
Bhanjanpreet contributed to the AliceO2Group/O2Physics repository by developing and refining particle identification and flow analysis tools for high-energy physics experiments. Over 16 months, he engineered configurable PID workflows, enhanced event and track selection, and integrated Monte Carlo truth for improved data quality. His work involved refactoring analysis modules, implementing flexible configuration management, and expanding histogramming for QA and physics validation. Using C++, CMake, and the ROOT framework, Bhanjanpreet addressed both feature development and bug fixes, focusing on maintainability and reproducibility. His contributions enabled more accurate, scalable analyses and established robust foundations for ongoing physics research and collaborative software development.
March 2026: Delivered PID histograms with dEdx distributions for pions, kaons, and protons after applying PID cuts in AliceO2Group/O2Physics. Commit 285e2cf672d033e76173ecd3ef44d5ca4ce028ee adds dEdx distributions after PID cut; co-authored by Preet Pati and ALICE Action Bot. Impact: higher PID accuracy and improved data-analysis quality, enabling more reliable physics results and downstream analyses. Technologies/skills demonstrated: dEdx-based PID, histogram generation, integration of PID cuts, and collaborative software development within the ALICE O2 stack.
March 2026: Delivered PID histograms with dEdx distributions for pions, kaons, and protons after applying PID cuts in AliceO2Group/O2Physics. Commit 285e2cf672d033e76173ecd3ef44d5ca4ce028ee adds dEdx distributions after PID cut; co-authored by Preet Pati and ALICE Action Bot. Impact: higher PID accuracy and improved data-analysis quality, enabling more reliable physics results and downstream analyses. Technologies/skills demonstrated: dEdx-based PID, histogram generation, integration of PID cuts, and collaborative software development within the ALICE O2 stack.
February 2026 monthly summary for AliceO2Group/O2Physics focusing on delivering improvements to particle identification (PID) quality and data monitoring to enable more reliable physics analyses. The work emphasized configurable PID criteria, enhanced dEdx QA capabilities, and richer dEdx information and histograms for physical primary particles. These changes reduce systematic uncertainties in PID-based analyses, improve QA workflows, and promote faster, data-driven decisions in physics campaigns.
February 2026 monthly summary for AliceO2Group/O2Physics focusing on delivering improvements to particle identification (PID) quality and data monitoring to enable more reliable physics analyses. The work emphasized configurable PID criteria, enhanced dEdx QA capabilities, and richer dEdx information and histograms for physical primary particles. These changes reduce systematic uncertainties in PID-based analyses, improve QA workflows, and promote faster, data-driven decisions in physics campaigns.
December 2025 monthly summary for AliceO2Group/O2Physics: Delivered a feature-focused milestone enhancing particle identification (PID) in TPC analysis by enabling a configurable dEdx axis and Monte Carlo truth integration, improving PID accuracy and data/MC agreement. No critical bugs fixed this month; the team focused on feature development and code quality. This work lays groundwork for broader PID enhancements and supports more precise physics analyses with richer histograms and MC-informed PID decisions.
December 2025 monthly summary for AliceO2Group/O2Physics: Delivered a feature-focused milestone enhancing particle identification (PID) in TPC analysis by enabling a configurable dEdx axis and Monte Carlo truth integration, improving PID accuracy and data/MC agreement. No critical bugs fixed this month; the team focused on feature development and code quality. This work lays groundwork for broader PID enhancements and supports more precise physics analyses with richer histograms and MC-informed PID decisions.
Monthly summary for 2025-11 (AliceO2Group/O2Physics): Delivered key enhancements to particle identification and track selection, improving data quality and analysis reliability. Implemented multiplicity correlation cuts and quality assurance plots for PID in the PidDiHadron analysis; introduced configurable centrality weight and multiplicity cut parameters; added a sigma-based DCA cut to strengthen track selection. Also fixed a particle identification logic bug by updating enum values and correcting index usage, improving classification accuracy. All changes are traceable to commits for easy review.
