
Daiki Sekihata developed and maintained advanced analysis pipelines for the AliceO2Group/O2Physics repository, focusing on dilepton and photon analyses in high-energy physics. He engineered robust C++ workflows for event selection, particle identification, and Monte Carlo simulation, integrating machine learning-based PID and optimizing data models for both performance and memory efficiency. His work included enhancements to muon and electron tracking, quality control histograms, and trigger systems, as well as the implementation of new analysis tasks and refactoring for maintainability. By automating data processing and improving analysis fidelity, Daiki enabled more reliable, scalable, and reproducible physics results within the collaboration.

February 2026 monthly summary for AliceO2Group/O2Physics. Delivered muon tracking analysis enhancements and ML data preparation for global muons, including configurable parameters, refined matching, additional z-shift/preselection in globalDimuonFilter, and ML-ready data table generation. Introduced a new MC MFT-MCH match correctness flag to improve muon tracking workflows. Implemented these features through a sequence of commits across the PWGEM/Dilepton and related modules (notable: 3a01c585208cbaa9180d0473917e0992baf6f7e8, f4731577712e21e5a9a179e08c273024c37b8ee7, 9a174d2b262017c68c3b298b16ba1fe14be3105e, fe18ca18c17eda1172a8b4aa515e82ac5a76e619, a1b896cccf50c945cb04b071c87e6ea2dc1c7f2e). Also fixed a logical error in DimuonCut and added QC histograms to monitor muon tracking (commit 9478910177c7e3c3a91c331a1095acdaab705f9e).
February 2026 monthly summary for AliceO2Group/O2Physics. Delivered muon tracking analysis enhancements and ML data preparation for global muons, including configurable parameters, refined matching, additional z-shift/preselection in globalDimuonFilter, and ML-ready data table generation. Introduced a new MC MFT-MCH match correctness flag to improve muon tracking workflows. Implemented these features through a sequence of commits across the PWGEM/Dilepton and related modules (notable: 3a01c585208cbaa9180d0473917e0992baf6f7e8, f4731577712e21e5a9a179e08c273024c37b8ee7, 9a174d2b262017c68c3b298b16ba1fe14be3105e, fe18ca18c17eda1172a8b4aa515e82ac5a76e619, a1b896cccf50c945cb04b071c87e6ea2dc1c7f2e). Also fixed a logical error in DimuonCut and added QC histograms to monitor muon tracking (commit 9478910177c7e3c3a91c331a1095acdaab705f9e).
January 2026: Strengthened dilepton analysis and simulation fidelity across the two main O2 repos (O2Physics PWGEM and O2DPG). Implemented targeted bug fixes in MFT matching, expanded flow-related capabilities with Q-vector FV0A support, and introduced QA enhancements and trigger-analysis improvements. These changes delivered more reliable MFT matching, robust flow and trigger analyses, and improved Monte Carlo validation for heavy-ion and proton-lead studies, accelerating physics results and reducing downstream debugging.
January 2026: Strengthened dilepton analysis and simulation fidelity across the two main O2 repos (O2Physics PWGEM and O2DPG). Implemented targeted bug fixes in MFT matching, expanded flow-related capabilities with Q-vector FV0A support, and introduced QA enhancements and trigger-analysis improvements. These changes delivered more reliable MFT matching, robust flow and trigger analyses, and improved Monte Carlo validation for heavy-ion and proton-lead studies, accelerating physics results and reducing downstream debugging.
