Cited by 283Galaxies: Formation, Evolution, PhenomenaCosmology and Gravitation TheoriesDark Matter and Cosmic Phenomena

The mass–concentration–redshift relation of cold dark matter haloes

Open access
Ludlow, Aaron D., Navarro, Julio F., Angulo, Raúl E., Boylan-Kolchin, Michael, Springel, Volker, Frenk, Carlos, White, Simon D. M.·2014·Monthly Notices of the Royal Astronomical Society

Abstract

We use the Millennium Simulation series to investigate the mass and redshift dependence of the concentration of equilibrium cold dark matter (CDM) haloes. We extend earlier work on the relation between halo mass profiles and assembly histories to show how the latter may be used to predict concentrations for haloes of all masses and at any redshift. Our results clarify the link between concentration and the ‘collapse redshift’ of a halo as well as why concentration depends on mass and redshift solely through the dimensionless ‘peak height’ mass parameter, ν(M, z) = δcrit(z)/σ(M, z). We combine these results with analytic mass accretion histories to extrapolate the c(M, z) relations to mass regimes difficult to reach through direct simulation. Our model predicts that, at given z, c(M) should deviate systematically from a simple power law at high masses, where concentrations approach a constant value, and at low masses, where concentrations are substantially lower than expected from extrapolating published empirical fits. This correction may reduce the expected self-annihilation boost factor from substructure by about one order of magnitude. The model also reproduces the c(M, z) dependence on cosmological parameters reported in earlier work and thus provides a simple and robust account of the relation between cosmology and the mass–concentration–redshift relation of CDM haloes.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/mnras/stu483

Cites

53 of 53 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The high concentration inferred by such studies is in tension with theoretical expectations from cosmological simulations, which predict a mean concentration of ∼9 and a 68 percentile range of ∼[7,12].

    “that is in tension with theoretical expectations based on cosmological simulations, which predict a mean concentration of ∼ 9 and a 68 percentile range of ∼ [7 , 12]”

    From The milky way total mass profile as inferred from Gaia DR2 (2020) · cites this paper as Ludlow et al. 2014

    Section 4.1 reports simulation-based median halo concentrations and 25th–75th percentile ranges; Section 4.4 discusses predicted concentrations that depend on halo mass and cosmology. Neither passage gives a mean of ∼9 or a 68-percentile range of ∼[7,12], so the numerical expectation attributed to this paper is not supported by our copy. The cited passages also do not assess whether the inferred concentration is in tension with those expectations. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 3

  1. R E F E R E N C E S Anderhalden D., Diemand J., 2013, J. Cosmol. Astropart. Phys., preprint (arXiv:1302.0003) · arXiv
  2. Planck Collaboration et al., 2013, preprint (arXiv:1303.5076) · arXiv
  3. Prada F., Klypin A. A., Cuesta A. J., Betancort-Rijo J. E., Primack J., 2012, MNRAS, 423, 3018 Press

Cited by

Sorted by citations

Authors
Ludlow, A. D., Navarro, J. F., Angulo, R. E., Boylan-Kolchin, M., Springel, V., Frenk, C., & White, S. D. M.
Affiliations
  • University of Bonn (DE)
  • University of Victoria (CA)
  • Centro de Estudios de Física del Cosmos de Aragón (ES)
  • Joint Space Science Institute (US)
  • Heidelberg University (DE)
  • Durham University (GB)
  • Max Planck Society (DE)
Corresponding author
Ludlow, Aaron D.
Venue
Monthly Notices of the Royal Astronomical Society
Published
2014-04-25
Volume
441
Issue
1
Pages
378-388
ISSN
  • 0035-8711 (ISSN-L)
  • 1365-2966
OpenAlex
W2017904678
Cited by
283
References
53
Citations by year
2026: 14 · 2025: 16 · 2024: 23 · 2023: 19 · 2022: 16 · 2021: 36 · 2020: 27 · 2019: 28 · 2018: 27 · 2017: 15 · 2016: 21 · 2015: 32 · 2014: 9
FWCI
13.54
Type
journal article
Language
en
Open access
Locations
  • Monthly Notices of the Royal Astronomical Society (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • Max Planck Digital Library (submittedVersion)
  • MPG.PuRe (Max Planck Society) (submittedVersion, cc-by)
  • arXiv (Cornell University)
Funders
Science and Technology Facilities Council (ST/I00162X/1, ST/F002300/1, ST/F002289/1, ST/I001166/1, ST/H008519/1)
Topics
  • Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Galaxies: Formation, Evolution, Phenomena
  • Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Cosmology and Gravitation Theories
  • Physical Sciences › Physics and Astronomy › Nuclear and High Energy Physics › Dark Matter and Cosmic Phenomena
Keywords
concentration-mass relation, cold dark matter haloes, halo concentration, redshift dependence, halo assembly history, mass accretion history, Millennium Simulation, dark matter substructure

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 ›

Are you an author, or do you see a problem with this page? Request a review