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Title: The connection between the host halo and the satellite galaxies of the Milky Way

Journal Article · · The Astrophysical Journal (Online)
ORCiD logo [1]; ORCiD logo [1];  [2];  [1]; ORCiD logo [3];  [4]; ORCiD logo [5];  [2]
  1. The Carnegie Institution for Science, Pasadena, CA (United States)
  2. Stanford Univ., Stanford, CA (United States); SLAC National Accelerator Lab., Menlo Park, CA (United States)
  3. The Ohio State Univ., Columbus, OH (United States)
  4. The Carnegie Institution for Science, Pasadena, CA (United States); California Inst. of Technology (CalTech), Pasadena, CA (United States)
  5. The Univ. of Texas at Austin, Austin, TX (United States)

Many properties of the Milky Way's (MW) dark matter halo, including its mass-assembly history, concentration, and subhalo population, remain poorly constrained. We explore the connection between these properties of the MW and its satellite galaxy population, especially the implication of the presence of the Magellanic Clouds for the properties of the MW halo. Using a suite of high-resolution N-body simulations of MW-mass halos with a fixed final $${M}_{\mathrm{vir}}\sim {10}^{12.1}\,{M}_{\odot }$$, we find that the presence of Magellanic Cloud-like satellites strongly correlates with the assembly history, concentration, and subhalo population of the host halo, such that MW-mass systems with Magellanic Clouds have lower concentration, more rapid recent accretion, and more massive subhalos than typical halos of the same mass. Using a flexible semi-analytic galaxy formation model that is tuned to reproduce the stellar mass function of the classical dwarf galaxies of the MW with Markov-Chain Monte-Carlo, we show that adopting host halos with different mass-assembly histories and concentrations can lead to different best-fit models for galaxy-formation physics, especially for the strength of feedback. These biases arise because the presence of the Magellanic Clouds boosts the overall population of high-mass subhalos, thus requiring a different stellar-mass-to-halo-mass ratio to match the data. These biases also lead to significant differences in the mass–metallicity relation, the kinematics of low-mass satellites, the number counts of small satellites associated with the Magellanic Clouds, and the stellar mass of MW itself. Finally, observations of these galaxy properties can thus provide useful constraints on the properties of the MW halo.

Research Organization:
SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC02-76SF00515
OSTI ID:
1348240
Journal Information:
The Astrophysical Journal (Online), Vol. 830, Issue 2; ISSN 1538-4357
Publisher:
Institute of Physics (IOP)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 11 works
Citation information provided by
Web of Science

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Cited By (7)

Predicted Extension of the Sagittarius Stream to the Milky Way Virial Radius journal February 2017
The Dragonfly Nearby Galaxies Survey. III. The Luminosity Function of the M101 Group journal March 2017
Modeling the Impact of Baryons on Subhalo Populations with Machine Learning journal June 2018
Modeling the Connection between Subhalos and Satellites in Milky Way–like Systems journal March 2019
Predicted Extension of the Sagittarius Stream to the Milky Way Virial Radius text January 2016
The Dragonfly Nearby Galaxies Survey. III. The Luminosity Function of the M101 Group text January 2017
Modeling the Impact of Baryons on Subhalo Populations with Machine Learning text January 2017