star-bnl/star-sw
Jan 2025 – Oct 2025
6 Months active
Languages Used
C++
Technical Skills
C++Data StructuresData structuresLow-level programmingObject-Oriented ProgrammingSoftware Engineering
Daniel Brandenburg
PROFILE
Daniel Brandenburg
Dan Burg developed and integrated advanced forward-tracking features for the star-bnl/star-sw repository, focusing on robust data models and efficient processing for high energy physics workflows. Over six months, he enhanced C++ data structures to support Monte Carlo truth, unified vertex referencing, and bit manipulation for compact track classification. His work included refactoring hit loading to accommodate multiple data sources, optimizing memory management, and implementing error handling for incomplete datasets. By aligning new features with existing event models and extending support to PicoDst formats, Dan enabled reliable downstream analysis and streamlined data integration, demonstrating depth in low-level programming and software engineering.
Overall Statistics
Feature vs Bugs
78%Features
Repository Contributions
10Total
Bugs
2
Commits
10
Features
7
Lines of code
15,959
Activity Months6
Your Network
4 peopleShared Repositories
4
Work History
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.
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
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.
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.
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.
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
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.
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.
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.
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
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.
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.
Activity
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Quality Metrics
Correctness91.0%
Maintainability88.0%
Architecture89.0%
Performance84.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
Bit manipulationBug FixBuild SystemsC++Configuration ManagementData AnalysisData ProcessingData StructuresData structuresError HandlingHigh Energy PhysicsLow-level programmingObject-Oriented ProgrammingPhysics Data AnalysisPhysics Simulation
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