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Conferences > pcAOP > 2022 > JF1B > JF1B.6

Design and training of a deep neural network for estimating the optical gain in pyramid wavefront sensors

Camilo Weinberger, Felipe Guzmán, Jorge Tapia, Benoit Neichel, and Esteban Vera

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Abstract

This work shows the design and training of a convolutional neural network to improve the linear response of a modulated pyramid wavefront sensor, allowing to estimate and compensate for the optical gain in real time.

© 2022 The Author(s)

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