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Article overview
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Bayesian correction of $H(z)$ data uncertainties | J. F. Jesus
; T. M. Gregório
; F. Andrade-Oliveira
; R. Valentim
; C. A. O. Matos
; | Date: |
3 Sep 2017 | Abstract: | We compile 41 $H(z)$ data from literature and use them to constrain
O$Lambda$CDM and flat $Lambda$CDM parameters. We show that the available
$H(z)$ suffers from uncertainties overestimation and propose a Bayesian method
to reduce them. As a result of this method, using $H(z)$ only, we find, in the
context of O$Lambda$CDM, $H_0=69.5pm2.5mathrm{,km,s^{-1}Mpc^{-1}}$,
$Omega_m=0.242pm0.036$ and $Omega_Lambda=0.68pm0.14$. In the context of
flat $Lambda$CDM model, we have found
$H_0=70.4pm1.2mathrm{,km,s^{-1}Mpc^{-1}}$ and $Omega_m=0.256pm0.014$.
This corresponds to an uncertainty reduction of up to 30\% when compared to the
uncorrected analysis in both cases. | Source: | arXiv, 1709.0646 | Services: | Forum | Review | PDF | Favorites |
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