
Worked extensively on the AliceO2Group/O2Physics repository, delivering advanced data analysis and simulation workflows for high energy and particle physics. Developed configurable, memory-efficient histogram frameworks and enhanced event selection logic using C++ and the ROOT framework, enabling scalable Monte Carlo validation and detailed resonance studies. Refactored analysis tasks such as phiInJets and KstarInOO to support dynamic configuration, improved QA, and robust data/MC comparisons. Integrated jet reconstruction, PID, and track selection enhancements, expanding diagnostic capabilities and analysis flexibility. Focused on maintainable, configuration-driven code, the work improved performance, reproducibility, and data quality for complex physics analyses in collaborative research environments.
June 2026 — AliceO2Group/O2Physics Key features delivered: - Enhanced K*0 resonance analysis in jets with configurable jet parameters, MC efficiency tracking, and refined event selection logic; introduced new configurable parameters and expanded diagnostics to support more detailed resonance studies. - Implemented a new configurable jet radius parameter (cfgJetdR) and maximum jet pseudorapidity (cfgJetMaxEta) to enable finer tuning of jet-based analyses. - Expanded the diagnostic histogram suite to track K*0 spectra within different jet pT ranges, with improved logging consistency and more granular jet-finding data. - Code changes coordinated across the PWGLF K*0 analysis path with two commits co-authored by team members (74d194794848eb13c785fb3fe9116eb28399ce66; aba5f3072a181c5d704ebf76e2c4d268569566a7). Major bugs fixed: - No explicit critical bugs reported this month. Stability improvements included enhancements to logging consistency and handling of edge cases in jet reconstruction and event selection. Overall impact and accomplishments: - These changes enable more precise resonance studies of K*0 within jets, improving MC efficiency tracking and QA for jet analyses, and expanding the physics reach of O2Physics in high-energy collisions. Technologies/skills demonstrated: - C++ reconstruction logic, configuration-driven analysis parameters, histogram diagnostics, improved logging, jet finding stability, and cross-team collaboration (co-authored commits).
June 2026 — AliceO2Group/O2Physics Key features delivered: - Enhanced K*0 resonance analysis in jets with configurable jet parameters, MC efficiency tracking, and refined event selection logic; introduced new configurable parameters and expanded diagnostics to support more detailed resonance studies. - Implemented a new configurable jet radius parameter (cfgJetdR) and maximum jet pseudorapidity (cfgJetMaxEta) to enable finer tuning of jet-based analyses. - Expanded the diagnostic histogram suite to track K*0 spectra within different jet pT ranges, with improved logging consistency and more granular jet-finding data. - Code changes coordinated across the PWGLF K*0 analysis path with two commits co-authored by team members (74d194794848eb13c785fb3fe9116eb28399ce66; aba5f3072a181c5d704ebf76e2c4d268569566a7). Major bugs fixed: - No explicit critical bugs reported this month. Stability improvements included enhancements to logging consistency and handling of edge cases in jet reconstruction and event selection. Overall impact and accomplishments: - These changes enable more precise resonance studies of K*0 within jets, improving MC efficiency tracking and QA for jet analyses, and expanding the physics reach of O2Physics in high-energy collisions. Technologies/skills demonstrated: - C++ reconstruction logic, configuration-driven analysis parameters, histogram diagnostics, improved logging, jet finding stability, and cross-team collaboration (co-authored commits).
February 2026 — AliceO2Group/O2Physics: Delivered Enhanced Data Analysis Capabilities with configurable histograms and refined event selection, enabling researchers to tailor analyses to specific experiment conditions. Integrated a bug fix for kstarInOO.cxx (#14790) to improve reliability of the analysis path. The work enhances scientific productivity by enabling more flexible, reproducible analyses and faster iteration on experimental conditions. Demonstrates strong collaboration, traceability, and code quality.
February 2026 — AliceO2Group/O2Physics: Delivered Enhanced Data Analysis Capabilities with configurable histograms and refined event selection, enabling researchers to tailor analyses to specific experiment conditions. Integrated a bug fix for kstarInOO.cxx (#14790) to improve reliability of the analysis path. The work enhances scientific productivity by enabling more flexible, reproducible analyses and faster iteration on experimental conditions. Demonstrates strong collaboration, traceability, and code quality.
January 2026 monthly performance for AliceO2Group/O2Physics focusing on Jet Data Processing and Event Selection enhancements. Implemented enhanced processJetData functionality, including event selection, jet reconstruction, and new configurations for MC efficiency PID, plus improved histogram tracking for jet data and events. Integrated and stabilized the feature in kstarInOO.cxx with associated fixes and tests to validate processJetData workflows. Commit references: eab46c3de36a44125b63702fc1828c316c834d65; d95a858e332dfc294df2f2dbc9a628416aa3f70e.
January 2026 monthly performance for AliceO2Group/O2Physics focusing on Jet Data Processing and Event Selection enhancements. Implemented enhanced processJetData functionality, including event selection, jet reconstruction, and new configurations for MC efficiency PID, plus improved histogram tracking for jet data and events. Integrated and stabilized the feature in kstarInOO.cxx with associated fixes and tests to validate processJetData workflows. Commit references: eab46c3de36a44125b63702fc1828c316c834d65; d95a858e332dfc294df2f2dbc9a628416aa3f70e.
In 2025-11, delivered a targeted enhancement to the O2Physics event selection workflow by upgrading kstarInOO with configurable parameters for track occupancy selection and PID cut shapes, coupled with a refined TOF cutting shape to improve event selection criteria and data analysis accuracy in particle collision analyses. The work focused on making selection criteria more tunable by analysts, reducing ad-hoc thresholds and improving data quality for downstream physics studies.
