Model-independent Constraints on Cosmic Curvature and Opacity
Guo-Jian Wang, Jun-Jie Wei, Zheng-Xiang Li, Jun-Qing Xia, Zong-Hong, Zhu

TL;DR
This study develops a model-independent method to simultaneously estimate the universe's spatial curvature and cosmic opacity using expansion rate data and supernova observations, revealing a preference for a flat, transparent universe and highlighting the importance of priors on the Hubble constant.
Contribution
It introduces a novel, model-independent approach combining Gaussian process reconstruction and global fitting to estimate curvature and opacity without assuming a specific cosmological model.
Findings
A flat, transparent universe is generally favored by the data.
The choice of H0 priors significantly influences the results.
There is a strong degeneracy between cosmic curvature and opacity.
Abstract
In this paper, we propose to estimate the spatial curvature of the universe and the cosmic opacity in a model-independent way with expansion rate measurements, , and type Ia supernova (SNe Ia). On the one hand, using a nonparametric smoothing method Gaussian process, we reconstruct a function from opacity-free expansion rate measurements. Then, we integrate the to obtain distance modulus , which is dependent on the cosmic curvature. On the other hand, distances of SNe Ia can be determined by their photometric observations and thus are opacity-dependent. In our analysis, by confronting distance moduli with those obtained from SNe Ia, we achieve estimations for both the spatial curvature and the cosmic opacity without any assumptions for the cosmological model. Here, it should be noted that light curve fitting parameters, accounting for the…
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