Improved Prescription Retrieval and PSF Modeling Code

David Redding, Meemong Lee, and Sam Sirlin

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.

Pages 188-197

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