
Yalin contributed to the AliceO2Group/O2Physics repository by developing and enhancing analysis modules for high energy and particle physics data. Over three months, Yalin extended strangeness correlation analysis to Pb-Pb collisions, implementing new configurations and selection criteria in C++ to align with existing pp workflows and improve data filtering reliability. He delivered comprehensive energy correlator analysis features, expanding histogram support and refactoring analysis variables to streamline code maintainability. Yalin also introduced advanced configuration options, random phi transformations, and transverse-range parameters, increasing the robustness and flexibility of physics analyses. His work demonstrated depth in C++ development, data analysis, and scientific computing.

January 2026 monthly summary for AliceO2Group/O2Physics: Delivered energy correlator analysis enhancements including new histograms, expanded configuration options, VarManager logic for random phi transformations, transverse-range parameters, and dilepton fill logic. The work spans multiple commits and consolidates improvements to robustness, configurability, and analysis accuracy, enabling faster iteration and more reliable physics results.
January 2026 monthly summary for AliceO2Group/O2Physics: Delivered energy correlator analysis enhancements including new histograms, expanded configuration options, VarManager logic for random phi transformations, transverse-range parameters, and dilepton fill logic. The work spans multiple commits and consolidates improvements to robustness, configurability, and analysis accuracy, enabling faster iteration and more reliable physics results.
November 2025 – AliceO2Group/O2Physics: Delivered substantial energy correlator analysis capabilities, expanding histograms and analysis functions, and updated analysis variables. Streamlined the codebase by removing obsolete variables, improving maintainability and readiness for PWGDQ energy-correlation studies. No major bug fixes were recorded this month for this repository. Business value: enables more precise energy-correlator physics analyses, faster iteration cycles, and clearer data-driven insights while reducing technical debt. Technologies/skills demonstrated: C++ within the O2Physics framework, histogram-based analysis, code refactoring, variable management, and collaborative PWGDQ workflow.
November 2025 – AliceO2Group/O2Physics: Delivered substantial energy correlator analysis capabilities, expanding histograms and analysis functions, and updated analysis variables. Streamlined the codebase by removing obsolete variables, improving maintainability and readiness for PWGDQ energy-correlation studies. No major bug fixes were recorded this month for this repository. Business value: enables more precise energy-correlator physics analyses, faster iteration cycles, and clearer data-driven insights while reducing technical debt. Technologies/skills demonstrated: C++ within the O2Physics framework, histogram-based analysis, code refactoring, variable management, and collaborative PWGDQ workflow.
May 2025 monthly summary for O2Physics: Delivered Pb-Pb Strangeness Correlation Analysis extension and resolved critical analysis logic bugs, strengthening Pb-Pb physics capabilities and data quality. Implemented V0 and cascade analysis in Pb-Pb data with new configurations and selection criteria, aligning with existing pp workflows for cross-system comparisons. Fixed logical errors in hStrangeCorrelation.cxx and hStrangeCorrelationFilter.cxx to correct collision selection and simplify analysis conditions, improving data filtering reliability.
May 2025 monthly summary for O2Physics: Delivered Pb-Pb Strangeness Correlation Analysis extension and resolved critical analysis logic bugs, strengthening Pb-Pb physics capabilities and data quality. Implemented V0 and cascade analysis in Pb-Pb data with new configurations and selection criteria, aligning with existing pp workflows for cross-system comparisons. Fixed logical errors in hStrangeCorrelation.cxx and hStrangeCorrelationFilter.cxx to correct collision selection and simplify analysis conditions, improving data filtering reliability.
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