ConferencePaper SCOPUS
Proceedings of SPIE - The International Society for Optical Engineering  (2020)

Neural network wavefront sensor for the Large Binocular Telescope Observatory

Christou, Julian

Keywords: wavefront sensing, Pyramid wavefront sensor, Shack-Hartmann wavefront sensor, Artificial Neural Network

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-Loéve modes of the Large Binocular Telescope Adaptive Optics system.

Más información

Título según SCOPUS: Neural network wavefront sensor for the Large Binocular Telescope Observatory
Título de la Revista: Proceedings of SPIE - The International Society for Optical Engineering
Volumen: 11448
Editorial: SPIE
Fecha de publicación: 2020
Año de Inicio/Término: Diciembre, 2020
Idioma: English
URL: https://doi.org/10.1117/12.2562406
DOI:

10.1117/12.2562406
Notas: SCOPUS - SCOPUS