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samrangy

PROFILE

Samrangy

Samrangy Sadhu contributed to the AliceO2Group/O2Physics repository by developing and enhancing D0-hadron correlation analysis tools for high energy and particle physics research. Leveraging C++ and data analysis techniques, Samrangy integrated machine learning models to improve candidate selection and analysis precision, introducing new data structures for efficient ML score storage and inference. He implemented event-level data correlation by associating tracks and Monte Carlo particles with collision IDs, enabling more accurate heavy flavor studies. His work included refining selection logic, adding promptness and origin categorization, and correcting efficiency calculations, demonstrating a deep understanding of detector simulation and event reconstruction challenges.

Overall Statistics

Feature vs Bugs

80%Features

Repository Contributions

5Total
Bugs
1
Commits
5
Features
4
Lines of code
1,594
Activity Months4

Work History

September 2025

1 Commits • 1 Features

Sep 1, 2025

September 2025 (2025-09): Focused on improving event-level data correlation for heavy flavor analyses in O2Physics. Delivered Preslice integration by adding Preslice objects to associate tracks and McParticles with collision IDs in PWGHF/HFC/TableProducer, enabling robust event-level data correlation and more accurate analyses. The work was implemented within the AliceO2Group/O2Physics repository with a dedicated commit.

July 2025

2 Commits • 1 Features

Jul 1, 2025

July 2025 performance summary for AliceO2Group/O2Physics focusing on D0 hadron analyses. Delivered a feature enhancement to D0 Hadron Correlation Analysis enabling separate categorization of prompt vs non-prompt D0 and hadron origins, and fixed a critical D0 selection logic to ensure only generated D0 with the correct PDG code is considered. These changes improve analysis granularity, accuracy of efficiency calculations, and overall reliability of D0-hadron studies.

February 2025

1 Commits • 1 Features

Feb 1, 2025

February 2025 — AliceO2Group/O2Physics: Delivered ML-assisted D0-hadron correlation analysis with efficiency corrections. Implemented MCGen/MCRec-aware data structures and analysis paths including promptness and track origin to enable more detailed correlation studies, improving physics insight and result accuracy. The work is tracked in commit [PWGHF] Add ML and D0 efficiency in D0-h correlation (#9775).

December 2024

1 Commits • 1 Features

Dec 1, 2024

Month: 2024-12 — AliceO2Group/O2Physics focused on delivering ML-assisted discrimination for D0-hadron correlation analysis and integrating ML scores into the analysis pipeline. The work aligns with business and science goals by improving candidate selection and analysis precision for charged particle correlations.

Activity

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Quality Metrics

Correctness84.0%
Maintainability84.0%
Architecture84.0%
Performance72.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

C++

Technical Skills

C++ DevelopmentData AnalysisDetector SimulationEvent ReconstructionHigh Energy PhysicsMachine Learning IntegrationParticle PhysicsSoftware Development

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

AliceO2Group/O2Physics

Dec 2024 Sep 2025
4 Months active

Languages Used

C++

Technical Skills

C++ DevelopmentData AnalysisHigh Energy PhysicsMachine Learning IntegrationParticle PhysicsDetector Simulation

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