Training and using the deep learning wavefront sensor

Camilo Weinberger, Felipe Guzman, Esteban Vera

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We propose an Adaptive Optics system controlled by a Slow Deep Learning Wavefront Sensor architecture that can predict and correct the first Zernike modes of low refresh frequency atmospheric effects to anticipate the AO in astronomical observations.

Original languageEnglish
Title of host publicationComputational Optical Sensing and Imaging, COSI 2020
PublisherThe Optical Society
ISBN (Electronic)9781557528209
StatePublished - 2020
Externally publishedYes
EventComputational Optical Sensing and Imaging, COSI 2020 - Part of Imaging and Applied Optics Congress 2020 - Virtual, Online, United States
Duration: 22 Jun 202026 Jun 2020

Publication series

NameOptics InfoBase Conference Papers

Conference

ConferenceComputational Optical Sensing and Imaging, COSI 2020 - Part of Imaging and Applied Optics Congress 2020
Country/TerritoryUnited States
CityVirtual, Online
Period22/06/2026/06/20

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