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29 August 2022 Machine learning for wavefront sensing
Alison P. Wong, Barnaby R. M. Norris, Vincent Deo, Olivier Guyon, Peter G. Tuthill, Julien Lozi, Sébastien Vievard, Kyohoon Ahn
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Proceedings Volume 12185, Adaptive Optics Systems VIII; 121852I (2022) https://doi.org/10.1117/12.2628869
Event: SPIE Astronomical Telescopes + Instrumentation, 2022, Montréal, Québec, Canada
Abstract
Advances in the field of deep learning have motivated a flurry of research into the application of neural networks to wavefront sensing for adaptive optics. This paper gives an overview of current research in this area, highlighting new methods in deep learning that wavefront sensing stands to improve from. Finally we discuss future endeavours and speculate on how deep learning is expected to impact the field of wavefront sensing.
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Alison P. Wong, Barnaby R. M. Norris, Vincent Deo, Olivier Guyon, Peter G. Tuthill, Julien Lozi, Sébastien Vievard, and Kyohoon Ahn "Machine learning for wavefront sensing", Proc. SPIE 12185, Adaptive Optics Systems VIII, 121852I (29 August 2022); https://doi.org/10.1117/12.2628869
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KEYWORDS
Wavefront sensors
Wavefronts
Adaptive optics
Sensors
Wavefront reconstruction
Neural networks
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