Training and using the deep learning wavefront sensor

Camilo Weinberger, Felipe Guzman, Esteban Vera

Research output: Contribution to journalConference articlepeer-review


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
Article numberJW2A.24
JournalOptics InfoBase Conference Papers
StatePublished - 2020
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


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