Gaussian process estimation of transition redshift
J. F. JesusUniversidade Estadual Paulista (UNESP), Campus Experimental de Itapeva, R. Geraldo Alckmin, 519, 18409-010, Itapeva, SP, BrazilR. ValentimUniversidade Federal de São Paulo (UNIFESP), Departamento de Física, Instituto de Ciências Ambientais, Químicas e Farmacêuticas (ICAQF), Rua São Nicolau 210, 09913-030, Diadema, SP, BrazilA. A. EscobalUniversidade Estadual Paulista (UNESP), Faculdade de Engenharia de Guaratinguetá, Departamento de Física e Química, Av. Dr. Ariberto Pereira da Cunha 333, 12516-410, Guaratinguetá, SP, BrazilS. H. PereiraUniversidade Estadual Paulista (UNESP), Faculdade de Engenharia de Guaratinguetá, Departamento de Física e Química, Av. Dr. Ariberto Pereira da Cunha 333, 12516-410, Guaratinguetá, SP, Brazil
2020en
ABI
Аннотация
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 $z_t=0.59^{+0.12}_{-0.11}$. The reconstruction from SNe Ia data assumes spatial flatness and yields $z_t=0.683^{+0.11}_{-0.082}$. These results were found with a Gaussian kernel and we show that they are consistent with two other kernel choices.
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