February 2026 (2026-02) — Key accomplishments in the AliceO2Group/O2Physics repository. Implemented Xi+(N) bachelor Trigger Filtering Refinement to improve event selection, and prepared the change for production integration. No major bugs reported in this period. Overall impact: higher-purity Xi+(N) bachelor event samples, enabling more reliable physics analyses and potential reductions in background, with more efficient downstream processing. Technologies demonstrated: C++ trigger logic enhancements, Git-based traceability with a concrete commit reference, and PR-driven development aligned with PWGHF trigger filtering efforts.

January 2026 (2026-01) monthly summary for AliceO2Group/O2Physics. Delivered high-value features for D/B meson analysis, enhanced event selection and vertexing, and monitoring/governance improvements, while addressing several critical bugs that improved analysis fidelity and data quality. Key features delivered include: 1) D Meson Analysis Improvements and Signal Matching; 2) Event Selection, Filtering, and Vertexing Enhancements; 3) Luminosity Stability Analysis Workflow; 4) QA Efficiency and Data Processing Enhancements; 5) Codebase Governance: CODEOWNERS Update. Major bugs fixed include typos in MC matching, improvements to signal matching robustness, removal of propagateTracksToVertex for additional HF creators, event selection with zorro in track index skim, cascade sign selection, vertexing for charm baryons, and tracking efficiency without collision association. These changes collectively increase signal purity, reliability of physics results, and maintainability of the codebase.

December 2025 monthly summary focusing on delivered features, robustness, and impact across O2Physics and O2DPG. The work emphasizes business value through improved analysis capabilities, more reliable test suites, and performance-oriented refactors enabling faster iteration and more robust release readiness.

In 2025-11, the O2Physics work delivered stability, modularity, and automation improvements, enabling more reliable data processing and faster analysis workflow integration. Highlights include a robust collision association fix, new headers exposure in AnalysisCore, introduction of an Event Filtering Utilities Library, and auto-configured interaction-rate handling for HF event selection, backed by targeted commits across AO2Physics modules. These changes reduce manual configuration, improve cross-repo interoperability, and strengthen the foundation for PWG analyses.

October 2025 monthly summary for the AliceO2Group repositories. Delivered targeted robustness and efficiency improvements across AliceO2 and O2Physics, enhancing calibration reliability, HLT stability, and signal-processing correctness. These changes reduce runtime failures, improve data quality, and enable more flexible analysis pipelines.

September 2025 summary focused on strengthening data quality, ML-driven processing, and analysis coverage across O2 physics and HF workflows. Key progress includes ML input feature enhancements for D* processing with a flag to control D0 daughter swapping and optional TrackQA-based event rejection safeguards; a fix to D0 calibration data compression to ensure accurate results; expanded TOF PID recalibration coverage for additional Heavy Flavor MC productions; addition of deuteron support in the HF MC TOF PID task; and QC/Dzero meson integration with environment/dependency improvements for O2DPG to streamline HF analyses. These changes improve data quality, broaden analysis scope, and enable more reliable, reproducible pipelines for physics results.

Concise monthly summary for August 2025 (AliceO2Group/O2Physics): Delivered critical bug fixes and a new background estimation feature, focusing on improving physics analysis reliability and reproducibility. Key changes were implemented across the O2Physics module to ensure correct angular calculations, reliable CCDB access, and a configurable background estimation workflow for charm resonances.

July 2025 performance snapshot for O2Physics and AliceO2: delivered configurable data-processing features and robust data-model fixes across two repositories, enabling safer, more scalable analyses and preparing the workflow for 2025_pass1. The month emphasized configurable workflows, correctness of data structures, and targeted bug fixes that improve physics results and maintainability.

June 2025 performance highlights across AliceO2Group/O2DPG and O2Physics. Delivered robustness and configurability improvements to the particle generation pipeline, expanded D0 calibration data production, and enhanced PWGHF event selection and data processing tracking. Implemented production-safe controls to prevent miscalibration in MC TOF and introduced metadata-driven traceability to improve reproducibility and data provenance. These changes improve reliability, data quality, and science outcomes for calibration workflows and physics analyses.

May 2025 monthly summary: Strengthened governance, stability, and physics fidelity across O2Physics, O2DPG, and AliceO2. Key outcomes include updated code ownership for PWGHF areas, restoration of trigger behavior for charm femto, cleanup of Ds resonance trigger configuration, and expansion of the PDG database with Ds and Xic resonances. These changes improve review efficiency, ensure consistent data selection, simplify validation workflows, and enable more accurate simulations for jet studies and heavy-flavor analyses.

Concise monthly summary for 2025-04 highlighting key feature delivery, bug fixes, and impact across O2Physics and O2DPG. Focus on enabling broader charm polarization studies, more reliable triggers, and richer event information via configurable generators and HF processing.

March 2025: Delivered key enhancements to heavy flavor processing in O2Physics, improved ML-based selection propagation, and upgraded trigger/configuration for Xi+bachelor analyses. These changes boost physics reach, processing robustness, and configurability across heavy-flavor workflows.

February 2025 – O2Physics: Focused on consolidating heavy-flavor event selection and Monte Carlo filtering to improve signal purity and HF reconstruction. Key improvements include exclusive MC signal selection, strangeness-tracking based filtering for Xi/XiPiPi channels, and HF filter updates with new decay channels and refined criteria. These changes reduce background contamination, streamline analysis workflows, and enhance the reliability of HF measurements. No major defects reported; shipped robust changes validated with targeted commits to PWGHF/Trigger.

January 2025 focused on delivering robust, high-value features for heavy-flavor physics, improving accuracy of MC truth matching under material interactions, and streamlining analysis workflows across the O2 physics stack. Deliverables span HF-trigger enhancements, trigger robustness, material-aware matching, configurable background handling, and configuration validation for NoDecay scenarios, with cross-repo impact on O2Physics, O2DPG, and alidist.

December 2024 performance summary focused on delivering higher-fidelity MC-based analysis, robust data flow, and configuration discipline across O2Physics and O2DPG. Key work included feature-rich enhancements to analysis axes, streamlined selection logic, and configuration alignment to central CCDB practices. The month also improved end-to-end data processing for MC and real data, enabling more precise physics measurements and easing future analyses.

In 2024-11, the team delivered substantial improvements across O2Physics and O2DPG, focusing on data-quality, analysis workflows, and reliability. Core features expanded data formats and analysis capabilities, while targeted hardening reduced crash risk and improved initialization. The work underpins more accurate PWGHF D2H/B0 analyses, refined D* and resonance processing with ML support, and automated data integrity checks to prevent downstream failures.

October 2024 monthly performance summary for AliceO2Group/O2Physics: Delivered core feature enhancements in TOF Monte Carlo processing and the JPsi-D reduced data model, alongside critical bug fixes in B-meson reconstruction. The work improved calibration workflows, introduced time-dependent response handling, and expanded track-level data for granular JPsi-D analyses, enabling more reliable physics results and faster troubleshooting.