Training and Using the Deep Learning Wavefront Sensor

Camilo Weinberger; Felipe Guzman; Esteban Vera

doi:10.1364/3D.2020.JW2A.24

Imaging and Applied Optics Congress
OSA Technical Digest (Optica Publishing Group, 2020),
paper JW2A.24
•https://doi.org/10.1364/3D.2020.JW2A.24

Training and Using the Deep Learning Wavefront Sensor

Camilo Weinberger, Felipe Guzman, and Esteban Vera

Imaging Systems and Applications 2020

Washington, DC United States
22–26 June 2020
ISBN: 978-1-943580-77-4

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Joint Poster Session II (JW2A)

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C. Weinberger, F. Guzman, and E. Vera, "Training and Using the Deep Learning Wavefront Sensor," in Imaging and Applied Optics Congress, OSA Technical Digest (Optica Publishing Group, 2020), paper JW2A.24.

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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.

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