
Yuto Nishida developed and enhanced jet shape analysis tools within the AliceO2Group/O2Physics repository, focusing on high energy physics workflows. Over eleven months, he delivered features such as configurable histogramming, particle identification improvements, and performance optimizations using C++ and ROOT. His work introduced flexible analysis parameters, refined event selection, and new diagnostics for jet and track properties, enabling more accurate and reproducible physics measurements. Nishida addressed both feature delivery and code quality, implementing robust data analysis pipelines and fixing critical bugs. His contributions improved analysis throughput, data fidelity, and maintainability, supporting advanced studies in jet substructure and particle production.

January 2026 monthly summary for AliceO2Group/O2Physics: Implemented targeted jet analysis improvements focusing on event selection integration in the jetShape task and DCAxy histogram enhancements. These changes improve analysis accuracy, enable robust event filtering, and bolster data/MC comparisons, accelerating physics results in jet studies.
January 2026 monthly summary for AliceO2Group/O2Physics: Implemented targeted jet analysis improvements focusing on event selection integration in the jetShape task and DCAxy histogram enhancements. These changes improve analysis accuracy, enable robust event filtering, and bolster data/MC comparisons, accelerating physics results in jet studies.
December 2025: Focused improvements to JetShapeTask in AliceO2Group/O2Physics, delivering a critical bug fix, enhanced jet shape analysis, and meaningful performance gains. The team fixed a processSim bug affecting jet/track data, improving the reliability of jet shape calculations and production ratios. We added underlying event subtraction from jetPt to refine jet shape measurements, coupled with performance optimizations achieved by reordering loops and caching jets. Overall, these changes bolster data quality and analysis throughput, supporting more accurate physics results at scale.
December 2025: Focused improvements to JetShapeTask in AliceO2Group/O2Physics, delivering a critical bug fix, enhanced jet shape analysis, and meaningful performance gains. The team fixed a processSim bug affecting jet/track data, improving the reliability of jet shape calculations and production ratios. We added underlying event subtraction from jetPt to refine jet shape measurements, coupled with performance optimizations achieved by reordering loops and caching jets. Overall, these changes bolster data quality and analysis throughput, supporting more accurate physics results at scale.
In November 2025, delivered a feature-focused enhancement to jet shape analysis in AliceO2Group/O2Physics. The work adds configurable minimum and maximum jet pT cuts and introduces a centrality axis, with histogram registrations updated to incorporate pT and centrality data. These changes increase data granularity and analysis accuracy for jet shape studies, supporting centrality-dependent jet physics and PWGJE research objectives. No major bugs fixed this month; primary focus was feature delivery, code quality improvements, and alignment with ongoing physics programs. Overall impact includes more precise jet-shape measurements, improved data workflows, and clearer pathways for physics interpretation.
In November 2025, delivered a feature-focused enhancement to jet shape analysis in AliceO2Group/O2Physics. The work adds configurable minimum and maximum jet pT cuts and introduces a centrality axis, with histogram registrations updated to incorporate pT and centrality data. These changes increase data granularity and analysis accuracy for jet shape studies, supporting centrality-dependent jet physics and PWGJE research objectives. No major bugs fixed this month; primary focus was feature delivery, code quality improvements, and alignment with ongoing physics programs. Overall impact includes more precise jet-shape measurements, improved data workflows, and clearer pathways for physics interpretation.
October 2025 monthly summary for AliceO2Group/O2Physics focusing on feature-driven improvements to track efficiency, momentum resolution analyses, and TOF-based efficiency histograms for jetShape. The work delivered configurable analysis configurations, new histograms for tracking resolution, and particle-specific pT distributions for generated and reconstructed particles, plus TOF-based efficiency calculations to enable more accurate PID and momentum studies. These enhancements align with goals to improve measurement fidelity, analysis throughput, and science impact.
October 2025 monthly summary for AliceO2Group/O2Physics focusing on feature-driven improvements to track efficiency, momentum resolution analyses, and TOF-based efficiency histograms for jetShape. The work delivered configurable analysis configurations, new histograms for tracking resolution, and particle-specific pT distributions for generated and reconstructed particles, plus TOF-based efficiency calculations to enable more accurate PID and momentum studies. These enhancements align with goals to improve measurement fidelity, analysis throughput, and science impact.
