https://doi.org/10.1140/epjc/s10052-022-10737-8
Regular Article - Theoretical Physics
Gaussian discriminators between 
CDM and wCDM cosmologies using expansion data
1
Department of Physics, Bu-Ali Sina University, 65178, 016016, Hamedan, Iran
2
Institute of Space Sciences and Astronomy, University of Malta, Msida, Malta
3
Department of Physics, University of Malta, Msida, Malta
Received:
20
May
2022
Accepted:
22
August
2022
Published online:
9
September
2022
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 CDM, wCDM and a non-flat 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 range 
and two different sampling rates have been considered. Our results indicate that considering 
uncertainty, it is possible to discriminate 2
deviation in equation of state from 
. On the other hand, we investigate how precision of the expansion rate data affects discriminating the CDM from a non-flat CDM model. Finally, we perform a parameters inference in both the MCMC and Gaussian linear model, using current available expansion rate data and compare the results.
© The Author(s) 2022
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