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相关论文: Self-consistency of the Excursion Set Approach

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We derive approximated, yet very accurate analytical expressions for the abundance and clustering properties of dark matter halos in the excursion set peak framework; the latter relies on the standard excursion set approach, but also…

宇宙学与河外天体物理 · 物理学 2015-06-22 A. Lapi , L. Danese

We describe how to extend the excursion set peaks framework so that its predictions of dark halo abundances and clustering can be compared directly with simulations. These extensions include: a halo mass definition which uses the TopHat…

宇宙学与河外天体物理 · 物理学 2015-06-11 Aseem Paranjape , Ravi K. Sheth , Vincent Desjacques

The excursion set theory, where density perturbations evolve stochastically with the smoothing scale, provides a method for computing the dark matter halo mass function. The computation of the mass function is mapped into the so-called…

宇宙学与河外天体物理 · 物理学 2012-01-05 Andrea De Simone , Michele Maggiore , Antonio Riotto

Recent analytical work on the modelling of dark halo abundances and clustering has demonstrated the advantages of combining the excursion set approach with peaks theory. We extend these ideas and introduce a model of excursion set peaks…

宇宙学与河外天体物理 · 物理学 2016-11-14 Emanuele Castorina , Aseem Paranjape , Oliver Hahn , Ravi K. Sheth

We exploit the excursion set approach in integral formulation to derive novel, accurate analytic approximations of the unconditional and conditional first crossing distributions, for random walks with uncorrelated steps and general shapes…

宇宙学与河外天体物理 · 物理学 2015-06-16 A. Lapi , P. Salucci , L. Danese

The simplest stochastic halo formation models assume that the traceless part of the shear field acts to increase the initial overdensity (or decrease the underdensity) that a protohalo (or protovoid) must have if it is to form by the…

宇宙学与河外天体物理 · 物理学 2014-07-09 Marcello Musso , Ravi K. Sheth

In the standard excursion set model for the growth of structure, the statistical properties of halos are governed by the halo mass and are independent of the larger scale environment in which the halos reside. Numerical simulations,…

宇宙学与河外天体物理 · 物理学 2015-06-18 Jun Zhang , Chung-Pei Ma , Antonio Riotto

A classic method for computing the mass function of dark matter halos is provided by excursion set theory, where density perturbations evolve stochastically with the smoothing scale, and the problem of computing the probability of halo…

宇宙学与河外天体物理 · 物理学 2011-02-11 Michele Maggiore , Antonio Riotto

Excursion set theory is a powerful and widely used tool for describing the distribution of dark matter haloes, but it is normally applied with simplifying approximations. We use numerical sampling methods to study the mass functions…

宇宙学与河外天体物理 · 物理学 2024-01-29 M. Sten Delos

I review the excursion set theory (EST) of dark matter halo formation and clustering. I recount the Press-Schechter argument for the mass function of bound objects and review the derivation of the Press-Schechter mass function in EST. The…

天体物理学 · 物理学 2008-11-26 Andrew R. Zentner

In the Excursion Set approach, halo abundances and clustering are closely related. This relation is exploited in many modern methods which seek to constrain cosmological parameters on the basis of the observed spatial distribution of…

宇宙学与河外天体物理 · 物理学 2012-02-23 Aseem Paranjape , Ravi K. Sheth

The $\Lambda$CDM model predicts structure formation across a vast mass range, from massive clusters ($\sim10^{15}\,\text{M}_\odot$) to Earth-mass micro-haloes ($\sim 10^{-6} \, \text{M}_\odot$), resolving which far exceeds the capabilities…

宇宙学与河外天体物理 · 物理学 2025-08-28 A. M. Wisłocka , J. Stücker , O. Hahn , R. E. Angulo

The Excursion Set approach has been used to make predictions for a number of interesting quantities in studies of nonlinear hierarchical clustering. These include the halo mass function, halo merger rates, halo formation times and masses,…

宇宙学与河外天体物理 · 物理学 2012-02-23 Aseem Paranjape , Tsz Yan Lam , Ravi K. Sheth

Excursion set theory, where density perturbations evolve stochastically with the smoothing scale, provides a method for computing the mass function of cosmological structures like dark matter halos, sheets and filaments. The computation of…

宇宙学与河外天体物理 · 物理学 2011-07-28 Andrea De Simone , Michele Maggiore , Antonio Riotto

We investigate the problem of predicting the halo mass function from the properties of the Lagrangian density field. We focus on a perturbation spectrum with a small-scale cut-off (as in warm dark matter cosmologies). This cut-off results…

宇宙学与河外天体物理 · 物理学 2015-06-16 Oliver Hahn , Aseem Paranjape

We describe a simple fully analytic model of the excursion set approach associated with two Gaussian random walks: the first walk represents the initial overdensity around a protohalo, and the second is a crude way of allowing for other…

宇宙学与河外天体物理 · 物理学 2015-06-12 Emanuele Castorina , Ravi K. Sheth

The excursion set approach allows one to estimate the abundance and spatial distribution of virialized dark matter haloes efficiently and accurately. The predictions of this approach depend on how the nonlinear processes of collapse and…

天体物理学 · 物理学 2009-11-06 Ravi K. Sheth , Giuseppe Tormen

We describe a model of dark matter halo abundances and clustering which combines the two most widely used approaches to this problem: that based on peaks and the other based on excursion sets. Our approach can be thought of as addressing…

宇宙学与河外天体物理 · 物理学 2015-06-05 Aseem Paranjape , Ravi K. Sheth

We provide a simple formula that accurately approximates the first crossing distribution of barriers having a wide variety of shapes, by random walks with a wide range of correlations between steps. Special cases of it are useful for…

宇宙学与河外天体物理 · 物理学 2013-01-25 Marcello Musso , Ravi K. Sheth

The excursion set theory based on spherical or ellipsoidal gravitational collapse provides an elegant analytic framework for calculating the mass function and the large-scale bias of dark matter haloes. This theory assumes that the…

宇宙学与河外天体物理 · 物理学 2015-05-19 Chung-Pei Ma , Michele Maggiore , Antonio Riotto , Jun Zhang
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