The tidal evolution of dark matter substructure -- I. Subhalo density profiles

TL;DR

This paper uses high-resolution idealized simulations to improve models of dark matter subhalo density profiles, accounting for tidal effects and initial concentration, enhancing predictions for galaxy formation and dark matter research.

Contribution

It introduces a new, more accurate model for subhalo density evolution that incorporates initial concentration dependence, reducing reliance on numerical artifacts.

Findings

Density profiles depend on mass loss and initial concentration.

Improved fitting functions for subhalo structural parameters.

Model applicable across a wide parameter space.

Abstract

Accurately predicting the abundance and structural evolution of dark matter subhaloes is crucial for understanding galaxy formation, modeling galaxy clustering, and constraining the nature of dark matter. Due to the nonlinear nature of subhalo evolution, cosmological $N$-body simulations remain its primary method of investigation. However, it has recently been demonstrated that such simulations are still heavily impacted by artificial disruption, diminishing the information content on small scales and reducing the reliability of all simulation-calibrated semi-analytical models. In this paper, we utilize the recently released DASH library of high-resolution, idealized simulations of the tidal evolution of subhaloes, which are unhindered by numerical overmerging due to discreteness noise or force softening, to calibrate an improved, more-accurate model of the evolution of the density profiles of subhaloes that undergo tidal heating and stripping within their host halo. By testing previous findings that the structural evolution of a tidally truncated subhalo depends solely on the fraction of mass stripped, independent of the details of the stripping, we identify an additional dependence on the initial subhalo concentration. We provide significantly improved fitting functions for the subhalo density profiles and structural parameters ($V_\mathrm{max}$ and $r_\mathrm{max}$) that are unimpeded by numerical systematics and applicable to a wide range of parameter space. This model will be an integral component of a future semi-analytical treatment of substructure evolution, which can be used to predict key quantities, such as the evolved subhalo mass function and annihilation boost factors, and validate such calculations performed with cosmological simulations.