AliceO2Group/O2Physics
Apr 2026 – Jun 2026
3 Months active
Languages Used
C++
Technical Skills
C++ programmingalgorithm optimizationdata processingdata analysisscientific computingC++
Rocco Liotino
PROFILE
Rocco Liotino
Over a three-month period, contributed to the AliceO2Group/O2Physics repository by developing and enhancing data processing features for HMPID analyses in high energy physics. Delivered a unified data model supporting both real and Monte Carlo data, enabling storage of particle PDG codes and vertex positions for improved cross-dataset validation. Addressed data integrity by fixing charge calculation bugs and introducing cluster size validation, which strengthened downstream analytics reliability. Leveraged C++ and template metaprogramming to implement templated processing pipelines, integrating quality assurance and analysis features. The work established a robust foundation for reproducible scientific computing and streamlined future analytics within the O2Physics workflow.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
498
Activity Months3
Your Network
493 peopleSame Organization
@cern.ch348
Work History
June 2026
1 Commits • 1 Features
Jun 1, 2026Month 2026-06 — Key feature delivered for O2Physics: HMPID Monte Carlo (MC) Truth Support and Unified Data Model. Implemented a new output table and templated processing to handle both real data and MC simulations, enabling storage of HMPID track PDG codes and vertex positions. This establishes a unified data pathway for MC and real data analyses in HMPID and lays groundwork for broader MC truth validation across the detector. Major bugs fixed: None reported this month for this scope. Overall impact: Strengthens cross-analysis consistency and reproducibility by enabling MC truth validation and unified data handling for HMPID analyses, paving the way for easier comparisons between data and simulations and more robust downstream analytics. Technologies/skills demonstrated: Monte Carlo truth integration, templated data processing, unified data model design, version-controlled feature delivery, cross-dataset compatibility.
1 Commits • 1 Features
Jun 1, 2026Month 2026-06 — Key feature delivered for O2Physics: HMPID Monte Carlo (MC) Truth Support and Unified Data Model. Implemented a new output table and templated processing to handle both real data and MC simulations, enabling storage of HMPID track PDG codes and vertex positions. This establishes a unified data pathway for MC and real data analyses in HMPID and lays groundwork for broader MC truth validation across the detector. Major bugs fixed: None reported this month for this scope. Overall impact: Strengthens cross-analysis consistency and reproducibility by enabling MC truth validation and unified data handling for HMPID analyses, paving the way for easier comparisons between data and simulations and more robust downstream analytics. Technologies/skills demonstrated: Monte Carlo truth integration, templated data processing, unified data model design, version-controlled feature delivery, cross-dataset compatibility.
June 2026
May 2026
1 Commits • 1 Features
May 1, 2026May 2026 monthly summary for AliceO2Group/O2Physics: Delivered the HMPID Data Processing Enhancement in the O2Physics pipeline, introducing stronger quality checks and integrated analysis features to improve data reliability and enable faster, analytics-ready data. No major bugs fixed this month. Overall impact includes higher data quality, reduced downstream validation effort, and a stronger foundation for future analytics and processing features. Demonstrated technologies and skills include data processing pipelines, quality assurance practices, feature integration, and commit-driven development in a collaborative repo across the O2 Physics team.
May 2026
1 Commits • 1 Features
May 1, 2026May 2026 monthly summary for AliceO2Group/O2Physics: Delivered the HMPID Data Processing Enhancement in the O2Physics pipeline, introducing stronger quality checks and integrated analysis features to improve data reliability and enable faster, analytics-ready data. No major bugs fixed this month. Overall impact includes higher data quality, reduced downstream validation effort, and a stronger foundation for future analytics and processing features. Demonstrated technologies and skills include data processing pipelines, quality assurance practices, feature integration, and commit-driven development in a collaborative repo across the O2 Physics team.
April 2026
1 Commits
Apr 1, 2026April 2026 monthly summary for AliceO2Group/O2Physics focusing on the HMPID Table Producer data validation and calculation bug fix. Delivered stability improvements and header updates that enhance data integrity and processing reliability for downstream analyses.
1 Commits
Apr 1, 2026April 2026 monthly summary for AliceO2Group/O2Physics focusing on the HMPID Table Producer data validation and calculation bug fix. Delivered stability improvements and header updates that enhance data integrity and processing reliability for downstream analyses.
April 2026
Activity
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Quality Metrics
Correctness86.6%
Maintainability80.0%
Architecture86.6%
Performance80.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
C++C++ programmingData ProcessingHigh Energy Physics SoftwareTemplate Metaprogrammingalgorithm optimizationdata analysisdata processingscientific computing
Repositories Contributed To
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