
Jinwoo Kim developed and maintained advanced data analysis workflows for the AliceO2Group/O2Physics repository, focusing on modular, configurable frameworks for high energy physics studies. He engineered features such as polarization and flow analysis tasks, event selection frameworks, and machine learning-driven candidate selection, using C++ and the ROOT framework. His work included implementing shift correction systems, modular event filtering, and enhancements to data models for particle identification and heptaquark searches. By emphasizing configuration-driven design and robust histogram management, Jinwoo improved analysis reproducibility, data quality, and maintainability, enabling more precise physics measurements and streamlined collaboration across complex scientific computing environments.
March 2026 focused on delivering a unified, modular event selection framework for collision analysis within the O2Physics stack, enabling flexible configuration and better maintainability. Key enhancements include: a configurable pointing-angle parameter for heptaquark selection, a modular event selection method with histogram filling, a centrality estimator variant (CentFT0CVariant2s) for Lambdapolarization studies, and a configuration flag to enable conditional track processing in jEPFlowAnalysis. These changes were implemented through targeted commits that also advance overall modularization and plotting capabilities, aligning with the team’s goals for reproducibility, faster iteration, and clearer analyst workflows.
March 2026 focused on delivering a unified, modular event selection framework for collision analysis within the O2Physics stack, enabling flexible configuration and better maintainability. Key enhancements include: a configurable pointing-angle parameter for heptaquark selection, a modular event selection method with histogram filling, a centrality estimator variant (CentFT0CVariant2s) for Lambdapolarization studies, and a configuration flag to enable conditional track processing in jEPFlowAnalysis. These changes were implemented through targeted commits that also advance overall modularization and plotting capabilities, aligning with the team’s goals for reproducibility, faster iteration, and clearer analyst workflows.
February 2026: Focused on correctness and reliability of vector analytics in O2Physics. Delivered a critical bug fix in the qVectorsTable to ensure delta psi values are scaled by the number of modes, improving accuracy for downstream analyses. The fix is implemented in commit 805ded62dfe14dc14623559a36b4e280098c6225 and addresses the shift correction described in PR #14791. This change reduces the risk of miscalculated vector metrics and enhances reproducibility for physics analyses that rely on qVectorsTable data. No customer-facing features were deployed this month; the work strengthens the foundation for future vector analytics and modeling.
February 2026: Focused on correctness and reliability of vector analytics in O2Physics. Delivered a critical bug fix in the qVectorsTable to ensure delta psi values are scaled by the number of modes, improving accuracy for downstream analyses. The fix is implemented in commit 805ded62dfe14dc14623559a36b4e280098c6225 and addresses the shift correction described in PR #14791. This change reduces the risk of miscalculated vector metrics and enhances reproducibility for physics analyses that rely on qVectorsTable data. No customer-facing features were deployed this month; the work strengthens the foundation for future vector analytics and modeling.
January 2026 monthly summary focusing on key accomplishments, major bugs fixed, impact, and technologies demonstrated. Delivered a targeted event-selection feature for heptaquark analysis in the AliceO2Group/O2Physics repository to filter soft background contributions in collision data, improving signal purity and analysis reliability. No major bugs reported this month; code quality and collaboration remained strong. Technologies demonstrated include C++ data-analysis patterns, PWGLF conventions, and standard version-control practices.
January 2026 monthly summary focusing on key accomplishments, major bugs fixed, impact, and technologies demonstrated. Delivered a targeted event-selection feature for heptaquark analysis in the AliceO2Group/O2Physics repository to filter soft background contributions in collision data, improving signal purity and analysis reliability. No major bugs reported this month; code quality and collaboration remained strong. Technologies demonstrated include C++ data-analysis patterns, PWGLF conventions, and standard version-control practices.
Monthly summary for 2025-12 focused on O2Physics contributions delivering targeted analysis improvements and data-model enhancements. Key work centers were configurable event-selection filters and data-model extensions that directly impact physics results, reproducibility, and downstream analyses. All changes are logged with commit references for traceability and auditability.
Monthly summary for 2025-12 focused on O2Physics contributions delivering targeted analysis improvements and data-model enhancements. Key work centers were configurable event-selection filters and data-model extensions that directly impact physics results, reproducibility, and downstream analyses. All changes are logged with commit references for traceability and auditability.
Month: 2025-11 – Monthly summary for AliceO2Group/O2Physics focusing on performance value, technical achievements, and maintainability improvements. Highlights include feature-rich enhancements to the jet Event Plane and flow analysis, targeted fixes, and a refactor to improve clarity and future extensibility.
