Cited by 186Galaxies: Formation, Evolution, PhenomenaStellar, planetary, and galactic studiesCosmology and Gravitation Theories

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The missing massive satellites of the Milky Way

Open access
Wang, Jie, Frenk, Carlos S., Navarro, Julio F., Gao, Liang, Sawala, Till·2012·Monthly Notices of the Royal Astronomical Society

Abstract

Recent studies suggest that only three of the 12 brightest satellites of the Milky Way (MW) inhabit dark matter haloes with maximum circular velocity, Vmax, exceeding ∼30 km s−1. This is in apparent contradiction with the Λ cold dark matter (CDM) simulations of the Aquarius Project, which suggest that MW-sized haloes should have at least eight subhaloes with Vmax > 30 km s−1. The absence of luminous satellites in such massive subhaloes is thus puzzling and may present a challenge to the ΛCDM paradigm. We note, however, that the number of massive subhaloes depends sensitively on the (poorly known) virial mass of the MW, and that their scarcity makes estimates of their abundance from a small simulation set like Aquarius uncertain. We use the Millennium Simulation series and the invariance of the scaled subhalo velocity function (i.e. the number of subhaloes as a function of ν, the ratio of the subhalo Vmax to the host halo virial velocity, V200) to secure improved estimates of the abundance of rare massive subsystems. In the range 0.1 < ν < 0.5, Nsub(>ν) is approximately Poisson distributed about an average given by 〈Nsub〉 = 10.2 (ν/0.15)−3.11. This is slightly lower than that in Aquarius haloes, but consistent with recent results from the Phoenix Project. The probability that a ΛCDM halo has three or fewer subhaloes with Vmax above some threshold value, Vth, is then straightforward to compute. It decreases steeply both with decreasing Vth and with increasing halo mass. For Vth = 30 km s−1, ∼40 per cent of Mhalo = 1012 M⊙ haloes pass the test; fewer than ∼5 per cent do so for Mhalo ≳ 2 × 1012 M⊙ and the probability effectively vanishes for Mhalo ≳ 3 × 1012 M⊙. Rather than a failure of ΛCDM, the absence of massive subhaloes might simply indicate that the MW is less massive than is commonly thought.

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Citations

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Metadata

Authors
Wang, J., Frenk, C. S., Navarro, J. F., Gao, L., & Sawala, T.
Affiliations
  • Durham University (GB)
  • University of Victoria (CA)
  • Chinese Academy of Sciences (CN)
Venue
Monthly Notices of the Royal Astronomical Society
Published
2012-07-16
Volume
424
Issue
4
Pages
2715-2721
ISSN
0035-8711 (ISSN-L)
OpenAlex
W1944131141
Cited by
185
References
39
Citations by year
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FWCI
15.76
Type
journal article
Language
en
Open access
Locations
  • Monthly Notices of the Royal Astronomical Society (publishedVersion)
  • Durham Research Online (Durham University) (acceptedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • Durham Research Online (Durham University) (submittedVersion, cc-by)
  • arXiv (Cornell University)
Funders
  • Durham University
  • National Natural Science Foundation of China (11133003, 2009CB24901)
  • Chinese Academy of Sciences
  • Max-Planck-Gesellschaft
  • Department for Business, Innovation and Skills
  • Virgo Consortium
  • Science and Technology Facilities Council (ST/I00162X/1, ST/F002289/1, ST/F010176/1, ST/H008519/1, ST/I001166/1)
  • National Key Research and Development Program of China (2009CB24901)
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 › Astronomy and Astrophysics › Cosmology and Gravitation Theories
Keywords
Milky Way satellites, missing satellites problem, dark matter subhalos, Aquarius Project, Millennium Simulation, PHOENIX project, subhalo abundance, Poisson distribution

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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