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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Gaussian process estimation of transition redshift

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Author(s):
Jesus, J. F. [1, 2] ; Valentim, R. [3] ; Escobal, A. A. [1] ; Pereira, S. H. [1]
Total Authors: 4
Affiliation:
[1] Univ Estadual Paulista UNESP, Fac Engn Guaratingueta, Dept Fis & Quim, Av Dr Ariberto Pereira Cunha 333, Guaratingueta 12516410, SP - Brazil
[2] Univ Estadual Paulista UNESP, Campus Expt Itapeva, R Geraldo Alckmin 519, Itapeva 18409010, SP - Brazil
[3] Univ Fed Sao Paulo UNIFESP, Dept Fis, Inst Ciencias Ambientais Quim & Farmaceut ICAQF, Rua Sao Nicolau 210, Diadema 09913030, SP - Brazil
Total Affiliations: 3
Document type: Journal article
Source: Journal of Cosmology and Astroparticle Physics; n. 4 APR 2020.
Web of Science Citations: 0
Abstract

This paper aims to put constraints on the transition redshift z(t), 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 z(t) = 0.59(-0.11)(+0.12). The reconstruction from SNe Ia data assumes spatial flatness and yields z(t) = 0.683(-0.082)(+0.11). These results were found with a Gaussian kernel and we show that they are consistent with two other kernel choices. (AU)

FAPESP's process: 16/09831-0 - Neutron Stars populations: bayesian statistics tools
Grantee:Rodolfo Valentim da Costa Lima
Support type: Regular Research Grants
FAPESP's process: 17/05859-0 - The accelerating universe: nature and tests of dark energy and dark matter
Grantee:José Fernando de Jesus
Support type: Regular Research Grants