
Contributed to the roman-corgi/corgidrp repository by developing and refining features for astrometric calibration, imaging mode differentiation, and data integrity across L3/L4 products. Leveraged Python and testing frameworks to implement VISTYPE-based processing, enhance calibration workflows, and improve header and metadata management for scientific imaging data. Addressed issues in end-to-end test reliability and image processing by introducing exposure-time guards and stabilizing test infrastructure through mocks simplification. Updated documentation using reStructuredText to clarify data formats and provenance. The work emphasized robust backend development, error handling, and technical writing, resulting in improved traceability, usability, and maintainability for astrophysics data pipelines.
March 2026 monthly summary for roman-corgi/corgidrp focused on delivering VISTYPE-based processing, stabilizing test infrastructure, and enhancing the on-sky dispersion calibration workflow. The work improved cross-mode consistency (coronagraphic imaging vs spectroscopy), strengthened end-to-end validation, and reduced maintenance overhead through mocks simplification.
March 2026 monthly summary for roman-corgi/corgidrp focused on delivering VISTYPE-based processing, stabilizing test infrastructure, and enhancing the on-sky dispersion calibration workflow. The work improved cross-mode consistency (coronagraphic imaging vs spectroscopy), strengthened end-to-end validation, and reduced maintenance overhead through mocks simplification.
February 2026 (2026-02) — Delivered foundational data quality, provenance, and documentation improvements for the corgidrp repository, focusing on header hygiene, astrometric calibration, data lineage, and user clarity. This work reduces downstream processing errors, improves traceability, and accelerates analysis readiness across L3/L4 imaging products.
February 2026 (2026-02) — Delivered foundational data quality, provenance, and documentation improvements for the corgidrp repository, focusing on header hygiene, astrometric calibration, data lineage, and user clarity. This work reduces downstream processing errors, improves traceability, and accelerates analysis readiness across L3/L4 imaging products.
January 2026: Delivered fixes to Satspot saturation prevention and end-to-end test cropping in roman-corgi/corgidrp. Fixed improper e2e cropping and implemented an exposure-time guard for satspot files to prevent saturation when exposure times exceed 100 seconds, improving output reliability and test stability.
January 2026: Delivered fixes to Satspot saturation prevention and end-to-end test cropping in roman-corgi/corgidrp. Fixed improper e2e cropping and implemented an exposure-time guard for satspot files to prevent saturation when exposure times exceed 100 seconds, improving output reliability and test stability.

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