sPHENIX-Collaboration/analysis
Apr 2025 – Jun 2026
3 Months active
Languages Used
C++MakefileShellBash
Technical Skills
C++ DevelopmentData AnalysisPhysics AnalysisROOT FrameworkSoftware EngineeringC++ programming
rosstom
PROFILE
Rosstom
Over three months, contributed to the sPHENIX-Collaboration/analysis repository by developing three end-to-end features for particle physics data analysis. Built a TagAndProbe Data Analysis Module using C++ and the ROOT Framework, enabling streamlined track-based studies with modular macros for kinematic selection and invariant-mass fitting. Implemented Lambdapi particle reconstruction from list files, introducing robust input management and parameterization to support batch processing and reproducible workflows. Delivered cascade analysis visualization and formatting, adding graphical data representations and standardized configuration files to improve workflow consistency. Demonstrated expertise in C++, bash scripting, and data analysis, focusing on reusable, collaboration-ready code and scalable research pipelines.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
3
Lines of code
16,351,281
Activity Months3
Your Network
75 peopleShared Repositories
49
ahodges21Member
Antonio SilvaMember
aopattonMember
bkimelmanMember
cdean-githubMember
Mickey ChiuMember
Cheng-Wei ShihMember
Derek M AndersonMember
Daniel J LisMember
Work History
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for developer performance: Delivered Cascade Analysis Visualization and Formatting in sPHENIX-Collaboration/analysis. The feature adds graphical representations of cascade data and a formatting/ignore configuration to streamline analysis workflows, reducing manual effort and improving reproducibility. The work lays groundwork for scalable cascade analysis and accelerates downstream research.
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for developer performance: Delivered Cascade Analysis Visualization and Formatting in sPHENIX-Collaboration/analysis. The feature adds graphical representations of cascade data and a formatting/ignore configuration to streamline analysis workflows, reducing manual effort and improving reproducibility. The work lays groundwork for scalable cascade analysis and accelerates downstream research.
June 2026
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for sPHENIX-Collaboration/analysis: Delivered Lambdapi Particle Reconstruction Using List Files, enabling reconstruction of Lambdapi particles from list files with robust input management, parameterization, and output directory handling. The feature lays groundwork for batch processing and reproducible workflows by encapsulating reconstruction logic for a new particle type within the repository.
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for sPHENIX-Collaboration/analysis: Delivered Lambdapi Particle Reconstruction Using List Files, enabling reconstruction of Lambdapi particles from list files with robust input management, parameterization, and output directory handling. The feature lays groundwork for batch processing and reproducible workflows by encapsulating reconstruction logic for a new particle type within the repository.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 — Delivered the TagAndProbe Data Analysis Module in sPHENIX-Collaboration/analysis, establishing an end-to-end data analysis pipeline for track-based physics studies. Major bugs fixed: none reported this month for this repo. Overall impact: provides a reusable analysis module that accelerates data-driven decision-making and study throughput. Technologies/skills demonstrated: C++ macro development, track data handling, kinematic selections, invariant-mass fitting, modular design, and collaboration-ready source/header structure.
1 Commits • 1 Features
Apr 1, 2025April 2025 — Delivered the TagAndProbe Data Analysis Module in sPHENIX-Collaboration/analysis, establishing an end-to-end data analysis pipeline for track-based physics studies. Major bugs fixed: none reported this month for this repo. Overall impact: provides a reusable analysis module that accelerates data-driven decision-making and study throughput. Technologies/skills demonstrated: C++ macro development, track data handling, kinematic selections, invariant-mass fitting, modular design, and collaboration-ready source/header structure.
April 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance76.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
BashC++MakefileShell
Technical Skills
C++ DevelopmentC++ programmingData AnalysisPhysics AnalysisROOT FrameworkSoftware Engineeringbash scriptingdata analysisgraphical representationparticle physics
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