
During May 2026, this developer enhanced the AliceO2Group/O2Physics repository by adding a centrality branch to the Lc candidate tree, enabling storage and analysis of centrality information for collision events. Working primarily in C++, they focused on data modeling and branch-based development to improve data handling and analytics readiness for downstream physics analyses. Their disciplined commit messaging and collaborative workflow within the PWGHF group ensured strong traceability throughout the process. Although no bugs were fixed during this period, the delivered feature supports more precise and robust physics studies by making centrality-aware data available for Lc candidate analysis and research.
May 2026 — AliceO2Group/O2Physics: Key feature delivered is the centrality branch addition to the Lc candidate tree, enabling centrality data storage and analysis for collision events, improving data handling and downstream physics analyses. No major bugs fixed this month. Overall impact: centrality-aware data model enhances data quality, analytics readiness, and supports more precise physics studies in the Lc candidate path. Technologies/skills demonstrated: C++ data modeling, branch-based development, disciplined commit messaging, and collaborative workflow within PWGHF.
May 2026 — AliceO2Group/O2Physics: Key feature delivered is the centrality branch addition to the Lc candidate tree, enabling centrality data storage and analysis for collision events, improving data handling and downstream physics analyses. No major bugs fixed this month. Overall impact: centrality-aware data model enhances data quality, analytics readiness, and supports more precise physics studies in the Lc candidate path. Technologies/skills demonstrated: C++ data modeling, branch-based development, disciplined commit messaging, and collaborative workflow within PWGHF.

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