Comparison of CDM and with updated galaxy cluster measurements using Bayesian inference
arXiv:2401.11138 · doi:10.1016/j.jheap.2024.06.003
Abstract
We use updated gas mass fraction measurements of 44 massive dynamically relaxed galaxy clusters collated in arXiv:2111.09343 to distinguish between the standard CDM model and universe. For this purpose, we use Bayesian model selection to compare the efficacy of both these cosmological models given the data. The gas mass fraction is modeled using both cosmology-dependent terms and also astrophysical parameters, which account for the variation with cluster mass and redshift. We used two different prior choices for some of the astrophysical parameters. We find a Bayes factors of 50 and 5 for CDM as compared to for these two prior choices. This implies that CDM is favored compared to with significance ranging from substantial to very strong.
arXiv comment8 pages. Accepted for publication in JHEAP
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