Predictably Missing Satellites: Subhalo Abundance in Milky Way-like Halos
Catherine E. Fielder, Yao-Yuan Mao, Jeffrey A. Newman, Andrew R., Zentner, and Timothy C. Licquia

TL;DR
This study investigates how specific properties of Milky Way-like dark matter halos influence subhalo abundance, suggesting the Milky Way has fewer satellites than typical halos, which impacts the missing satellites problem.
Contribution
The paper introduces models linking host halo properties to subhalo abundance, highlighting the Milky Way's atypical characteristics and their effect on satellite counts.
Findings
Milky Way likely has 22%-44% fewer low-velocity subhalos than average.
Up to 72% fewer high-velocity subhalos than expected for typical halos.
Concentration is the most predictive parameter for subhalo abundance.
Abstract
On small scales there have been a number of claims of discrepancies between the standard Cold Dark Matter (CDM) model and observations. The 'missing satellites problem' infamously describes the overabundance of subhalos from CDM simulations compared to the number of satellites observed in the Milky Way. A variety of solutions to this discrepancy have been proposed; however, the impact of the specific properties of the Milky Way halo relative to the typical halo of its mass have yet to be explored. Motivated by recent studies that identified ways in which the Milky Way is atypical (e.g., Licquia et al. 2015), we investigate how the properties of dark matter halos with mass comparable to our Galaxy's --- including concentration, spin, shape, and scale factor of the last major merger --- correlate with the subhalo abundance. Using zoom-in simulations of Milky Way-like halos, we build two…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
