sPHENIX-Collaboration/analysis
Aug 2025 – Aug 2025
1 Month active
Languages Used
C++MakefileShellText
Technical Skills
C++Data AnalysisHigh Energy PhysicsParticle PhysicsROOT FrameworkShell Scripting
Yuko Sekiguchi
PROFILE
Yuko Sekiguchi
Yuko Sekiguchi developed an end-to-end particle event generation and data collection workflow for the sPHENIX-Collaboration/analysis repository, focusing on expanding simulation capabilities for high energy physics studies. Using C++ and the ROOT framework, Yuko integrated PYTHIA-based event generation with a single-particle gun, and implemented Condor job submission scripts to enable scalable batch processing. The work included adding a J/psi to electron-positron decay file to broaden physics channel coverage and integrating a silicon seed analysis module for tracking and calorimeter data collection. This foundational engineering established a robust platform for future detector performance analysis and large-scale simulation studies.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
9,977
Activity Months1
Your Network
47 people
Work History
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for sPHENIX-Collaboration/analysis. Focus this month was on delivering an end-to-end particle event generation and data collection workflow, expanding simulation capabilities and preparing batch-processing pipelines for large-scale studies. No major bugs were reported; ongoing issues are tracked separately as needed. The work lays a strong foundation for physics channel studies and detector performance analyses.
1 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for sPHENIX-Collaboration/analysis. Focus this month was on delivering an end-to-end particle event generation and data collection workflow, expanding simulation capabilities and preparing batch-processing pipelines for large-scale studies. No major bugs were reported; ongoing issues are tracked separately as needed. The work lays a strong foundation for physics channel studies and detector performance analyses.
August 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++MakefileShellText
Technical Skills
C++Data AnalysisHigh Energy PhysicsParticle PhysicsROOT FrameworkShell ScriptingSimulation
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