Gaussian process estimation of transition redshift

Detalhes bibliográficos
Autor(a) principal: Jesus, J. F. [UNESP]
Data de Publicação: 2020
Outros Autores: Valentim, R., Escobal, A. A. [UNESP], Pereira, S. H. [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1088/1475-7516/2020/04/053
http://hdl.handle.net/11449/200397
Resumo: This paper aims to put constraints on the transition redshift zt, which determines the onset of cosmic acceleration, in cosmological-model independent frameworks. In order to do that, we use the non-parametric Gaussian Process method with H(z) and SNe Ia data. The deceleration parameter reconstruction from H(z) data yields zt=0.59+0.12 -0.11. The reconstruction from SNe Ia data assumes spatial flatness and yields zt=0.683+0.11 -0.082. These results were found with a Gaussian kernel and we show that they are consistent with two other kernel choices.
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spelling Gaussian process estimation of transition redshiftThis paper aims to put constraints on the transition redshift zt, which determines the onset of cosmic acceleration, in cosmological-model independent frameworks. In order to do that, we use the non-parametric Gaussian Process method with H(z) and SNe Ia data. The deceleration parameter reconstruction from H(z) data yields zt=0.59+0.12 -0.11. The reconstruction from SNe Ia data assumes spatial flatness and yields zt=0.683+0.11 -0.082. These results were found with a Gaussian kernel and we show that they are consistent with two other kernel choices.Universidade Estadual Paulista (UNESP) Campus Experimental de Itapeva, R. Geraldo Alckmin 519Universidade Estadual Paulista (UNESP) Faculdade de Engenharia de Guaratingueta&acute Departamento de Física e Química, Av. Dr. Ariberto Pereira da Cunha 333Universidade Federal de São Paulo (UNIFESP) Departamento de Física Instituto de Ciências Ambientais Químicas e Farmacêuticas (ICAQF), Rua São Nicolau 210Universidade Estadual Paulista (UNESP) Campus Experimental de Itapeva, R. Geraldo Alckmin 519Universidade Estadual Paulista (UNESP) Faculdade de Engenharia de Guaratingueta&acute Departamento de Física e Química, Av. Dr. Ariberto Pereira da Cunha 333Universidade Estadual Paulista (Unesp)Universidade Federal de São Paulo (UNIFESP)Jesus, J. F. [UNESP]Valentim, R.Escobal, A. A. [UNESP]Pereira, S. H. [UNESP]2020-12-12T02:05:31Z2020-12-12T02:05:31Z2020-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1088/1475-7516/2020/04/053Journal of Cosmology and Astroparticle Physics, v. 2020, n. 4, 2020.1475-7516http://hdl.handle.net/11449/20039710.1088/1475-7516/2020/04/0532-s2.0-85084484995Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Cosmology and Astroparticle Physicsinfo:eu-repo/semantics/openAccess2024-07-01T20:52:37Zoai:repositorio.unesp.br:11449/200397Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:04:05.348873Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Gaussian process estimation of transition redshift
title Gaussian process estimation of transition redshift
spellingShingle Gaussian process estimation of transition redshift
Jesus, J. F. [UNESP]
title_short Gaussian process estimation of transition redshift
title_full Gaussian process estimation of transition redshift
title_fullStr Gaussian process estimation of transition redshift
title_full_unstemmed Gaussian process estimation of transition redshift
title_sort Gaussian process estimation of transition redshift
author Jesus, J. F. [UNESP]
author_facet Jesus, J. F. [UNESP]
Valentim, R.
Escobal, A. A. [UNESP]
Pereira, S. H. [UNESP]
author_role author
author2 Valentim, R.
Escobal, A. A. [UNESP]
Pereira, S. H. [UNESP]
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Universidade Federal de São Paulo (UNIFESP)
dc.contributor.author.fl_str_mv Jesus, J. F. [UNESP]
Valentim, R.
Escobal, A. A. [UNESP]
Pereira, S. H. [UNESP]
description This paper aims to put constraints on the transition redshift zt, which determines the onset of cosmic acceleration, in cosmological-model independent frameworks. In order to do that, we use the non-parametric Gaussian Process method with H(z) and SNe Ia data. The deceleration parameter reconstruction from H(z) data yields zt=0.59+0.12 -0.11. The reconstruction from SNe Ia data assumes spatial flatness and yields zt=0.683+0.11 -0.082. These results were found with a Gaussian kernel and we show that they are consistent with two other kernel choices.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-12T02:05:31Z
2020-12-12T02:05:31Z
2020-04-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1088/1475-7516/2020/04/053
Journal of Cosmology and Astroparticle Physics, v. 2020, n. 4, 2020.
1475-7516
http://hdl.handle.net/11449/200397
10.1088/1475-7516/2020/04/053
2-s2.0-85084484995
url http://dx.doi.org/10.1088/1475-7516/2020/04/053
http://hdl.handle.net/11449/200397
identifier_str_mv Journal of Cosmology and Astroparticle Physics, v. 2020, n. 4, 2020.
1475-7516
10.1088/1475-7516/2020/04/053
2-s2.0-85084484995
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Journal of Cosmology and Astroparticle Physics
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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