The Milky Way's total satellite population and constraining the mass of the warm dark matter particle

TL;DR

This paper estimates the total satellite galaxy population of the Milky Way using Bayesian analysis of DES and SDSS data, constrains warm dark matter particle properties, and compares WDM and ΛCDM models.

Contribution

It introduces a Bayesian method combining multiple surveys to estimate the Milky Way's satellite population and constrains warm dark matter models based on satellite abundance.

Findings

At least 124 satellites brighter than M_V=0 within 300 kpc of the Sun.

WDM models predict similar satellite numbers as ΛCDM, constraining dark matter properties.

Upcoming LSST survey will detect about half of the satellite population.

Abstract

The Milky Way's (MW) satellite population is a powerful probe of warm dark matter (WDM) models as the abundance of small substructures is very sensitive to the properties of the WDM particle. However, only a partial census of the MW's complement of satellite galaxies exists because surveys of the MW's close environs are incomplete both in depth and in sky coverage. We present a new Bayesian analysis that combines the sample of satellites recently discovered by the Dark Energy Survey (DES) with those found in the Sloan Digital Sky Survey (SDSS) to estimate the total satellite galaxy luminosity function down to $M_{\rm V}=0$. We find that there should be at least $124^{+40}_{-27}$ ($68\%$ CL, statistical error) satellites as bright or brighter than $M_{\rm V}=0$ within 300 kpc of the Sun, with only a weak dependence on MW halo mass. When it comes online the Large Synoptic Survey Telescope should detect approximately half of this population. We also show that WDM models infer the same number of satellites as in $\Lambda$CDM, which will allow us to rule out those models that produce insufficient substructure to be viable.