Published November 2019 | Version Submitted + Published
Journal Article Open

Dwarf Galaxies in CDM, WDM, and SIDM: Disentangling Baryons and Dark Matter Physics

  • 1. ROR icon The University of Texas at Austin
  • 2. ROR icon University of California, Irvine
  • 3. ROR icon California Institute of Technology
  • 4. ROR icon University of California, Berkeley
  • 5. ROR icon Northwestern University
  • 6. ROR icon University of California, Davis
  • 7. ROR icon University of California, San Diego

Abstract

We present a suite of FIRE-2 cosmological zoom-in simulations of isolated field dwarf galaxies, all with masses of M_(halo) ≈ 10¹⁰ M_⊙ at z = 0, across a range of dark matter models. For the first time, we compare how both self-interacting dark matter (SIDM) and/or warm dark matter (WDM) models affect the assembly histories as well as the central density structure in fully hydrodynamical simulations of dwarfs. Dwarfs with smaller stellar half-mass radii (r_(1/2) < 500 pc) have lower σ⋆/V_(max) ratios, reinforcing the idea that smaller dwarfs may reside in haloes that are more massive than is naively expected. The majority of dwarfs simulated with self-interactions actually experience contraction of their inner density profiles with the addition of baryons relative to the cores produced in dark-matter-only runs, though the simulated dwarfs are always less centrally dense than in ΛCDM. The V_(1/2)–r_(1/2) relation across all simulations is generally consistent with observations of Local Field dwarfs, though compact objects such as Tucana provide a unique challenge. Overall, the inclusion of baryons substantially reduces any distinct signatures of dark matter physics in the observable properties of dwarf galaxies. Spatially resolved rotation curves in the central regions (<400 pc) of small dwarfs could provide a way to distinguish between CDM, WDM, and SIDM, however: at the masses probed in this simulation suite, cored density profiles in dwarfs with small r_(1/2) values can only originate from dark matter self-interactions.

Additional Information

© 2019 The Author(s) Published by Oxford University Press on behalf of the Royal Astronomical Society. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model). Accepted 2019 September 12. Received 2019 September 12; in original form 2018 November 1. Published: 19 September 2019. AF thanks Bonnie and Emily Collins for the valuable discussions, and Alexander Knebe and Oliver Hahn for making AHF and MUSIC, respectively, publicly available. MBK and AF acknowledge support from the National Science Foundation (grant AST-1517226). MBK was also partially supported by NSFs CAREER grant AST-1752913 and NASA through grant NNX17AG29G and HST grants AR-12836, AR-13888, AR-13896, AR-14282, AR-14554, GO-12914, and GO-14191 awarded by the Space Telescope Science Institute (STScI), which is operated by the Association of Universities for Research in Astronomy (AURA), Inc., under NASA contract NAS5-26555. JSB was supported by NSF AST-1518291, HST-AR-14282, and HST-AR-13888. Support for PFH was provided by an Alfred P. Sloan Research Fellowship, NASA ATP Grant NNX14AH35G, and NSF Collaborative Research Grant #1411920 and CAREER grant #1455342. CAFG was supported by NSF through grants AST-1517491, AST-1715216, and CAREER award AST-1652522, by NASA through grants NNX15AB22G and 17-ATP17-0067, and by a Cottrell Scholar Award from the Research Corporation for Science Advancement. DK was supported by NSF grant AST-1715101 and the Cottrell Scholar Award from the Research Corporation for Science Advancement. AW was supported by NASA through ATP grant 80NSSC18K1097 and grants HST-GO-14734 and HST-AR-15057 from STScI. This work used computational resources of the University of Texas at Austin and the Texas Advanced Computing Center (TACC; http://www.tacc.utexas.edu), the NASA Advanced Supercomputing (NAS) Division and the NASA Center for Climate Simulation (NCCS) through allocations SMD-15-5902, SMD-15-5904, SMD-16-7043, and SMD-16-6991, and the Extreme Science and Engineering Discovery Environment (XSEDE, via allocations TG-AST110035, TG-AST130039, and TG-AST140080), which is supported by National Science Foundation grant number OCI-1053575.

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Additional details

Identifiers

Eprint ID
92729
Resolver ID
CaltechAUTHORS:20190206-105636977

Related works

Funding

NSF
AST-1517226
NSF
AST-1752913
NASA
HST-AR-12836
NASA
HST-AR-13888
NASA
HST-AR-13896
NASA
HST-AR-14282
NASA
HST-AR-14554
NASA
HST-GO-12914
NASA
HST-GO-14191
NASA
NAS5-26555
NSF
AST-1518291
NASA
HST-AR-14282
NASA
HST-AR-13888
Alfred P. Sloan Foundation
NASA
NNX14AH35G
NSF
AST-1411920
NSF
AST-1455342
NSF
AST-1517491
NSF
AST-1715216
NSF
AST-1652522
NASA
NNX15AB22G
NASA
17-ATP17-0067
Cottrell Scholar of Research Corporation
NSF
AST-1715101
NASA
80NSSC18K1097
NASA
HST-GO-14734
NASA
HST-AR-15057
NASA
SMD-15-5902
NASA
SMD-15-5904
NASA
SMD-16-7043
NASA
SMD-16-6991
NSF
TG-AST110035
NSF
TG-AST130039
NSF
TG-AST140080
NSF
OCI-1053575
NASA
NNX17AG29G

Dates

Created
2019-02-07
Created from EPrint's datestamp field
Updated
2023-01-05
Created from EPrint's last_modified field

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Caltech groups
TAPIR, Astronomy Department