Cited by 116Galaxies: Formation, Evolution, PhenomenaStellar, planetary, and galactic studiesDark Matter and Cosmic Phenomena

Estimating the dark matter halo mass of our Milky Way using dynamical tracers

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Wang, Wenting, Han, Jiaxin, Cooper, Andrew P., Cole, Shaun, Frenk, Carlos, Lowing, Ben·2015·Monthly Notices of the Royal Astronomical Society

Abstract

The mass of the dark matter halo of the Milky Way can be estimated by fitting analytical models to the phase-space distribution of dynamical tracers. We test this approach using realistic mock stellar haloes constructed from the Aquarius N-body simulations of dark matter haloes in the Λ cold dark matter cosmology. We extend the standard treatment to include a Navarro–Frenk–White potential and use a maximum likelihood method to recover the parameters describing the simulated haloes from the positions and velocities of their mock halo stars. We find that the estimate of halo mass is highly correlated with the estimate of halo concentration. The best-fitting halo masses within the virial radius, R200, are biased, ranging from a 40 per cent underestimate to a 5 per cent overestimate in the best case (when the tangential velocities of the tracers are included). There are several sources of bias. Deviations from dynamical equilibrium can potentially cause significant bias; deviations from spherical symmetry are relatively less important. Fits to stars at different galactocentric radii can give different mass estimates. By contrast, the model gives good constraints on the mass within the half-mass radius of tracers even when restricted to tracers within 60 kpc. The recovered velocity anisotropies of tracers, β, are biased systematically, but this does not affect other parameters if tangential velocity data are used as constraints.

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Research works printed but not linked: 2

  1. Han J., Wang W., Cole S., Frenk C. S., 2015a, preprint (arXiv:1507.00769) · arXiv
  2. Han J., Wang W., Cole S., Frenk C. S., 2015b, preprint (arXiv:1507.00771) · arXiv

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Authors
Wang, W., Han, J., Cooper, A. P., Cole, S., Frenk, C., & Lowing, B.
Affiliations
Durham University (GB)
Corresponding author
Wang, Wenting
Venue
Monthly Notices of the Royal Astronomical Society
Published
2015-08-13
Volume
453
Issue
1
Pages
377-400
ISSN
  • 0035-8711 (ISSN-L)
  • 1365-2966
OpenAlex
W1883919649
Cited by
116
References
95
Citations by year
2026: 1 · 2025: 5 · 2024: 3 · 2023: 3 · 2022: 7 · 2021: 6 · 2020: 10 · 2019: 14 · 2018: 18 · 2017: 19 · 2016: 21 · 2015: 9
FWCI
12.44
Type
journal article
Language
en
Open access
Locations
  • Monthly Notices of the Royal Astronomical Society (publishedVersion)
  • Durham Research Online (Durham University) (publishedVersion, other-oa)
  • Durham Research Online (Durham University) (acceptedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • Durham Research Online (Durham University) (submittedVersion, cc-by)
  • HighWire Press Open Archive (submittedVersion)
  • arXiv (Cornell University)
Funders
  • Durham University (ST/K00042X/1, ST/K003267/1, ST/H008519/1)
  • Rijksuniversiteit Groningen
  • Science and Technology Facilities Council (ST/I00162X/1, ST/H008519, ST/K00042X/1, ST/M007006/1, ST/L00075X/1, ST/H008519/1, ST/K003267/1)
  • Leibniz-Gemeinschaft
Topics
  • Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Galaxies: Formation, Evolution, Phenomena
  • Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Stellar, planetary, and galactic studies
  • Physical Sciences › Physics and Astronomy › Nuclear and High Energy Physics › Dark Matter and Cosmic Phenomena
Keywords
Milky Way dark matter halo, halo mass estimation, stellar halo, Navarro-Frenk-White profile, halo concentration, mass bias, velocity anisotropy, dynamic equilibrium, Aquarius simulations, maximum likelihood fitting

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