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We use updated gas mass fraction measurements of 44 massive dynamicallyrelaxed galaxy clusters collated in ~\cite{Mantz22} to distinguish between thestandard $\Lambda$CDM model and $R_h=ct$ universe. For this purpose, we useBayesian model selection to compare the efficacy of both these cosmologicalmodels given the data. The gas mass fraction is modeled using bothcosmology-dependent terms and also astrophysical parameters, which account forthe variation with cluster mass and redshift. We find a Bayes factor of 50 for$\Lambda$CDM as compared to $R_h=ct$. This implies that $\Lambda$CDM is verystrongly favored compared to $R_h=ct$.

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