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Title: Under the FIRElight: Stellar Tracers of the Local Dark Matter Velocity Distribution in the Milky Way

Abstract

The Gaia era opens new possibilities for discovering the remnants of disrupted satellite galaxies in the Solar neighborhood. If the population of local accreted stars is correlated with the dark matter sourced by the same mergers, one can then map the dark matter distribution directly. Using two cosmological zoom-in hydrodynamic simulations of Milky Way-mass galaxies from the Latte suite of Fire-2 simulations, we find a strong correlation between the velocity distribution of stars and dark matter at the solar circle that were accreted from luminous satellites. This correspondence holds for dark matter that is either relaxed or in kinematic substructure called debris flow, and is consistent between two simulated hosts with different merger histories. The correspondence is more problematic for streams because of possible spatial offsets between the dark matter and stars. Here, we demonstrate how to reconstruct the dark matter velocity distribution from the observed properties of the accreted stellar population by properly accounting for the ratio of stars to dark matter contributed by individual mergers. After demonstrating this method using the Fire-2 simulations, we apply it to the Milky Way and use it to recover the dark matter velocity distribution associated with the recently discovered stellar debris field in the Solar neighborhood. Finally, based on results from Gaia, we estimate that $$42^{+26}_{-22}$$% of the local dark matter that is accreted from luminous mergers is in debris flow.

Authors:
ORCiD logo [1];  [2]; ORCiD logo [1]; ORCiD logo [3]; ORCiD logo [4]; ORCiD logo [1]; ORCiD logo [5]; ORCiD logo [6]
  1. California Institute of Technology (CalTech), Pasadena, CA (United States)
  2. Princeton Univ., NJ (United States)
  3. Univ. of California, Davis, CA (United States)
  4. Univ. of Pennsylvania, Philadelphia, PA (United States); Flatiron Inst., New York, NY (United States)
  5. Northwestern Univ., Evanston, IL (United States)
  6. Univ. of California, San Diego, CA (United States)
Publication Date:
Research Org.:
Princeton Univ., NJ (United States)
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP); National Aeronautics and Space Administration (NASA); National Science Foundation (NSF); Alfred P. Sloan Foundation
OSTI Identifier:
1600644
Grant/Contract Number:  
SC0007968; SC0011632; PF5-160136; NAS8-03060; 80NSSC18K1097; HST-GO-14734; HST-AR-15057; AST-1517491; AST-1715216; AST-1652522; NNX15AB22G; 17-ATP17-0067; 1715847; 1455342; NNX15AT06G; JPL 1589742; 17-ATP17-0214; AST-1715101; PHY-1607611
Resource Type:
Accepted Manuscript
Journal Name:
The Astrophysical Journal (Online)
Additional Journal Information:
Journal Name: The Astrophysical Journal (Online); Journal Volume: 883; Journal Issue: 1; Journal ID: ISSN 1538-4357
Publisher:
Institute of Physics (IOP)
Country of Publication:
United States
Language:
English
Subject:
79 ASTRONOMY AND ASTROPHYSICS; dark matter; galaxy formation; kinematics and dynamics

Citation Formats

Necib, Lina, Lisanti, Mariangela, Garrison-Kimmel, Shea, Wetzel, Andrew, Sanderson, Robyn, Hopkins, Philip F., Faucher-Giguère, Claude-André, and Kereš, Dušan. Under the FIRElight: Stellar Tracers of the Local Dark Matter Velocity Distribution in the Milky Way. United States: N. p., 2019. Web. doi:10.3847/1538-4357/ab3afc.
Necib, Lina, Lisanti, Mariangela, Garrison-Kimmel, Shea, Wetzel, Andrew, Sanderson, Robyn, Hopkins, Philip F., Faucher-Giguère, Claude-André, & Kereš, Dušan. Under the FIRElight: Stellar Tracers of the Local Dark Matter Velocity Distribution in the Milky Way. United States. https://doi.org/10.3847/1538-4357/ab3afc
Necib, Lina, Lisanti, Mariangela, Garrison-Kimmel, Shea, Wetzel, Andrew, Sanderson, Robyn, Hopkins, Philip F., Faucher-Giguère, Claude-André, and Kereš, Dušan. Wed . "Under the FIRElight: Stellar Tracers of the Local Dark Matter Velocity Distribution in the Milky Way". United States. https://doi.org/10.3847/1538-4357/ab3afc. https://www.osti.gov/servlets/purl/1600644.
@article{osti_1600644,
title = {Under the FIRElight: Stellar Tracers of the Local Dark Matter Velocity Distribution in the Milky Way},
author = {Necib, Lina and Lisanti, Mariangela and Garrison-Kimmel, Shea and Wetzel, Andrew and Sanderson, Robyn and Hopkins, Philip F. and Faucher-Giguère, Claude-André and Kereš, Dušan},
abstractNote = {The Gaia era opens new possibilities for discovering the remnants of disrupted satellite galaxies in the Solar neighborhood. If the population of local accreted stars is correlated with the dark matter sourced by the same mergers, one can then map the dark matter distribution directly. Using two cosmological zoom-in hydrodynamic simulations of Milky Way-mass galaxies from the Latte suite of Fire-2 simulations, we find a strong correlation between the velocity distribution of stars and dark matter at the solar circle that were accreted from luminous satellites. This correspondence holds for dark matter that is either relaxed or in kinematic substructure called debris flow, and is consistent between two simulated hosts with different merger histories. The correspondence is more problematic for streams because of possible spatial offsets between the dark matter and stars. Here, we demonstrate how to reconstruct the dark matter velocity distribution from the observed properties of the accreted stellar population by properly accounting for the ratio of stars to dark matter contributed by individual mergers. After demonstrating this method using the Fire-2 simulations, we apply it to the Milky Way and use it to recover the dark matter velocity distribution associated with the recently discovered stellar debris field in the Solar neighborhood. Finally, based on results from Gaia, we estimate that $42^{+26}_{-22}$% of the local dark matter that is accreted from luminous mergers is in debris flow.},
doi = {10.3847/1538-4357/ab3afc},
journal = {The Astrophysical Journal (Online)},
number = 1,
volume = 883,
place = {United States},
year = {2019},
month = {9}
}

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