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相关论文: The Clustering of Massive Halos

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The fact that the clustering of dark matter halos depends not only on their mass, but also the formation epoch, is a prominent, albeit subtle, feature of the cold dark matter structure formation theory, and is known as assembly bias. At low…

In this paper, we analyse in detail the mass-accretion histories and structural properties of dark haloes in high-resolution N-body simulations. Modeling the density distribution in individual haloes with the NFW profile, we find, for all…

天体物理学 · 物理学 2009-11-07 Donghai Zhao , Houjun Mo , Yipeng Jing , Gerhard Boerner

The clustering of dark halos depends not only on their mass but also on their assembly history, a dependence we term `assembly bias'. Using a galaxy formation model grafted onto the Millennium Simulation of the LCDM cosmogony, we study how…

天体物理学 · 物理学 2009-09-29 Darren J. Croton , Liang Gao , Simon D. M. White

We have identified over 2000 well resolved cluster halos, and also their associated bound subhalos, from the output of a 1024^3 particle cosmological N-body simulation (of box size 320 h^-1 Mpc and softening length 3.2 h^-1 kpc). This has…

天体物理学 · 物理学 2010-11-11 L. D. Shaw , J. Weller , J. P. Ostriker , P. Bode

We examine the age-dependence of dark matter halo clustering in an unprecedented accuracy using a set of 7 high-resolution cosmological simulations each with $N=1024^3$ particles. We measure the bias parameters for halos over a large mass…

天体物理学 · 物理学 2008-11-26 Y. P. Jing , Yasushi Suto , H. J. Mo

Based on the Millennium Simulation we examine assembly bias for the halo properties: shape, triaxiality, concentration, spin, shape of the velocity ellipsoid and velocity anisotropy. For consistency we determine all these properties using…

宇宙学与河外天体物理 · 物理学 2014-11-20 Andreas Faltenbacher , Simon D. M. White

Halo assembly bias is the secondary dependence of the clustering of dark-matter haloes on their assembly histories at fixed halo mass. This established dependence is expected to manifest itself on the clustering of the galaxy population, a…

星系天体物理 · 物理学 2021-09-22 Antonio D. Montero-Dorta , Jonás Chaves-Montero , M. Celeste Artale , Ginevra Favole

Dark-matter halos show a universal density profile with a scaling such that less massive systems are typically denser. This mass-density relation is well described by a proportionality between the characteristic density of halos and the…

天体物理学 · 物理学 2009-10-31 A. Raig , G. Gonzalez-Casado , E. Salvador-Sole

We have used a combination of high resolution cosmological N-body simulations and semi-analytic modelling of galaxy formation to investigate the processes that determine the spatial distribution of galaxies in cold dark matter (CDM) models.…

天体物理学 · 物理学 2008-11-26 A. J. Benson , S. Cole , C. S. Frenk , C. M. Baugh , C. G. Lacey

We analyze the clustering of photometrically selected galaxy pairs by using the halo-occupation distribution (HOD) model. We measure the angular two-point auto-correlation function, $\omega(\theta)$, for galaxies and galaxy pairs in three…

星系天体物理 · 物理学 2015-06-22 Yiran Wang , R. J. Brunner

We use large N-body simulations of dissipationless gravitational clustering in cold dark matter (CDM) cosmologies to study whether the properties of dark matter halos are affected by their environment. We look for correlations between the…

天体物理学 · 物理学 2009-09-25 Gerard Lemson , Guinevere Kauffmann

High-resolution simulations of cosmological structure formation indicate that dark matter substructure in dense environments, like groups and clusters, may survive for a long time. These dark matter subhalos are the likely hosts of…

天体物理学 · 物理学 2009-11-13 Andrew R. Wetzel , J. D. Cohn , Martin White

We study the growth of dark matter halos in the concordance LCDM cosmology using several N-body simulations of large cosmological volumes. We build merger trees from the Millennium and Millennium-II simulations, covering a range 10^9-10^15…

宇宙学与河外天体物理 · 物理学 2010-07-21 Shy Genel , Nicolas Bouché , Thorsten Naab , Amiel Sternberg , Reinhard Genzel

The formation of galaxy clusters in hierarchically clustering universes is investigated by means of high resolution N-body simulations. The simulations are performed using a newly developed multi-mass scheme which combines a PM code with a…

天体物理学 · 物理学 2007-05-23 A. Huss , B. Jain , M. Steinmetz

We investigate the clustering of galaxy groups and clusters in the SDSS using the Berlind et al. (2006) group sample, which is designed to identify galaxy systems that each occupy a single dark matter halo. We estimate group masses from…

The concentration parameter is a key characteristic of a dark matter halo that conveniently connects the halo's present-day structure with its assembly history. Using 'Dark Sky', a suite of cosmological $N$-body simulations, we investigate…

(abridged) We study the relation between the density profiles of dark matter halos and their mass assembly histories, using a statistical sample of halos in a high-resolution N-body simulation of the LCDM cosmology. For each halo at z=0, we…

天体物理学 · 物理学 2009-11-07 Risa H. Wechsler , James S. Bullock , Joel R. Primack , Andrey V. Kravtsov , Avishai Dekel

The predicted mass function of dark matter halos is essential in connecting observed galaxy cluster counts and models of galaxy clustering to the properties of the primordial density field. We determine the mass function in the concordance…

天体物理学 · 物理学 2011-02-11 Michael S. Warren , Kevork Abazajian , Daniel E. Holz , Luis Teodoro

We use a very large simulation of structure growth in a LCDM universe -- the Millennium Simulation -- to study assembly bias, the fact that the large-scale clustering of haloes of given mass varies significantly with their assembly history.…

天体物理学 · 物理学 2009-09-28 Liang Gao , Simon D. M. White

All galaxies are thought to reside within large halos of dark matter, whose properties can only be determined from indirect observations. The formation and assembly of galaxies is determined from the interplay between these dark matter…

天体物理学 · 物理学 2011-02-11 Lee R. Spitler , Duncan A. Forbes