# Observational constraints on the oscillating dark energy cosmologies

## TL;DR

This paper evaluates two oscillating dark energy models against combined background and growth rate observational data, finding that they are generally disfavored, especially when considering both data types together.

## Contribution

It provides the first combined analysis of background and growth data to constrain oscillating dark energy models, using likelihood and MCMC methods.

## Key findings

- Both models are disfavored by combined data according to AIC and BIC.
- Expansion data alone cannot reject the models.
- Combined data strongly disfavor the oscillating dark energy models.

## Abstract

In this study we combine the background and the growth rate data in order to study the ability of the two oscillating dark energy parameterizations, to fit the observational data. Using the likelihood and MCMC method we try to explore the posterior space and put constraints on the free parameters of the models. Based on the values of the well known Akaike and Bayesian information criteria we find that both of oscillating dark energy models considered in this work are disfavored by the combined (background+growth rate) data. Although using the expansion data we can not reject oscillating dark energy models, the combined analysis provides strong evidences against these models.