Environmental dependence of cold dark matter halo formation

被引:97
作者
Wang, H. Y. [1 ]
Mo, H. J.
Jing, Y. P.
机构
[1] Univ Sci & Technol China, Ctr Astrophys, Hefei 230026, Anhui, Peoples R China
[2] Univ Massachusetts, Dept Astron, Amherst, MA 01003 USA
[3] Shanghai Astron Observ, Partner Grp MPA, Shanghai 200030, Peoples R China
基金
美国国家科学基金会;
关键词
methods : statistical; galaxies : haloes; dark matter; large-scale structure of Universe;
D O I
10.1111/j.1365-2966.2006.11316.x
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
We use a high-resolution N-body simulation to study how the formation of cold dark matter haloes is affected by their environments, and how such environmental effects produce the age dependence of halo clustering observed in recent N-body simulations. We estimate, for each halo selected at redshift z = 0, an 'initial' mass M-i defined to be the mass enclosed by the largest sphere which contains the initial barycentre of the halo particles and within which the mean linear density is equal to the critical value for spherical collapse at z = 0. For haloes of a given final mass, M-h, the ratio M-i/M-h has large scatter, and the scatter is larger for haloes of lower final masses. Haloes that form earlier on average have larger M-i/M-h, and so correspond to higher peaks in the initial density field than their final masses imply. Old haloes are more strongly clustered than younger ones of the same mass because their initial masses are larger. The age dependence of clustering for low-mass haloes is entirely due to the difference in the initial/final mass ratio. Low-mass old haloes are almost always located in the vicinity of big structures, and their old ages are largely due to the fact that their mass accretions are suppressed by the hot environments produced by the tidal fields of the larger structure. The age dependence of clustering is weaker for more massive haloes because the heating by large-scale tidal fields is less important.
引用
收藏
页码:633 / 639
页数:7
相关论文
共 31 条
[1]   THE STATISTICS OF PEAKS OF GAUSSIAN RANDOM-FIELDS [J].
BARDEEN, JM ;
BOND, JR ;
KAISER, N ;
SZALAY, AS .
ASTROPHYSICAL JOURNAL, 1986, 304 (01) :15-61
[2]   EXCURSION SET MASS FUNCTIONS FOR HIERARCHICAL GAUSSIAN FLUCTUATIONS [J].
BOND, JR ;
COLE, S ;
EFSTATHIOU, G ;
KAISER, N .
ASTROPHYSICAL JOURNAL, 1991, 379 (02) :440-460
[3]   THE EVOLUTION OF LARGE-SCALE STRUCTURE IN A UNIVERSE DOMINATED BY COLD DARK MATTER [J].
DAVIS, M ;
EFSTATHIOU, G ;
FRENK, CS ;
WHITE, SDM .
ASTROPHYSICAL JOURNAL, 1985, 292 (02) :371-394
[4]   The age dependence of halo clustering [J].
Gao, Liang ;
Springel, Volker ;
White, Simon D. M. .
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2005, 363 (01) :L66-L70
[5]   A marked correlation function analysis of halo formation times in the Millennium Simulation [J].
Harker, G ;
Cole, S ;
Helly, J ;
Frenk, C ;
Jenkins, A .
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2006, 367 (03) :1039-1049
[6]   The density profile of equilibrium and nonequilibrium dark matter halos [J].
Jing, YP .
ASTROPHYSICAL JOURNAL, 2000, 535 (01) :30-36
[7]   Spatial correlation function and pairwise velocity dispersion of galaxies: Cold dark matter models versus the Las Campanas Survey [J].
Jing, YP ;
Jing, HJ ;
Mo, HJ ;
Borner, G .
ASTROPHYSICAL JOURNAL, 1998, 494 (01) :1-12
[8]   Triaxial modeling of halo density profiles with high-resolution N-body simulations [J].
Jing, YP ;
Suto, Y .
ASTROPHYSICAL JOURNAL, 2002, 574 (02) :538-553
[9]   Accurate fitting formula for the two-point correlation function of dark matter halos [J].
Jing, YP .
ASTROPHYSICAL JOURNAL, 1998, 503 (01) :L9-L13
[10]   Galaxies in N-body simulations:: Overcoming the overmerging problem [J].
Klypin, A ;
Gottlöber, S ;
Kravtsov, AV ;
Khokhlov, AM .
ASTROPHYSICAL JOURNAL, 1999, 516 (02) :530-551