Stochastic optimal phase retrieval algorithm for high-contrast imaging

Amir Give'on; N. Jeremy Kasdin; Robert J Vanderbei; David N Spergel; Michael G. Littman; Pini Gurfil

doi:10.1117/12.505211

24 December 2003 Stochastic optimal phase retrieval algorithm for high-contrast imaging

Amir Give'on, N. Jeremy Kasdin, Robert J Vanderbei, David N Spergel, Michael G. Littman, Pini Gurfil

Proceedings Volume 5169, Astronomical Adaptive Optics Systems and Applications; (2003) https://doi.org/10.1117/12.505211
Event: Optical Science and Technology, SPIE's 48th Annual Meeting, 2003, San Diego, California, United States

Abstract

The Princeton University Terrestrial Planet Finder (TPF) has been working on a novel method for direct imaging of extra solar planets using a shaped-pupil coronagraph. The entrance pupil of the coronagraph is optimized to have a point spread function (PSF) that provides the suppression level needed at the angular separation required for detection of extra solar planets. When integration time is to be minimized, the photon count at the planet location in the image plane is a Poisson distributed random process. The ultimate limitation of these high-dynamic-range imaging systems comes from scattering due to imperfections in the optical surfaces of the collecting system. The first step in correcting the wavefront errors is the estimation of the phase aberrations. The phase aberration caused by these imperfections is assumed to be a sum of two-dimensional sinusoidal functions. Its parameters are estimated using a global search with a genetic algorithm and a local optimization with the BFGS quasi-Newton method with a mixed quadratic and cubic line search procedure.

Citation Download Citation

Amir Give'on, N. Jeremy Kasdin, Robert J Vanderbei, David N Spergel, Michael G. Littman, and Pini Gurfil "Stochastic optimal phase retrieval algorithm for high-contrast imaging", Proc. SPIE 5169, Astronomical Adaptive Optics Systems and Applications, (24 December 2003); https://doi.org/10.1117/12.505211

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