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相关论文: Peaks theory and the excursion set approach

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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

We study the effects of primordial non-Gaussianity on the large scale structure in the excursion set approach, accounting for correlations between steps of the random walks in the smoothed initial density field. These correlations are…

宇宙学与河外天体物理 · 物理学 2012-02-23 Marcello Musso , Aseem Paranjape

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

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

Relying on the excursion set theory, we compute the number density of local extrema and crossing statistics versus the threshold for the stock market indices. Comparing the number density of excursion sets calculated numerically with the…

统计金融 · 定量金融 2022-07-08 M. Shadmangohar , S. M. S. Movahed

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 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

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 examine the age-dependence of dark matter halo clustering in an unprecedented accuracy using a set of 7 high-resolution cosmological simulations each with $N=1024^3$ particles. We measure the bias parameters for halos over a large mass…

天体物理学 · 物理学 2008-11-26 Y. P. Jing , Yasushi Suto , H. J. Mo

We give an analytical form for the weighted correlation function of peaks in a Gaussian random field. In a cosmological context, this approach strictly describes the formation bias and is the main result here. Nevertheless, we show its…

宇宙学与河外天体物理 · 物理学 2022-01-24 Licia Verde , Raul Jimenez , Fergus Simpson , Luis Alvarez-Gaume , Alan Heavens , Sabino Matarrese

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

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

Recently, we provided a simple but accurate formula which closely approximates the first crossing distribution associated with random walks having correlated steps. The approximation is accurate for the wide range of barrier shapes of…

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

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 use the halo model formalism to provide expressions for cluster abundances and bias, as well as estimates for the correlation matrix between these observables. Off-diagonal elements due to scatter in the mass tracer scaling with mass are…

天体物理学 · 物理学 2011-05-12 Eduardo Rozo , Scott Dodelson , Joshua A. Frieman

Halos are biased tracers of the dark matter distribution. It is often assumed that the patches from which halos formed are locally biased with respect to the initial fluctuation field, meaning that the halo-patch fluctuation field can be…

宇宙学与河外天体物理 · 物理学 2013-04-08 Ravi K. Sheth , Kwan Chuen Chan , Roman Scoccimarro

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

The statistics of peaks in weak lensing convergence maps is a promising tool to investigate both the properties of dark matter haloes and constrain the cosmological parameters. We study how the number of detectable peaks and its scaling…

宇宙学与河外天体物理 · 物理学 2015-06-22 V. F. Cardone , S. Camera , M. Sereno , G. Covone , R. Maoli , R. Scaramella

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 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