AliceO2Group/O2Physics
Aug 2025 – Jan 2026
2 Months active
Languages Used
C++
Technical Skills
Data FilteringEvent SelectionPhysics AnalysisC++ programmingdata analysishistogramming
Neelima Agrawal
PROFILE
Neelima Agrawal
Over a two-month period, contributed to the AliceO2Group/O2Physics repository by developing two targeted features focused on data quality and analysis flexibility. Built a configurable event-cut system in C++ to filter out time ranges with dead ITS staves, integrating this logic across multiple event selection tasks to ensure only valid data was analyzed. Later, enhanced the Femto3D analysis by implementing user-parameterized, constant-bin histogramming for DCA distributions, improving reproducibility and comparative studies. All work was performed in a performance-sensitive C++/ROOT environment, emphasizing clear code integration, backward compatibility, and collaborative development practices without introducing new bugs during the feature delivery phase.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
44
Activity Months2
Your Network
478 peopleSame Organization
@cern.ch336
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142
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Work History
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for AliceO2Group/O2Physics. Key feature delivered: DCA Histogram Binning Enhancement in Femto3D, enabling constant-bin histograms based on user-defined parameters, improving analysis flexibility and reproducibility. No major bugs fixed this month; the primary focus was feature delivery and integration. The change enhances data-driven physics studies by enabling consistent binning across datasets and simplifying comparative analyses. All work was conducted in a performance-sensitive C++/ROOT codebase with clear, concise Git commit messaging.
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for AliceO2Group/O2Physics. Key feature delivered: DCA Histogram Binning Enhancement in Femto3D, enabling constant-bin histograms based on user-defined parameters, improving analysis flexibility and reproducibility. No major bugs fixed this month; the primary focus was feature delivery and integration. The change enhances data-driven physics studies by enabling consistent binning across datasets and simplifying comparative analyses. All work was conducted in a performance-sensitive C++/ROOT codebase with clear, concise Git commit messaging.
January 2026
August 2025
1 Commits • 1 Features
Aug 1, 2025Concise monthly summary for 2025-08 focusing on key accomplishments in AliceO2Group/O2Physics. Delivered a new configurable event-cut to filter out time ranges with dead ITS staves, integrated into event selection logic across multiple tasks to improve data quality by excluding faulty data.
August 2025
1 Commits • 1 Features
Aug 1, 2025Concise monthly summary for 2025-08 focusing on key accomplishments in AliceO2Group/O2Physics. Delivered a new configurable event-cut to filter out time ranges with dead ITS staves, integrated into event selection logic across multiple tasks to improve data quality by excluding faulty data.
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture80.0%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
C++ programmingData FilteringEvent SelectionPhysics Analysisdata analysishistogramming
Repositories Contributed To
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