December 2025 (AliceO2Group/O2Physics) focused on delivering high-impact physics features, reliability improvements, and a maintainable codebase. Key outcomes include: - Dilepton Polarization Analysis Enhancements: implemented pair transverse momentum cuts, enhanced event mixing, Lorentz boost histograms, and expanded histograms for muon data to improve analysis fidelity and visualization. Also updated event QC (Qvec FV0A) for improved quality control. Commit activity spans dileptonPolarization.cxx updates and histogram refinements. - Zorro Software Trigger System Integration: integrated a new software trigger system to enhance event selection and analysis capabilities. - Monte Carlo Diquark and Heavy Flavor Decay Improvements: added a dedicated function to identify diquarks and refined heavy flavor decay handling in MC to improve decay-type classification accuracy. - PhotonHBT Module Refactor: reorganized and refactored PhotonHBT-related files to improve maintainability of the photon Hanbury Brown–Twiss analysis components. - Codebase Cleanup and New Workflow: streamlined codebase by removing unused components and introducing a new workflow for qVectorDummyOTF, plus related cleanup tasks. Major bugs fixed: - Resolved inconsistencies in the dilepton polarization workflow and updated event QC for Qvec FV0A to tighten quality control and robustness. - Reduced noise/ambiguities in MC histogram configurations to improve stability of analysis outputs. - General maintenance fixes in matching and MFT-related components to improve reliability. Overall impact and accomplishments: - Significantly enhanced physics analysis fidelity and visualization for dilepton polarization studies. - Improved event selection precision via Zorro trigger integration, enabling more selective and efficient data processing. - More accurate MC decay-type classification and maintainable code structure, enabling faster iteration and easier onboarding for new developers. - Strengthened code quality and maintainability through refactoring and cleanup, setting a solid foundation for upcoming investigations. Technologies/skills demonstrated: - C++ software development for high-energy physics analysis, histogram management, and event selection workflows. - Monte Carlo simulation enhancement and decay classification techniques. - Software trigger integration (Zorro) and event QC tooling. - Codebase refactoring, workflow automation, and maintainability best practices ( PhotonHBT, qVectorDummyOTF ).
December 2025 (AliceO2Group/O2Physics) focused on delivering high-impact physics features, reliability improvements, and a maintainable codebase. Key outcomes include: - Dilepton Polarization Analysis Enhancements: implemented pair transverse momentum cuts, enhanced event mixing, Lorentz boost histograms, and expanded histograms for muon data to improve analysis fidelity and visualization. Also updated event QC (Qvec FV0A) for improved quality control. Commit activity spans dileptonPolarization.cxx updates and histogram refinements. - Zorro Software Trigger System Integration: integrated a new software trigger system to enhance event selection and analysis capabilities. - Monte Carlo Diquark and Heavy Flavor Decay Improvements: added a dedicated function to identify diquarks and refined heavy flavor decay handling in MC to improve decay-type classification accuracy. - PhotonHBT Module Refactor: reorganized and refactored PhotonHBT-related files to improve maintainability of the photon Hanbury Brown–Twiss analysis components. - Codebase Cleanup and New Workflow: streamlined codebase by removing unused components and introducing a new workflow for qVectorDummyOTF, plus related cleanup tasks. Major bugs fixed: - Resolved inconsistencies in the dilepton polarization workflow and updated event QC for Qvec FV0A to tighten quality control and robustness. - Reduced noise/ambiguities in MC histogram configurations to improve stability of analysis outputs. - General maintenance fixes in matching and MFT-related components to improve reliability. Overall impact and accomplishments: - Significantly enhanced physics analysis fidelity and visualization for dilepton polarization studies. - Improved event selection precision via Zorro trigger integration, enabling more selective and efficient data processing. - More accurate MC decay-type classification and maintainable code structure, enabling faster iteration and easier onboarding for new developers. - Strengthened code quality and maintainability through refactoring and cleanup, setting a solid foundation for upcoming investigations. Technologies/skills demonstrated: - C++ software development for high-energy physics analysis, histogram management, and event selection workflows. - Monte Carlo simulation enhancement and decay classification techniques. - Software trigger integration (Zorro) and event QC tooling. - Codebase refactoring, workflow automation, and maintainability best practices ( PhotonHBT, qVectorDummyOTF ).