Monthly summary for 2025-11 (AliceO2Group/O2Physics): Delivered key enhancements to particle identification and track selection, improving data quality and analysis reliability. Implemented multiplicity correlation cuts and quality assurance plots for PID in the PidDiHadron analysis; introduced configurable centrality weight and multiplicity cut parameters; added a sigma-based DCA cut to strengthen track selection. Also fixed a particle identification logic bug by updating enum values and correcting index usage, improving classification accuracy. All changes are traceable to commits for easy review.
Concise monthly summary for 2025-10: Delivered a refactor of the Particle Identification (PID) configuration in PWGCF within the O2Physics repository to replace magic numbers with named constants. This improves readability, reduces configuration errors, and accelerates onboarding for contributors. The work establishes a solid foundation for safer PID tuning and easier maintenance, contributing to more reliable physics reconstruction and faster iteration cycles.
Concise monthly summary for 2025-10: Delivered a refactor of the Particle Identification (PID) configuration in PWGCF within the O2Physics repository to replace magic numbers with named constants. This improves readability, reduces configuration errors, and accelerates onboarding for contributors. The work establishes a solid foundation for safer PID tuning and easier maintenance, contributing to more reliable physics reconstruction and faster iteration cycles.
September 2025 monthly highlights for AliceO2Group/O2Physics: Delivered Nch-based analysis support enabling analysis with either centrality or Nch; updated configuration and histogram definitions to support the new method; no major bugs fixed this month; focused on feature delivery and establishing a flexible, maintainable analysis workflow. Commit reference: 8ab692a354c6ba739505eab0d27c46100d4702f1 as part of [PWGCF] Addition of Nch analysis (#13047).
September 2025 monthly highlights for AliceO2Group/O2Physics: Delivered Nch-based analysis support enabling analysis with either centrality or Nch; updated configuration and histogram definitions to support the new method; no major bugs fixed this month; focused on feature delivery and establishing a flexible, maintainable analysis workflow. Commit reference: 8ab692a354c6ba739505eab0d27c46100d4702f1 as part of [PWGCF] Addition of Nch analysis (#13047).
For August 2025, delivered targeted code quality improvements and a critical bug fix in AliceO2Group/O2Physics, focusing on PID track selection accuracy and code maintenance. The work enhances data quality, reproducibility, and maintainability, setting the stage for more reliable physics analysis.
For August 2025, delivered targeted code quality improvements and a critical bug fix in AliceO2Group/O2Physics, focusing on PID track selection accuracy and code maintenance. The work enhances data quality, reproducibility, and maintainability, setting the stage for more reliable physics analysis.
Monthly performance summary for July 2025 (2025-07): Focused on expanding particle correlation analytics in O2Physics within AliceO2Group/O2Physics. Implemented feature-driven enhancements and prepared PWGCF workflows for advanced correlation studies. No major bugs reported fixed this month; primary emphasis on delivering robust features and maintainable code.
Monthly performance summary for July 2025 (2025-07): Focused on expanding particle correlation analytics in O2Physics within AliceO2Group/O2Physics. Implemented feature-driven enhancements and prepared PWGCF workflows for advanced correlation studies. No major bugs reported fixed this month; primary emphasis on delivering robust features and maintainable code.
