Cosmological Tests Using the Angular Size of Galaxy Clusters
Jun-Jie Wei, Xue-Feng Wu, Fulvio Melia

TL;DR
This study compares the standard LCDM model and the R_h=ct universe using galaxy cluster angular size data, finding that both fit well but the R_h=ct model is statistically favored due to fewer parameters, impacting galaxy growth theories.
Contribution
It provides a direct comparison of two cosmological models using galaxy cluster sizes, favoring the simpler R_h=ct universe based on statistical criteria.
Findings
Both models fit the data well based on chi-squared values.
Bayes Information Criterion favors R_h=ct with ~86% likelihood.
Results suggest galaxy growth issues may be due to cosmological assumptions.
Abstract
We use measurements of the galaxy-cluster angular size versus redshift to test and compare the standard model (LCDM) and the R_h=ct Universe. We show that the latter fits the data with a reduced chi^2_dof=0.786 for a Hubble constant H_0= 72.6 (-3.4+3.8) km/s/Mpc, and H_0 is the sole parameter in this model. By comparison, the optimal flat LCDM model, with two free parameters (including Omega_m=0.50 and H_0=73.9 (-9.5+10.6) km/s/Mpc), fits the angular-size data with a reduced chi^2_dof=0.806. On the basis of their chi^2_dof values alone, both models appear to account for the data very well in spite of the fact that the R_h=ct Universe expands at a constant rate, while LCDM does not. However, because of the different number of free parameters in these models, selection tools, such as the Bayes Information Criterion, favour R_h=ct over LCDM with a likelihood of ~86% versus ~14%. These…
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