Modeling Polarization for Phase Retrieval


Modeling Polarization for Phase Retrieval

Hosted By: Polarization Technical Group

7 November 2018, 10:30 - 11:30

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The Wide Field Infrared Survey Telescope (WFIRST) is a NASA infrared space observatory that was recommended in 2010 by United States National Research Council Decadal Survey committee as the top priority for the next decade of astronomy. A large fraction of its primary mission will be focused on probing the expansion history of the Universe and the growth of cosmic structure with multiple methods in overlapping redshift ranges, with the goal of precisely measuring the effects of dark energy, the consistency of general relativity, and the curvature of spacetime.

Imaged-based wavefront sensing utilizes images of point sources and a physical model in a retrieval algorithm in order to determine optical phase. For space telescopes such as the WFIRST, these sources are stars, and the resulting image is the system’s point-spread function. The high degree of accuracy required for wavefront-sensing in WFIRST coupled with the fast f/1.2 primary mirror means that considering the effects of polarization may be a necessary step.

In this webinar hosted by the OSA Polarization Technical Group, Scott Paine from the University of Rochester will discuss the efforts to incorporate polarization effects into simulated models and what can be done to recover polarization aberrations in such a system.

What You Will Learn:

  • A broad overview of phase retrieval done with nonlinear optimization
  • How to represent both scalar aberrations and polarization aberrations using Pauli-Zernike coefficients
  • How to build and parameterize a wave optics model that incorporates polarization effects

Who Should Attend:

  • People who are interested in incorporating polarization aberration effects in wave optics simulations
  • People interested in parameterizing polarization aberrations



Scott Paine, Univeristy of Rochester

Scott Paine is a graduate student at the University of Rochester. He specializes in phase retrieval methods for space-based telescopes and has done work for the James Webb Space Telescope (JWST) and Wide-Field Infrared Survey Telescope (WFIRST). His research focuses on improving the effectiveness of image-based wavefront sensing.