Gaussian process estimation of transition redshift

Autor(es)

Jesus, J. F. ; Valentim, R. ; Escobal, A. A. ; Pereira, S. H.

• Tipo de documento: Artigo Científico
• Fonte: Journal of Cosmology and Astroparticle Physics; v. N/A, n. 4, p. 16-pg., 2020-04-01.

Resumo

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)

• Processo FAPESP: 16/09831-0 - Populações de Estrelas de Nêutrons: ferramentas estatísticas bayesianas
• Beneficiário: Rodolfo Valentim da Costa Lima
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• Processo FAPESP: 17/05859-0 - O universo acelerado: natureza e testes da energia escura e matéria escura
• Beneficiário: José Fernando de Jesus
• Modalidade de apoio: Auxílio à Pesquisa - Regular