November 2025 monthly summary for AliceO2Group development: - Consolidated delivery across O2Physics and O2DPG focusing on heavy flavor MC, dielectron analysis tooling, polarization handling, muon propagation, and Dilepton utilities, with attention to code quality and test coverage. - Business value centered on physics accuracy, stability, and performance improvements enabling more robust heavy flavor studies, dielectron analyses, and polarization measurements.
November 2025 monthly summary for AliceO2Group development: - Consolidated delivery across O2Physics and O2DPG focusing on heavy flavor MC, dielectron analysis tooling, polarization handling, muon propagation, and Dilepton utilities, with attention to code quality and test coverage. - Business value centered on physics accuracy, stability, and performance improvements enabling more robust heavy flavor studies, dielectron analyses, and polarization measurements.
October 2025 performance summary for AliceO2Group/O2Physics focused on delivering high-impact features for PWGEM/Dilepton analyses, improving data handling, and strengthening code robustness for production use. Key features were delivered across four areas: Dilepton Analysis Filtering and Acceptance Enhancements; Muon Analysis Framework Enhancements and Visualization; Dilepton MC/Data Handling and ML Integration; and Core Robustness and Stability Improvements.
October 2025 performance summary for AliceO2Group/O2Physics focused on delivering high-impact features for PWGEM/Dilepton analyses, improving data handling, and strengthening code robustness for production use. Key features were delivered across four areas: Dilepton Analysis Filtering and Acceptance Enhancements; Muon Analysis Framework Enhancements and Visualization; Dilepton MC/Data Handling and ML Integration; and Core Robustness and Stability Improvements.
September 2025 performance summary across O2Physics and O2DPG focusing on PWGEM/Dilepton analysis fidelity, DY simulation breadth, and ML-based identification. Delivered multiple feature improvements and stabilizing fixes, enabling broader physics studies and more automated analysis workflows.
September 2025 performance summary across O2Physics and O2DPG focusing on PWGEM/Dilepton analysis fidelity, DY simulation breadth, and ML-based identification. Delivered multiple feature improvements and stabilizing fixes, enabling broader physics studies and more automated analysis workflows.
In August 2025, the O2Physics development team delivered a set of targeted, business-value driven improvements across PhotonMeson and Dilepton modules, strengthening data quality, analytics capabilities, and reliability. Key outcomes include a PCM data upgrade and derived-data cleanup in PhotonMeson, a comprehensive Dilepton 2PC and analytics expansion, ML-driven PID enhancements with memory optimizations and TOF support, visualization and track-size improvements, and a robust set of stability/fix efforts to reduce analysis risk.
In August 2025, the O2Physics development team delivered a set of targeted, business-value driven improvements across PhotonMeson and Dilepton modules, strengthening data quality, analytics capabilities, and reliability. Key outcomes include a PCM data upgrade and derived-data cleanup in PhotonMeson, a comprehensive Dilepton 2PC and analytics expansion, ML-driven PID enhancements with memory optimizations and TOF support, visualization and track-size improvements, and a robust set of stability/fix efforts to reduce analysis risk.
July 2025 monthly summary for AliceO2Group/O2Physics highlighting business value and technical achievements across the Dilepton and PhotonMeson domains. The month focused on delivering data quality improvements, data product cleanliness, and performance gains, while expanding capabilities for MC truth handling, 2PC analyses, and offline-online processing pipelines. The work enabled more precise physics measurements, reduced data footprint, and streamlined maintenance for future releases.
July 2025 monthly summary for AliceO2Group/O2Physics highlighting business value and technical achievements across the Dilepton and PhotonMeson domains. The month focused on delivering data quality improvements, data product cleanliness, and performance gains, while expanding capabilities for MC truth handling, 2PC analyses, and offline-online processing pipelines. The work enabled more precise physics measurements, reduced data footprint, and streamlined maintenance for future releases.
