AliceO2Group/O2Physics
Dec 2024 – Oct 2025
6 Months active
Languages Used
C++
Technical Skills
C++Data AnalysisHigh Energy PhysicsParticle PhysicsC++ DevelopmentData Processing
FDUEnrich
PROFILE
Fduenrich
Over six months, this developer enhanced the AliceO2Group/O2Physics repository by building advanced frameworks for charm baryon and heavy-baryon decay analysis. They implemented C++ modules for KFParticle-based reconstruction, machine learning-driven candidate selection, and configurable event filtering, focusing on robust data structures and modular selection logic. Their work included refactoring selection criteria, tuning physics-aware parameters, and integrating monitoring histograms to improve particle identification and background suppression. By addressing both feature development and targeted bug fixes, they improved analysis reliability, data quality, and maintainability. The developer demonstrated depth in C++ development, data analysis, and high energy physics software engineering throughout the project.
Overall Statistics
Feature vs Bugs
63%Features
Repository Contributions
8Total
Bugs
3
Commits
8
Features
5
Lines of code
1,891
Activity Months6
Your Network
126 peopleSame Organization
@m.fudan.edu.cn3
Work History
October 2025
1 Commits
Oct 1, 2025October 2025 monthly summary for development efforts focused on enhancing particle selection robustness in the Omega candidate workflow within the O2Physics repository. The primary work this month targeted stabilization of the particle selection configuration and improvements to selection cuts to boost accuracy and robustness for Omega analyses.
1 Commits
Oct 1, 2025October 2025 monthly summary for development efforts focused on enhancing particle selection robustness in the Omega candidate workflow within the O2Physics repository. The primary work this month targeted stabilization of the particle selection configuration and improvements to selection cuts to boost accuracy and robustness for Omega analyses.
October 2025
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 performance summary for AliceO2Group/O2Physics. Focus: feature development enabling advanced heavy-baryon reconstruction. Key features delivered include a KFParticle-based Omega_c0 and Xi_c0 Decay Reconstruction Framework, with dedicated namespaces, data structures, and selection logic to enable analysis of these decays by defining reconstruction parameters and criteria. No major bug fixes were documented this month; effort centered on feature delivery and framework stabilization. Overall impact: enhanced physics reach by enabling robust reconstruction of Omega_c0/Xi_c0 decays, improved modularity for adding future decay channels, and groundwork for streamlined analysis workflows. Technologies/skills demonstrated: KFParticle-based reconstruction, C++ namespaces, data structure design, selection logic, parameterization, and repository integration.
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 performance summary for AliceO2Group/O2Physics. Focus: feature development enabling advanced heavy-baryon reconstruction. Key features delivered include a KFParticle-based Omega_c0 and Xi_c0 Decay Reconstruction Framework, with dedicated namespaces, data structures, and selection logic to enable analysis of these decays by defining reconstruction parameters and criteria. No major bug fixes were documented this month; effort centered on feature delivery and framework stabilization. Overall impact: enhanced physics reach by enabling robust reconstruction of Omega_c0/Xi_c0 decays, improved modularity for adding future decay channels, and groundwork for streamlined analysis workflows. Technologies/skills demonstrated: KFParticle-based reconstruction, C++ namespaces, data structure design, selection logic, parameterization, and repository integration.
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 (2025-05) — O2Physics: Delivered ML-enhanced Omega_c0 to Omega_pi analysis and stabilized candidate selection path. Key outcomes include integration of ML-based analysis with a dedicated local analysis table and expanded data structures to store/process ML-derived features, and a robust fix of the candidate selection path.
2 Commits • 1 Features
May 1, 2025May 2025 (2025-05) — O2Physics: Delivered ML-enhanced Omega_c0 to Omega_pi analysis and stabilized candidate selection path. Key outcomes include integration of ML-based analysis with a dedicated local analysis table and expanded data structures to store/process ML-derived features, and a robust fix of the candidate selection path.
May 2025
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for AliceO2Group/O2Physics. Focused on targeted MC-data handling improvements, logging reliability, and data quality in PWGHF. Implemented configurable MC-signal filtering for tree creation and added histograms to track MC-signal PT and Omegac Pt, enabling selective saving of MC-signal events and reducing storage of non-signal data. Fixed a histogram naming issue to restore proper logging and data collection for XiMinus invariant mass candidates. These changes improve analysis reproducibility, data quality, and pipeline efficiency.
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for AliceO2Group/O2Physics. Focused on targeted MC-data handling improvements, logging reliability, and data quality in PWGHF. Implemented configurable MC-signal filtering for tree creation and added histograms to track MC-signal PT and Omegac Pt, enabling selective saving of MC-signal events and reducing storage of non-signal data. Fixed a histogram naming issue to restore proper logging and data collection for XiMinus invariant mass candidates. These changes improve analysis reproducibility, data quality, and pipeline efficiency.
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 — This month focused on delivering a pivotal analysis enhancement in AliceO2Group/O2Physics. Key feature: Omegac0 to Omega Pi analysis improvements via a competing rejection mechanism and KFParticle preselections. These changes introduce new variables and refined selection criteria to improve particle identification accuracy and reduce background noise in Omegac0 decays, enabling cleaner signal extraction and more robust physics results. The work is fully traceable to commit 75bfed1729bef89c930542c3648ac5c3ddd96a6a (PWGHF) Add competing rejection and KF preselection for Omegac0 -> Omega Pi analysis (#9390).
1 Commits • 1 Features
Jan 1, 2025January 2025 — This month focused on delivering a pivotal analysis enhancement in AliceO2Group/O2Physics. Key feature: Omegac0 to Omega Pi analysis improvements via a competing rejection mechanism and KFParticle preselections. These changes introduce new variables and refined selection criteria to improve particle identification accuracy and reduce background noise in Omegac0 decays, enabling cleaner signal extraction and more robust physics results. The work is fully traceable to commit 75bfed1729bef89c930542c3648ac5c3ddd96a6a (PWGHF) Add competing rejection and KF preselection for Omegac0 -> Omega Pi analysis (#9390).
January 2025
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for AliceO2Group/O2Physics: Feature delivery and code improvement focused on charm baryon analysis in PWGHF. Key achievements include implementing transverse momentum (pT) cut selection for charm baryon decays, refactoring PWGHF selection logic, and adding monitoring histograms to validate particle identification and candidate filtering by pT. This work reduces background and improves the reliability of reported signals, supporting higher-quality physics results and more efficient offline analysis.
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for AliceO2Group/O2Physics: Feature delivery and code improvement focused on charm baryon analysis in PWGHF. Key achievements include implementing transverse momentum (pT) cut selection for charm baryon decays, refactoring PWGHF selection logic, and adding monitoring histograms to validate particle identification and candidate filtering by pT. This work reduces background and improves the reliability of reported signals, supporting higher-quality physics results and more efficient offline analysis.
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Quality Metrics
Correctness85.0%
Maintainability82.6%
Architecture83.8%
Performance71.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
Algorithm ImplementationBug FixC++C++ DevelopmentCode RefactoringData AnalysisData ProcessingData StructuresEvent SelectionHigh Energy PhysicsKFParticle ReconstructionMachine LearningParticle PhysicsParticle Physics AnalysisPhysics Analysis
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