Gaussian process estimation of transition redshift
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , |
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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Repositório Institucional da UNESP |
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2946 |
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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´ 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´ 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 |
|
_version_ |
1808129388606128128 |