
Over five months, contributed to the AliceO2Group/O2Physics repository by developing and refining features for D0-hadron correlation analysis in high energy and particle physics. Leveraging C++ and data analysis techniques, integrated machine learning models to improve candidate selection and incorporated efficiency corrections directly into analysis pipelines. Enhanced event-level data correlation by associating tracks and Monte Carlo particles with collision identifiers, and introduced efficiency weighting within histogramming routines. Addressed analysis granularity by enabling prompt versus non-prompt categorization and corrected selection logic for D0 particles. The work demonstrated a methodical approach to software development, focusing on accuracy, maintainability, and physics-driven requirements.
Concise monthly summary for Feb 2026 (AliceO2Group/O2Physics). Focused on delivering a targeted feature that enhances analysis accuracy and demonstrates solid engineering practices. No explicit bug fixes were recorded in the provided data.
Concise monthly summary for Feb 2026 (AliceO2Group/O2Physics). Focused on delivering a targeted feature that enhances analysis accuracy and demonstrates solid engineering practices. No explicit bug fixes were recorded in the provided data.
September 2025 (2025-09): Focused on improving event-level data correlation for heavy flavor analyses in O2Physics. Delivered Preslice integration by adding Preslice objects to associate tracks and McParticles with collision IDs in PWGHF/HFC/TableProducer, enabling robust event-level data correlation and more accurate analyses. The work was implemented within the AliceO2Group/O2Physics repository with a dedicated commit.
September 2025 (2025-09): Focused on improving event-level data correlation for heavy flavor analyses in O2Physics. Delivered Preslice integration by adding Preslice objects to associate tracks and McParticles with collision IDs in PWGHF/HFC/TableProducer, enabling robust event-level data correlation and more accurate analyses. The work was implemented within the AliceO2Group/O2Physics repository with a dedicated commit.
July 2025 performance summary for AliceO2Group/O2Physics focusing on D0 hadron analyses. Delivered a feature enhancement to D0 Hadron Correlation Analysis enabling separate categorization of prompt vs non-prompt D0 and hadron origins, and fixed a critical D0 selection logic to ensure only generated D0 with the correct PDG code is considered. These changes improve analysis granularity, accuracy of efficiency calculations, and overall reliability of D0-hadron studies.
July 2025 performance summary for AliceO2Group/O2Physics focusing on D0 hadron analyses. Delivered a feature enhancement to D0 Hadron Correlation Analysis enabling separate categorization of prompt vs non-prompt D0 and hadron origins, and fixed a critical D0 selection logic to ensure only generated D0 with the correct PDG code is considered. These changes improve analysis granularity, accuracy of efficiency calculations, and overall reliability of D0-hadron studies.
February 2025 — AliceO2Group/O2Physics: Delivered ML-assisted D0-hadron correlation analysis with efficiency corrections. Implemented MCGen/MCRec-aware data structures and analysis paths including promptness and track origin to enable more detailed correlation studies, improving physics insight and result accuracy. The work is tracked in commit [PWGHF] Add ML and D0 efficiency in D0-h correlation (#9775).
February 2025 — AliceO2Group/O2Physics: Delivered ML-assisted D0-hadron correlation analysis with efficiency corrections. Implemented MCGen/MCRec-aware data structures and analysis paths including promptness and track origin to enable more detailed correlation studies, improving physics insight and result accuracy. The work is tracked in commit [PWGHF] Add ML and D0 efficiency in D0-h correlation (#9775).
Month: 2024-12 — AliceO2Group/O2Physics focused on delivering ML-assisted discrimination for D0-hadron correlation analysis and integrating ML scores into the analysis pipeline. The work aligns with business and science goals by improving candidate selection and analysis precision for charged particle correlations.
Month: 2024-12 — AliceO2Group/O2Physics focused on delivering ML-assisted discrimination for D0-hadron correlation analysis and integrating ML scores into the analysis pipeline. The work aligns with business and science goals by improving candidate selection and analysis precision for charged particle correlations.

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