September 2025 focused on delivering a notable performance optimization in the O2Physics jet shape analysis, with no critical bug fixes identified this month. The work centered on a targeted feature delivery that improves runtime efficiency and simplifies data flow, enabling faster physics analysis and better resource utilization.
September 2025 focused on delivering a notable performance optimization in the O2Physics jet shape analysis, with no critical bug fixes identified this month. The work centered on a targeted feature delivery that improves runtime efficiency and simplifies data flow, enabling faster physics analysis and better resource utilization.
Month: 2025-08 — AliceO2Group/O2Physics monthly summary Key features delivered: - Jet shape analysis enhancements: improved energy loss measurement outside the jet, with new configuration parameters for momentum and beta binning; added histograms for track properties and for particle distributions within perpendicular cones (pions and protons) inside/outside jets; and optimized track selection efficiency. - Visualization/diagnostics: added an nσ distribution plot for the perpendicular cone to support QA and physics diagnostics. Major bugs fixed: - No explicit major bugs reported this month. The focus was on feature delivery and performance improvements, including robustness refinements in energy loss measurement outside jets and more efficient track selection. Overall impact and accomplishments: - Strengthened jet-shape analytics enabling more precise energy flow studies and better discrimination of inside/outside-jet regions, contributing to tighter systematic control in jet analyses. - Improved analysis throughput through a more efficient track selection method and richer diagnostic visuals, accelerating PWGJE workflows. - Delivered configurable, reusable components that ease future analyses and facilitate deeper study of jet substructure in O2Physics. Technologies/skills demonstrated: - C++/ROOT-based analysis and histogramming; PWGJE workflow integration; performance optimization and configuration-driven development; data visualization for jet substructure. Commit references associated with these changes: - ce447384006ae10c664d315122d6df4b5f7ee1a8: [PWGJE] Change the method for measuring energy loss outside the jet (#12326) - b0ae6d313f321e52b9aedcd9e80fe84aa7f4c712: [PWGJE] Addition of nσ distribution plot for the perpendicular cone. (#12483) - 59aaf39c299e60ec0191cb2760b94d1e8c6630e9: [PWGJE] Change to a more efficient way of selecting particle tracks (#12686)
Month: 2025-08 — AliceO2Group/O2Physics monthly summary Key features delivered: - Jet shape analysis enhancements: improved energy loss measurement outside the jet, with new configuration parameters for momentum and beta binning; added histograms for track properties and for particle distributions within perpendicular cones (pions and protons) inside/outside jets; and optimized track selection efficiency. - Visualization/diagnostics: added an nσ distribution plot for the perpendicular cone to support QA and physics diagnostics. Major bugs fixed: - No explicit major bugs reported this month. The focus was on feature delivery and performance improvements, including robustness refinements in energy loss measurement outside jets and more efficient track selection. Overall impact and accomplishments: - Strengthened jet-shape analytics enabling more precise energy flow studies and better discrimination of inside/outside-jet regions, contributing to tighter systematic control in jet analyses. - Improved analysis throughput through a more efficient track selection method and richer diagnostic visuals, accelerating PWGJE workflows. - Delivered configurable, reusable components that ease future analyses and facilitate deeper study of jet substructure in O2Physics. Technologies/skills demonstrated: - C++/ROOT-based analysis and histogramming; PWGJE workflow integration; performance optimization and configuration-driven development; data visualization for jet substructure. Commit references associated with these changes: - ce447384006ae10c664d315122d6df4b5f7ee1a8: [PWGJE] Change the method for measuring energy loss outside the jet (#12326) - b0ae6d313f321e52b9aedcd9e80fe84aa7f4c712: [PWGJE] Addition of nσ distribution plot for the perpendicular cone. (#12483) - 59aaf39c299e60ec0191cb2760b94d1e8c6630e9: [PWGJE] Change to a more efficient way of selecting particle tracks (#12686)
July 2025 monthly summary for AliceO2Group/O2Physics focusing on feature delivery and code quality in histogram analytics for PID and jet properties. Delivered configurable histogram infrastructure and new PID-related histograms, refactored definitions for flexible binning and ranges, and extended fills with additional dimensions. Updated jetShape/plots to use momentum (p) for dE/dx axes to improve interpretability. Commits included [PWGJE] add new histgrams (#11940) and [PWGJE] Change the x-axis of dE/dx to momentum (p) (#12136). No separate major bug fixes reported this period; emphasis was on feature delivery, reliability, and documentation of the histogram subsystem.