June 2025 highlights for AliceO2Group/O2Physics: Delivered notable memory and performance improvements for resolution mapping and histogram generation, enabling more efficient large-scale analyses. Advanced the dimuon/dilepton analysis with refined cuts, improved track matching (including MFT disk hits, delta-pT/Delta-eta/Delta-phi), updated histograms, and PID ML configuration adjustments to boost identification accuracy. Enabled ITSsa tracks in analyses with extended histograms and quality metrics, broadening analysis coverage. Introduced a derived data task for primary tracks and simplified the data model, complemented by targeted code maintenance (dependency reduction and naming consistency). These efforts reduce memory footprint, increase throughput, and improve the scientific value of dilepton analyses while enhancing code quality for future work.
June 2025 highlights for AliceO2Group/O2Physics: Delivered notable memory and performance improvements for resolution mapping and histogram generation, enabling more efficient large-scale analyses. Advanced the dimuon/dilepton analysis with refined cuts, improved track matching (including MFT disk hits, delta-pT/Delta-eta/Delta-phi), updated histograms, and PID ML configuration adjustments to boost identification accuracy. Enabled ITSsa tracks in analyses with extended histograms and quality metrics, broadening analysis coverage. Introduced a derived data task for primary tracks and simplified the data model, complemented by targeted code maintenance (dependency reduction and naming consistency). These efforts reduce memory footprint, increase throughput, and improve the scientific value of dilepton analyses while enhancing code quality for future work.
May 2025 focused on delivering robust heavy-flavor analysis capabilities and strengthening core tracking and data handling pipelines in O2Physics. The month yielded concrete business value: more precise physics outputs, improved data/MC consistency, reduced memory usage for QA, and a solid foundation for ML-enabled workflows. Delivered multiple feature expansions across PWGEM/Dilepton and core tracking, with attention to stability, performance, and maintainability.
May 2025 focused on delivering robust heavy-flavor analysis capabilities and strengthening core tracking and data handling pipelines in O2Physics. The month yielded concrete business value: more precise physics outputs, improved data/MC consistency, reduced memory usage for QA, and a solid foundation for ML-enabled workflows. Delivered multiple feature expansions across PWGEM/Dilepton and core tracking, with attention to stability, performance, and maintainability.
April 2025 (Month: 2025-04) delivered focused muon-analysis enhancements in AliceO2Group/O2Physics, driving improved reconstruction accuracy and more robust PWGEM/Dilepton workflows. Key work encompassed deeper DCA integration with MFT, refined MFT matching across common and MC, enhanced forward tracking propagation, addition of BC information for analysis data structures, and upgraded muon QA utilities, all while addressing critical DCA calculation accuracy.
April 2025 (Month: 2025-04) delivered focused muon-analysis enhancements in AliceO2Group/O2Physics, driving improved reconstruction accuracy and more robust PWGEM/Dilepton workflows. Key work encompassed deeper DCA integration with MFT, refined MFT matching across common and MC, enhanced forward tracking propagation, addition of BC information for analysis data structures, and upgraded muon QA utilities, all while addressing critical DCA calculation accuracy.
In March 2025, the O2Physics team delivered substantial feature work and stability fixes across Photon, Dilepton, PhotonMeson, and muon-analysis pipelines, amplifying performance, data quality, and physics reach. Key work advanced analysis capabilities (Dalitz QC, MC truth studies, resolution mapping, and robust tree creation for Dilepton), improved photon-related workflows (prefilter, PCM, TaggingPi0, QC tasks), and strengthened muon propagation and data handling via the Common library with reduced CCDB calls. These efforts collectively reduce runtime, increase robustness, and provide clearer, more accurate physics signals for downstream analyses and publications.
In March 2025, the O2Physics team delivered substantial feature work and stability fixes across Photon, Dilepton, PhotonMeson, and muon-analysis pipelines, amplifying performance, data quality, and physics reach. Key work advanced analysis capabilities (Dalitz QC, MC truth studies, resolution mapping, and robust tree creation for Dilepton), improved photon-related workflows (prefilter, PCM, TaggingPi0, QC tasks), and strengthened muon propagation and data handling via the Common library with reduced CCDB calls. These efforts collectively reduce runtime, increase robustness, and provide clearer, more accurate physics signals for downstream analyses and publications.
