AliceO2Group/O2Physics
Jan 2025 – Aug 2025
3 Months active
Languages Used
C++
Technical Skills
C++ DevelopmentData AnalysisMachine Learning Feature EngineeringParticle PhysicsSoftware DevelopmentBug Fixing
JaeYoonCHO
PROFILE
Jaeyooncho
Jaeyoon Cho contributed to the AliceO2Group/O2Physics repository by developing and enhancing data analysis features for particle physics workflows. Over three months, he expanded the PWGHF analysis framework by adding DCA variables and invariant mass calculations, enriching machine learning data pipelines, and introducing a DecayLengthMcGen column to improve signal discrimination in XicToXiPiPi studies. He addressed workflow stability by fixing a critical typo and implemented robust handling for machine learning probability vectors, reducing runtime errors. Working primarily in C++ and leveraging ROOT, Jaeyoon demonstrated depth in data processing, feature engineering, and workflow management, delivering maintainable solutions for complex physics analyses.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
3
Lines of code
176
Activity Months3
Your Network
429 people
Work History
August 2025
1 Commits • 1 Features
Aug 1, 20252025-08: Delivered XicToXiPiPi Decay Length Analysis Extension in AliceO2Group/O2Physics, adding a new DecayLengthMcGen column to store the decay length of generated particles for non-prompt charm hadrons originating from b quarks. This enriches the XicToXiPiPi analysis with richer decay information, enabling improved signal/background discrimination and more precise physics measurements. Implemented as part of commit cf8b32d953b1962abf45b8a68610768885d3539f ("[PWGHF] XicToXiPiPi: Add DecayLengthMcGen column"), linked to PR #12627.
1 Commits • 1 Features
Aug 1, 20252025-08: Delivered XicToXiPiPi Decay Length Analysis Extension in AliceO2Group/O2Physics, adding a new DecayLengthMcGen column to store the decay length of generated particles for non-prompt charm hadrons originating from b quarks. This enriches the XicToXiPiPi analysis with richer decay information, enabling improved signal/background discrimination and more precise physics measurements. Implemented as part of commit cf8b32d953b1962abf45b8a68610768885d3539f ("[PWGHF] XicToXiPiPi: Add DecayLengthMcGen column"), linked to PR #12627.
August 2025
February 2025
1 Commits
Feb 1, 2025February 2025 monthly summary for AliceO2Group/O2Physics: Implemented a stability improvement in the ML probability vector handling within the task workflow. Added a size check to prevent out-of-bounds access and ensured outputFD is assigned only when the score vector contains exactly 3 elements. These changes reduce the risk of runtime crashes and incorrect outputs in production ML inference paths, improving reliability of physics data processing pipelines.
February 2025
1 Commits
Feb 1, 2025February 2025 monthly summary for AliceO2Group/O2Physics: Implemented a stability improvement in the ML probability vector handling within the task workflow. Added a size check to prevent out-of-bounds access and ensured outputFD is assigned only when the score vector contains exactly 3 elements. These changes reduce the risk of runtime crashes and incorrect outputs in production ML inference paths, improving reliability of physics data processing pipelines.
January 2025
2 Commits • 2 Features
Jan 1, 2025January 2025 — Key contributions in AliceO2Group/O2Physics: delivered two features expanding data for PWGHF analyses and ML workflows, and implemented a critical typo fix to stabilize data reconstruction. These updates strengthen PWGHF particle reconstruction, ML-ready data quality, and data integrity across the analysis chain; showcased C++/ROOT proficiency and maintainable code practices.
2 Commits • 2 Features
Jan 1, 2025January 2025 — Key contributions in AliceO2Group/O2Physics: delivered two features expanding data for PWGHF analyses and ML workflows, and implemented a critical typo fix to stabilize data reconstruction. These updates strengthen PWGHF particle reconstruction, ML-ready data quality, and data integrity across the analysis chain; showcased C++/ROOT proficiency and maintainable code practices.
January 2025
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Quality Metrics
Correctness85.0%
Maintainability85.0%
Architecture80.0%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
Bug FixingC++ DevelopmentData AnalysisData ProcessingMachine Learning Feature EngineeringParticle PhysicsSoftware DevelopmentWorkflow Management
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