
Developed and integrated the ALICE3 Data Quality (DQ) data model and analysis workflows within the AliceO2Group/O2Physics repository, establishing a foundation for automated data quality checks and efficiency calculations. The work focused on designing robust data structures and workflow automation to support ALICE3 DQ integration, enhancing data quality visibility and reproducibility of QA signals. Leveraging C++ for implementation, the approach emphasized algorithm design and data modeling to streamline the data-to-physics pipeline. This targeted, single-commit contribution laid the groundwork for future ALICE3 DQ deployment, demonstrating strong version control practices and a methodical approach to software development and data analysis.
January 2026 (2026-01) monthly summary for AliceO2Group/O2Physics: The key feature delivered was the ALICE3 DQ data model and analysis workflows, enabling data quality checks and efficiency calculations. This work integrated the ALICE3 DQ data model into the repository via a single commit (f1979b53dc4e7c279781c1a888e0b3814d7fc0ed) associated with PR #14291. No major bugs were fixed this month. Impact: establishes the foundation for ALICE3 DQ integration, improves data quality visibility and QA automation, and strengthens the data-to-physics pipeline. Technologies demonstrated include data modeling, workflow design and automation, data quality analytics, efficiency computations, and strong version control.
January 2026 (2026-01) monthly summary for AliceO2Group/O2Physics: The key feature delivered was the ALICE3 DQ data model and analysis workflows, enabling data quality checks and efficiency calculations. This work integrated the ALICE3 DQ data model into the repository via a single commit (f1979b53dc4e7c279781c1a888e0b3814d7fc0ed) associated with PR #14291. No major bugs were fixed this month. Impact: establishes the foundation for ALICE3 DQ integration, improves data quality visibility and QA automation, and strengthens the data-to-physics pipeline. Technologies demonstrated include data modeling, workflow design and automation, data quality analytics, efficiency computations, and strong version control.

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