We present a framework that for the first time allows Bayesian model comparison to be performed for field-level inference of cosmological models. We achieve this by taking a simulation-based inference (SBI) approach using neural likelihood estimation, which we couple with the learned harmonic mean estimator in order to compute the Bayesian evidence for model comparison. We apply our framework...
\begin{abstract}
In this work, we investigate a cosmological model within the framework of ( f(Q,T) ) gravity, incorporating two-fluid dynamics composed of matter and radiation. The model is constructed using the anisotropic Bianchi type-I metric to explore the evolution of the universe in an extended gravitational theory where the non-metricity scalar ( Q ) is coupled with the trace of...
It is found that the DESI observation can be explained by non-minimal coupled gravity. In this talk I will show that the resulting non-minimally coupled scalar-tensor gravity theory, Thawing Gravity (TG), also presents a possible resolution to the cosmological tensions. Using the standard Bayes model comparison method, TG has moderate evidence over $\Lambda$CDM with a Bayes factor $\ln B=+1.5$...
