Differentiating dark interactions with perturbation

TL;DR

This paper investigates cosmological models with dark matter and dark energy interactions, analyzing perturbations and Bayesian evidence to determine if early or recent interactions better explain current observations.

Contribution

It introduces a dynamical coupling parameter in interacting dark sector models and compares early versus recent interaction scenarios using observational data.

Findings

Early interaction scenario is statistically preferred over recent interaction.

Bayesian evidence favors models with early dark sector interactions.

Perturbation analysis supports the early interaction hypothesis.

Abstract

A cosmological model with an energy transfer between dark matter (DM) and dark energy (DE) can give rise to comparable energy densities at the present epoch. The present work deals with the perturbation analysis, parameter estimation and Bayesian evidence calculation of interacting models with dynamical coupling parameter that determines the strength of the interaction. We have considered two cases, where the interaction is a more recent phenomenon and where the interaction is a phenomenon in the distant past. Moreover, we have considered the quintessence DE equation of state with Chevallier-Polarski-Linder (CPL) parametrisation and energy flow from DM to DE. Using the current observational datasets like the cosmic microwave background (CMB), baryon acoustic oscillation (BAO), Type Ia Supernovae (SNe Ia) and redshift-space distortions (RSD), we have estimated the mean values of the parameters. Using the perturbation analysis and Bayesian evidence calculation, we have shown that interaction present as a brief early phenomenon is preferred over a recent interaction.