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Improved Prescription Retrieval and PSF Modeling Code
David Redding, Meemong Lee, and Sam Sirlin
Jet Propulsion Laboratory, California Institute of Technology,
4800 Oak Grove Drive, Pasadena, CA 91109-8099
Abstract:
The success of HST image restoration depends critically on the ability to
obtain, either through direct observation or through detailed optical
modeling, a good estimate of the point spread function. PSF models are, in
principle, superior to observed PSFs owing to the lack of noise and the
ability to compute the PSF on a higher density pixel grid. We describe an
approach to PSF modeling for the HST which utilizes two complementary programs:
(1) a sophisticated prescription retrieval code, and (2) a hybrid PSF modeling
code that combines both ray-tracing and diffraction propagators.
The PSF modeling code will be made available to the HST user community
through the ST ScI.