AliceO2Group/O2Physics
Oct 2024 – Jul 2025
10 Months active
Languages Used
C++
Technical Skills
C++ DevelopmentData AnalysisPhysics SimulationSoftware EngineeringC++Code Refactoring
abilandz
PROFILE
Abilandz
Abilandzic developed and maintained advanced data analysis and validation features for the AliceO2Group/O2Physics repository, focusing on multiparticle correlation frameworks and quality assurance tooling. Over ten months, he engineered configurable event selection, enhanced histogram and QA plotting, and introduced memory management improvements using C++ and ROOT. His work included refactoring code for maintainability, integrating Monte Carlo simulation data, and implementing robust configuration management to support Run 3 heavy-ion analyses. By consolidating event cut logic and expanding support for differential flags, Abilandzic improved both the flexibility and reliability of physics workflows, delivering a maintainable, scalable foundation for high energy physics research.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
26Total
Bugs
0
Commits
26
Features
16
Lines of code
23,349
Activity Months10
Your Network
123 people
Work History
July 2025
1 Commits • 1 Features
Jul 1, 20252025-07 Monthly Summary for AliceO2Group/O2Physics: Focused on maintainability and code quality in the PWGCF module. Delivered a targeted refactor and configuration tuning that cleans up structure, aligns internal function naming, and updates default settings for correlation calculations and interaction rate cuts. Updated histogram titles for readability. These changes improve maintainability and reliability without introducing new functionality, enabling safer future feature work.
1 Commits • 1 Features
Jul 1, 20252025-07 Monthly Summary for AliceO2Group/O2Physics: Focused on maintainability and code quality in the PWGCF module. Delivered a targeted refactor and configuration tuning that cleans up structure, aligns internal function naming, and updates default settings for correlation calculations and interaction rate cuts. Updated histogram titles for readability. These changes improve maintainability and reliability without introducing new functionality, enabling safer future feature work.
July 2025
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly work summary focusing on key accomplishments in the O2Physics development stream, with emphasis on feature delivery and maintainability improvements.
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly work summary focusing on key accomplishments in the O2Physics development stream, with emphasis on feature delivery and maintainability improvements.
May 2025
1 Commits • 1 Features
May 1, 2025Monthly work summary for 2025-05 (AliceO2Group/O2Physics): Delivered feature enabling MC information extraction for HepMCHeavyIons data with a Run 3 testing switch, centrality and impact parameter data now accessible in the pipeline. This included updating headers, data members, enums, and member functions to support processHepMChi. The work is tracked in commit c459d71bad38b380784b677968d73fa0775b0c23. No major bugs fixed this month; focus was on feature enablement and Run 3 readiness. Impact: enhanced MC data extraction improves analysis capabilities for heavy-ion datasets and supports Run 3 validation. Technologies demonstrated: C++, configuration management, code refactoring, feature toggles, and integration with HepMC data model.
1 Commits • 1 Features
May 1, 2025Monthly work summary for 2025-05 (AliceO2Group/O2Physics): Delivered feature enabling MC information extraction for HepMCHeavyIons data with a Run 3 testing switch, centrality and impact parameter data now accessible in the pipeline. This included updating headers, data members, enums, and member functions to support processHepMChi. The work is tracked in commit c459d71bad38b380784b677968d73fa0775b0c23. No major bugs fixed this month; focus was on feature enablement and Run 3 readiness. Impact: enhanced MC data extraction improves analysis capabilities for heavy-ion datasets and supports Run 3 validation. Technologies demonstrated: C++, configuration management, code refactoring, feature toggles, and integration with HepMC data model.
May 2025
April 2025
3 Commits • 2 Features
Apr 1, 2025Monthly summary for 2025-04 focusing on business value and technical achievements in the O2Physics PWGCF module. Key features delivered: - Added geometrical HMO cuts support on fRefMult_vs_NContr with expanded configuration options for event cuts and QA histograms, within the PWGCF framework. Includes a configuration refactor and naming consistency improvements. Major bugs fixed/stability improvements: - Cleaned up code quality issues related to subscriptions and variable naming (removed unnecessary subscription; fixed a few variable names) to improve readability and reduce risk of regressions. - Implemented memory management improvements for High Multiplicity Object (HMO) cuts and introduced a SetBinLabel memory usage workaround to address large histogram memory consumption. Top achievements (business value and impact): - Increased configurability and correctness of HMO cut behavior, enabling more precise data selection and QA analysis, which tightens data quality gates for analyses. - Improved runtime and memory stability for PWGCF workflows involving high-midelity histograms, which supports larger datasets and reduces operational risk. - Clearer configuration architecture and naming conventions, reducing onboarding time for new developers and lowering maintenance costs. Technologies/skills demonstrated: - PWGCF framework enhancements, C++/ROOT-based histogram configuration, memory management, refactoring for maintainability, and rigorous code hygiene. Overall impact: The month delivers tangible business value by enabling more accurate event selection through geometrical HMO cuts, strengthened stability for high-volume data processing, and a more maintainable PWGCF codebase, setting the stage for further enhancements in geometry-based cuts and QA coverage.
