AliceO2Group/O2Physics
Dec 2025 – Feb 2026
2 Months active
Languages Used
C++
Technical Skills
C++data analysishistogrammingparticle physicsC++ developmentC++ programming
Tonmoy Sharma
PROFILE
Tonmoy Sharma
Tonmoy Sharma contributed to the AliceO2Group/O2Physics repository by developing Monte Carlo truth matching for nSigmaTPC histograms, enhancing particle identification accuracy in particle physics analyses. Using C++ and data analysis techniques, Tonmoy aligned reconstructed tracks with Monte Carlo truth, reducing uncertainties and improving the reliability of downstream studies. In addition, Tonmoy optimized spectraTOF processing by refactoring code for better performance and readability, and restored struct name compatibility to maintain existing data workflows. These changes, focused on scientific computing and software maintenance, were integrated with minimal disruption, demonstrating a thoughtful approach to code quality, maintainability, and the preservation of analysis pipelines.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
2
Lines of code
470
Activity Months2
Your Network
463 peopleSame Organization
@cern.ch324
Shared Repositories
139
Work History
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026: Focused on spectraTOF processing improvements and script compatibility for AliceO2Group/O2Physics to preserve end-to-end data workflow. Delivered targeted optimization and maintainability work that strengthens performance, reliability, and code health.
2 Commits • 1 Features
Feb 1, 2026February 2026: Focused on spectraTOF processing improvements and script compatibility for AliceO2Group/O2Physics to preserve end-to-end data workflow. Delivered targeted optimization and maintainability work that strengthens performance, reliability, and code health.
February 2026
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 — AliceO2Group/O2Physics: Delivered Monte Carlo truth matching for nSigmaTPC histograms to enhance particle identification (PID) and analysis fidelity. The feature aligns reconstructed tracks with MC truth to reduce PID-related uncertainties and improve the reliability of downstream physics studies. The change was integrated with minimal disruption to existing analysis pipelines and is documented for traceability.
December 2025
1 Commits • 1 Features
Dec 1, 2025December 2025 — AliceO2Group/O2Physics: Delivered Monte Carlo truth matching for nSigmaTPC histograms to enhance particle identification (PID) and analysis fidelity. The feature aligns reconstructed tracks with MC truth to reduce PID-related uncertainties and improve the reliability of downstream physics studies. The change was integrated with minimal disruption to existing analysis pipelines and is documented for traceability.
Activity
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Quality Metrics
Correctness86.6%
Maintainability86.6%
Architecture86.6%
Performance86.6%
AI Usage26.6%
Skills & Technologies
Programming Languages
C++
Technical Skills
C++C++ developmentC++ programmingdata analysisdata processinghistogrammingparticle physicsperformance optimizationscientific computingsoftware maintenance
Repositories Contributed To
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