Abstract
In this paper we reconstruct the growth and evolution of the cosmic structure of the Universe using Markov Chain Monte Carlo algorithms for Gaussian processes [1]. We estimate the difference between the reconstructions that are calculated through a maximization of the kernel hyperparameters and those that are obtained with a complete exploration of the parameter space. We find that the difference between these two approaches is of the order of . Furthermore, we compare our results with those obtained by Planck Collaboration 2018 assuming a CDM model and we do not find a statistically significant difference in the redshift range were the reconstructions of have been made.
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