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andrearf28

PROFILE

Andrearf28

During April 2025, Alexandre Rochefeuille developed an onsite analysis tool for NP02 detectors in the DUNE/waffles repository, focusing on rapid performance assessment. He designed and implemented a grid-based visualization system using Python and Plotly, enabling side-by-side inspection of waveforms, sigma histograms, and FFT results. The tool featured structured parameter handling, robust data ingestion, and an end-to-end analytics pipeline, streamlining the process from input to output generation. By integrating scientific computing techniques and leveraging Pydantic for data validation, Alexandre’s work accelerated onsite decision-making and improved traceability, delivering a focused feature that enhanced the data processing workflow for detector operations.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
1,020
Activity Months1

Work History

April 2025

1 Commits • 1 Features

Apr 1, 2025

April 2025 monthly performance summary for DUNE/waffles focusing on NP02 onsite analysis capabilities. Overview: Released a targeted onsite analysis tool for NP02 detectors, enabling grid-based visualization of waveforms, sigma histograms, and FFTs. The work encompassed parameter handling, data ingestion, analysis execution, and output generation to streamline onsite performance assessment. Key achievements: - NP02 Onsite Analysis Tool: Waveforms, Sigma Histograms, and FFT Visualization delivered for NP02 onsite operations (repository: DUNE/waffles). - Grid-based visualization layout implemented to enable quick, side-by-side inspection of waveform plots, histograms, and FFT results. - End-to-end capability developed: input parameter handling, data ingestion, analysis execution, and output generation to support rapid onsite decision making. - Traceability through commit: f10542f44c2124b74c68a253998e712001705231 (Adding a quick NP02 analysis (waveforms plots, sigma histograms and FFT in a grid) for onsite operation, and some tools for this purpose). Impact and accomplishments: - Accelerated onsite performance assessment for NP02 detectors, reducing analysis time and enabling faster operational decisions. - Strengthened data processing workflow with structured parameterization and output artifacts suitable for onsite reporting. Technologies and skills demonstrated: - Signal processing concepts: FFT visualization, sigma histograms, waveform analysis. - Data ingestion, parameter handling, and end-to-end analytics pipeline. - Grid-based visualization design for efficient onsite evaluation. - Version control traceability and focused feature delivery to support business value.

Activity

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Quality Metrics

Correctness90.0%
Maintainability80.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

Python

Technical Skills

Data AnalysisData VisualizationPlotlyPydanticPythonScientific Computing

Repositories Contributed To

1 repo

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

DUNE/waffles

Apr 2025 Apr 2025
1 Month active

Languages Used

Python

Technical Skills

Data AnalysisData VisualizationPlotlyPydanticPythonScientific Computing

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