February 2026 monthly summary for AliceO2Group/O2Physics. Key feature delivered: Strangeness Filter Enhancement for Omega Particle Event Selection, enabling tracking of high multiplicity events and trigger conditions for Omega particles; this improves event selection and analysis capabilities. No major bugs fixed this month. Overall impact: improved event selection efficiency and analysis readiness for Omega studies, contributing to higher-quality data products and faster physics insights. Technologies/skills demonstrated: filter algorithm enhancement, trigger integration, Git-based collaboration and code contribution, and ROOT/C++ data analysis practices.

January 2026 monthly summary for AliceO2Group/AliceO2 focused on delivering end-to-end data ingestion from the CTP subsystem to the bookkeeping (BK) system. The work enables accurate, centralized data for finance and analytics, reducing manual data transfer and paving the way for downstream reporting.

Monthly summary for 2025-12 — AliceO2Group/O2Physics focused on delivering analytical capabilities for non-prompt cascades and stabilizing MC data processing.

Monthly summary for 2025-11: Delivered two feature enhancements across AliceO2 and O2Physics that strengthen data visualization, analysis capabilities, and processing workflows in the detector data pipeline. Key investments include PbLumi macro improvements in the CTP framework and refactored FV0 non-prompt cascade analysis, with collaboration across repositories to improve reusability and maintainability. These changes enable faster data exploration, richer diagnostics, and more robust physics interpretations.

This month (2025-10) focused on delivering feature enhancements and stabilizing cascade processing in AliceO2Group/O2Physics, with measurable improvements to data quality and analysis flexibility. Key features delivered: - Configurable histogram ranges in NonPromptCascadeTask: added options for maximum/minimum multiplicity and centrality ranges; updated axis specifications to pull from new configurations, reducing output and enabling tailored analyses. Commit: e349c05c41b04626c2031936a2dbaee23267f55e. Major bugs fixed: - Bug fix: Correct execution order in processCascadesData to handle run=0. Reordered function calls so fillMultHistos runs after zorroAccounting and fillCandidatesVector, correcting the run=0 issue. Commit: b7e0e121346b5f352b0934191531281b4c0ad2b5. Overall impact and accomplishments: - Improved reliability and correctness of cascade processing, preventing incorrect histograms at run=0 and enabling more reliable downstream analyses. - Data volume and performance improved through configurable histogram ranges, reducing unnecessary output and storage needs. - Strengthened traceability and maintainability via commit-driven changes and configuration-driven design. Technologies/skills demonstrated: - C++/ROOT-based histogram configuration, axis configuration, and data processing pipelines. - Edge-case handling (run=0) and execution ordering to ensure correctness. - Clear commit history and change traceability enabling reproducibility of analyses.

September 2025 highlights focused on data integrity and run-specific analytics in PWGLF within AliceO2Group/O2Physics. Delivered targeted improvements that fix stale data issues, enable per-run data views, and support split-run analyses, strengthening data reliability and cross-condition comparability.

In August 2025, AliceO2Group/AliceO2 focused on observable improvements and robustness enhancements within the CTP development context, delivering clearer operational telemetry and a more reliable orbit reset workflow. These changes align with the goals of improved maintainability, faster troubleshooting, and a stronger foundation for future feature delivery.

July 2025 deliverables spanned two repos (AliceO2Group/AliceO2 and AliceO2Group/O2Physics), focusing on data validity, measurement analysis, and robustness of rate calculations. Key work included introducing End Of Validity handling for orbit resets in the CTP detector workflow scalers, enhancing TOI name handling and setupTOIs usage, expanding histogram-based analysis for centrality and multiplicity, and hardening rate calculations against out-of-range inputs. The work delivered tangible business value by improving data quality, enabling richer physics analysis, and reducing configuration-edge-case risks in data processing pipelines.

June 2025 monthly summary for AliceO2Group/O2Physics focusing on delivering data-model enhancements for non-prompt cascade analyses and enabling richer physics studies. This period prioritized adding structured data fields, centrality and multiplicity measurements, trigger-of-interest support, and track multiplicity data paths to improve analysis fidelity and downstream results.

May 2025 monthly summary focusing on key features delivered, major bugs fixed, and overall impact for AliceO2Group/AliceO2. Highlights include CTP Configuration IO enhancements, RawDataDecoder diagnostics improvements, and gating correctness for readout consistency checks. The work contributed to higher data quality, reduced log noise, and more efficient processing across the readout and configuration pipelines.

In April 2025, delivered targeted enhancements and robustness improvements across the AliceO2Group repositories, focusing on improved event characterization, reliable data handling, and observable operations. Key changes spanned O2Physics and AliceO2, with impact on filtering quality, orbit data processing, and data integrity checks.

Month: 2025-03 — Delivered end-to-end CTP run configuration persistence across BK, ZMQ-driven orbit handling, and CCDB integration; refactored run management to ensure BK-based configuration propagation, enhancing reliability and reproducibility of runs. Fixed a CTPRunManager issue by removing redundant debug output and eliminating a hardcoded run number. Introduced OmegaHighMult with normalized multiplicity in PWGLF and Trigger, enabling more accurate high-multiplicity event selection. These changes strengthen data integrity, physics analysis capabilities, and cross-repo collaboration across AliceO2 and O2Physics.

February 2025 monthly summary for AliceO2Group/AliceO2 focusing on core features delivered, reliability improvements, and business impact.

January 2025 monthly summary: Focused on feature delivery and code health improvements across AliceO2 and O2Physics. No major bugs fixed this month. Delivered three key features (see Key Achievements) that enable more flexible data processing and analysis workflows, improving runtime efficiency and analysis reproducibility.

Concise monthly summary for 2024-11 focusing on business value and technical achievements across the AliceO2Group repositories O2Physics and AliceO2. Key outcomes include a refactor of topological cuts analysis with tokenize-based parsing and Lambda cosPA tuning, plus robust QC and data-processing improvements that enhance reliability and insight speed.