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amaringarcia

PROFILE

Amaringarcia

Over eleven months, Ana Marin developed and enhanced data processing and particle identification workflows in the AliceO2Group/O2Physics repository. She engineered features such as configurable interaction rate sources, neural network input enhancements, and TPC dE/dx correction mechanisms, focusing on improving data quality and analysis flexibility. Using C++ and leveraging skills in data analysis and configuration management, Ana integrated new data structures, refined PID algorithms, and stabilized neural network pipelines. Her work addressed both feature delivery and targeted bug fixes, resulting in more robust, maintainable code and enabling higher-fidelity physics analyses. The depth of her contributions advanced core analysis capabilities.

Overall Statistics

Feature vs Bugs

86%Features

Repository Contributions

14Total
Bugs
2
Commits
14
Features
12
Lines of code
1,997
Activity Months11

Work History

October 2025

1 Commits • 1 Features

Oct 1, 2025

October 2025: Delivered TPC PID Neural Network testing enhancements (v3) for AliceO2Group/O2Physics. Introduced a new interaction-rate-source configuration and updated track property calculations to leverage this feature, improving particle identification accuracy and model flexibility in higher-rate environments. This work strengthens NN-based PID workflows and sets the stage for more robust production analyses.

September 2025

1 Commits

Sep 1, 2025

Month: 2025-09. Key accomplishments centered on stabilizing the O2Physics NN v3 collision data processing path (input_dimensions=8). Major bug fixed: inconsistent handling of ft0cOccupancyInTimeRange, improving correctness and reliability of collision data processing. The change was implemented by duplicating a critical line of code to ensure consistent behavior across processing paths. The fix is linked to commit e4a38e5f5ebafa90754e2aa706eee68b6835a4b4 under the ticket [Common] Bug fix for NN version 3 development (#13128). Overall impact: higher stability and accuracy in NN v3 data processing, reducing downstream errors and enabling more reliable physics analyses. Technologies/skills demonstrated: debugging NN pipeline edge cases, Git version control and traceability, C++/Python code changes, and rigorous regression thinking.

August 2025

1 Commits • 1 Features

Aug 1, 2025

2025-08 monthly summary for AliceO2Group/O2Physics: Implemented Neural Network Input Enhancement by adding Hadronic Rate and a configurable rate source as inputs to the NN training. This change mitigates run-by-run variations and includes fetching Hadronic Rate to be used as an extra input dimension. The work is documented in commit 905f02a4317173c4d8eb2d5314e3a254045d602c with Co-authors Ana Marin. No major bugs fixed in this period based on available data. Impact: improved robustness and consistency of NN training, better physics modeling, and enhanced configurability for rate-driven scenarios. Skills demonstrated: feature engineering for NN, data integration, configuration management, collaboration across teams.

July 2025

1 Commits

Jul 1, 2025

Concise monthly summary for 2025-07 focusing on the AliceO2Group/O2Physics work, highlighting delivered fixes, impact, and technical skills demonstrated for performance reviews.

June 2025

1 Commits • 1 Features

Jun 1, 2025

June 2025: Delivered the TPC dE/dx correction feature for particle identification in O2Physics, introducing a dedicated dEdxCorrection processing path and updating PID tasks to improve identification accuracy for TPC data. Implemented and tested with occupancy scenarios (commit f1d4570e879e235fef43c1c3edd4304f9e12bbe6). This work strengthens data quality for physics analyses and establishes a reusable correction workflow within O2Physics.

May 2025

1 Commits • 1 Features

May 1, 2025

May 2025 monthly summary for AliceO2Group/O2Physics. Focused on enhancing data quality and analytics capability by extending dEdx storage in skimmed V0 and TPC-TOF data with normalized dEdx values. Implemented new data structures and processing logic to store this information from TrackQA, expanding the existing skimmed tables and enabling more precise particle identification and downstream physics analyses. This work supports the DPG objective to capture richer dEdx information and improves reproducibility and analysis speed across workflows.

April 2025

1 Commits • 1 Features

Apr 1, 2025

Month: 2025-04 focused on delivering a configurable interaction rate source system for event selection and V0 candidate identification, refactoring V0 selection to use standard utilities, and enriching track data for PID analysis. These changes increase flexibility, accuracy, and maintainability of physics analyses in O2Physics, enabling easier experimentation with trigger sources and V0 selection strategies. No separate major bug fixes were recorded this month; the work constitutes a significant feature delivery and code quality improvement.

March 2025

2 Commits • 2 Features

Mar 1, 2025

Concise monthly summary for 2025-03 focusing on key business value and technical achievements. Key features delivered include enhancements to QA data export and PID integration, with clear traceability to commits. No major bug fixes were reported for this period in the repository. Overall impact: richer data for physics analysis, improved particle identification workflows, and groundwork for faster validation cycles. Technologies demonstrated include C++ data processing pipelines, TreeWriter components for TPC data, and PID integration strategies.

December 2024

1 Commits • 1 Features

Dec 1, 2024

December 2024 Monthly Summary for AliceO2Group/O2Physics focusing on delivering a feature and stabilizing particle identification for TPC analyses.

November 2024

3 Commits • 3 Features

Nov 1, 2024

Month 2024-11 - AliceO2Group/O2Physics: Implemented configurable downsampling by Pt, extended skim tables with occupancy data, and integrated hadronic rate with configurable PID cuts. These changes improve data reduction precision, occupancy analysis, and sample quality, delivering measurable gains in processing efficiency and analysis reliability.

October 2024

1 Commits • 1 Features

Oct 1, 2024

2024-10 monthly summary for AliceO2Group/O2Physics: Implemented an enhancement to the PWG-DQ electron histogram by enlarging the pT range and increasing the number of bins, enabling finer momentum analysis. This change improves data granularity for downstream physics analyses and aligns with PWG-DQ requirements. Commit referenced: 211deee6a4ba91a10c07e56389d1b436ef8f4b89 (PR #8185).

Activity

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Quality Metrics

Correctness82.2%
Maintainability81.4%
Architecture78.6%
Performance65.8%
AI Usage20.0%

Skills & Technologies

Programming Languages

C++

Technical Skills

Bug FixingC++C++ DevelopmentCCDBConfiguration ManagementData AnalysisData ProcessingHigh Energy PhysicsMachine LearningParticle PhysicsPhysics AnalysisPhysics SimulationSoftware DevelopmentSoftware Engineering

Repositories Contributed To

1 repo

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

AliceO2Group/O2Physics

Oct 2024 Oct 2025
11 Months active

Languages Used

C++

Technical Skills

Data AnalysisPhysics SimulationC++ DevelopmentConfiguration ManagementData ProcessingParticle Physics

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