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相关论文: The Halo Mass Function from Excursion Set Theory. …

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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

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

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

In excursion set theory the computation of the halo mass function is mapped into a first-passage time process in the presence of a barrier, which in the spherical collapse model is a constant and in the ellipsoidal collapse model is a fixed…

宇宙学与河外天体物理 · 物理学 2014-11-18 Michele Maggiore , Antonio Riotto

We compute the dark matter halo mass function using the excursion set formalism for a diffusive barrier with linearly drifting average which captures the main features of the ellipsoidal collapse model. We evaluate the non-Markovian…

宇宙学与河外天体物理 · 物理学 2011-08-22 P. S. Corasaniti , I. Achitouv

We use the Excursion Set formalism to compute the properties of the halo mass distribution for a stochastic barrier model which encapsulates the main features of the ellipsoidal collapse of dark matter halos. Non-markovian corrections due…

宇宙学与河外天体物理 · 物理学 2011-07-29 P. S. Corasaniti , I. Achitouv

We compute the effect of primordial non-Gaussianity on the halo mass function, using excursion set theory. In the presence of non-Gaussianity the stochastic evolution of the smoothed density field, as a function of the smoothing scale, is…

宇宙学与河外天体物理 · 物理学 2014-11-18 Michele Maggiore , Antonio Riotto

The excursion set model provides a convenient theoretical framework to derive dark matter halo abundances. This paper generalizes the model by introducing a more realistic merging and collapse process. A new parameter regulates the…

天体物理学 · 物理学 2009-11-10 Grigori Amosov , Peter Schuecker

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 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

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

In this article we compare the halo mass function predicted by the excursion set theory with a drifting diffusive barrier against the results of N-body simulations for several cosmological models. This includes the standard LCDM case for a…

宇宙学与河外天体物理 · 物理学 2015-06-18 I. Achitouv , C. Wagner , J. Weller , Y. Rasera

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

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

A sizeable level of non-Gaussianity in the primordial cosmological perturbations may be induced by a large trispectrum, i.e. by a large connected four-point correlation function. We compute the effect of a primordial non-Gaussian…

宇宙学与河外天体物理 · 物理学 2015-05-14 Michele Maggiore , Antonio Riotto

The abundance of collapsed objects in the universe, or halo mass function, is an important theoretical tool in studying the effects of primordially generated non-Gaussianities on the large scale structure. The non-Gaussian mass function has…

宇宙学与河外天体物理 · 物理学 2015-03-17 Guido D'Amico , Marcello Musso , Jorge Noreña , Aseem Paranjape

The excursion set approach provides a framework for predicting how the abundance of dark matter halos depends on the initial conditions. A key ingredient of this formalism comes from the physics of halo formation: the specification of a…

宇宙学与河外天体物理 · 物理学 2014-11-12 I. Achitouv , Y. Rasera , R. K. Sheth , P. S. Corasaniti

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

In terms of the excursion set model, we used Monte Carlo methods in order to study the non-Markovian stochastic evolution of the smoothed overdensity $\delta$ at scale $S$. For a Gaussian density field, smoothed by the top-hat filter, in…

宇宙学与河外天体物理 · 物理学 2022-06-23 Nicos Hiotelis

We estimate the halo mass function (HMF) by applying the excursion set approach to the non-linear cosmic density field. Thereby, we account for the non-Gaussianity of today's density distribution and constrain the HMF independent of the…

宇宙学与河外天体物理 · 物理学 2020-02-25 Laila Linke , Johannes Schwinn , Matthias Bartelmann
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