lsst/obs_lsst
Feb 2025 – Feb 2025
1 Month active
Languages Used
Python
Technical Skills
Backend DevelopmentCoordinate SystemsData ProcessingData TransformationNumerical ComputationSoftware Development
aaronroodman
PROFILE
Aaronroodman
Worked on the lsst/obs_lsst repository to deliver a feature enhancing coordinate handling in the LsstCameraTransforms module. Refactored the transformation logic to use amplifier-based coordinates and floating-point pixel calculations, improving numerical precision and consistency for astrometric calibration and image processing. Updated mappings and method signatures between focal plane and amplifier coordinates, aligning the codebase with the new coordinate model. Refreshed documentation to reflect these changes, supporting maintainability for future development. Utilized Python for backend development, focusing on data transformation and numerical computation. The work addressed core transformation logic, ensuring more accurate and reliable coordinate processing within the pipeline.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
197
Activity Months1
Your Network
68 peopleWork History
February 2025
3 Commits • 1 Features
Feb 1, 2025February 2025: Delivered a key feature to enhance coordinate handling in the obs_lsst pipeline by migrating LsstCameraTransforms to amplifier-based coordinates and floating-point pixel calculations. Implemented refactors, updated mappings and method signatures between focal plane and amplifier coordinates, and refreshed documentation to reflect the new model. These changes improve precision, consistency, and maintainability for downstream astrometric calibration and image processing.
3 Commits • 1 Features
Feb 1, 2025February 2025: Delivered a key feature to enhance coordinate handling in the obs_lsst pipeline by migrating LsstCameraTransforms to amplifier-based coordinates and floating-point pixel calculations. Implemented refactors, updated mappings and method signatures between focal plane and amplifier coordinates, and refreshed documentation to reflect the new model. These changes improve precision, consistency, and maintainability for downstream astrometric calibration and image processing.
February 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability86.6%
Architecture86.6%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Backend DevelopmentCoordinate SystemsData ProcessingData TransformationNumerical ComputationSoftware DevelopmentSoftware Refactoring
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