AliceO2Group/O2Physics
Aug 2025 – Aug 2025
1 Month active
Languages Used
C++
Technical Skills
C++ DevelopmentCorrelation StudiesData AnalysisHigh Energy PhysicsParticle Physics
Tushar Bhalla
PROFILE
Tushar Bhalla
Developed a centrality-based Lc correlator analysis feature for the AliceO2Group/O2Physics repository, expanding the analytical capabilities of Lc studies in high energy and particle physics. The work involved integrating centrality information into existing C++ data structures and processing logic, enabling event selection and data categorization based on centrality percentiles. This approach enhanced correlation studies by introducing centrality as a new analysis dimension, providing a scalable foundation for future analyses. The implementation focused on C++ development, correlation studies, and data analysis, and was directly linked to the PWGHF correlation task, supporting more flexible and detailed exploration of physics data.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
274
Activity Months1
Your Network
478 peopleSame Organization
@cern.ch336
Shared Repositories
142
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Work History
August 2025
1 Commits • 1 Features
Aug 1, 2025Monthly Summary for 2025-08: Delivered a centrality-based Lc correlator analysis feature in the O2Physics repository. Introduced centrality as a new analysis dimension by integrating centrality information into data structures and processing logic, enabling event selection and data categorization based on centrality percentiles and enhancing correlation analyses. This work is linked to the PWGHF correlation task (#11724) and is implemented in the commit e9bd27ca9079c851d904d1d2121a31fd51db5166. The feature expands the physics reach of Lc studies and provides a scalable foundation for future centrality-driven analyses.
1 Commits • 1 Features
Aug 1, 2025Monthly Summary for 2025-08: Delivered a centrality-based Lc correlator analysis feature in the O2Physics repository. Introduced centrality as a new analysis dimension by integrating centrality information into data structures and processing logic, enabling event selection and data categorization based on centrality percentiles and enhancing correlation analyses. This work is linked to the PWGHF correlation task (#11724) and is implemented in the commit e9bd27ca9079c851d904d1d2121a31fd51db5166. The feature expands the physics reach of Lc studies and provides a scalable foundation for future centrality-driven analyses.
August 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
C++ DevelopmentCorrelation StudiesData AnalysisHigh Energy PhysicsParticle Physics
Repositories Contributed To
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