sPHENIX-Collaboration/analysis
Apr 2025 – Apr 2025
1 Month active
Languages Used
C++MakefileShell
Technical Skills
C++ DevelopmentData AnalysisPhysics AnalysisROOT FrameworkSoftware Engineering
rosstom
PROFILE
Rosstom
During April 2025, Ross Tom developed the TagAndProbe Data Analysis Module for the sPHENIX-Collaboration/analysis repository, establishing a complete pipeline for track-based physics studies. He designed and implemented a C++ macro that performs data processing, kinematic selections, and invariant mass fitting, leveraging the ROOT framework for efficient analysis. The module features a modular source and header structure, supporting collaboration and future extension. By enabling end-to-end data analysis, Ross’s work accelerates data-driven decision-making and increases study throughput. His engineering approach emphasized reusable, maintainable code, demonstrating skills in C++ development, data analysis, and physics analysis within a research-driven software environment.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
1,668
Activity Months1
Your Network
64 people
Work History
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%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++MakefileShell
Technical Skills
C++ DevelopmentData AnalysisPhysics AnalysisROOT FrameworkSoftware Engineering
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