Comparison of $\Lambda$CDM and $R_h = ct$ with updated galaxy cluster $f_{gas}$ measurements using Bayesian inference

Kunj Panchal; Shantanu Desai

Comparison of $\Lambda$CDM and $R_h = ct$ with updated galaxy cluster $f_{gas}$ measurements using Bayesian inference

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arxiv 2401.11138 v2 pith:TPITGK2Z submitted 2024-01-20 astro-ph.CO gr-qc

Kunj Panchal , Shantanu Desai This is my paper · ORCID

classification astro-ph.COgr-qc

keywords lambdamassastrophysicalbayesianchoicesclustercomparedfraction

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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 $\Lambda$CDM model and $R_h=ct$ 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 $\Lambda$CDM as compared to $R_h=ct$ for these two prior choices. This implies that $\Lambda$CDM is favored compared to $R_h=ct$ with significance ranging from substantial to very strong.

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Comparison of $R_h=ct$ and $\Lambda$CDM using DESI DR1 measurements
astro-ph.CO 2025-06 conditional novelty 5.0 of 10

Using DESI DR1 distance measurements, flat LambdaCDM is decisively preferred over R_h=ct, driven almost entirely by the Lyman-alpha data point at redshift 2.33.

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