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Proceedings Paper

Fast algorithm for wavefront reconstruction in XAO/SCAO with pyramid wavefront sensor
Author(s): Iuliia Shatokhina; Andreas Obereder; Ronny Ramlau
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Paper Abstract

We present a fast wavefront reconstruction algorithm developed for an extreme adaptive optics system equipped with a pyramid wavefront sensor on a 42m telescope. The method is called the Preprocessed Cumulative Reconstructor with domain decomposition (P-CuReD). The algorithm is based on the theoretical relationship between pyramid and Shack-Hartmann wavefront sensor data. The algorithm consists of two consecutive steps - a data preprocessing, and an application of the CuReD algorithm, which is a fast method for wavefront reconstruction from Shack-Hartmann sensor data. The closed loop simulation results show that the P-CuReD method provides the same reconstruction quality and is significantly faster than an MVM.

Paper Details

Date Published: 22 August 2014
PDF: 15 pages
Proc. SPIE 9148, Adaptive Optics Systems IV, 91480P (22 August 2014); doi: 10.1117/12.2057375
Show Author Affiliations
Iuliia Shatokhina, Johannes Kepler Univ. Linz (Austria)
Andreas Obereder, MathConsult GmbH (Austria)
Ronny Ramlau, Johannes Kepler Univ. Linz (Austria)

Published in SPIE Proceedings Vol. 9148:
Adaptive Optics Systems IV
Enrico Marchetti; Laird M. Close; Jean-Pierre Véran, Editor(s)

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