February 2025 (Month: 2025-02) performance highlights for AliceO2Group/O2Physics: Implemented MC truth analysis enhancements and event selection studies to improve physics fidelity and bias assessment; integrated material lookup tables and collision covariance matrices into PWGEM workflows; established pi0 photon prefiltering and PID-related improvements to data-model alignment; and delivered targeted code quality improvements to ElectronMLDDA/Dilepton modules to boost maintainability and reduce errors. These changes collectively advance data-model consistency, enable more reliable MC truth interpretation, and support faster iteration and stronger business value from physics analyses.
February 2025 (Month: 2025-02) performance highlights for AliceO2Group/O2Physics: Implemented MC truth analysis enhancements and event selection studies to improve physics fidelity and bias assessment; integrated material lookup tables and collision covariance matrices into PWGEM workflows; established pi0 photon prefiltering and PID-related improvements to data-model alignment; and delivered targeted code quality improvements to ElectronMLDDA/Dilepton modules to boost maintainability and reduce errors. These changes collectively advance data-model consistency, enable more reliable MC truth interpretation, and support faster iteration and stronger business value from physics analyses.
Monthly performance summary for 2025-01 focusing on business value and technical achievements for AliceO2Group/O2Physics. Demonstrated substantial progress in dilepton analysis capabilities through ITS-based PID enhancements, improved event QC/PID/TPC workflows, and robust data-model integration. Also delivered new analysis tooling (BC-counter) and enhanced MC-to-reco mapping and CCDB integration, contributing to more reliable physics results and maintainable code. Overall impact: reinforced data-model fidelity, increased analysis accuracy, and streamlined workflows for dilepton analyses, with tangible improvements in selection quality, tracking, and reproducibility.
Monthly performance summary for 2025-01 focusing on business value and technical achievements for AliceO2Group/O2Physics. Demonstrated substantial progress in dilepton analysis capabilities through ITS-based PID enhancements, improved event QC/PID/TPC workflows, and robust data-model integration. Also delivered new analysis tooling (BC-counter) and enhanced MC-to-reco mapping and CCDB integration, contributing to more reliable physics results and maintainable code. Overall impact: reinforced data-model fidelity, increased analysis accuracy, and streamlined workflows for dilepton analyses, with tangible improvements in selection quality, tracking, and reproducibility.
Concise monthly summary for December 2024 focused on delivering measurable business value and technical improvements within O2Physics, particularly PWGEM/Dilepton and related modules. Implemented a comprehensive set of enhancements across the dilepton analysis pipeline, improving selection fidelity, normalization accuracy, and resolution modeling. Strengthened code maintenance through targeted cleanups and table/producers updates, enabling more robust physics conclusions and reproducibility.
Concise monthly summary for December 2024 focused on delivering measurable business value and technical improvements within O2Physics, particularly PWGEM/Dilepton and related modules. Implemented a comprehensive set of enhancements across the dilepton analysis pipeline, improving selection fidelity, normalization accuracy, and resolution modeling. Strengthened code maintenance through targeted cleanups and table/producers updates, enabling more robust physics conclusions and reproducibility.
November 2024 monthly summary for PWGEM/Dilepton and related analyses. Focused on delivering feature-rich improvements to data selection, unfolding workflows, and MC integration, with an emphasis on data quality, analysis fidelity, and scalable configuration.
November 2024 monthly summary for PWGEM/Dilepton and related analyses. Focused on delivering feature-rich improvements to data selection, unfolding workflows, and MC integration, with an emphasis on data quality, analysis fidelity, and scalable configuration.
Month: 2024-10 — Strengthened data quality and analysis capabilities in O2Physics with targeted feature delivery and stability improvements that enable more flexible physics analyses and robust workflows.
Month: 2024-10 — Strengthened data quality and analysis capabilities in O2Physics with targeted feature delivery and stability improvements that enable more flexible physics analyses and robust workflows.
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