Novel null tests for the spatial curvature and homogeneity of the Universe and their machine learning reconstructions

Detalhes bibliográficos
Autores: Arjona, Rubén, Nesseris, Savvas
Tipo de documento: artigo
Data de publicação:2021
País:España
Recursos:Universidad Autónoma de Madrid
Repositório:Biblos-e Archivo. Repositorio Institucional de la UAM
Idioma:inglês
OAI Identifier:oai:repositorio.uam.es:10486/703882
Acesso em linha:http://hdl.handle.net/10486/703882
https://dx.doi.org/10.1103/PhysRevD.103.103539
Access Level:Acceso aberto
Palavra-chave:Cosmos
Chaplygin Gas
Cosmological Models
Física
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spelling Novel null tests for the spatial curvature and homogeneity of the Universe and their machine learning reconstructionsArjona, RubénNesseris, SavvasCosmosChaplygin GasCosmological ModelsFísicaAmerican Physical SocietyDepartamento de Física TeóricaFacultad de Ciencias20212021-05-15research articlehttp://purl.org/coar/resource_type/c_2df8fbb1AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10486/703882https://dx.doi.org/10.1103/PhysRevD.103.103539reponame:Biblos-e Archivo. Repositorio Institucional de la UAMinstname:Universidad Autónoma de MadridInglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:repositorio.uam.es:10486/7038822026-06-23T12:46:27Z
dc.title.none.fl_str_mv Novel null tests for the spatial curvature and homogeneity of the Universe and their machine learning reconstructions
title Novel null tests for the spatial curvature and homogeneity of the Universe and their machine learning reconstructions
spellingShingle Novel null tests for the spatial curvature and homogeneity of the Universe and their machine learning reconstructions
Arjona, Rubén
Cosmos
Chaplygin Gas
Cosmological Models
Física
title_short Novel null tests for the spatial curvature and homogeneity of the Universe and their machine learning reconstructions
title_full Novel null tests for the spatial curvature and homogeneity of the Universe and their machine learning reconstructions
title_fullStr Novel null tests for the spatial curvature and homogeneity of the Universe and their machine learning reconstructions
title_full_unstemmed Novel null tests for the spatial curvature and homogeneity of the Universe and their machine learning reconstructions
title_sort Novel null tests for the spatial curvature and homogeneity of the Universe and their machine learning reconstructions
dc.creator.none.fl_str_mv Arjona, Rubén
Nesseris, Savvas
author Arjona, Rubén
author_facet Arjona, Rubén
Nesseris, Savvas
author_role author
author2 Nesseris, Savvas
author2_role author
dc.contributor.none.fl_str_mv Departamento de Física Teórica
Facultad de Ciencias
dc.subject.none.fl_str_mv Cosmos
Chaplygin Gas
Cosmological Models
Física
topic Cosmos
Chaplygin Gas
Cosmological Models
Física
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-05-15
dc.type.none.fl_str_mv research article
http://purl.org/coar/resource_type/c_2df8fbb1
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10486/703882
https://dx.doi.org/10.1103/PhysRevD.103.103539
url http://hdl.handle.net/10486/703882
https://dx.doi.org/10.1103/PhysRevD.103.103539
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv American Physical Society
publisher.none.fl_str_mv American Physical Society
dc.source.none.fl_str_mv reponame:Biblos-e Archivo. Repositorio Institucional de la UAM
instname:Universidad Autónoma de Madrid
instname_str Universidad Autónoma de Madrid
reponame_str Biblos-e Archivo. Repositorio Institucional de la UAM
collection Biblos-e Archivo. Repositorio Institucional de la UAM
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repository.mail.fl_str_mv
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