Bibcode
Prada, Francisco; Klypin, Anatoly A.; Cuesta, Antonio J.; Betancort-Rijo, J. E.; Primack, Joel
Bibliographical reference
Monthly Notices of the Royal Astronomical Society, Volume 423, Issue 4, pp. 3018-3030.
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7
2012
Citations
630
Refereed citations
579
Description
We study the concentration of dark matter haloes and its evolution in
N-body simulations of the standard Λ cold dark matter
(ΛCDM) cosmology. The results presented in this paper are based
on four large N-body simulations with ˜10 billion particles each:
the Millennium-I and -II, Bolshoi and MultiDark simulations. The
MultiDark (or BigBolshoi) simulation is introduced in this paper. This
suite of simulations with high mass resolution over a large volume
allows us to compute with unprecedented accuracy the concentration over
a large range of scales (about six orders of magnitude in mass), which
constitutes the state of the art of our current knowledge on this basic
property of dark matter haloes in the ΛCDM cosmology. We find
that there is consistency among the different simulation data sets,
despite the different codes, numerical algorithms and halo/subhalo
finders used in our analysis. We confirm a novel feature for halo
concentrations at high redshifts: a flattening and upturn with
increasing mass. The concentration c(M, z) as a function of mass and the
redshift and for different cosmological parameters shows a remarkably
complex pattern. However, when expressed in terms of the linear rms
fluctuation of the density field σ(M, z), the halo concentration
c(σ) shows a nearly universal simple U-shaped behaviour with a
minimum at a well-defined scale at σ˜ 0.71. Yet, some small
dependences with redshift and cosmology still remain. At the high-mass
end (σ < 1), the median halo kinematic profiles show large
signatures of infall and highly radial orbits. This c-σ(M, z)
relation can be accurately parametrized and provides an analytical model
for the dependence of concentration on halo mass. When applied to galaxy
clusters, our estimates of concentrations are substantially larger - by
a factor up to 1.5 - than previous results from smaller simulations, and
are in much better agreement with results of observations.
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