Month: 2025-11 – Monthly summary for AliceO2Group/O2Physics focusing on performance value, technical achievements, and maintainability improvements. Highlights include feature-rich enhancements to the jet Event Plane and flow analysis, targeted fixes, and a refactor to improve clarity and future extensibility.
October 2025 monthly summary for AliceO2Group/O2Physics. Key achievements: - Shift correction framework for event plane and vector analyses implemented across EventPlane (O2Physics), EPFlowAnalysis (PWGCF), and qVectorsCorrection, with new data structures, configuration options, and histogram preparation. Commits: bb36e044e3ff3cb6b63367bd85541ed5a347e739; 04a004069017c3389628212b1de1eb8624bb2be7; fcd0067b2d1abc3d47c9750ad55f5afc26c888cf. - Configurable event selection for PWGCF JCorran task added (vertex position, pileup, track occupancy) to improve data filtering. Commit: bc31c8706628dbd684fce149a6e55c9ac066b309. - Cross-repo integration and standardized workflows enabling consistent shift corrections across O2Physics and PWGCF, laying groundwork for reproducibility and scalable analysis. - Focus on quality and maintainability: enhanced configuration-driven workflow and improved documentation for analysts. Major bugs fixed: - None reported this month; no critical defects identified in the scope of the features above. Minor stabilization and code-quality improvements accompany the commits. Overall impact and accomplishments: - Delivered a robust, configurable shift correction framework that standardizes systematic corrections across multiple analyses, improving accuracy, reproducibility, and efficiency for large-scale data processing. - Enabled more precise event selection criteria, leading to better-quality samples for physics analyses and reduced post-processing effort. Technologies/skills demonstrated: - C++ development and software architecture for analysis pipelines - Data structures design for shift corrections - Histogram preparation and analysis workflow integration - Configuration management and multi-repo collaboration - Performance-oriented coding practices and maintainability
October 2025 monthly summary for AliceO2Group/O2Physics. Key achievements: - Shift correction framework for event plane and vector analyses implemented across EventPlane (O2Physics), EPFlowAnalysis (PWGCF), and qVectorsCorrection, with new data structures, configuration options, and histogram preparation. Commits: bb36e044e3ff3cb6b63367bd85541ed5a347e739; 04a004069017c3389628212b1de1eb8624bb2be7; fcd0067b2d1abc3d47c9750ad55f5afc26c888cf. - Configurable event selection for PWGCF JCorran task added (vertex position, pileup, track occupancy) to improve data filtering. Commit: bc31c8706628dbd684fce149a6e55c9ac066b309. - Cross-repo integration and standardized workflows enabling consistent shift corrections across O2Physics and PWGCF, laying groundwork for reproducibility and scalable analysis. - Focus on quality and maintainability: enhanced configuration-driven workflow and improved documentation for analysts. Major bugs fixed: - None reported this month; no critical defects identified in the scope of the features above. Minor stabilization and code-quality improvements accompany the commits. Overall impact and accomplishments: - Delivered a robust, configurable shift correction framework that standardizes systematic corrections across multiple analyses, improving accuracy, reproducibility, and efficiency for large-scale data processing. - Enabled more precise event selection criteria, leading to better-quality samples for physics analyses and reduced post-processing effort. Technologies/skills demonstrated: - C++ development and software architecture for analysis pipelines - Data structures design for shift corrections - Histogram preparation and analysis workflow integration - Configuration management and multi-repo collaboration - Performance-oriented coding practices and maintainability
September 2025 monthly summary for AliceO2Group/O2Physics: Delivered rapidity-dependent polarization histograms for lambda and anti-lambda, enabling differential polarization studies across rapidity. Implemented histogram creation and filling with mass, transverse momentum (pT), angle, centrality, and rapidity, integrated into the existing polarization analysis workflow. No major bugs fixed this month. Impact: expanded physics capability for polarization analyses, enabling better model discrimination and more precise measurements. Technologies/skills demonstrated: C++, ROOT histogramming, O2 framework (PWGLF conventions), version control, and validated workflow integration.
September 2025 monthly summary for AliceO2Group/O2Physics: Delivered rapidity-dependent polarization histograms for lambda and anti-lambda, enabling differential polarization studies across rapidity. Implemented histogram creation and filling with mass, transverse momentum (pT), angle, centrality, and rapidity, integrated into the existing polarization analysis workflow. No major bugs fixed this month. Impact: expanded physics capability for polarization analyses, enabling better model discrimination and more precise measurements. Technologies/skills demonstrated: C++, ROOT histogramming, O2 framework (PWGLF conventions), version control, and validated workflow integration.
