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Aug 31, 2023 · Adaptive optics combine different techniques that measure the distortion of wavefronts coming from celestial bodies and correct them in real ...
Adaptive Optics is a field aimed to improve the quality of the images received by terrestrial telescopes by the use of optical instrumentation, ...
Adaptive Optics Correction Using Recurrent Neural Networks for Wavefront Prediction ; ISSN · 2367-3389, ; ISBN · 9783031425356 ; Year of publication · 2023 ; Volume ...
Adaptive Optics Correction Using Recurrent Neural Networks for Wavefront Prediction. S. Fernández, A. Roca, C. González-Gutiérrez, J. Rodríguez, S. Álvarez ...
The ANN is designed to predict the open-loop wavefront slope measurements of a Shack–Hartmann wavefront sensor (SH-WFS) one frame in advance to compensate for a ...
Adaptive optics correction using recurrent neural networks for wavefront prediction. dc.contributor.author, Pérez Fernández, Saúl. dc.contributor.author ...
Adaptive Optics Correction Using Recurrent Neural Networks for Wavefront Prediction. https://doi.org/10.1007/978-3-031-42536-3_34.
We develop a method for wavefront correction in adaptive optics with reflected light and deep neural networks compatible with an epi-detection configuration.
Missing: Recurrent | Show results with:Recurrent
This study explores the potential of an artificial neural network (ANN) as a nonlinear predictor for open-loop wavefronts.
This paper summarizes the application of neural networks in adaptive optics, and shows how neural networks can be used to predict the wavefront, ...