
Sophie Noiret contributed to the roman-corgi/corgidrp repository by expanding its data-processing capabilities, focusing on support for Band 4 observations within the PyKLIPDataset module. She implemented new wavelength configurations and adjusted backend logic to handle these additional cases, enhancing the pipeline’s flexibility for scientific computing tasks. Using Python, she also addressed a bug in LSAMNAME-based conditional logic, ensuring correct execution paths for owa_mas and owa_pix values and reducing the risk of processing errors. Her work demonstrated careful attention to code quality and reliability, with clear commit documentation and thoughtful integration of data processing and backend development skills.
January 2026 monthly work summary for roman-corgi/corgidrp focusing on delivering expanded data-processing capabilities and improving pipeline reliability. Key features were implemented to support Band 4 observations, alongside targeted fixes to LSAMNAME-based logic to ensure correct execution paths for owa_mas and owa_pix. These changes enhance data coverage, reduce processing risks, and demonstrate strong code quality and collaboration through clear commit messages.
January 2026 monthly work summary for roman-corgi/corgidrp focusing on delivering expanded data-processing capabilities and improving pipeline reliability. Key features were implemented to support Band 4 observations, alongside targeted fixes to LSAMNAME-based logic to ensure correct execution paths for owa_mas and owa_pix. These changes enhance data coverage, reduce processing risks, and demonstrate strong code quality and collaboration through clear commit messages.

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