August 2025 Development Summary for O2Physics (AliceO2Group/O2Physics) Overview: Delivered a cohesive set of configurable analyses and data-processing enhancements, solidifying the ability to run flexible, reproducible PWGLF and PWGCF studies while improving polarization calculations and mixed-event workflows. These efforts directly enable researchers to tailor analyses to specific datasets (pp, PbPb) and trigger paths, accelerating scientific return and data quality. Key features delivered: - Configurable EventPlane and PWGLF analysis parameters: Added eta range control (cfgEtaMin/cfgEtaMax) for charged tracks and configurable PWGLF azimuthal binning axis (epAxis), enabling flexible analysis configuration. - Two-particle polarization sign flip based on particle tags: Implemented V01Tag and V02Tag with a -1 weight when tags differ, ensuring correct polarization contributions. - Event mixing and V0 mixing enhancements in lambdaTwoPartPolarization: Added event mixing capabilities and refined V0 mixing with new processing paths for mixed PbPb/pp data and a dedicated mixing vertex axis. - Trigger analysis enhancements for pp collisions in PWGLF: Introduced a pp trigger analysis path with event-filtering utilities and configuration options for skimmed data and trigger names, enabling selective processing and improved mixed-event handling. - Delta-eta correlation study: Added a histogram for delta-eta invariant mass differences and applied a minor V0 rapidity range check correction to PWGCF. Major bugs fixed: - Corrected V0 rapidity range handling in PWGCF as part of the delta-eta study improvements, reducing edge-case inconsistencies in differential analyses. Overall impact and accomplishments: - Significantly increased configuration flexibility and reproducibility across analysis workflows, reducing setup time and enabling researchers to align analyses with specific physics goals. - Improved correctness and trustworthiness of polarization results through tag-based weighting and sign handling. - Enhanced data processing efficiency and analysis scope via advanced event mixing support and tailored pp trigger workflows. - Prepared PWGLF/PWGCF pipelines for broader data-taking regimes (pp and PbPb) with modular, extensible processing paths. Technologies/skills demonstrated: - C++/ROOT-based analysis development, modular code enhancements, and configuration-driven workflows. - Advanced event mixing and mixed-event techniques for heavy-ion and pp collision analyses. - Tag-based weighting logic and polarization calculation integrity. - Cross-module collaboration (PWGLF, PWGCF, Common/EventPlane) to extend analysis capabilities.
August 2025 Development Summary for O2Physics (AliceO2Group/O2Physics) Overview: Delivered a cohesive set of configurable analyses and data-processing enhancements, solidifying the ability to run flexible, reproducible PWGLF and PWGCF studies while improving polarization calculations and mixed-event workflows. These efforts directly enable researchers to tailor analyses to specific datasets (pp, PbPb) and trigger paths, accelerating scientific return and data quality. Key features delivered: - Configurable EventPlane and PWGLF analysis parameters: Added eta range control (cfgEtaMin/cfgEtaMax) for charged tracks and configurable PWGLF azimuthal binning axis (epAxis), enabling flexible analysis configuration. - Two-particle polarization sign flip based on particle tags: Implemented V01Tag and V02Tag with a -1 weight when tags differ, ensuring correct polarization contributions. - Event mixing and V0 mixing enhancements in lambdaTwoPartPolarization: Added event mixing capabilities and refined V0 mixing with new processing paths for mixed PbPb/pp data and a dedicated mixing vertex axis. - Trigger analysis enhancements for pp collisions in PWGLF: Introduced a pp trigger analysis path with event-filtering utilities and configuration options for skimmed data and trigger names, enabling selective processing and improved mixed-event handling. - Delta-eta correlation study: Added a histogram for delta-eta invariant mass differences and applied a minor V0 rapidity range check correction to PWGCF. Major bugs fixed: - Corrected V0 rapidity range handling in PWGCF as part of the delta-eta study improvements, reducing edge-case inconsistencies in differential analyses. Overall impact and accomplishments: - Significantly increased configuration flexibility and reproducibility across analysis workflows, reducing setup time and enabling researchers to align analyses with specific physics goals. - Improved correctness and trustworthiness of polarization results through tag-based weighting and sign handling. - Enhanced data processing efficiency and analysis scope via advanced event mixing support and tailored pp trigger workflows. - Prepared PWGLF/PWGCF pipelines for broader data-taking regimes (pp and PbPb) with modular, extensible processing paths. Technologies/skills demonstrated: - C++/ROOT-based analysis development, modular code enhancements, and configuration-driven workflows. - Advanced event mixing and mixed-event techniques for heavy-ion and pp collision analyses. - Tag-based weighting logic and polarization calculation integrity. - Cross-module collaboration (PWGLF, PWGCF, Common/EventPlane) to extend analysis capabilities.