July 2025 monthly summary for AliceO2Group/O2Physics focusing on feature delivery and code quality in histogram analytics for PID and jet properties. Delivered configurable histogram infrastructure and new PID-related histograms, refactored definitions for flexible binning and ranges, and extended fills with additional dimensions. Updated jetShape/plots to use momentum (p) for dE/dx axes to improve interpretability. Commits included [PWGJE] add new histgrams (#11940) and [PWGJE] Change the x-axis of dE/dx to momentum (p) (#12136). No separate major bug fixes reported this period; emphasis was on feature delivery, reliability, and documentation of the histogram subsystem.
June 2025 performance summary for AliceO2Group/O2Physics. Focused on enhancing jet shape analysis within the PWGJE workflow to improve accuracy, background handling, and reliability of physics conclusions. Delivered tangible features with traceable code changes and clear business impact.
June 2025 performance summary for AliceO2Group/O2Physics. Focused on enhancing jet shape analysis within the PWGJE workflow to improve accuracy, background handling, and reliability of physics conclusions. Delivered tangible features with traceable code changes and clear business impact.
April 2025 — AliceO2Group/O2Physics: Delivered PID histogram improvements for jetShape to enhance PID measurements for pions and protons. Implemented refined histogram definitions, binning, and filling; fixed PID histogram logic to align with PWGJE standards (commit 3c839fada64bee7452ae5c5adbe94876e825cded). Result: more accurate jet-related PID, enabling higher-quality physics analyses and more reliable jet characterization.
April 2025 — AliceO2Group/O2Physics: Delivered PID histogram improvements for jetShape to enhance PID measurements for pions and protons. Implemented refined histogram definitions, binning, and filling; fixed PID histogram logic to align with PWGJE standards (commit 3c839fada64bee7452ae5c5adbe94876e825cded). Result: more accurate jet-related PID, enabling higher-quality physics analyses and more reliable jet characterization.
2025-03 monthly summary for AliceO2Group/O2Physics: Implemented Jet Shape Analysis enhancements, adding 3D histograms for TPC/TOF PID (pions and protons) and refining binning for existing 1D/2D histograms to boost granularity and accuracy in jet shape studies; repository changes centralized in commit 457e672cd5a810fd551a8a19af19a15fce6a8d03 with message '[PWGJE] Improvements to my own code, jetShape.cxx (#10483)'. No major bugs fixed this month. Overall impact: improved data fidelity and analysis throughput for jet-related physics.
2025-03 monthly summary for AliceO2Group/O2Physics: Implemented Jet Shape Analysis enhancements, adding 3D histograms for TPC/TOF PID (pions and protons) and refining binning for existing 1D/2D histograms to boost granularity and accuracy in jet shape studies; repository changes centralized in commit 457e672cd5a810fd551a8a19af19a15fce6a8d03 with message '[PWGJE] Improvements to my own code, jetShape.cxx (#10483)'. No major bugs fixed this month. Overall impact: improved data fidelity and analysis throughput for jet-related physics.
February 2025 — Delivered a new jet shape analysis task (jetShape.cxx) in the PWGJE module for O2Physics, introducing histograms, configurable parameters, and processing logic to measure jet shape functions and particle production ratios; integrated into the PWGJE analytics workflow. No major bugs fixed this month. This work adds business value by enabling precise jet-structure measurements and reproducible physics analyses.
February 2025 — Delivered a new jet shape analysis task (jetShape.cxx) in the PWGJE module for O2Physics, introducing histograms, configurable parameters, and processing logic to measure jet shape functions and particle production ratios; integrated into the PWGJE analytics workflow. No major bugs fixed this month. This work adds business value by enabling precise jet-structure measurements and reproducible physics analyses.
Overview of all repositories you've contributed to across your timeline