Fast algorithm for wavefront reconstruction in XAO/SCAO with pyramid wavefront sensor

Iuliia Shatokhina; Andreas Obereder; Ronny Ramlau

doi:10.1117/12.2057375

22 August 2014 Fast algorithm for wavefront reconstruction in XAO/SCAO with pyramid wavefront sensor

Iuliia Shatokhina, Andreas Obereder, Ronny Ramlau

Proceedings Volume 9148, Adaptive Optics Systems IV; 91480P (2014) https://doi.org/10.1117/12.2057375
Event: SPIE Astronomical Telescopes + Instrumentation, 2014, Montréal, Quebec, Canada

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.

Citation Download Citation

Iuliia Shatokhina, Andreas Obereder, and Ronny Ramlau "Fast algorithm for wavefront reconstruction in XAO/SCAO with pyramid wavefront sensor", Proc. SPIE 9148, Adaptive Optics Systems IV, 91480P (22 August 2014); https://doi.org/10.1117/12.2057375

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