Month: 2025-07 — July 2025 highlights for AliceO2Group/O2Physics: Delivered a new Lambda polarization analysis task with enhanced histogram axes and an extensible workflow. Implemented end-to-end components including a C++ event/track selection class, V0 candidate selection, and histogram filling for signal and acceptance, with configurable selection criteria and correction methods; added cosine axes for signal and acceptance histograms to enable richer analysis. No major bugs reported this month. Impact: accelerates Lambda polarization measurements, improves uncertainty handling, and provides a scalable, configurable analysis framework for future studies. Technologies demonstrated: C++ analysis development, workflow integration, selection logic, histogram management, and configurable correction methods.
Month: 2025-07 — July 2025 highlights for AliceO2Group/O2Physics: Delivered a new Lambda polarization analysis task with enhanced histogram axes and an extensible workflow. Implemented end-to-end components including a C++ event/track selection class, V0 candidate selection, and histogram filling for signal and acceptance, with configurable selection criteria and correction methods; added cosine axes for signal and acceptance histograms to enable richer analysis. No major bugs reported this month. Impact: accelerates Lambda polarization measurements, improves uncertainty handling, and provides a scalable, configurable analysis framework for future studies. Technologies demonstrated: C++ analysis development, workflow integration, selection logic, histogram management, and configurable correction methods.
April 2025 delivered key physics features, bug fixes, and improvements to evaluation workflows for O2Physics. Deliverables include configurable PWGLF V0V0 selection with new min/max parameters and DCA magnitude, a new lambda-lambda trigger in Event Filtering, delta-phi histograms for two-prong invariant mass, and a bug fix consolidating DCA axes into a single DCAAxis. These changes improve selection precision, event quality, and distribution reliability, enabling more robust physics analyses and faster iteration.
April 2025 delivered key physics features, bug fixes, and improvements to evaluation workflows for O2Physics. Deliverables include configurable PWGLF V0V0 selection with new min/max parameters and DCA magnitude, a new lambda-lambda trigger in Event Filtering, delta-phi histograms for two-prong invariant mass, and a bug fix consolidating DCA axes into a single DCAAxis. These changes improve selection precision, event quality, and distribution reliability, enabling more robust physics analyses and faster iteration.
March 2025 focused on stabilizing and advancing PWGLF physics analyses in O2Physics. Key outcomes include a weighted polarization capability and refined event selection for PWGLF, a bug fix that corrects the V0-V0 distance threshold logic in lambdalambda.cxx, and an enhanced PWGLF Lambda-Lambda analysis with a dedicated data-table workflow separating lambda vs anti-lambda and laying groundwork for reduced candidate tables and associated tracks. These changes deliver tangible business value: higher analysis accuracy and granularity, more reliable strange-particle filtering, and streamlined data workflows that accelerate iteration and collaboration. Technical value includes improved histogram weighting, DCA-based event selection, updated binning, and data-table workflow foundations supporting reproducible analyses and easier downstream processing.
March 2025 focused on stabilizing and advancing PWGLF physics analyses in O2Physics. Key outcomes include a weighted polarization capability and refined event selection for PWGLF, a bug fix that corrects the V0-V0 distance threshold logic in lambdalambda.cxx, and an enhanced PWGLF Lambda-Lambda analysis with a dedicated data-table workflow separating lambda vs anti-lambda and laying groundwork for reduced candidate tables and associated tracks. These changes deliver tangible business value: higher analysis accuracy and granularity, more reliable strange-particle filtering, and streamlined data workflows that accelerate iteration and collaboration. Technical value includes improved histogram weighting, DCA-based event selection, updated binning, and data-table workflow foundations supporting reproducible analyses and easier downstream processing.
February 2025 monthly summary for AliceO2Group/O2Physics focused on delivering key feature enhancements, ML-driven analysis capabilities, and groundwork enabling future discoveries across PWGLF and PWGCF. The work improved particle identification, data-driven selection, background modeling, and real-time processing, contributing to higher physics purity, faster data interpretation, and a solid foundation for exploratory analyses.
February 2025 monthly summary for AliceO2Group/O2Physics focused on delivering key feature enhancements, ML-driven analysis capabilities, and groundwork enabling future discoveries across PWGLF and PWGCF. The work improved particle identification, data-driven selection, background modeling, and real-time processing, contributing to higher physics purity, faster data interpretation, and a solid foundation for exploratory analyses.
