Null test of the cosmic curvature using $H(z)$ and supernovae data
Rong-Gen Cai, Zong-Kuan Guo, Tao Yang

TL;DR
This paper presents a model-independent, geometrical null test of cosmic curvature using $H(z)$ and supernova data, employing Gaussian processes for reconstruction, and finds current data consistent with a flat universe.
Contribution
It introduces a novel, model-independent null test for cosmic curvature based on $H(z)$ and luminosity distance data using Gaussian processes.
Findings
Current data are consistent with a flat universe within 1 sigma.
Simulated future data can improve constraints on cosmic curvature.
The method is entirely geometrical and does not rely on specific cosmological models.
Abstract
We introduce a model-independent approach to the null test of the cosmic curvature which is geometrically related to the Hubble parameter and luminosity distance . Combining the independent observations of and , we use the model-independent smoothing technique, Gaussian processes, to reconstruct them and determine the cosmic curvature in the null test relation. The null test is totally geometrical and without assuming any cosmological model. We show that the cosmic curvature is consistent with current observational data sets, falling within the limit. To demonstrate the effect on the precision of the null test, we produce a series of simulated data of the models with different . Future observations in better quality can provide a greater improvement to constrain or refute the flat universe with…
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