AO4ELT5 Proceedings

An approach using deep learning for tomographic reconstruction in solar observation

Suárez-Gómez, Sergio Luis (University of Oviedo), González-Gutiérrez, Carlos (University of Oviedo), Sánchez-Lasheras, Fernando (University of Oviedo), Basden, Alistair G. (University of Durham), Montilla, Icíar (Instituto de Astrofísica de Canarias), Collados-Vera, Manuel (Instituto de Astrofísica de Canarias), De Cos Juez, Francisco Javier (University of Oviedo)

Solar observations with large telescopes have to face numerous challenges for its implementation. Adapting the current reconstructor systems of adaptive optics, which were developed for night observations to remove the atmospheric turbulence, is one of them. Neural networks were proved as a great solution in different fields, as image processing or in tomographic reconstruction. In this paper, possible uses of neural networks in solar adaptive optics will be explored, providing some early results of their application to different fields of adaptive optics.

DOI: 10.26698/AO4ELT5.0033- Proceeding PDF

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