In 2025-11, delivered a targeted enhancement to the O2Physics event selection workflow by upgrading kstarInOO with configurable parameters for track occupancy selection and PID cut shapes, coupled with a refined TOF cutting shape to improve event selection criteria and data analysis accuracy in particle collision analyses. The work focused on making selection criteria more tunable by analysts, reducing ad-hoc thresholds and improving data quality for downstream physics studies.
October 2025 – AliceO2Group/O2Physics: Delivered KstarInOO.cxx resonance reconstruction enhancements and stabilized data/MC analyses. Key features include new PID-purity histograms, improved MC truth matching, and explicit separation of K*0 decay channels (K+pi- vs pi+K-) with updated track selection and data/MC differentiation. Major bug fix: restored PID-purity histograms to revert removal and stabilize MC analyses. Impact: more accurate K*0 resonance yields, tighter Data/MC agreement, and a more reliable analysis workflow. Technologies/skills demonstrated: C++ (KstarInOO.cxx), ROOT histogramming, PID, MC truth handling, track selection, and robust patch management.
October 2025 – AliceO2Group/O2Physics: Delivered KstarInOO.cxx resonance reconstruction enhancements and stabilized data/MC analyses. Key features include new PID-purity histograms, improved MC truth matching, and explicit separation of K*0 decay channels (K+pi- vs pi+K-) with updated track selection and data/MC differentiation. Major bug fix: restored PID-purity histograms to revert removal and stabilize MC analyses. Impact: more accurate K*0 resonance yields, tighter Data/MC agreement, and a more reliable analysis workflow. Technologies/skills demonstrated: C++ (KstarInOO.cxx), ROOT histogramming, PID, MC truth handling, track selection, and robust patch management.
September 2025 monthly work summary focused on K*0 resonance analysis in O2Physics. Delivered targeted refactors and feature enhancements to KstarInOO.cxx, improving maintainability, QA capabilities, and MC analysis support. Key outcomes include removal of redundant configuration options and simplified track selection logic, expanded track selection criteria, new QA histograms for pion-based analysis, a global track selection option, improved PID handling for kaons and pions, and extended MC analysis histograms for pion-based K*0 reconstruction. These changes enhance analysis quality, reproducibility, and scalability across datasets, delivering business value through clearer code, robust QA, and broader analysis capabilities.
September 2025 monthly work summary focused on K*0 resonance analysis in O2Physics. Delivered targeted refactors and feature enhancements to KstarInOO.cxx, improving maintainability, QA capabilities, and MC analysis support. Key outcomes include removal of redundant configuration options and simplified track selection logic, expanded track selection criteria, new QA histograms for pion-based analysis, a global track selection option, improved PID handling for kaons and pions, and extended MC analysis histograms for pion-based K*0 reconstruction. These changes enhance analysis quality, reproducibility, and scalability across datasets, delivering business value through clearer code, robust QA, and broader analysis capabilities.
In August 2025, delivered a focused upgrade to the KstarInOO analysis within AliceO2Group/O2Physics, strengthening data/MC processing, data quality, and reliability for downstream physics analyses.
In August 2025, delivered a focused upgrade to the KstarInOO analysis within AliceO2Group/O2Physics, strengthening data/MC processing, data quality, and reliability for downstream physics analyses.
In July 2025, delivered end-to-end Kstar(892) resonance analysis workflow for OO collisions within the O2Physics framework, including track selection criteria, PID for kaons/pions, and basic event selection to filter relevant data for resonance studies. Refactored and enhanced KstarInOO.cxx to support same-event and mixed-event MC validation, with refined event/track selection, MC validation workflows, and QA integration. Added a QA histogram option and tuned vertex cuts to improve precision and relevance of resonance analyses. These efforts decrease analysis turnaround time, improve data quality, and enable more robust physics results from OO collisions.
In July 2025, delivered end-to-end Kstar(892) resonance analysis workflow for OO collisions within the O2Physics framework, including track selection criteria, PID for kaons/pions, and basic event selection to filter relevant data for resonance studies. Refactored and enhanced KstarInOO.cxx to support same-event and mixed-event MC validation, with refined event/track selection, MC validation workflows, and QA integration. Added a QA histogram option and tuned vertex cuts to improve precision and relevance of resonance analyses. These efforts decrease analysis turnaround time, improve data quality, and enable more robust physics results from OO collisions.
In May 2025, delivered a config-driven refactor for histogram management in phiInJets within AliceO2Group/O2Physics. The changes consolidate histogram definitions under configuration flags and drive calculations via configuration, reducing unnecessary computations and clarifying histogram handling. Result: better runtime performance, easier maintenance, and improved configurability for physics analyses.
In May 2025, delivered a config-driven refactor for histogram management in phiInJets within AliceO2Group/O2Physics. The changes consolidate histogram definitions under configuration flags and drive calculations via configuration, reducing unnecessary computations and clarifying histogram handling. Result: better runtime performance, easier maintenance, and improved configurability for physics analyses.
April 2025: Focused feature delivery for O2Physics with a focus on memory efficiency and configurable QA workflows. Implemented a flexible histogram configuration framework and conditional QA histogram generation within the phiInJets analysis path, enabling more efficient resource usage and deeper analysis capabilities.
April 2025: Focused feature delivery for O2Physics with a focus on memory efficiency and configurable QA workflows. Implemented a flexible histogram configuration framework and conditional QA histogram generation within the phiInJets analysis path, enabling more efficient resource usage and deeper analysis capabilities.
March 2025: Delivered major validation and memory-optimization features for O2Physics, focusing on invariant-mass closure testing and efficient histogram management to support scalable data analysis and robust MC-to-data validation.
March 2025: Delivered major validation and memory-optimization features for O2Physics, focusing on invariant-mass closure testing and efficient histogram management to support scalable data analysis and robust MC-to-data validation.

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