April 2025
3 Commits • 2 Features
Apr 1, 2025Monthly summary for 2025-04 focusing on business value and technical achievements in the O2Physics PWGCF module. Key features delivered: - Added geometrical HMO cuts support on fRefMult_vs_NContr with expanded configuration options for event cuts and QA histograms, within the PWGCF framework. Includes a configuration refactor and naming consistency improvements. Major bugs fixed/stability improvements: - Cleaned up code quality issues related to subscriptions and variable naming (removed unnecessary subscription; fixed a few variable names) to improve readability and reduce risk of regressions. - Implemented memory management improvements for High Multiplicity Object (HMO) cuts and introduced a SetBinLabel memory usage workaround to address large histogram memory consumption. Top achievements (business value and impact): - Increased configurability and correctness of HMO cut behavior, enabling more precise data selection and QA analysis, which tightens data quality gates for analyses. - Improved runtime and memory stability for PWGCF workflows involving high-midelity histograms, which supports larger datasets and reduces operational risk. - Clearer configuration architecture and naming conventions, reducing onboarding time for new developers and lowering maintenance costs. Technologies/skills demonstrated: - PWGCF framework enhancements, C++/ROOT-based histogram configuration, memory management, refactoring for maintainability, and rigorous code hygiene. Overall impact: The month delivers tangible business value by enabling more accurate event selection through geometrical HMO cuts, strengthened stability for high-volume data processing, and a more maintainable PWGCF codebase, setting the stage for further enhancements in geometry-based cuts and QA coverage.
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for AliceO2Group/O2Physics: Delivered PWGCF QA and profiling enhancements enabling deeper memory and performance analysis through Valgrind/Massif integration, expanded QA histogram booking, and new histograms correlating event properties with interaction rates. Implemented pileup-aware event cuts to support analyses under varying interaction rates and pileup conditions. This work lays the foundation for proactive memory optimization and data quality improvements across PWGCF workflows.
2 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for AliceO2Group/O2Physics: Delivered PWGCF QA and profiling enhancements enabling deeper memory and performance analysis through Valgrind/Massif integration, expanded QA histogram booking, and new histograms correlating event properties with interaction rates. Implemented pileup-aware event cuts to support analyses under varying interaction rates and pileup conditions. This work lays the foundation for proactive memory optimization and data quality improvements across PWGCF workflows.
March 2025
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025: Delivered key feature improvements in PWGCF within O2Physics, focused on QA plotting and sparse histogram support to enhance data validation and analysis capabilities. Implemented new QA plots, sparse histogram support, and expanded 2D histogram configuration (including correlations with event properties). Refined differential weight handling and introduced new sparse histogram categories to broaden data segmentation. These changes are encapsulated in commit 66b563ae54392cc4a6cf10c2a3c02e9cb3b5b9f8.
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025: Delivered key feature improvements in PWGCF within O2Physics, focused on QA plotting and sparse histogram support to enhance data validation and analysis capabilities. Implemented new QA plots, sparse histogram support, and expanded 2D histogram configuration (including correlations with event properties). Refined differential weight handling and introduced new sparse histogram categories to broaden data segmentation. These changes are encapsulated in commit 66b563ae54392cc4a6cf10c2a3c02e9cb3b5b9f8.
January 2025
3 Commits • 2 Features
Jan 1, 2025January 2025: Delivered two major PWGCF enhancements in O2Physics that expand analysis capabilities and improve data processing, while maintaining code quality.
3 Commits • 2 Features
Jan 1, 2025January 2025: Delivered two major PWGCF enhancements in O2Physics that expand analysis capabilities and improve data processing, while maintaining code quality.
January 2025
December 2024
6 Commits • 3 Features
Dec 1, 2024December 2024 — O2Physics: Delivered core features for multiparticle correlation analyses, strengthened data quality controls, and expanded QA/Histogram tooling. The work improves analysis precision, dataset integrity, and reproducibility while broadening physics reach and business value across Run 3 data and MC validations.
December 2024
6 Commits • 3 Features
Dec 1, 2024December 2024 — O2Physics: Delivered core features for multiparticle correlation analyses, strengthened data quality controls, and expanded QA/Histogram tooling. The work improves analysis precision, dataset integrity, and reproducibility while broadening physics reach and business value across Run 3 data and MC validations.
November 2024
7 Commits • 3 Features
Nov 1, 2024November 2024 monthly summary for AliceO2Group/O2Physics focusing on key features delivered, major fixes, impact, and technologies demonstrated. The team concentrated on strengthening data quality validation, centrality-aware analysis capabilities, and numerical robustness, delivering a set of integrated QA and physics-analysis tooling improvements across the repository.
7 Commits • 3 Features
Nov 1, 2024November 2024 monthly summary for AliceO2Group/O2Physics focusing on key features delivered, major fixes, impact, and technologies demonstrated. The team concentrated on strengthening data quality validation, centrality-aware analysis capabilities, and numerical robustness, delivering a set of integrated QA and physics-analysis tooling improvements across the repository.
November 2024
October 2024
1 Commits • 1 Features
Oct 1, 2024October 2024: Delivered key enhancements to the multiparticle correlation validation framework in O2Physics, introducing a clear separation between pre-booking and post-booking sanity checks, and strengthening configuration and cut validation across data run periods. The work improves data quality verification and reliability for physics analyses relying on particle weights and correlations.
October 2024
1 Commits • 1 Features
Oct 1, 2024October 2024: Delivered key enhancements to the multiparticle correlation validation framework in O2Physics, introducing a clear separation between pre-booking and post-booking sanity checks, and strengthening configuration and cut validation across data run periods. The work improves data quality verification and reliability for physics analyses relying on particle weights and correlations.
Activity
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Quality Metrics
Correctness84.6%
Maintainability82.2%
Architecture82.0%
Performance67.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
Build System ConfigurationC++C++ DevelopmentCode Readability ImprovementCode RefactoringConfiguration ManagementData AnalysisData ConfigurationData FilteringData ProcessingData StructuresDebuggingEvent SelectionHEP AnalysisHigh Energy Physics
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