Publicação: Gaussian process estimation of transition redshift
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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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Journal of Cosmology and Astroparticle Physics, v. 2020, n. 4, 2020.
