Paper
11 September 1998 Comparison of phase diversity and curvature wavefront sensing
Author Affiliations +
Abstract
We compare phase diversity and curvature wavefront sensing. Besides having completely different reconstruction algorithms, the two methods measure data in different domains: phase diversity very near to the focal plane, and curvature wavefront sensing far from the focal plane in quasi-pupil planes, which enable real-time computation of the wavefront using analog techniques. By using information- theoretic lower bounds, we show that the price of measuring far from the focal lane is an increased error in estimating the phase. Curvature wavefront sensing is currently operating in the field, but phase diversity should produce superior estimates as real-time computing develops.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
James R. Fienup, Brian J. Thelen, Richard G. Paxman, and David A. Carrara "Comparison of phase diversity and curvature wavefront sensing", Proc. SPIE 3353, Adaptive Optical System Technologies, (11 September 1998); https://doi.org/10.1117/12.321701
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CITATIONS
Cited by 22 scholarly publications.
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KEYWORDS
Wavefront sensors

Wavefronts

Statistical analysis

Error analysis

Optical transfer functions

Analog electronics

Reconstruction algorithms

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