Month: 2025-01 | Repository: AliceO2Group/O2Physics. This month focused on improving analysis configurability and processing reliability in PWG analyses. Key features delivered include a configurable same-particle correlation option and a configurable cosine axis for PWGLF analyses, along with a bug fix to prevent double-processing of events and improve strangeness analysis accuracy. These changes enhance data quality, reduce redundant processing, and provide more flexible analysis configurations for physics teams. Impact includes improved accuracy in event mixing and centrality-bin handling, better resource utilization, and easier experimentation with analysis definitions. Technologies/skills demonstrated include C++/PWG codebase work, configuration-driven design, modular implementation, and commit-traceable changes that improve maintainability and performance.
Month: 2025-01 | Repository: AliceO2Group/O2Physics. This month focused on improving analysis configurability and processing reliability in PWG analyses. Key features delivered include a configurable same-particle correlation option and a configurable cosine axis for PWGLF analyses, along with a bug fix to prevent double-processing of events and improve strangeness analysis accuracy. These changes enhance data quality, reduce redundant processing, and provide more flexible analysis configurations for physics teams. Impact includes improved accuracy in event mixing and centrality-bin handling, better resource utilization, and easier experimentation with analysis definitions. Technologies/skills demonstrated include C++/PWG codebase work, configuration-driven design, modular implementation, and commit-traceable changes that improve maintainability and performance.
December 2024 delivered a focused set of core analysis features and quality improvements in AliceO2Group/O2Physics, enhancing Lambda-Lambda correlation studies, polarization analyses, and track-level selection while boosting robustness of particle identification. The work directly strengthens physics reach, background handling, and data analysis reliability for PWGCF workflows and downstream results.
December 2024 delivered a focused set of core analysis features and quality improvements in AliceO2Group/O2Physics, enhancing Lambda-Lambda correlation studies, polarization analyses, and track-level selection while boosting robustness of particle identification. The work directly strengthens physics reach, background handling, and data analysis reliability for PWGCF workflows and downstream results.
November 2024 delivered substantial, configurable analysis enhancements in the O2Physics project, with a focus on polarization measurements and flow analyses. The work improves accuracy, reproducibility, and readiness for physics results by combining robust validation with flexible configuration across PWGLF/PWGCF.
November 2024 delivered substantial, configurable analysis enhancements in the O2Physics project, with a focus on polarization measurements and flow analyses. The work improves accuracy, reproducibility, and readiness for physics results by combining robust validation with flexible configuration across PWGLF/PWGCF.
Month: 2024-10. This period focused on enhancing analysis fidelity and expanding QA coverage within the AliceO2Group/O2Physics project. Key improvements include occupancy-based selection in the lambda polarization analysis, updated channel selection to honor occupancy, and phi-dependent study controls to conditionally skip events based on phi significance. Additionally, a PVz QA histogram for the primary vertex Z distribution was introduced with configurable binning and population from collision Z during event processing. These items collectively improve data quality, enable more precise polarization measurements, and streamline QA validation. Impact and value: The enhancements reduce occupancy-related biases in polarization studies and broaden QA visibility across data-taking, leading to more reliable physics results and faster validation cycles. This contributes to higher confidence in downstream analyses and supports more robust performance assessments for the collaboration. Technologies/skills demonstrated: C++/ROOT-based analysis logic, configuration-driven controls (cfgMaxOccupancy, cfgMinOccupancy, phi-dependent gates), occupancy-aware data processing, and QA histogram integration. Repo: AliceO2Group/O2Physics
Month: 2024-10. This period focused on enhancing analysis fidelity and expanding QA coverage within the AliceO2Group/O2Physics project. Key improvements include occupancy-based selection in the lambda polarization analysis, updated channel selection to honor occupancy, and phi-dependent study controls to conditionally skip events based on phi significance. Additionally, a PVz QA histogram for the primary vertex Z distribution was introduced with configurable binning and population from collision Z during event processing. These items collectively improve data quality, enable more precise polarization measurements, and streamline QA validation. Impact and value: The enhancements reduce occupancy-related biases in polarization studies and broaden QA visibility across data-taking, leading to more reliable physics results and faster validation cycles. This contributes to higher confidence in downstream analyses and supports more robust performance assessments for the collaboration. Technologies/skills demonstrated: C++/ROOT-based analysis logic, configuration-driven controls (cfgMaxOccupancy, cfgMinOccupancy, phi-dependent gates), occupancy-aware data processing, and QA histogram integration. Repo: AliceO2Group/O2Physics

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