Using Gaussian-process reconstructions of cosmic distances and expansion rates, the authors find no statistically significant departure from flatness or from the cosmological principle in current data, and they forecast much tighter constraints from upcoming J-PAS and LIGO observations.
Measurement on the cosmic curvature using the Gaussian process method
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
Inflation predicts that the Universe is spatially flat. The Planck 2018 measurements of the cosmic microwave background anisotropy favour a spatially closed universe at more than 2$\sigma$ confidence level. We use model independent methods to study the issue of cosmic curvature. The method reconstructs the Hubble parameter $H(z)$ from cosmic chronometers data with the Gaussian process method. The distance modulus is then calculated with the reconstructed function $H(z)$ and fitted by type Ia supernovae data. Combining the cosmic chronometers and type Ia supernovae data, we obtain $\Omega_{k0}h^2=0.102\pm 0.066$ which is consistent with a spatially flat universe at the 2$\sigma$ confidence level. By adding the redshift space distortions data to the type Ia supernovae data with a proposed novel model independent method, we obtain $\Omega_{k0}h^2=0.117^{+0.058}_{-0.045}$ and no deviation from $\Lambda$CDM model is found.
fields
astro-ph.CO 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Non-parametric reconstructions of cosmic curvature: current constraints and forecasts
Using Gaussian-process reconstructions of cosmic distances and expansion rates, the authors find no statistically significant departure from flatness or from the cosmological principle in current data, and they forecast much tighter constraints from upcoming J-PAS and LIGO observations.