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CENN: a fully convolutional neural network for cmb recovery in realistic microwave sky simulations
| dc.contributor.author | Casas González, José Manuel | |
| dc.contributor.author | Bonavera, Laura | |
| dc.contributor.author | González-Nuevo González, Joaquín | |
| dc.contributor.author | Baccigalupi, C. | |
| dc.contributor.author | Muñiz Cueli, Marcos | |
| dc.contributor.author | Crespo Iglesias, David | |
| dc.contributor.author | Goitia, E. | |
| dc.contributor.author | Santos Rodríguez, Jesús Daniel | |
| dc.contributor.author | Sánchez Rodríguez, María Luisa | |
| dc.contributor.author | Cos Juez, Francisco Javier de | |
| dc.date.accessioned | 2023-03-02T09:30:19Z | |
| dc.date.available | 2023-03-02T09:30:19Z | |
| dc.date.issued | 2022 | |
| dc.identifier.citation | Astronomy and Astrophysics, 666 (2022); doi:10.1051/0004-6361/202243450 | |
| dc.identifier.issn | 0004-6361 | |
| dc.identifier.uri | http://hdl.handle.net/10651/66741 | |
| dc.description.sponsorship | (MICINN, FEDER) [PGC 2018, PGC2018-101948-B-I00]; [SV-PA-21-AYUD/2021/51301]; Universidad de Oviedo [PAPI-20-PF-23, PAPI-21-PF-04]; [AYA2017-89121-P]; European Union’s Horizon 2020 [210489629] | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Astronomy and Astrophysics | |
| dc.rights | © 2022 Los autores | |
| dc.rights | CC Reconocimiento 4.0 Internacional | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.source | Scopus | |
| dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141001915&doi=10.1051%2f0004-6361%2f202243450&partnerID=40&md5=fd7c5cca01d095e5fe9e0650d76d1a6a | |
| dc.title | CENN: a fully convolutional neural network for cmb recovery in realistic microwave sky simulations | |
| dc.type | journal article | |
| dc.identifier.doi | 10.1051/0004-6361/202243450 | |
| dc.relation.projectID | MICINN/FEDER/PGC2018-101948-B-I00 | |
| dc.relation.projectID | SV-PA-21-AYUD/2021/51301 | |
| dc.relation.projectID | AYA2017-89121-P | |
| dc.relation.projectID | info:eu‐repo/grantAgreement/EC/H2020/210489629 | |
| dc.relation.publisherversion | http://dx.doi.org/10.1051/0004-6361/202243450 | |
| dc.rights.accessRights | open access | |
| dc.type.hasVersion | VoR |
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