Model-based wavefront reconstruction for the pyramid sensor tested on the LOOPS bench - Archive ouverte HAL
Conference Papers Year : 2019

Model-based wavefront reconstruction for the pyramid sensor tested on the LOOPS bench

Abstract

Model-based matrix-free wavefront reconstruction algorithms have proven to provide highly accurate results for both Shack-Hartmann and pyramid wavefront sensors in various simulation environments (OCTOPUS, YAO, COMPASS, OOMAO). Previously, test bench as well as on-sky tests were performed with the CuReD for the Shack-Hartmann sensor providing a convincing performance level together with highly reduced computational efforts. The P-CuReD is a method with linear complexity for wavefront reconstruction from pyramid sensor data which employs the CuReD algorithm and a data preprocessing step converting pyramid signals into Shack-Hartmann-like data. Here we present experimental results for the pyramid sensor being controlled with the P-CuReD on the LOOPS test bench of the Laboratoire d'Astrophysique de Marseille. Through the example of the P-CuReD a comparison of control using matrix-free Fourier domain based methods to standard interaction-matrix-based approaches is provided.
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Dates and versions

hal-02639502 , version 1 (28-05-2020)

Identifiers

  • HAL Id : hal-02639502 , version 1

Cite

Victoria Hutterer, Pierre Janin-Potiron, Iuliia Shatokhina, Olivier Fauvarque, Andreas Obereder, et al.. Model-based wavefront reconstruction for the pyramid sensor tested on the LOOPS bench. 6th International Conference on Adaptive Optics for Extremely Large Telescopes, AO4ELT 2019, Jun 2019, Quebec City, Canada. ⟨hal-02639502⟩
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