates, and groundwork for Forward analytics.
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for star-bnl/star-sw: Delivered a production-ready Forward Tracking upgrade for Run22 with data-source integration and performance improvements. Refactored hit loading to support GEANT, StEvent, and MuDst sources for FTT, FST, and EPD detectors; optimized memory usage; improved seeding and fitting configurations; and reduced runtime logging overhead using constexpr flags.
1 Commits • 1 Features
Sep 1, 2025September 2025 monthly summary for star-bnl/star-sw: Delivered a production-ready Forward Tracking upgrade for Run22 with data-source integration and performance improvements. Refactored hit loading to support GEANT, StEvent, and MuDst sources for FTT, FST, and EPD detectors; optimized memory usage; improved seeding and fitting configurations; and reduced runtime logging overhead using constexpr flags.
September 2025
June 2025
2 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for star-sw: Delivered two core improvements in star-bnl/star-sw, enhancing robustness and data-structure efficiency. (1) Robustness for incomplete MuDst data in StMuDst2StEventMaker: added null checks for mInfo and its entries in StMuFmsCollection.cxx and for RHICf data in StMuRHICfUtil.cxx to prevent crashes when Fms and RHICf Utils encounter missing data. (2) Forward track data structure enhancements: introduced mGlobalTrackIndex in StFwdTrack to store the global track index for refitted tracks and extended mVtxIndex to encode both track type and vertex index using bit manipulation, with helper functions to set/extract values to improve track classification and storage efficiency. These changes reduce runtime crashes, improve downstream data processing reliability, and enable more efficient analysis workflows. Commit references included for traceability: 672887d9de74a5bdf4a5505b474a34631e27a2ea; 8347633a41fd62a93b4447376f797cebf89346d2.
June 2025
2 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for star-sw: Delivered two core improvements in star-bnl/star-sw, enhancing robustness and data-structure efficiency. (1) Robustness for incomplete MuDst data in StMuDst2StEventMaker: added null checks for mInfo and its entries in StMuFmsCollection.cxx and for RHICf data in StMuRHICfUtil.cxx to prevent crashes when Fms and RHICf Utils encounter missing data. (2) Forward track data structure enhancements: introduced mGlobalTrackIndex in StFwdTrack to store the global track index for refitted tracks and extended mVtxIndex to encode both track type and vertex index using bit manipulation, with helper functions to set/extract values to improve track classification and storage efficiency. These changes reduce runtime crashes, improve downstream data processing reliability, and enable more efficient analysis workflows. Commit references included for traceability: 672887d9de74a5bdf4a5505b474a34631e27a2ea; 8347633a41fd62a93b4447376f797cebf89346d2.
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025: Delivered key features for real-data analysis and improved stability for data acquisition workflows in star-bnl/star-sw. Implemented Forward Tracking Mode with FST-based seed fitting and optional Forward Tracking hits to support robust track finding and fast offline processing. Reverted unnecessary FST constants changes to stabilize constants handling, reducing risk of misconfigurations.
2 Commits • 1 Features
Mar 1, 2025March 2025: Delivered key features for real-data analysis and improved stability for data acquisition workflows in star-bnl/star-sw. Implemented Forward Tracking Mode with FST-based seed fitting and optional Forward Tracking hits to support robust track finding and fast offline processing. Reverted unnecessary FST constants changes to stabilize constants handling, reducing risk of misconfigurations.
March 2025
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for star-bnl/star-sw focused on forward-tracking feature delivery and data-quality improvements to support physics analyses and downstream processing. The work emphasizes feature delivery, data model enhancements, and alignment with the StEvent data model to enable robust forward-tracking workflows.
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for star-bnl/star-sw focused on forward-tracking feature delivery and data-quality improvements to support physics analyses and downstream processing. The work emphasizes feature delivery, data model enhancements, and alignment with the StEvent data model to enable robust forward-tracking workflows.
January 2025
2 Commits • 2 Features
Jan 1, 2025January 2025 performance summary for star-bnl/star-sw. Focused on delivering forward-tracking enhancements that improve data fidelity and memory stability. Key features delivered: 1) Forward Tracks MC Truth and Memory Management: added Monte Carlo truth fields idTruth and qaTruth to StFwdTrack and introduced a destructor for StFwdTrackCollection to ensure proper cleanup of track objects, reducing memory overhead during large-scale simulations. 2) Forward Vertex Type Support and Unified Vertex Referencing: added a new vertex type 'Fwd' in StVertex and related enumerations, enabling consistent referencing of forward and standard vertices via the primary vertex index. These changes enhance data integrity, simplify downstream analysis, and support more robust MC workflows.
2 Commits • 2 Features
Jan 1, 2025January 2025 performance summary for star-bnl/star-sw. Focused on delivering forward-tracking enhancements that improve data fidelity and memory stability. Key features delivered: 1) Forward Tracks MC Truth and Memory Management: added Monte Carlo truth fields idTruth and qaTruth to StFwdTrack and introduced a destructor for StFwdTrackCollection to ensure proper cleanup of track objects, reducing memory overhead during large-scale simulations. 2) Forward Vertex Type Support and Unified Vertex Referencing: added a new vertex type 'Fwd' in StVertex and related enumerations, enabling consistent referencing of forward and standard vertices via the primary vertex index. These changes enhance data integrity, simplify downstream analysis, and support more robust MC workflows.
January 2025
Activity
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Quality Metrics
Correctness91.6%
Maintainability87.6%
Architecture88.4%
Performance86.2%
AI Usage30.8%
Skills & Technologies
Programming Languages
C++
Technical Skills
Bit manipulationBug FixBuild SystemsC++C++ programmingConfiguration ManagementData AnalysisData ProcessingData StructuresData structuresDebuggingError HandlingHigh Energy PhysicsLoggingLow-level programming
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