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Experience with Artificial Neural Networks Applied in Multi-object Adaptive Optics

Suárez Gómez, Sergio Luis; González-Gutiérrez, Carlos; Alonso, Enrique Díez; Santos, Jesús Daniel; Rodríguez, María Luisa Sánchez; Morris, Tim; Osborn, James; Basden, Alastair; Bonavera, Laura; González, Joaquín González-Nuevo; de Cos Juez, Francisco Javier

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Authors

Sergio Luis Suárez Gómez

Carlos González-Gutiérrez

Enrique Díez Alonso

Jesús Daniel Santos

María Luisa Sánchez Rodríguez

Laura Bonavera

Joaquín González-Nuevo González

Francisco Javier de Cos Juez



Abstract

The use of artificial Intelligence techniques has become widespread in many fields of science, due to their ability to learn from real data and adjust to complex models with ease. These techniques have landed in the field of adaptive optics, and are being used to correct distortions caused by atmospheric turbulence in astronomical images obtained by ground-based telescopes. Advances for multi-object adaptive optics are considered here, focusing particularly on artificial neural networks, which have shown great performance and robustness when compared with other artificial intelligence techniques. The use of artificial neural networks has evolved to the extent of the creation of a reconstruction technique that is capable of estimating the wavefront of light after being deformed by the atmosphere. Based on this idea, different solutions have been proposed in recent years, including the use of new types of artificial neural networks. The results of techniques based on artificial neural networks have led to further applications in the field of adaptive optics, which are included in here, such as the development of new techniques for solar observation or their application in novel types of sensors.

Citation

Suárez Gómez, S. L., González-Gutiérrez, C., Alonso, E. D., Santos, J. D., Rodríguez, M. L. S., Morris, T., …de Cos Juez, F. J. (2019). Experience with Artificial Neural Networks Applied in Multi-object Adaptive Optics. Publications of the Astronomical Society of the Pacific, 131(1004), Article 108012. https://doi.org/10.1088/1538-3873/ab1ebb

Journal Article Type Article
Acceptance Date May 1, 2019
Online Publication Date Sep 16, 2019
Publication Date Oct 31, 2019
Deposit Date Oct 8, 2019
Publicly Available Date Mar 29, 2024
Journal Publications of the Astronomical Society of the Pacific
Print ISSN 0004-6280
Electronic ISSN 1538-3873
Publisher Astronomical Society of the Pacific
Peer Reviewed Peer Reviewed
Volume 131
Issue 1004
Article Number 108012
DOI https://doi.org/10.1088/1538-3873/ab1ebb

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Copyright Statement
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of the Creative Commons Attribution 3.0 licence. Any further
distribution of this work must maintain attribution to the author(s) and the title
of the work, journal citation and DOI.





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