Feasible optimal deformable mirror shaping algorithm for high contrast imaging

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

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations

Abstract

The Princeton University Terrestrial Planet Finder (TPF) group 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. Assuming one uses a deformable mirror to correct these aberrations, we propose an algorithm that optimally decreases the scattering level in specified localized areas in the image plane independent of the choice of influence function of the deformable mirror.

Original languageEnglish (US)
Pages (from-to)288-297
Number of pages10
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5169
DOIs
StatePublished - 2003
EventAstronomical Adaptive Optics Systems and Applications - San Diego, CA, United States
Duration: Aug 3 2003Aug 4 2003

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Keywords

  • Adaptive optics
  • Deformable mirror
  • High contrast imaging

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