June 2025 monthly summary for AliceO2Group/O2Physics. Focused delivery across PWGCF and resonance analysis components with clear business value improvements and enhanced technical capabilities. Key features delivered: - PWGCF Particle Identification Enhancements: new PID function with TPC/TOF n-sigma cuts, ITS PID integration, and expanded monitoring histograms for track/event counts, TPC dEdx, and TOF beta. Commits: 05d68bc75024e512f1ed7eae49e672635f659876; 7b5501c19ee3dc18ed694984776f06dbd293751b - PWGCF Event and Track Selection Refactor: tightened defaults, fixes for configurable vectors, clearer enum naming, and histogram label alignment. Commit: ece670003a9f22a0423117af8c57bb9587e8001b - Resonance Analysis Framework Enhancements: added more detailed event/track selections and configurable correlators to enable precise analysis of resonance particles (Phi, K0, Lambda). Commit: df4c5ed4b805fa7623b843097ef50dcdf541356a Major bugs fixed: - Addressed issues with configurable vectors affecting defaults and reliability; implemented fix for vector handling as part of the event/track selection refactor. Overall impact and accomplishments: - Improved particle identification accuracy and flexibility, more reliable configuration, and expanded monitoring, enabling more robust and scalable physics analyses. - Strengthened cross-component integration (PWGCF, ITS, TPC/TOF) and enhanced data quality monitoring for faster diagnosis and validation. Technologies/skills demonstrated: - Advanced PID development, configuration management, refactoring, and flexible correlator design; enhanced resonance analysis workflows; comprehensive data monitoring.
June 2025 monthly summary for AliceO2Group/O2Physics. Focused delivery across PWGCF and resonance analysis components with clear business value improvements and enhanced technical capabilities. Key features delivered: - PWGCF Particle Identification Enhancements: new PID function with TPC/TOF n-sigma cuts, ITS PID integration, and expanded monitoring histograms for track/event counts, TPC dEdx, and TOF beta. Commits: 05d68bc75024e512f1ed7eae49e672635f659876; 7b5501c19ee3dc18ed694984776f06dbd293751b - PWGCF Event and Track Selection Refactor: tightened defaults, fixes for configurable vectors, clearer enum naming, and histogram label alignment. Commit: ece670003a9f22a0423117af8c57bb9587e8001b - Resonance Analysis Framework Enhancements: added more detailed event/track selections and configurable correlators to enable precise analysis of resonance particles (Phi, K0, Lambda). Commit: df4c5ed4b805fa7623b843097ef50dcdf541356a Major bugs fixed: - Addressed issues with configurable vectors affecting defaults and reliability; implemented fix for vector handling as part of the event/track selection refactor. Overall impact and accomplishments: - Improved particle identification accuracy and flexibility, more reliable configuration, and expanded monitoring, enabling more robust and scalable physics analyses. - Strengthened cross-component integration (PWGCF, ITS, TPC/TOF) and enhanced data quality monitoring for faster diagnosis and validation. Technologies/skills demonstrated: - Advanced PID development, configuration management, refactoring, and flexible correlator design; enhanced resonance analysis workflows; comprehensive data monitoring.
Month: 2025-05. Concise monthly summary focusing on business value and technical achievements for the O2Physics team. Delivered key PWGCF analysis enhancements with flexible configuration, improved data quality for flow observables, and robust initialization fixes that reduce runtime risks and enable more reliable physics results.
Month: 2025-05. Concise monthly summary focusing on business value and technical achievements for the O2Physics team. Delivered key PWGCF analysis enhancements with flexible configuration, improved data quality for flow observables, and robust initialization fixes that reduce runtime risks and enable more reliable physics results.
April 2025 (2025-04) – Focused on delivering measurable improvements to PWGCF flow analysis in O2Physics, with a strong emphasis on accuracy, robustness, and maintainability. Implemented track density and efficiency corrections, refactored configuration and data structures, and introduced conditional compilation for species-specific analyses. Refined selection criteria for Phi, K0, Lambda, and Antilambda to reduce systematic uncertainties and enable precise flow measurements. These changes are designed to improve physics outcomes and support faster validation cycles.
April 2025 (2025-04) – Focused on delivering measurable improvements to PWGCF flow analysis in O2Physics, with a strong emphasis on accuracy, robustness, and maintainability. Implemented track density and efficiency corrections, refactored configuration and data structures, and introduced conditional compilation for species-specific analyses. Refined selection criteria for Phi, K0, Lambda, and Antilambda to reduce systematic uncertainties and enable precise flow measurements. These changes are designed to improve physics outcomes and support faster validation cycles.
