Neural networks for image-based wavefront sensing for astronomy
Andersen, Torben; Owner-Petersen, Mette; Enmark, Anita (2019-09-13). Neural networks for image-based wavefront sensing for astronomy. Optics Letters, 44, (18), 4618 - 4621
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Published
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English
Authors:
Andersen, Torben
;
Owner-Petersen, Mette
;
Enmark, Anita
Department:
Lund Observatory - Has been reorganised
Abstract:
We study the possibility of using convolutional neural networks for wavefront sensing from a guide star image in astronomical telescopes. We generated a large number of artificial atmospheric wavefront screens and determined associated best-fit Zernike polynomials. We also generated in-focus and out-of-focus point-spread functions. We trained the well-known “Inception” network using the artificial data sets and found that although the accuracy does not permit diffraction-limited correction, the potential improvement in the residual phase error is promising for a telescope in the 2–4 m class.
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