AIC and BIC for cosmological interacting scenarios

TL;DR

This paper evaluates various cosmological interaction models between dark matter and dark energy using AIC and BIC criteria with multiple observational datasets, identifying models that address the coincidence problem.

Contribution

It introduces a comparative analysis of linear and non-linear interacting dark sector models using information criteria and observational data.

Findings

Some interaction models are favored by AIC and BIC.

Certain models help alleviate the coincidence problem.

Model comparison suggests preference for specific interaction forms.

Abstract

In this work we study linear and non-linear cosmological interactions, which depend on dark matter and dark energy densities in the framework of General Relativity. By using the Akaike information criterion (AIC) and the Bayesian information criterion (BIC) with data from SnIa (Union 2.1 and binned JLA), H(z), BAO and CMB we compare the interacting models among themselves and analyze whether more complex interacting models are favored by these criteria. In this context, we find some suitable interactions that alleviate the coincidence problem.