Size matters: the non-universal density profile of subhaloes in SPH simulations and implications for the Milky Way's dSphs

TL;DR

This study shows that the Einasto profile best describes subhalo density profiles in simulations, reveals their non-universality, and helps reconcile observed dwarf galaxies with simulation predictions, addressing the 'massive failures' problem.

Contribution

It demonstrates the non-universality of subhalo density profiles using the Einasto model and links simulation results to observed dwarf galaxy properties.

Findings

Einasto profile fits subhaloes better than NFW.

Subhalo shape parameter correlates with mass.

Results align with observed dwarf galaxy data.

Abstract

We use dark matter only and full hydrodynamical Constrained Local UniversE Simulations (CLUES) of the formation of the Local Group to study the density profile of subhaloes of the simulated Milky Way and Andromeda galaxies. We show that the Einasto model provides the best description of the subhaloes' density profile, as opposed to the more commonly used NFW profile or any generalisation of it. We further find that the Einasto shape parameter \nEin\ is strongly correlated with the total subhalo mass, pointing towards the notion of a non-universality of the subhaloes' density profile. We observe that the effect of mass loss due to tidal stripping, in both the dark matter only and the hydrodynamical run, is the reduction of the shape parameter \nEin\ between the infall and the present time. Assuming now that the dSphs of our Galaxy follow the Einasto profile and using the maximum and minimum values of \nEin\ from our hydrodynamical simulation as a gauge, we can improve the observational constraints on the \Rmax-\Vmax\ pairs obtained for the brightest satellite galaxies of the Milky Way. When considering only the subhaloes with $-13.2\lesssim M_V\lesssim-8.8$, i.e. the range of luminosity of the classical dwarfs, we find that all our simulated objects are consistent with the observed dSphs if their haloes follow the Einasto model with $1.6\lesssim n_{\rm E} \lesssim5.3$. The numerically motivated Einasto profile for the observed dSphs will alleviate the recently presented "massive failures" problem.