March 2026 monthly summary focusing on key accomplishments across AliceO2Group repos, highlighting business value and technical achievements. Delivered features that enhance 2026 data workflows, improved simulation/geometry fidelity, and strengthened documentation to accelerate configuration and onboarding.

February 2026 monthly summary for AliceO2Group/O2Physics: Focus on correctness and robustness in orbit extraction within the event selection pipeline. Implemented a targeted bug fix to ensure orbits-per-timeframe extraction is applied only to the appropriate data type (Data vs MC), preventing misapplication during real data and Monte Carlo processing. This strengthens data integrity, reduces workflow discrepancies, and preserves production stability. Technologies demonstrated include C++/Common utilities, runInfo data handling, and data-type gating logic.

January 2026 monthly summary for AliceO2Group/O2Physics focused on cleanup of the analysis framework by removing an obsolete event selection task and its related workflow. This work delivers a leaner, more maintainable codebase, reduces maintenance debt, and lowers the risk of stale task execution within the O2 physics analysis pipeline. It also simplifies onboarding for new contributors and accelerates future refactors by reducing unnecessary complexity.

Month 2025-12: Focused delivery on enhancements to the Time-Dependent QA workflow and event-selection analytics in O2Physics. Implemented two key feature areas with direct business value for QA reliability and data-analysis fidelity: (1) Time-Dependent QA Task Enhancements, including 3D histograms for visualizing NPV vs ZNA(C) vs time and expanded configuration options to enable more flexible time-dependent analyses; commits include a434276c9ba37ff3e66b00360193852fdeee887e and 1605a9f4d1c1581f41a0c5760b29193640196612. (2) Occupancy Median Time in Event Selection, adding a new occupancy median time column and updating the event selection logic to incorporate this metric, yielding more accurate occupancy-based analytics; commit 6826646b71fe9cce23673b1823ae99376d5b369a. No major bugs documented in this period; focus was on feature delivery and quality improvements. These changes collectively improve QA data quality, enable richer time-dependent analyses, and support better physics decision-making.

November 2025: Focused on strengthening EventSelectionModule accuracy and expanding monitoring capabilities in O2Physics. Delivered a critical bug fix for occupancy bit handling at Time Frame (TF) edges and added QA/time-dependent histograms to support data quality assurance and physics analyses. These changes improve collision data processing reliability, monitoring coverage, and overall data integrity, enabling faster QA feedback and more robust physics results.

October 2025 highlights for the O2Physics project focused on stability, data quality, and physics-relevant histogram improvements. The team delivered a robust crash-prevention fix for MC Pb-Pb track processing, and advanced histogram-based analytics for ZNA/ZNC collisions, including MC QA comparisons and histogram tuning to better represent event selections. These changes strengthen the reliability of MC analyses and improve alignment between simulated and reconstructed data, enabling more precise physics studies in heavy-ion collisions.

September 2025 (2025-09) — In AliceO2Group/O2Physics, delivered a focused feature and a stability fix that improve data analysis capabilities and QA reliability for heavy-ion workflows. Key outcomes include a granular ITS dead zone histogram collection feature with a conditional flag to enable filling histograms for inactive ITS chips, providing per-layer and per-orbit granularity for dead chips vs orbit analysis; and a stability improvement for the event selection QA task on MC Pb-Pb datasets by guarding the ambi tracks loop to require ambId >= 0, preventing potential crashes.

August 2025 (2025-08) focused on expanding QA coverage, stabilizing MC production configuration, and strengthening data quality monitoring in O2Physics. The work enhances data reliability for physics analyses and accelerates issue diagnosis through richer instrumentation, configurable checks, and shared config patterns.

Monthly summary for 2025-07 focusing on feature delivery and QA improvements in AliceO2Group/O2Physics. Major work centered on introducing pileup-free time-dependent multiplicity analysis in the DPG module and delivering detector occupancy QA enhancements with data vs MC comparisons, refined event selection, and phi-dependent studies. Also automated alignment data extraction (orbitsPerTF) from CCDB for production tagging, and expanded binning to support granular QA and analytics. Overall, these efforts improved measurement precision, data/MC agreement, and the reliability of physics-ready analytics in O2Physics.

