AliceO2Group/O2Physics
Nov 2024 – Feb 2025
2 Months active
Languages Used
C++
Technical Skills
C++Data AnalysisHigh Energy PhysicsMachine LearningSoftware DevelopmentC++ Development
JaeyoonCho
PROFILE
Jaeyooncho
Over a two-month period, contributed to the AliceO2Group/O2Physics repository by developing machine learning-based candidate selection for XicToXiPiPi analysis within the PWGHF framework. Integrated a new C++ class for ML feature extraction and inference, enabling flexible model loading from CCDB or local files and supporting reproducible workflows. Expanded ML-ready data by adding THnSparse axes to distinguish prompt and non-prompt BDT scores, improving downstream analytics. Addressed Monte Carlo matching and vertexing precision, refining impact-parameter calculations to enhance candidate selection accuracy. Demonstrated expertise in C++, data analysis, and high energy physics, delivering reusable, production-ready solutions for ML-driven particle physics workflows.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
432
Activity Months2
Your Network
142 peopleShared Repositories
142
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Work History
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 performance summary for AliceO2Group/O2Physics. Focused on Xic analysis improvements through ML-ready data expansion and critical fixes to MC matching and vertexing. Demonstrated impact on data quality and ML readiness, with direct benefits to physics candidate selection and downstream analytics.
2 Commits • 1 Features
Feb 1, 2025February 2025 performance summary for AliceO2Group/O2Physics. Focused on Xic analysis improvements through ML-ready data expansion and critical fixes to MC matching and vertexing. Demonstrated impact on data quality and ML readiness, with direct benefits to physics candidate selection and downstream analytics.
February 2025
November 2024
1 Commits • 1 Features
Nov 1, 2024Month 2024-11 – Key accomplishments in AliceO2Group/O2Physics (PWGHF): Delivered ML-based XicToXiPiPi candidate selection within PWGHF. Introduced HfMlResponseXicToXiPiPi to perform ML feature extraction and inference and integrated it into the taskXicToXiPiPi analysis task. Enabled loading ML models from CCDB or local files for flexible deployment. Major bugs fixed: none reported for this repository this month. Overall impact: enhances Xic candidate selection quality and workflow efficiency, providing a reusable ML-enabled path in PWGHF and a solid foundation for ML-driven analyses. Technologies/skills demonstrated: ML integration in HEP pipelines, C++/ROOT, CCDB I/O, model loading from multiple sources, software design, and version control traceability (commit fe5032f7b3e4ac568fd92d8e478d5e19c9498c97).
November 2024
1 Commits • 1 Features
Nov 1, 2024Month 2024-11 – Key accomplishments in AliceO2Group/O2Physics (PWGHF): Delivered ML-based XicToXiPiPi candidate selection within PWGHF. Introduced HfMlResponseXicToXiPiPi to perform ML feature extraction and inference and integrated it into the taskXicToXiPiPi analysis task. Enabled loading ML models from CCDB or local files for flexible deployment. Major bugs fixed: none reported for this repository this month. Overall impact: enhances Xic candidate selection quality and workflow efficiency, providing a reusable ML-enabled path in PWGHF and a solid foundation for ML-driven analyses. Technologies/skills demonstrated: ML integration in HEP pipelines, C++/ROOT, CCDB I/O, model loading from multiple sources, software design, and version control traceability (commit fe5032f7b3e4ac568fd92d8e478d5e19c9498c97).
Activity
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Quality Metrics
Correctness86.6%
Maintainability83.4%
Architecture83.4%
Performance73.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
C++C++ DevelopmentData AnalysisHigh Energy PhysicsMachine LearningMonte Carlo SimulationParticle PhysicsSoftware Development
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