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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

Constrained realisations of Gaussian random fields are used in cosmology to design special initial conditions for numerical simulations. We review this approach and its application to density peaks providing several worked-out examples. We…

宇宙学与河外天体物理 · 物理学 2016-09-06 Cristiano Porciani

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 Press-Schechter (PS) and excursion set (ES) models of structure formation fail in reproducing the halo bias found in simulations, while the excursion set-peaks (ESP) formalism built in the peak model reproduces it only at high masses…

宇宙学与河外天体物理 · 物理学 2024-10-07 Eduard Salvador-Solé , Alberto Manrique

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

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

The excursion set approach uses the statistics of the density field smoothed on a wide range of scales, to gain insight into a number of interesting processes in nonlinear structure formation, such as cluster assembly, merging and…

宇宙学与河外天体物理 · 物理学 2014-10-13 Marcello Musso , Ravi K. Sheth

We present a new algorithm to sample the constrained eigenvalues of the initial shear field associated with Gaussian statistics, called the `peak/dip excursion-set-based' algorithm, at positions which correspond to peaks or dips of the…

宇宙学与河外天体物理 · 物理学 2015-06-15 Graziano Rossi

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 study structure formation in the presence of primordial non-Gaussianity of the local type with parameters f_NL and g_NL. We show that the distribution of dark-matter halos is naturally described by a multivariate bias scheme where the…

宇宙学与河外天体物理 · 物理学 2010-04-14 Tommaso Giannantonio , Cristiano Porciani

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

We consider the problem of the first passage time to the origin of a spatially non-homogeneous random walk with a position-dependent drift, known as the Gillis random walk, in the presence of resetting. The walk starts from an initial site…

概率论 · 数学 2022-12-09 Mattia Radice

Random walks with a general, nonlinear barrier have found recent applications ranging from reionization topology to refinements in the excursion set theory of halos. Here, we derive the first-crossing distribution of random walks with a…

天体物理学 · 物理学 2009-11-13 Jun Zhang , Lam Hui

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 develop a novel approach in exploring the joint dependence of halo bias on multiple halo properties using Gaussian process regression. Using a $\Lambda$CDM $N$-body simulation, we carry out a comprehensive study of the joint bias…

宇宙学与河外天体物理 · 物理学 2018-10-31 Jiaxin Han , Yin Li , Yipeng Jing , Takahiro Nishimichi , Wenting Wang , Chunyan Jiang

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

Corrections induced by primordial non-Gaussianity to the linear halo bias can be computed from a peak-background split or the widespread local bias model. However, numerical simulations clearly support the prediction of the former, in which…

宇宙学与河外天体物理 · 物理学 2015-06-12 Vincent Desjacques , Jinn-Ouk Gong , Antonio Riotto

The excursion set approach is a framework for estimating how the number density of nonlinear structures in the cosmic web depends on the expansion history of the universe and the nature of gravity. A key part of the approach is the…

宇宙学与河外天体物理 · 物理学 2018-12-31 Farnik Nikakhtar , Mohammadreza Ayromlou , Shant Baghram , Sohrab Rahvar , M. Reza Rahimi Tabar , Ravi K. Sheth

We show how the excursion set moving barrier model for halo abundances may be generalized to the local non-Gaussian f_{nl} model. Our estimate assumes that the distribution of step sizes depends on f_{nl}, but that they are otherwise…

宇宙学与河外天体物理 · 物理学 2015-05-13 Tsz Yan Lam , Ravi K. Sheth

Primordial non-Gaussianity (NG) affects the large scale structure (LSS) of the universe by leaving an imprint on the distribution of matter at late times. Much attention has been focused on using the distribution of collapsed objects (i.e.…

宇宙学与河外天体物理 · 物理学 2011-02-25 Guido D'Amico , Marcello Musso , Jorge Noreña , Aseem Paranjape