June 2025 — AliceO2Group/O2Physics: Delivered Time-Dependent QA enhancements with cross-detector monitoring and config naming standardization, enabling time-resolved analysis and improved data quality controls. No major bug fixes this month; emphasis on feature delivery and maintainability.

May 2025 – AliceO2Group/O2Physics: Focused on improving QA data quality and MC configurability to enhance physics analysis reliability and production workflow. Implemented targeted histogram enhancements for occupancy and track-type QA, and added configurable MC time/frame orbit settings to support PbPb configurations and correct nBCsPerTF handling. No explicit bug fixes reported this month; work was primarily feature-driven with clear business value in data quality and configurability.

April 2025 (2025-04) monthly summary for AliceO2Group/O2Physics focused on delivering feature-rich QA enhancements to strengthen PID performance studies across varied event conditions. This month introduced a new analysis task to profile dE/dx vs occupancy (dEdxVsOccupancyWithTrackQAinfo), integrated it into the build via a CMake workflow, and expanded QA instrumentation by adding a 3D histogram for dE/dx vs centrality and occupancy within a narrow pT bin. Updated eventSelectionQa.cxx to include the new QA histograms. No major bug fixes were recorded this month; effort centered on feature delivery, QA enhancements, and build integration, delivering tangible business value through improved PID reliability and reproducibility of analyses.

March 2025 monthly summary for AliceO2Group/O2Physics focusing on QA instrumentation improvements that strengthen detector performance monitoring and data quality. Delivered two feature suites with configurable options, along with targeted bug fixes, enabling more granular visibility, safer experimentation, and proactive issue detection. Business value centers on improved reliability, faster feedback to operations, and better resource planning through enhanced QA coverage.

February 2025: Delivered enhancements to Time-Dependent QA and Event Selection in AliceO2Group/O2Physics, plus targeted cleanup to simplify event selection logic. The work improves data quality monitoring, configurability, and maintainability, setting the stage for more advanced QA and streamlined data processing.

Month: 2025-01 — Delivered refactor and enhancements to the DPG module in O2Physics to support time-dependent QA metrics, enabling richer analysis and more robust handling of UPC vertex settings and global track properties. This work improves QA monitoring accuracy and supports data-driven performance improvements across the physics workflow.

Month 2024-12 | Repository: AliceO2Group/O2Physics. Key feature delivered: Detector Occupancy QA Enhancements, introducing new ROF occupancy selection bits and checks, with refined logic for applying cuts and filling histograms to improve occupancy analysis accuracy and granularity. Major bugs fixed: none reported this month. Overall impact: enhanced QA precision supports more reliable detector performance monitoring and data-quality assessment, enabling earlier detection of occupancy-related issues and smoother downstream physics analyses. Technologies/skills demonstrated: C++/ROOT-based QA development, occupancy analysis, histogramming, and selection-bit logic, plus code integration and review practices. Notable delivery linked to commit: f661f3e5562bf90c2762004ce832f3bcd62c61e9 ([DPG] adding checks after ROF occupancy sel.bits (#9109)).

November 2024 (Month: 2024-11) delivered key enhancements in the AliceO2Group/O2Physics repository focused on ROF occupancy QA and Detector QA. The work consolidates occupancy QA improvements through refactoring and reorganization of ROF occupancy analysis, updates to detector QA tasks, and the addition of new histograms. It refines occupancy calculations and veto/time-of-flight cuts and introduces a new event selection bit to filter high-multiplicity collisions in the previous ROF. Major changes include code cleanups and updates to rofOccupancyQa.cxx and related QA tasks, with commits: [DPG] Cleanup + update of rofOccupancyQa.cxx (#8241); [DPG] Cleanup and update of rofQA and detectorQA tasks (#8363); [DPG] Update rofOccupancyQa.cxx - fixes (#8553); [Common/EventSelection,DPG] adding kNoHighMultCollInPrevRof event selection bit (#8652).

Month: 2024-10 — AliceO2Group/O2Physics: Delivered a targeted feature enhancement to event selection with FT0C-based occupancy estimation and in-ROF pileup handling. Refactored the event selection task to support occupancy-based decision-making, and introduced new bits for in-ROF pileup rejection to improve selection accuracy and data quality. The work provides a more robust, scalable path for high-rate data taking and cleaner physics analyses. Commit reference: 3647f77278adb70a5fe3eab1b5c680a243c73f65, related to PR/issue #8124.