2009
DOI: 10.1088/0004-637x/707/1/354
|View full text |Cite
|
Sign up to set email alerts
|

Accurate Universal Models for the Mass Accretion Histories and Concentrations of Dark Matter Halos

Abstract: A large amount of observations have constrained cosmological parameters and the initial density fluctuation spectrum to a very high accuracy. However, cosmological parameters change with time and the power index of the power spectrum dramatically varies with mass scale in the so-called concordance ΛCDM cosmology. Thus, any successful model for its structural evolution should work well simultaneously for various cosmological models and different power spectra. We use a large set of high-resolution N-body simula… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

43
682
7

Year Published

2012
2012
2022
2022

Publication Types

Select...
6
2

Relationship

1
7

Authors

Journals

citations
Cited by 494 publications
(732 citation statements)
references
References 30 publications
43
682
7
Order By: Relevance
“…In Fig. 7 we show that this is indeed the case: the average collapse redshift measured in CDM simulations (solid grey stars, obtained from Jiang & van den Bosch (2014), based on simulations from Zhao et al 2009) is about a factor of 1.5 larger than the one predicted by our simplified model. It is, however, interesting to realise that the slope of the CDM zc-mass relation described by Eq.…”
Section: Halo Collapse Redshiftmentioning
confidence: 65%
“…In Fig. 7 we show that this is indeed the case: the average collapse redshift measured in CDM simulations (solid grey stars, obtained from Jiang & van den Bosch (2014), based on simulations from Zhao et al 2009) is about a factor of 1.5 larger than the one predicted by our simplified model. It is, however, interesting to realise that the slope of the CDM zc-mass relation described by Eq.…”
Section: Halo Collapse Redshiftmentioning
confidence: 65%
“…with the concentration, c180 = r180/rs, given by the model of Zhao et al (2009). Finally, we calculate PM (R, ∆z) for each of all the galaxy-group pairs.…”
Section: The Basic Algorithmmentioning
confidence: 99%
“…We do so because, even if the M-XXL simulation has been run with a different set of cosmological parameters, we assume to be able to rescale those clusters at z = 1 from a M-XXL cosmology to a sample at z = 0.5 in a Planck13 cosmology. This is supported by the fact that the halo properties at z = 1 in the M-XXL cosmology are very similar to those at z = 0.5 in a Planck13 cosmology (Sheth & Tormen 1999;Macciò et al 2008;Zhao et al 2009;Giocoli et al 2012b;Despali et al 2015); even if the two mass functions for haloes more massive than 3 × 10 14 M /h may be different by more than 50%, the two concentration-mass relations deviate by less than 5%.…”
Section: Strong Lensing Of Clusters In the Millennium-xxl Simulationmentioning
confidence: 80%
“…In modelling the subhalo density profiles we account for tidal stripping due to close interactions with the main halo smooth component and to close encounters with other clumps, gravitational heating, and dynamical friction (Hayashi et al 2003;van den Bosch et al 2005;Choi et al 2007;Giocoli et al 2008) using a truncated singular isothermal sphere (Metcalf & Madau 2001). For the halo concentration-mass relation we use the Zhao et al (2009) model which links the concentration of a given halo with the time (t0.04) at which its main progenitor assembles 4 percent of its mass -each halo mass accretion history is computed using the results by Giocoli et al (2012b). Haloes may also be populated by galaxies according to a HOD approach (Wang et al 2006) and once settled the central galaxy, with a given stellar mass profile, the surrounding dark matter distribution can adiabatically contract (Blumenthal et al 1986;Keeton 2001;Gnedin et al 2011).…”
Section: Strong Lensing Models Of Clusters Using the Moka Codementioning
confidence: 99%
See 1 more Smart Citation