Cosmological joint analysis with cosmic growth and expansion rate
arXiv:2204.10597 · doi:10.1016/j.dark.2022.101147
Abstract
The measurements of expansion rate and the growth rate describe the evolution of the universe, and both of them can constrain the cosmological models through data analysis. Due to the lack of data points, these datasets are combined by the traditional combined method ( method) to select a best-fitting cosmological model. In 2017, Linder proposed a joint method, which describes the evolution of the universe through diagram instead of the redshift z. Compared to individual datasets, Linder demonstrated the advantages of the joint method to distinguish cosmologies. In this paper, we compare the significance between the traditional combined method and Linder's joint method by constraining the density parameter using Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC). The result shows that the joint method is more significant than the traditional combined method.
10 pages, 2 figures, 2 tables. Accepted by Physics of the Dark Universe
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Cited by in corpus (3)
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- Estimating Cosmological Parameters and Reconstructing Hubble Constant with Artificial Neural Networks: A Test with covariance matrix and mock H(z)
- Constraining the Hubble Constant with a Simulated Full Covariance Matrix Using Neural Networks