AliceO2Group/O2Physics
Oct 2024 – Jan 2026
6 Months active
Languages Used
C++CMake
Technical Skills
Build System ConfigurationCode RefactoringC++C++ DevelopmentData AnalysisHigh Energy Physics
Suraj Prasad
PROFILE
Suraj Prasad
Over six months, this developer enhanced the AliceO2Group/O2Physics repository by building and refining modular analysis tools for high energy and particle physics workflows. They consolidated strangeness analysis utilities, improved build reliability through CMake configuration, and expanded strange-hadron studies with new histogramming and data filtering features. Their work included implementing configurable flattenicity calculations, memory management improvements, and robust bug fixes for invariant mass analysis. Using C++ and ROOT, they introduced flexible QA pipelines and a histogram metrics registry for track data, enabling more efficient diagnostics and maintainability. Their contributions emphasized modularity, traceability, and adaptability for evolving physics analysis requirements.
Overall Statistics
Feature vs Bugs
73%Features
Repository Contributions
13Total
Bugs
3
Commits
13
Features
8
Lines of code
3,950
Activity Months6
Your Network
478 peopleSame Organization
@cern.ch336
Shared Repositories
142
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Work History
January 2026
1 Commits • 1 Features
Jan 1, 2026Month: 2026-01 — AliceO2Group/O2Physics: Focused on strengthening data QA and metrics collection for tracks. Key feature delivered: Track QA Plot Processing and Histogram Metrics Registry, enabling enhanced QA plotting and a registry for track metrics. No major bugs fixed this month. Overall impact: improved track QA analysis, faster diagnostics, and better data quality assurance for physics analyses. Technologies/skills demonstrated: C++/O2 data processing, function-based QA pipelines, histogram registries, modular software design, commit traceability.
1 Commits • 1 Features
Jan 1, 2026Month: 2026-01 — AliceO2Group/O2Physics: Focused on strengthening data QA and metrics collection for tracks. Key feature delivered: Track QA Plot Processing and Histogram Metrics Registry, enabling enhanced QA plotting and a registry for track metrics. No major bugs fixed this month. Overall impact: improved track QA analysis, faster diagnostics, and better data quality assurance for physics analyses. Technologies/skills demonstrated: C++/O2 data processing, function-based QA pipelines, histogram registries, modular software design, commit traceability.
January 2026
March 2025
2 Commits • 1 Features
Mar 1, 2025Month 2025-03: Delivered targeted bug fixes and feature enhancements in O2Physics, focusing on Xi mass analysis reliability, configurable mass histograms, and code maintainability. The work improves analysis flexibility, debugging capabilities, and long-term maintainability of invariant-mass workflows.
March 2025
2 Commits • 1 Features
Mar 1, 2025Month 2025-03: Delivered targeted bug fixes and feature enhancements in O2Physics, focusing on Xi mass analysis reliability, configurable mass histograms, and code maintainability. The work improves analysis flexibility, debugging capabilities, and long-term maintainability of invariant-mass workflows.
February 2025
3 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for AliceO2Group/O2Physics focusing on expanding strange-hadron analysis with flattenicity correlations and consolidating related commits into a cohesive feature set. Delivered updated analysis capabilities that enable deeper physics insights and improved data-model constraints for FV0-based strange-hadron studies, with targeted improvements to selection, MC processing, and cross-species configurations.
3 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for AliceO2Group/O2Physics focusing on expanding strange-hadron analysis with flattenicity correlations and consolidating related commits into a cohesive feature set. Delivered updated analysis capabilities that enable deeper physics insights and improved data-model constraints for FV0-based strange-hadron studies, with targeted improvements to selection, MC processing, and cross-species configurations.
February 2025
January 2025
2 Commits • 2 Features
Jan 1, 2025January 2025: Delivered targeted PWGLF improvements within AliceO2Group/O2Physics to enhance analysis robustness, maintainability, and flexibility for performance studies. Implemented a refactor of the Strangeness Analysis and O2Linter cleanup, plus a configurable option to compute Flattenicity using reconstructed tracks (MCRec) rather than generated tracks (MCGen). These changes align with O2Physics standards and enable more realistic, configurable analysis workflows.
