Gaussian discriminators between $\Lambda$CDM and wCDM cosmologies using expansion data

Understand

The Gaussian linear model provides a unique way to obtain the posterior probability distribution as well as the Bayesian evidence analytically.

• Considering the expansion rate data, the Gaussian linear model can be applied for $\Lambda$CDM, wCDM, and a non-flat $\Lambda$CDM.
• In this paper, we simulate the expansion data with various precision and obtain the Bayesian evidence, then it has been used to discriminate the models.
• The data uncertainty is in the range $\sigma\in(0.5,10)\%$ and two different sampling rates have been considered.