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 1%. Furthermore, we compare our results with those obtained by Planck Collaboration 2018 assuming a ΛCDM model and we do not find a statistically significant difference in the redshift range were the reconstructions of fσ8 have been made.
@article{arxiv.2203.03574,
title = {On the degeneracy between $f\sigma_8$ tension and its Gaussian process forecasting},
author = {Mauricio Reyes and Celia Escamilla-Rivera},
journal= {arXiv preprint arXiv:2203.03574},
year = {2022}
}