Potentialities of Hubble parameter and expansion rate function data to alleviate Hubble tension
arXiv:2204.01020 · doi:10.1093/mnras/stac3617
Abstract
Taking advantage of Gaussian process (GP), we obtain an improved estimate of the Hubble constant, km s Mpc, using Hubble parameter [] from cosmic chronometers (CCH) and expansion rate function [], extracted from type Ia supernovae, data. We also use CCH data, including the ones with full covariance matrix, and data to obtain a determination of km s Mpc, which implies that the involvement of full covariance matrix results in higher values and uncertainties of . These results are higher than those obtained by directly reconstructing CCH data with GP. In order to estimate the potential of future CCH data, we simulate two sets of data and use them to constrain by either using GP reconstruction or fitting them with data. We find that simulated data alleviate tension by pushing values higher towards km s Mpc. We also find that joint + data favor higher values of , which is also confirmed by constraining in the flat concordance model and 2-order Taylor expansion of . In summary, we conclude that more and better-quality CCH data as well as data can provide a new and useful perspective on resolving tension.
14pages, 11 figures, MNRAS accepted version
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