Modeling the Connection between Subhalos and Satellites in Milky Way–like Systems

Nadler, Ethan O.; Mao, Yao -Yuan; Green, Gregory M.; Wechsler, Risa H.

doi:10.3847/1538-4357/ab040e

Title: Modeling the Connection between Subhalos and Satellites in Milky Way–like Systems

Journal Article · Fri Mar 01 00:00:00 EST 2019 · The Astrophysical Journal (Online)

DOI:https://doi.org/10.3847/1538-4357/ab040e· OSTI ID:1505433

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Stanford Univ., Stanford, CA (United States)
Univ. of Pittsburgh, Pittsburgh, PA (United States)
Stanford Univ., Stanford, CA (United States); SLAC National Accelerator Lab., Menlo Park, CA (United States)

We develop a comprehensive and flexible model for the connection between satellite galaxies and dark matter subhalos in dark matter-only zoom-in simulations of Milky Way (MW)–mass host halos. We systematically identify the physical and numerical uncertainties in the galaxy–halo connection and simulations underlying our method, including (i) the influence of host halo properties; (ii) the relationship between satellite luminosities and subhalo properties, including the effects of reionization; (iii) the relationship between satellite and subhalo locations; (iv) the relationship between satellite sizes and subhalo properties, including the effects of tidal stripping; (v) satellite and subhalo disruption due to baryonic effects; and (vi) artificial subhalo disruption and orphan satellites. To illustrate our approach, we fit this model to the luminosity distribution of both classical MW satellites and those discovered in the Sloan Digital Sky Survey by performing realistic mock observations that depend on the luminosity, size, and distance of our predicted satellites, and we infer the total satellite population that will be probed by upcoming surveys. As a result, we argue that galaxy size and surface brightness modeling will play a key role in interpreting current and future observations, as the expected number of observable satellites depends sensitively on their surface brightness distribution.

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Research Organization:: SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC02-76SF00515

OSTI ID:: 1505433

Journal Information:: The Astrophysical Journal (Online), Vol. 873, Issue 1; ISSN 1538-4357

Publisher:: Institute of Physics (IOP)Copyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 51 works

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Bent by baryons: the low mass galaxy-halo relation Sawala, Till; Frenk, Carlos S.; Fattahi, Azadeh arXiv https://doi.org/10.48550/arxiv.1404.3724	text	January 2014
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Unveiling the Milky Way: A New Technique for Determining the Optical Color and Luminosity of our Galaxy Licquia, Timothy C.; Newman, Jeffrey A.; Brinchmann, Jarle arXiv https://doi.org/10.48550/arxiv.1508.04446	text	January 2015
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Knowing the unknowns: uncertainties in simple estimators of galactic dynamical masses Campbell, David J. R.; Frenk, Carlos S.; Jenkins, Adrian arXiv https://doi.org/10.48550/arxiv.1603.04443	text	January 2016
Organized Chaos: Scatter in the relation between stellar mass and halo mass in small galaxies Garrison-Kimmel, Shea; Bullock, James S.; Boylan-Kolchin, Michael arXiv https://doi.org/10.48550/arxiv.1603.04855	text	January 2016
The upper bound on the lowest mass halo Jethwa, Prashin; Erkal, Denis; Belokurov, Vasily arXiv https://doi.org/10.48550/arxiv.1612.07834	text	January 2016
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nIFTy Cosmology: the clustering consistency of galaxy formation models Pujol, Arnau; Skibba, Ramin A.; Gaztañaga, Enrique arXiv https://doi.org/10.48550/arxiv.1702.02620	text	January 2017
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Halo Substructure and the Power Spectrum Zentner, Andrew R.; Bullock, James S. arXiv https://doi.org/10.48550/arxiv.astro-ph/0212339	text	January 2002
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The Physics of Galaxy Clustering I: A Model for Subhalo Populations Zentner, Andrew R.; Berlind, Andreas A.; Bullock, James S. arXiv https://doi.org/10.48550/arxiv.astro-ph/0411586	text	January 2004
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Double dark matter vision: twice the number of compact-source lenses with narrow-line lensing and the WFC3 grism Nierenberg, A. M.; Gilman, D.; Treu, T. Monthly Notices of the Royal Astronomical Society, Vol. 492, Issue 4 https://doi.org/10.1093/mnras/stz3588	journal	December 2019
The velocity anisotropy of the Milky Way satellite system Riley, Alexander H.; Fattahi, Azadeh; Pace, Andrew B. Monthly Notices of the Royal Astronomical Society, Vol. 486, Issue 2 https://doi.org/10.1093/mnras/stz973	journal	April 2019
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Mining for Dark Matter Substructure: Inferring Subhalo Population Properties from Strong Lenses with Machine Learning Brehmer, Johann; Mishra-Sharma, Siddharth; Hermans, Joeri The Astrophysical Journal, Vol. 886, Issue 1 https://doi.org/10.3847/1538-4357/ab4c41	journal	November 2019
Constraints on Dark Matter Microphysics from the Milky Way Satellite Population Nadler, Ethan O.; Gluscevic, Vera; Boddy, Kimberly K. The Astrophysical Journal, Vol. 878, Issue 2 https://doi.org/10.3847/2041-8213/ab1eb2	journal	June 2019
The velocity anisotropy of the Milky Way satellite system Riley, Alexander H.; Fattahi, Azadeh; Pace, Andrew B. arXiv https://doi.org/10.48550/arxiv.1810.10645	text	January 2018
Constraints on Dark Matter Microphysics from the Milky Way Satellite Population Nadler, Ethan O.; Gluscevic, Vera; Boddy, Kimberly K. arXiv https://doi.org/10.48550/arxiv.1904.10000	text	January 2019

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