Deep-turbulence wavefront sensing using digital-holographic detection in the off-axis image plane recording geometry

Mark F. Spencer; Robert A. Raynor; Matthias T. Banet; Dan K. Marker

doi:10.1117/1.OE.56.3.031213

31 October 2016 Deep-turbulence wavefront sensing using digital-holographic detection in the off-axis image plane recording geometry

Mark F. Spencer, Robert A. Raynor, Matthias T. Banet, Dan K. Marker

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Optical Engineering, Vol. 56, Issue 3, 031213 (October 2016). https://doi.org/10.1117/1.OE.56.3.031213

Abstract

This paper develops wave-optics simulations which explore the estimation accuracy of digital-holographic detection for wavefront sensing in the presence of distributed-volume or “deep” turbulence and detection noise. Specifically, the analysis models spherical-wave propagation through varying deep-turbulence conditions along a horizontal propagation path and formulates the field-estimated Strehl ratio as a function of the diffraction-limited sampling quotient and signal-to-noise ratio. Such results will allow the reader to assess the number of pixels, pixel field of view, pixel-well depth, and read-noise standard deviation needed from a focal-plane array when using digital-holographic detection in the off-axis image plane recording geometry for deep-turbulence wavefront sensing.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Mark F. Spencer, Robert A. Raynor, Matthias T. Banet, and Dan K. Marker "Deep-turbulence wavefront sensing using digital-holographic detection in the off-axis image plane recording geometry," Optical Engineering 56(3), 031213 (31 October 2016). https://doi.org/10.1117/1.OE.56.3.031213

Published: 31 October 2016

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