Neural network wavefront sensor for the Large Binocular Telescope Observatory

Pedro Escárate; Gustavo Rahmer; Julian Christou

doi:10.1117/12.2562406

13 December 2020 Neural network wavefront sensor for the Large Binocular Telescope Observatory

Pedro Escárate, Gustavo Rahmer, Julian Christou

Proceedings Volume 11448, Adaptive Optics Systems VII; 114484F (2020) https://doi.org/10.1117/12.2562406
Event: SPIE Astronomical Telescopes + Instrumentation, 2020, Online Only

Conference Poster

Abstract

Wavefront sensing (WFS) in the context of Adaptive Optics requires intensive computational processing for the reconstruction of the wavefront. In this work, an artificial Neural Network will be trained based using real Pyramid WFS data in order to estimate the Karhunen-Lo´eve modes of the Large Binocular Telescope Adaptive Optics system.

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Pedro Escárate, Gustavo Rahmer, and Julian Christou "Neural network wavefront sensor for the Large Binocular Telescope Observatory", Proc. SPIE 11448, Adaptive Optics Systems VII, 114484F (13 December 2020); https://doi.org/10.1117/12.2562406

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