| dc.contributor.author | Aizpuru, Andoni | |
| dc.contributor.author | Arjona Fernández, Rubén | |
| dc.contributor.author | Nesseris, Savvas | |
| dc.contributor.other | UAM. Departamento de Física Teórica | es_ES |
| dc.date.accessioned | 2022-07-19T08:38:56Z | |
| dc.date.available | 2022-07-19T08:38:56Z | |
| dc.date.issued | 2021-08-16 | |
| dc.identifier.citation | Physical Review D 104.4 (2021): 043521 | es_ES |
| dc.identifier.issn | 2470-0010 (print) | es_ES |
| dc.identifier.issn | 2470-0029 (online) | es_ES |
| dc.identifier.uri | http://hdl.handle.net/10486/703199 | |
| dc.format.extent | 8 pag, | es_ES |
| dc.format.mimetype | application/pdf | es_ES |
| dc.language.iso | eng | es_ES |
| dc.publisher | American Physical Society | es_ES |
| dc.relation.ispartof | Physical Review D | es_ES |
| dc.rights | © 2021 American Physical Society | es_ES |
| dc.subject.other | Boltzmann Code | es_ES |
| dc.subject.other | Universe | es_ES |
| dc.subject.other | BAO | es_ES |
| dc.subject.other | Genetic Algorithm | es_ES |
| dc.title | Machine learning improved fits of the sound horizon at the baryon drag epoch | es_ES |
| dc.type | article | es_ES |
| dc.subject.eciencia | Física | es_ES |
| dc.relation.publisherversion | https://doi.org/10.1103/PhysRevD.104.043521 | es_ES |
| dc.identifier.doi | 10.1103/PhysRevD.104.043521 | es_ES |
| dc.identifier.publicationfirstpage | 043521-1 | es_ES |
| dc.identifier.publicationissue | 4 | es_ES |
| dc.identifier.publicationlastpage | 043521-8 | es_ES |
| dc.identifier.publicationvolume | 104 | es_ES |
| dc.relation.projectID | Gobierno de España. SEV-2016-0597 | es_ES |
| dc.relation.projectID | Gobierno de España. PGC2018-094773-B-C32 | es_ES |
| dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
| dc.rights.accessRights | openAccess | es_ES |
| dc.facultadUAM | Facultad de Ciencias | es_ES |
| dc.institutoUAM | Instituto de Física Teórica (IFT) | es_ES |
