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相关论文: Genus statistics for galaxy clusters and nonlinear…

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We present a numerical analysis of genus statistics for dark matter halo catalogs from the Hubble volume simulation. The huge box-size of the Hubble volume simulation enables us to carry out a reliable statistical analysis of the biasing…

天体物理学 · 物理学 2015-06-24 Chiaki Hikage , Atsushi Taruya , Yasushi Suto

We develop the halo model of large-scale structure as an accurate tool for probing primordial non-Gaussianity. In this study we focus on understanding the matter clustering at several redshifts. The primordial non-Gaussianity is modeled as…

宇宙学与河外天体物理 · 物理学 2011-08-09 Robert E. Smith , Vincent Desjacques , Laura Marian

We use N-body simulations to test the predictions of the redshift distortion in the power spectrum given by the halo model in which the clustering of dark matter particles is considered as a result both of the clustering of dark halos in…

天体物理学 · 物理学 2009-11-07 Xi. Kang , Y. P. Jing , H. J. Mo , G. Borner

We review the formalism and applications of the halo-based description of nonlinear gravitational clustering. In this approach, all mass is associated with virialized dark matter halos; models of the number and spatial distribution of the…

天体物理学 · 物理学 2011-07-19 Asantha Cooray , Ravi Sheth

It has long been known how to analytically relate the clustering properties of the collapsed structures (halos) to those of the underlying dark matter distribution for Gaussian initial conditions. Here we apply the same approach to…

天体物理学 · 物理学 2010-11-11 Sabino Matarrese , Licia Verde

Measuring the distribution of mass on galaxy cluster scales is a crucial test of the Lambda CDM model, providing constraints on the nature of dark matter. Recent work investigating mass distributions of individual galaxy clusters using…

天体物理学 · 物理学 2009-11-11 V. Corless , L. King

We develop a simple analytic model for the gravitational clustering of dark matter haloes to understand how their spatial distribution is biased relative to that of the mass. The statistical distribution of dark haloes within the initial…

天体物理学 · 物理学 2015-06-24 H. J. Mo , S. D. M. White

The statistics of peaks of the initial, Gaussian density field can be used to interpret the abundance and clustering of massive dark matter haloes. I discuss some recent theoretical results related to their clustering and its redshift…

宇宙学与河外天体物理 · 物理学 2010-05-10 Vincent desjacques

This paper presents a stochastic approach to the clustering evolution of dark matter haloes in the Universe. Haloes, identified by a Press-Schechter-type algorithm in Lagrangian space, are described in terms of `counting fields', acting as…

天体物理学 · 物理学 2009-10-30 P. Catelan , F. Lucchin , S. Matarrese , C. Porciani

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

We address the issue of the cosmological bias between matter and galaxy distributions, looking at dark-matter haloes as a first step to characterize galaxy clustering. Starting from the linear density field at high redshift, we follow the…

宇宙学与河外天体物理 · 物理学 2015-05-20 Anna Elia , Suchita Kulkarni , Cristiano Porciani , Massimo Pietroni , Sabino Matarrese

The strong dependence of the large-scale dark matter halo bias on the (local) non-Gaussianity parameter, f_NL, offers a promising avenue towards constraining primordial non-Gaussianity with large-scale structure surveys. In this paper, we…

宇宙学与河外天体物理 · 物理学 2010-12-14 Beth A. Reid , Licia Verde , Klaus Dolag , Sabino Matarrese , Lauro Moscardini

We propose a heuristic model that displays the main features of realistic theories for galaxy bias. We show that the low-order clustering statistics of the dark-matter distribution depend almost entirely on the locations and density…

天体物理学 · 物理学 2011-05-05 J. A. Peacock , R. E. Smith

Using dark matter simulations we show how halo bias is determined by local density and not by halo mass. This is not totally surprising, as according to the peak-background split model, local density is the property that constraints bias at…

宇宙学与河外天体物理 · 物理学 2017-02-08 Arnau Pujol , Kai Hoffmann , Noelia Jiménez , Enrique Gaztañaga

It has recently been proposed that the large-scale bias of dark matter halos depends sensitively on primordial non-Gaussianity of the local form. In this paper we point out that the strong scale dependence of the non-Gaussian halo bias…

宇宙学与河外天体物理 · 物理学 2014-11-20 Carlos Cunha , Dragan Huterer , Olivier Dore

We build a simple analytical model for the bias of dark matter halos that applies to objects defined by an arbitrary density threshold, $200\leq\deltas\leq 1600$, and that provides accurate predictions from low-mass to high-mass halos. We…

宇宙学与河外天体物理 · 物理学 2015-05-19 Patrick Valageas

We use semi-analytic models of galaxy formation combined with high resolution N-body simulations to make predictions for galaxy-dark matter correlations and apply them to galaxy-galaxy lensing. We analyze cross-correlation spectra between…

天体物理学 · 物理学 2009-10-31 Jacek Guzik , Uros Seljak

We investigate the influence of the external tidal field of a dark matter halo on the dynamical evolution of star clusters using direct N-body simulations, where we assume that the halo is described by a Navarro, Frenk & White mass profile…

星系天体物理 · 物理学 2009-09-28 A. K. Praagman , J. R. Hurley , C. Power

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- to ultrahigh-redshift clustering of halos provides a powerful tool to understand cosmology and galaxy formation. However, theoretical predictions are not firmly established in the first billion years, where current and upcoming…

宇宙学与河外天体物理 · 物理学 2026-04-17 Kuan Wang , Julian B. Muñoz , L. Y. Aaron Yung
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