
Yakiv Paro developed and enhanced core data analysis features for the AliceO2Group/O2Physics repository, focusing on particle and hadron correlation studies in high energy physics. He expanded the hStrangeCorrelation module to support associated hadron workflows, introducing new data models and processing functions in C++. Yakiv refactored purity interpolation logic and improved cascade tracking validation, increasing processing reliability and accuracy. He also upgraded histogramming for particle-antiparticle analysis, improving data representation and analysis fidelity. His work demonstrated depth in C++ development, scientific computing, and algorithm design, resulting in more maintainable code and enabling more precise and reliable physics analyses downstream.
Month 2025-12: Delivered histogram enhancement in O2Physics to improve precision and introduced separate histograms for particle-antiparticle pairs, enhancing data representation and physics analysis fidelity. Prepared for downstream analyses and data comparisons; contributed to code quality and maintainability; PR linked to issue #14112; commit 085f5bf0cf3d1882224e4dab127e73324761a68a.
Month 2025-12: Delivered histogram enhancement in O2Physics to improve precision and introduced separate histograms for particle-antiparticle pairs, enhancing data representation and physics analysis fidelity. Prepared for downstream analyses and data comparisons; contributed to code quality and maintainability; PR linked to issue #14112; commit 085f5bf0cf3d1882224e4dab127e73324761a68a.
November 2025 (AliceO2Group/O2Physics): Core Data Processing Reliability and Performance Enhancements. Implemented a refactor of purity interpolation logic to reduce unnecessary parameters and improve clarity, and enhanced cascade tracking validation to improve the accuracy of DCA determination. Addressed two critical bugs with fixes: Purity interpolation and DCA determination for tracked cascades. This work delivers faster, more reliable data processing and more accurate cascade analyses, benefiting downstream physics analyses and overall data quality. Commit references: eaea2eff86d8936ed6db85041e4cdd60d249fbb1, dcb159813ee1f665e797c6296c0947c82edde00a.
November 2025 (AliceO2Group/O2Physics): Core Data Processing Reliability and Performance Enhancements. Implemented a refactor of purity interpolation logic to reduce unnecessary parameters and improve clarity, and enhanced cascade tracking validation to improve the accuracy of DCA determination. Addressed two critical bugs with fixes: Purity interpolation and DCA determination for tracked cascades. This work delivers faster, more reliable data processing and more accurate cascade analyses, benefiting downstream physics analyses and overall data quality. Commit references: eaea2eff86d8936ed6db85041e4cdd60d249fbb1, dcb159813ee1f665e797c6296c0947c82edde00a.
December 2024 — Delivered Associated Hadrons support for Hadron-Hadron correlations in the hStrangeCorrelation module within O2Physics. No major bugs fixed this month. The work expands data structures and processing capabilities, enabling more comprehensive hadron-hadron correlation analyses and accelerating physics insights. Demonstrated skills in data modeling, module integration, and collaborative software development (PR-driven changes, Git history).
December 2024 — Delivered Associated Hadrons support for Hadron-Hadron correlations in the hStrangeCorrelation module within O2Physics. No major bugs fixed this month. The work expands data structures and processing capabilities, enabling more comprehensive hadron-hadron correlation analyses and accelerating physics insights. Demonstrated skills in data modeling, module integration, and collaborative software development (PR-driven changes, Git history).

Overview of all repositories you've contributed to across your timeline