Not so lumpy after all: modelling the depletion of dark matter subhaloes by Milky Way-like galaxies

Autor: Eliot Quataert, Claude André Faucher-Giguère, Andrew Wetzel, Tyler Kelley, Andrew S. Graus, Philip F. Hopkins, Shea Garrison-Kimmel, Robyn E. Sanderson, Michael Boylan-Kolchin, Dušan Kereš, James S. Bullock
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Monthly Notices of the Royal Astronomical Society, vol 471, iss 2
Garrison-Kimmel, S; Wetzel, A; Bullock, JS; Hopkins, PF; Boylan-Kolchin, M; Faucher-Giguère, CA; et al.(2017). Not so lumpy after all: Modelling the depletion of dark matter subhaloes by Milky Way-like galaxies. Monthly Notices of the Royal Astronomical Society, 471(2), 1709-1727. doi: 10.1093/MNRAS/STX1710. UC Davis: Retrieved from: http://www.escholarship.org/uc/item/3pb4579b
NASA Astrophysics Data System
Popis: Among the most important goals in cosmology is detecting and quantifying small ($M_{\rm halo}\simeq10^{6-9}~\mathrm{M}_\odot$) dark matter (DM) subhalos. Current probes around the Milky Way (MW) are most sensitive to such substructure within $\sim20$ kpc of the halo center, where the galaxy contributes significantly to the potential. We explore the effects of baryons on subhalo populations in $\Lambda$CDM using cosmological zoom-in baryonic simulations of MW-mass halos from the Latte simulation suite, part of the Feedback In Realistic Environments (FIRE) project. Specifically, we compare simulations of the same two halos run using (1) DM-only (DMO), (2) full baryonic physics, and (3) DM with an embedded disk potential grown to match the FIRE simulation. Relative to baryonic simulations, DMO simulations contain $\sim2\times$ as many subhalos within 100 kpc of the halo center; this excess is $\gtrsim5\times$ within 25 kpc. At $z=0$, the baryonic simulations are completely devoid of subhalos down to $3\times10^6~\mathrm{M}_\odot$ within $15$ kpc of the MW-mass galaxy, and fewer than 20 surviving subhalos have orbital pericenters
Comment: 20 pages, 10 figures, 2 tables. Accepted into MNRAS
Databáze: OpenAIRE