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

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In attempts to explain dark energy, a number of models have been proposed in which the formation of large-scale structure depends on the local environment. These models are highly non-linear and difficult to analyse analytically. N-body…

宇宙学与河外天体物理 · 物理学 2012-07-04 Baojiu Li , George Efstathiou

The halo occupation distribution (HOD) framework is an empirical method to describe the connection between dark matter halos and galaxies, which is constrained by small scale clustering data. Efficient fitting procedures are required to…

宇宙学与河外天体物理 · 物理学 2023-05-24 Antoine Rocher , Vanina Ruhlmann-Kleider , Etienne Burtin , Arnaud de Mattia

Every halo finding algorithm must make a critical yet relatively arbitrary choice: it must decide which structures are parent halos, and which structures are sub-halos of larger halos. We refer to this choice as ${\it percolation}$. We…

宇宙学与河外天体物理 · 物理学 2019-09-25 Rafael Garcia , Eduardo Rozo

We investigate the clustering of Primordial Black Holes (PBHs) within the framework of Excursion Set Theory (EST). The EST formalism is extended to compute the joint probability of forming PBH pairs within a clustering distance, based on…

宇宙学与河外天体物理 · 物理学 2025-08-05 Hamed Kameli , Encieh Erfani

A generic prediction of hierarchical gravitational clustering models is that the distribution of halo formation times should depend relatively strongly on halo mass, massive haloes forming more recently, and depend only weakly, if at all,…

天体物理学 · 物理学 2009-11-10 Ravi K. Sheth , Giuseppe Tormen

The excursion set of a $C^2$ smooth random field carries relevant information in its various geometric measures. From a computational viewpoint, one never has access to the continuous observation of the excursion set, but rather to…

概率论 · 数学 2022-09-22 Ryan Cotsakis , Elena Di Bernardino , Céline Duval

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

We investigate the dependence of dark matter halo clustering on halo formation time, density profile concentration, and subhalo occupation number, using high-resolution numerical simulations of a LCDM cosmology. We confirm results that halo…

We derive a general expression for the large-scale halo bias, in theories with a scale-dependent linear growth, using the excursion set formalism. Such theories include modified gravity models, and models in which the dark energy clustering…

宇宙学与河外天体物理 · 物理学 2011-03-22 Kyle Parfrey , Lam Hui , Ravi K. Sheth

The merger and accretion probabilities of dark matter halos have so far only been calculated for an infinitesimal time interval. This means that a Monte-Carlo simulation with very small time steps is necessary to find the merger history of…

天体物理学 · 物理学 2008-10-15 Esfandiar Alizadeh , Benjamin Wandelt

We present a modification of the standard halo model with the goal of providing an improved description of galaxy clustering. Recent surveys, like the Sloan Digital Sky Survey (SDSS) and the Anglo-Australian Two-degree survey (2dF), have…

宇宙学与河外天体物理 · 物理学 2015-05-19 Héctor Gil-Marín , Raul Jimenez , Licia Verde

Structures in the Universe are arranged into the cosmic web. Distributions, statistics, and evolutions of the structures can be used as probes for cosmological models. We investigate the number density of voids and dark matter…

宇宙学与河外天体物理 · 物理学 2023-11-15 Laya Parkavousi , Hamed Kameli , Shant Baghram

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

The Hubble tension may introduce a new course of action to revise the standard $\Lambda$CDM model to unravel dark energy and dark matter physics. The Hubble parameter can be reconstructed by late-time observations of the background…

宇宙学与河外天体物理 · 物理学 2022-02-09 Hamed Kameli , Shant Baghram

Structure formation provides a strong test of any cosmic acceleration model because a successful dark energy model must not inhibit {\black or overpredict} the development of observed large-scale structures. Traditional approaches to…

宇宙学与河外天体物理 · 物理学 2010-10-28 C. Prescod-Weinstein , N. Afshordi

To extract information from the clustering of galaxies on non-linear scales, we need to model the connection between galaxies and halos accurately and in a flexible manner. Standard halo occupation distribution (HOD) models make the…

宇宙学与河外天体物理 · 物理学 2022-09-22 Ana Maria Delgado , Digvijay Wadekar , Boryana Hadzhiyska , Sownak Bose , Lars Hernquist , Shirley Ho

Motivated by the recent direct detection of cosmological gas infall, we develop an analytical model for calculating the mean density profile around an initial overdensity that later forms a dark matter halo. We account for the problem of…

天体物理学 · 物理学 2009-11-07 Rennan Barkana

Clustering of dark matter halos has been shown to depend on halo properties beyond mass such as halo concentration, a phenomenon referred to as halo assembly bias. Standard halo occupation models (HOD) in large scale structure studies…

宇宙学与河外天体物理 · 物理学 2019-04-05 Mohammadjavad Vakili , ChangHoon Hahn

We present accurate measurements of the linear, quadratic, and cubic local bias of dark matter halos, using curved "separate universe" N-body simulations which effectively incorporate an infinite-wavelength overdensity. This can be seen as…

宇宙学与河外天体物理 · 物理学 2016-04-15 Titouan Lazeyras , Christian Wagner , Tobias Baldauf , Fabian Schmidt

We present a new method to compute the first crossing distribution in excursion set theory for the case of correlated random walks. We use a combination of the path integral formalism of Maggiore & Riotto, and the integral equation solution…

宇宙学与河外天体物理 · 物理学 2014-02-18 Arya Farahi , Andrew J. Benson