Nonlinear power spectrum in clustering and smooth dark energy models beyond the BAO scale

TL;DR

This paper develops numerical and semi-analytical methods to accurately predict the nonlinear power spectrum in dark energy models with clustering or smooth quintessence beyond the BAO scale, extending existing resummation techniques.

Contribution

It introduces an extension of the resummation method for dark energy models with evolving equations of state to compute the nonlinear power spectrum beyond the BAO scale.

Findings

Achieves predictions within a few percent accuracy in the mildly nonlinear regime.

Provides both numerical and approximate semi-analytical expressions.

Extends the applicability of resummation methods to evolving dark energy models.

Abstract

We study the nonlinear effects of the clustering and smooth quintessence. We present numerical and also approximate semi-analytical expressions of nonlinear power spectrum both for clustering and smooth dark energy models beyond the Baryon Acoustic Oscillations (BAO) scale. This approximation is motivated by the extension of the resummation method of Anselmi $\&$ Pietroni (J Cosmol Astro-Part Phys 12:13, 2012. \url{arXiv:1205.2235}) for the dark energy models with evolving equation of state. The results of this scheme allow us for the prediction of the nonlinear power spectrum in the mildly nonlinear regime up to few percentage accuracies compared to the other available tools to compute the nonlinear power spectrum for the evolving dark energy models.