
Marian Ivanov developed core data quality and workflow validation features across AliceO2Group/AliceO2, O2Physics, and O2DPG repositories over two months. He integrated Time-Of-Flight measurements into QA tables and enriched time-series data for track analysis, using C++ and the ROOT framework to improve data traceability and processing. Marian introduced TrackQAConverter002 to map and upgrade TOF data formats, ensuring reliable data conversion and streamlined QA workflows. He also built makeDiffWorkflow, a tool for comparing workflow configurations across local and Alien storage, leveraging shell scripting and ROOT TTree caching to enhance validation speed and reproducibility. His work demonstrated technical depth and reliability.

For 2025-04, delivered the makeDiffWorkflow feature for cross-environment workflow.config diffs with ROOT TTree caching, including README and unit tests; this enhances validation speed, reproducibility, and governance across local and Alien storage.
For 2025-04, delivered the makeDiffWorkflow feature for cross-environment workflow.config diffs with ROOT TTree caching, including README and unit tests; this enhances validation speed, reproducibility, and governance across local and Alien storage.
December 2024 monthly summary: Delivered core TOF-enabled QA and data-conversion capabilities across AliceO2 and O2Physics, strengthening data quality, traceability, and track analysis workflows. Key achievements include integrating TOF measurements into QA tables with TOF dX/dZ (int8 precision) and enriching time-series with LTIntegral, deltaT, vertex time, and TPC times to improve track analysis, skimmed-data processing, and QA capabilities. Implemented TrackQAConverter002 in O2Physics to map TOF-related data from v000/v001 to the new v002 format, with a dedicated CMake entry and converter source. Fixed critical input-data handling issues in trackQA002Converter by correcting parameter mappings to tracksQA_000/001. All changes emphasize reliability, upgrade-readiness, and business value through enhanced data quality and streamlined TOF workflows.
December 2024 monthly summary: Delivered core TOF-enabled QA and data-conversion capabilities across AliceO2 and O2Physics, strengthening data quality, traceability, and track analysis workflows. Key achievements include integrating TOF measurements into QA tables with TOF dX/dZ (int8 precision) and enriching time-series with LTIntegral, deltaT, vertex time, and TPC times to improve track analysis, skimmed-data processing, and QA capabilities. Implemented TrackQAConverter002 in O2Physics to map TOF-related data from v000/v001 to the new v002 format, with a dedicated CMake entry and converter source. Fixed critical input-data handling issues in trackQA002Converter by correcting parameter mappings to tracksQA_000/001. All changes emphasize reliability, upgrade-readiness, and business value through enhanced data quality and streamlined TOF workflows.
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