January 2025
2 Commits • 2 Features
Jan 1, 2025January 2025: Delivered targeted PWGLF improvements within AliceO2Group/O2Physics to enhance analysis robustness, maintainability, and flexibility for performance studies. Implemented a refactor of the Strangeness Analysis and O2Linter cleanup, plus a configurable option to compute Flattenicity using reconstructed tracks (MCRec) rather than generated tracks (MCGen). These changes align with O2Physics standards and enable more realistic, configurable analysis workflows.
November 2024
4 Commits • 2 Features
Nov 1, 2024Performance-review style monthly summary for 2024-11 covering key features delivered, major bugs fixed, overall impact, and technologies demonstrated in the O2Physics repo. Focus on business value and technical achievements.
4 Commits • 2 Features
Nov 1, 2024Performance-review style monthly summary for 2024-11 covering key features delivered, major bugs fixed, overall impact, and technologies demonstrated in the O2Physics repo. Focus on business value and technical achievements.
November 2024
October 2024
1 Commits • 1 Features
Oct 1, 2024Month: 2024-10 Key features delivered: - Consolidated strangeness analysis tools under PWGLF/Strangeness by moving the lambdak0sflattenicity analysis code from PWGMM/UE to PWGLF/Strangeness; updated build references and documentation accordingly (commit 1f5c6a6f61a6a3e08aefe9ee045d7938ad3a9964). - Updated CMakeLists.txt in both PWGMM/UE and PWGLF/Strangeness to reflect the new location, ensuring correct compilation and dependencies. - Centralized strangeness-related analysis tooling within PWGLF, reducing duplication and simplifying future enhancements. Major bugs fixed: - No high-priority bugs reported this month in O2Physics related to this work; the focus was on refactor and reorganization to improve long-term stability. Overall impact and accomplishments: - Improved modularity and maintainability by consolidating analysis tools under a single PWGLF module, enabling faster feature iterations and easier onboarding for contributors. - Clearer ownership and boundaries for strangeness analysis utilities, with traceable changes via commit 1f5c6a6f61a6a3e08aefe9ee045d7938ad3a9964. Technologies/skills demonstrated: - C++ modularization and integration, and CMake-based build configuration. - Cross-repo refactoring and maintainability improvements with strong version-control discipline.
October 2024
1 Commits • 1 Features
Oct 1, 2024Month: 2024-10 Key features delivered: - Consolidated strangeness analysis tools under PWGLF/Strangeness by moving the lambdak0sflattenicity analysis code from PWGMM/UE to PWGLF/Strangeness; updated build references and documentation accordingly (commit 1f5c6a6f61a6a3e08aefe9ee045d7938ad3a9964). - Updated CMakeLists.txt in both PWGMM/UE and PWGLF/Strangeness to reflect the new location, ensuring correct compilation and dependencies. - Centralized strangeness-related analysis tooling within PWGLF, reducing duplication and simplifying future enhancements. Major bugs fixed: - No high-priority bugs reported this month in O2Physics related to this work; the focus was on refactor and reorganization to improve long-term stability. Overall impact and accomplishments: - Improved modularity and maintainability by consolidating analysis tools under a single PWGLF module, enabling faster feature iterations and easier onboarding for contributors. - Clearer ownership and boundaries for strangeness analysis utilities, with traceable changes via commit 1f5c6a6f61a6a3e08aefe9ee045d7938ad3a9964. Technologies/skills demonstrated: - C++ modularization and integration, and CMake-based build configuration. - Cross-repo refactoring and maintainability improvements with strong version-control discipline.
Activity
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Quality Metrics
Correctness87.0%
Maintainability81.6%
Architecture78.4%
Performance70.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++CMake
Technical Skills
Algorithm ImplementationBug FixingBuild System ConfigurationC++C++ DevelopmentC++ programmingCode RefactoringConfiguration ManagementData AnalysisData FilteringData ProcessingHigh Energy PhysicsHistogrammingMemory ManagementMonte Carlo Simulation
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