Paper 14145-184
The Roman Coronagraph Community Participation Program: data reduction pipeline astrometric calibration
7 July 2026 • 17:30 - 19:00 CEST | Room B4-M3
Abstract
The Roman coronagraph community participation program has led the development of a python-based, open source data reduction pipeline (corgidrp) to quantify the performance of the Roman Space Telescope coronagraph instrument and to process its data products. Here, we present the astrometric calibration function within the greater data reduction pipeline, outline the methods for computing critical astrometric calibration measurements, and contextualize this calibration process within corgidrp. Additionally, we discuss the results of end-to-end testing and show that all formal requirements for this calibration step are satisfied.
Presenter
Amanda Chavez
Northwestern Univ. (United States)
Amanda Chavez is a 4th year Astronomy PhD candidate at Northwestern University where she works with Dr. Jason Wang and collaborates with the other members of his research group in exoplanet direct imaging. Amanda is interested in high-contrast astronomical instrumentation and enjoys contributing to the Nancy Grace Roman Space Telescope's Coronagraph Data Reduction Pipeline (corgidrp), where she has worked to develop the corgidrp astrometric calibration function.