Forecast: Euclid-like and SKA-like BAO surveys, combined with Gaussian-process regression, could measure H0 to about 1% precision and discriminate between Planck and Riess values at roughly 5 sigma.
Non-parametric reconstruction of cosmological matter perturbations
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
Perturbative quantities, such as the growth rate ($f$) and index ($\gamma$), are powerful tools to distinguish different dark energy models or modified gravity theories even if they produce the same cosmic expansion history. In this work, without any assumption about the dynamics of the Universe, we apply a non-parametric method to current measurements of the expansion rate $H(z)$ from cosmic chronometers and high-$z$ quasar data and reconstruct the growth factor and rate of linearised density perturbations in the non-relativistic matter component. Assuming realistic values for the matter density parameter $\Omega_{m0}$, as provided by current CMB experiments, we also reconstruct the evolution of the growth index $\gamma$ with redshift. We show that the reconstruction of current $H(z)$ data constrains the growth index to $\gamma=0.56 \pm 0.12$ (2$\sigma$) at $z = 0.09$, which is in full agreement with the prediction of the $\Lambda$CDM model and some of its extensions.
fields
astro-ph.CO 1years
2019 1verdicts
ACCEPT 1representative citing papers
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The Hubble constant tension with next-generation galaxy surveys
Forecast: Euclid-like and SKA-like BAO surveys, combined with Gaussian-process regression, could measure H0 to about 1% precision and discriminate between Planck and Riess values at roughly 5 sigma.