Dynamical Dark Energy Properties Hidden in the Dark Matter Halos and Voids

TL;DR

This study uses N-body simulations to compare dark matter halos and voids in different dark energy models, finding void properties are more effective for distinguishing these models than halo properties.

Contribution

The paper introduces a new void finder and demonstrates that void properties better discriminate between dynamical dark energy models than halo properties.

Findings

Void sizes are larger in the PL model compared to LCDM.

Halo velocity dispersion is sensitive to dark energy models.

Void properties outperform halo properties in model discrimination.

Abstract

In this paper, we analysed the halos and voids properties of a GR-based N-body simulation carried out at redshifts z= 0.0 and z= 0.8 as differences between dynamical dark energy models (namely PL and CPL) with respect to LCDM. Analysing the halos demonstrates that both models, PL and CPL, behave like LCDM, despite the velocity dispersion of halos was more sensitive to the dynamical dark energy model. In addition, a void finder was developed to extract the properties of voids from simulated data. Further statistical model on voids confirms that the PL model produces larger voids. In summary, our novel simulation demonstrates void properties are better than halo properties in discriminating between dark energy models. Hence, the results suggest to make more use of the properties of voids in future studies of discriminating dynamical dark energy models.