
Over eight months, contributed to the AliceO2Group/O2Physics repository by developing and enhancing advanced analysis modules for high energy and particle physics studies. Built features such as energy correlator analysis, dilepton–hadron correlation tools, and configurable selection criteria, focusing on robust data filtering and improved analysis accuracy. Applied C++ and scientific computing techniques to implement histogram management, algorithm optimization, and data processing pipelines. Addressed critical bugs affecting event selection and data quality, ensuring reliable physics results. Collaborated on code refactoring, configuration enhancements, and workflow integration, resulting in maintainable, flexible analysis infrastructure supporting reproducible research and streamlined physics analysis workflows.
June 2026 monthly summary for AliceO2Group/O2Physics. Focused on advancing dilepton analysis capabilities by introducing a configurable Tauxy cut to select non-prompt J/psi, accompanied by data structure and filtering logic updates. No major bugs fixed this month. Overall impact: improved analysis purity and robustness; the changes enable more precise non-prompt J/psi studies and streamline physics workflows. Technologies demonstrated: C++ code changes, configurable cuts, data structure design, and collaborative development across the team.
June 2026 monthly summary for AliceO2Group/O2Physics. Focused on advancing dilepton analysis capabilities by introducing a configurable Tauxy cut to select non-prompt J/psi, accompanied by data structure and filtering logic updates. No major bugs fixed this month. Overall impact: improved analysis purity and robustness; the changes enable more precise non-prompt J/psi studies and streamline physics workflows. Technologies demonstrated: C++ code changes, configurable cuts, data structure design, and collaborative development across the team.
May 2026: Energy Correlator study enhancements delivered in AliceO2Group/O2Physics, adding new configurations for generated pair signals and updated histogram definitions to improve analysis capabilities. Commit cc910ed49d1ffcb35b04bf7cac85abf3c448f202 (co-authored by Cape) linked to PR #16199. No major bugs fixed this period; focus remained on delivering flexible, data-driven analysis features and preparing for integration.
May 2026: Energy Correlator study enhancements delivered in AliceO2Group/O2Physics, adding new configurations for generated pair signals and updated histogram definitions to improve analysis capabilities. Commit cc910ed49d1ffcb35b04bf7cac85abf3c448f202 (co-authored by Cape) linked to PR #16199. No major bugs fixed this period; focus remained on delivering flexible, data-driven analysis features and preparing for integration.
April 2026: Focused on delivering robust enhancements to the Energy Correlator Analysis and fixing critical interpolation parameter usage to improve accuracy and reliability of dilepton–hadron energy correlations in the O2Physics repo. This work strengthens physics reach, reproducibility, and code quality across measurements.
April 2026: Focused on delivering robust enhancements to the Energy Correlator Analysis and fixing critical interpolation parameter usage to improve accuracy and reliability of dilepton–hadron energy correlations in the O2Physics repo. This work strengthens physics reach, reproducibility, and code quality across measurements.
March 2026 monthly summary for AliceO2Group/O2Physics: Key feature delivered — Energy Correlator Analysis Module with initial capabilities to compute energy correlations between dileptons and hadrons, with ongoing enhancements for particle-type checks, refined event selection, lepton containment options, and improved histograms. Major bug fixed — corrected event selection errors in the energy correlator workflow, removed unnecessary dependencies, and streamlined the analysis pipeline for reliability and performance. Overall impact — improved reliability and performance of energy-correlator analysis, enabling more accurate physics insights and faster production runs. Technologies/skills — C++ module development (dqEnergyCorrelator_direct.cxx), code maintenance, Git-driven collaboration, and performance-oriented refinements.
March 2026 monthly summary for AliceO2Group/O2Physics: Key feature delivered — Energy Correlator Analysis Module with initial capabilities to compute energy correlations between dileptons and hadrons, with ongoing enhancements for particle-type checks, refined event selection, lepton containment options, and improved histograms. Major bug fixed — corrected event selection errors in the energy correlator workflow, removed unnecessary dependencies, and streamlined the analysis pipeline for reliability and performance. Overall impact — improved reliability and performance of energy-correlator analysis, enabling more accurate physics insights and faster production runs. Technologies/skills — C++ module development (dqEnergyCorrelator_direct.cxx), code maintenance, Git-driven collaboration, and performance-oriented refinements.
February 2026 (AliceO2Group/O2Physics): Delivered a critical data-quality improvement for energy correlator analysis by refining data filtering to process only physical primary particles and exclude tracks with specific mother particles. This enhancement reduces contamination in the energy correlator study, increases result reliability, and improves the signal-to-noise ratio for physics conclusions. All changes are traceable to commit c0362746436fce97586ea5dce33898644902fdd1 and PR [PWGDQ] Change some code for the energy correlator study (#15114).
February 2026 (AliceO2Group/O2Physics): Delivered a critical data-quality improvement for energy correlator analysis by refining data filtering to process only physical primary particles and exclude tracks with specific mother particles. This enhancement reduces contamination in the energy correlator study, increases result reliability, and improves the signal-to-noise ratio for physics conclusions. All changes are traceable to commit c0362746436fce97586ea5dce33898644902fdd1 and PR [PWGDQ] Change some code for the energy correlator study (#15114).
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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