Bayesian evidence for $\alpha$-attractor dark energy models

Understand

Dark energy models with tracker properties have gained attention due to the large range of initial conditions leading to the current value of the dark energy density parameter.

• A well-motivated family of these models are the so-called $\alpha$-attractors, which show the late time behavior of a cosmological constant.
• In the present paper we perform a model-selection analysis of a variety of $\alpha$-attractor potentials in comparison with a non-flat $\Lambda$CDM model.
• Specifically, we compute the Bayes Factor for the L-Model, the Oscillatory Tracker Model, the Recliner Model, and the Starobinsky Model, while considering the non-flat $\Lambda$CDM as the base model.