roman-corgi/corgidrp
Oct 2025 – Oct 2025
1 Month active
Languages Used
NumpyPython
Technical Skills
Code RefactoringData AlignmentData AnalysisData ProcessingDebuggingDocumentation
Sophie Noiret
PROFILE
Sophie Noiret
Sophie Noiret enhanced the roman-corgi/corgidrp repository by developing polarimetry frame alignment and star localization capabilities for POL0 and POL45 datasets. She implemented the align_polarimetry_frames function, enabling accurate alignment of polarimetric data based on star positions, and refined the find_star method to better support polarimetric workflows. Her work included expanding mock data utilities and increasing test coverage, ensuring reliability for future polarimetry experiments. Using Python and Numpy, Sophie addressed code quality through linting and improved documentation, incorporating feedback to maintain high standards. The depth of her contributions strengthened the robustness and maintainability of the polarimetry data processing pipeline.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
13Total
Bugs
0
Commits
13
Features
1
Lines of code
807
Activity Months1
Your Network
35 people
Work History
October 2025
13 Commits • 1 Features
Oct 1, 2025October 2025 (roman-corgi/corgidrp): Delivered polarimetry frame alignment and star localization improvements for POL0/POL45 data. Implemented align_polarimetry_frames, refined find_star for polarimetric datasets, and expanded mock data utilities and test coverage to support polarimetry experiments. Fixed lint issues and updated docstrings to improve maintainability. All changes have tests and PR-ready documentation, contributing to a more robust polarimetry data processing pipeline.
13 Commits • 1 Features
Oct 1, 2025October 2025 (roman-corgi/corgidrp): Delivered polarimetry frame alignment and star localization improvements for POL0/POL45 data. Implemented align_polarimetry_frames, refined find_star for polarimetric datasets, and expanded mock data utilities and test coverage to support polarimetry experiments. Fixed lint issues and updated docstrings to improve maintainability. All changes have tests and PR-ready documentation, contributing to a more robust polarimetry data processing pipeline.
October 2025
Activity
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Quality Metrics
Correctness87.6%
Maintainability84.6%
Architecture80.0%
Performance76.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
NumpyPython
Technical Skills
Code RefactoringData AlignmentData AnalysisData ProcessingDebuggingDocumentationImage AlignmentImage AnalysisImage ProcessingLintingMock Data GenerationMockingNumpyPythonScientific Computing
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