March 2025 monthly summary for AliceO2Group/O2Physics focused on PWGCF analysis improvements and essential stability fixes. Delivered enhancements to corrections loading, event/track selection, correlator configurations, and resonance flow weighting, alongside a critical memory-management fix and histogram axis refactor enabling more reliable, scalable analyses and preparation for additional weight bins. These changes improve data quality, analysis throughput, and the physics reach of resonance flow studies.
March 2025 monthly summary for AliceO2Group/O2Physics focused on PWGCF analysis improvements and essential stability fixes. Delivered enhancements to corrections loading, event/track selection, correlator configurations, and resonance flow weighting, alongside a critical memory-management fix and histogram axis refactor enabling more reliable, scalable analyses and preparation for additional weight bins. These changes improve data quality, analysis throughput, and the physics reach of resonance flow studies.
February 2025: Delivered a major feature for enhanced particle and resonance flow analysis with configurable correlations in O2Physics. Implemented 2- and 4-particle flow correlations for the Phi meson, refactored analysis code to accommodate new correlation configurations and analysis regions, and introduced a new GFW class to support correlation analysis. Adjusted mass and momentum distributions to align with the updated analysis, laying groundwork for more detailed flow studies and future refinements.
February 2025: Delivered a major feature for enhanced particle and resonance flow analysis with configurable correlations in O2Physics. Implemented 2- and 4-particle flow correlations for the Phi meson, refactored analysis code to accommodate new correlation configurations and analysis regions, and introduced a new GFW class to support correlation analysis. Adjusted mass and momentum distributions to align with the updated analysis, laying groundwork for more detailed flow studies and future refinements.
January 2025 monthly summary for AliceO2Group/O2Physics focusing on delivering core physics features and pipeline improvements. This period emphasized Phi meson reconstruction with enhanced PID flow, resonance reconstruction refactor with multi-resonance support, and v2 four-particle cumulants expansion across particle species, all integrated into the existing workflow with configurable analysis parameters.
January 2025 monthly summary for AliceO2Group/O2Physics focusing on delivering core physics features and pipeline improvements. This period emphasized Phi meson reconstruction with enhanced PID flow, resonance reconstruction refactor with multi-resonance support, and v2 four-particle cumulants expansion across particle species, all integrated into the existing workflow with configurable analysis parameters.
Monthly summary for 2024-12: Key feature delivered: new nSigma PID function integrated into PWGCF module, with clarifying renames of files/structs and updated processing to use the new function. Major bugs fixed: none reported this month. Overall impact: improved particle identification accuracy in PWGCF, contributing to higher data quality and more reliable analyses. Technologies/skills demonstrated: C++ module integration, refactoring for clarity, PID algorithm integration, and Git-based change management.
Monthly summary for 2024-12: Key feature delivered: new nSigma PID function integrated into PWGCF module, with clarifying renames of files/structs and updated processing to use the new function. Major bugs fixed: none reported this month. Overall impact: improved particle identification accuracy in PWGCF, contributing to higher data quality and more reliable analyses. Technologies/skills demonstrated: C++ module integration, refactoring for clarity, PID algorithm integration, and Git-based change management.
November 2024: Delivered a GFW-based PID flow calculation feature for flow observables in O2Physics. Refactored the PID flow task to the Generic Framework (GFW), introducing a new GfwPidflow struct and integrating GFW correlation configurations and region definitions to standardize and improve calculation of flow coefficients for various particle species across centrality bins. This work enhances consistency, maintainability, and readiness for broader analyses across datasets.
November 2024: Delivered a GFW-based PID flow calculation feature for flow observables in O2Physics. Refactored the PID flow task to the Generic Framework (GFW), introducing a new GfwPidflow struct and integrating GFW correlation configurations and region definitions to standardize and improve calculation of flow coefficients for various particle species across centrality bins. This work enhances consistency, maintainability, and readiness for broader analyses across datasets.

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