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Wavefront prediction using artificial neural networks for open-loop adaptive optics
dc.contributor.author | Liu, Xuewen | |
dc.contributor.author | Morris, Tim | |
dc.contributor.author | Saunter, Chris | |
dc.contributor.author | Cos Juez, Francisco Javier de | |
dc.contributor.author | González Gutiérrez, Carlos | |
dc.contributor.author | Bardou, Lisa | |
dc.date.accessioned | 2021-01-27T10:19:28Z | |
dc.date.available | 2021-01-27T10:19:28Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Monthly Notices of the Royal Astronomical Society, 496(1), p. 456-464 (2020); doi:10.1093/mnras/staa1558 | |
dc.identifier.issn | 0035-8711 | |
dc.identifier.uri | http://hdl.handle.net/10651/57482 | |
dc.description.sponsorship | (...) CGG and JDCJ acknowledge financial support from the I+D 2017 project AYA2017-89121-P and JDCJ acknowledges support from the European Union’s Horizon 2020 research and innovation programme under the H2020- INFRAIA-2018-2020 grant agreement no 210489629. | |
dc.format.extent | p. 456-464 | |
dc.language.iso | eng | |
dc.relation.ispartof | Monthly Notices of the Royal Astronomical Society | |
dc.rights | © 2020 los autores. Publicado por Oxford University Press en nombre de la Royal Astronomical Society | |
dc.rights | CC Reconocimiento - No Comercial - Sin Obra Derivada 4.0 Internacional | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.source | Scopus | |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088564862&doi=10.1093%2fmnras%2fstaa1558&partnerID=40&md5=a6e4233b3ed4d867b736fbcf0e0af9f8 | |
dc.title | Wavefront prediction using artificial neural networks for open-loop adaptive optics | |
dc.type | journal article | |
dc.identifier.doi | 10.1093/mnras/staa1558 | |
dc.relation.projectID | Universidad de Oviedo/AYA2017-89121-P | |
dc.relation.projectID | info:eu‐repo/grantAgreement/EC/H2020/210489629 | |
dc.relation.publisherversion | http://dx.doi.org/10.1093/mnras/staa1558 | |
dc.rights.accessRights | open access | |
dc.type.hasVersion | VoR |
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