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The magnifications of the images in a strong gravitational lens system are sensitive to small mass clumps in the lens potential; this effect has been used to infer the amount of substructure in galaxy dark matter halos. I study the theory…

天体物理学 · 物理学 2009-11-07 Charles R. Keeton

Understanding the biasing between the clustering properties of halos and the underlying dark matter distribution is important for extracting cosmological information from ongoing and upcoming galaxy surveys. While on sufficiently larges…

宇宙学与河外天体物理 · 物理学 2014-08-27 Matteo Biagetti , Vincent Desjacques , Alex Kehagias , Antonio Riotto

We use N-body simulations to test the predictions of the redshift distortion in the power spectrum given by the halo model in which the clustering of dark matter particles is considered as a result both of the clustering of dark halos in…

天体物理学 · 物理学 2009-11-07 Xi. Kang , Y. P. Jing , H. J. Mo , G. Borner

In two previous papers a semi-analytical model was presented for the hierarchical clustering of halos via gravitational instability from peaks in a random Gaussian field of density fluctuations. This model is better founded than the…

天体物理学 · 物理学 2009-10-30 A. Manrique , A. Raig , J. M. Solanes , G. Gonzalez-Casado , P. Stein , E. Salvador-Sole

By introducing Crossing functions and hyper-parameters I show that the Bayesian interpretation of the Crossing Statistics [1] can be used trivially for the purpose of model selection among cosmological models. In this approach to falsify a…

宇宙学与河外天体物理 · 物理学 2012-05-24 Arman Shafieloo

High- to ultrahigh-redshift clustering of halos provides a powerful tool to understand cosmology and galaxy formation. However, theoretical predictions are not firmly established in the first billion years, where current and upcoming…

宇宙学与河外天体物理 · 物理学 2026-04-17 Kuan Wang , Julian B. Muñoz , L. Y. Aaron Yung

The Holme-Kim random graph processes is a variant of the Barabasi-Albert scale-free graph that was designed to exhibit clustering. In this paper we show that whether the model does indeed exhibit clustering depends on how we define the…

概率论 · 数学 2016-10-13 Roberto I. Oliveira , Rodrigo B. Ribeiro , Remy Sanchis

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

We use two cosmological simulations of structure formation to study the conditions under which dark matter haloes emerge from the linear density field. Our analysis focuses on matching sites of halo collapse to local density maxima, or…

宇宙学与河外天体物理 · 物理学 2015-03-17 Aaron D. Ludlow , Cristiano Porciani

Observations of the clustering of galaxies can provide useful information about the distribution of dark matter in the Universe. In order to extract accurate cosmological parameters from galaxy surveys, it is important to understand how the…

宇宙学与河外天体物理 · 物理学 2015-05-28 Surhud More

A divide-and-conquer cryptanalysis can often be mounted against some keystream generators composed of several (nonlinear) independent devices combined by a Boolean function. In particular, any parity-check relation derived from the periods…

密码学与安全 · 计算机科学 2009-04-29 Anne Canteaut , Maria Naya-Plasencia

We present several methods to accurately estimate Lagrangian bias parameters and substantiate them using simulations. In particular, we focus on the quadratic terms, both the local and the non local ones, and show the first clear evidence…

宇宙学与河外天体物理 · 物理学 2017-12-01 Chirag Modi , Emanuele Castorina , Uros Seljak

Secondary halo bias, commonly known as 'assembly bias,' is the dependence of halo clustering on a halo property other than mass. This prediction of the Lambda-Cold Dark Matter cosmology is essential to modelling the galaxy distribution to…

宇宙学与河外天体物理 · 物理学 2018-08-30 Yao-Yuan Mao , Andrew R. Zentner , Risa H. Wechsler

We examine scatter and bias in weak lensing selected clusters, employing both an analytic model of dark matter haloes and numerical mock data of weak lensing cluster surveys. We pay special attention to effects of the diversity of dark…

宇宙学与河外天体物理 · 物理学 2015-06-04 Takashi Hamana , Masamune Oguri , Masato Shirasaki , Masanori Sato

The thermal activation process by which a system passes from one local energy minimum to another is a recurring motif in physics, chemistry, and biology. For instance, biopolymer chains are typically modeled in terms of energy landscapes,…

统计力学 · 物理学 2024-10-01 Sudeep Adhikari , K. S. D. Beach

Finding (bi-)clusters in bipartite graphs is a popular data analysis approach. Analysts typically want to visualize the clusters, which is simple as long as the clusters are disjoint. However, many modern algorithms find overlapping…

机器学习 · 计算机科学 2023-07-17 Thibault Marette , Pauli Miettinen , Stefan Neumann

Gravitational lensing effects arise from the light ray deflection by all of the mass distribution along the line of sight. It is then expected that weak lensing cluster surveys can provide us true mass-selected cluster samples. With…

天体物理学 · 物理学 2009-11-13 J. Y. Tang , Z. H. Fan

The densities of dark and baryonic matter are comparable: \zeta = \rho_D / \rho_B ~ O(1). This is surprising because they are controlled by different combinations of low-energy physics parameters. Here we consider the probability…

高能物理 - 理论 · 物理学 2013-09-11 Raphael Bousso , Lawrence Hall

The dark matter halos that host galaxies and clusters form out of initial high-density patches, providing a biased tracer of the linear matter density field. In the simplest local bias approximation, the halo field is treated as a…

宇宙学与河外天体物理 · 物理学 2016-04-15 Titouan Lazeyras , Marcello Musso , Vincent Desjacques

The existence of dark matter can be proved in an astrophysical context by the discovery of a system in which the observed baryons and the inferred dark matter are spatially segregated, such as the bullet cluster (1E0657-558). The full…

天体物理学 · 物理学 2009-11-13 Dmitry A. Prokhorov , Florence Durret