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相关论文: The Aemulus Project IV: Emulating Halo Bias

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We use a new method, the cross power spectrum between the linear density field and the halo number density field, to measure the Lagrangian bias for dark matter halos. The method has several important advantages over the conventional…

天体物理学 · 物理学 2009-10-31 Y. P. Jing

We use self-similarity in N-body simulations of scale-free models to test for resolution dependence in the mass function and two-point correlation functions of dark matter halos. We use 1024$^3$ particle simulations performed with ABACUS,…

宇宙学与河外天体物理 · 物理学 2021-02-22 M. Leroy , L. Garrison , D. Eisenstein , M. Joyce , S. Maleubre

The stellar mass - halo mass relation provides a strong basis for connecting galaxies to their host dark matter halos in both simulations and observations. Other observable information, such as the density of the local environment, can…

星系天体物理 · 物理学 2023-10-19 Haley Bowden , Peter Behroozi , Andrew Hearin

The two-point clustering of dark matter halos is influenced by halo properties besides mass, a phenomenon referred to as halo assembly bias. Using the depth of the gravitational potential well, $V_{\rm max}$, as our secondary halo property,…

宇宙学与河外天体物理 · 物理学 2016-03-23 Tomomi Sunayama , Andrew P. Hearin , Nikhil Padmanabhan , Alexie Leauthaud

We examine the properties of dark matter halos within a rich galaxy cluster using a high resolution simulation that captures the cosmological context of a cold dark matter universe. The mass and force resolution permit the resolution of 150…

天体物理学 · 物理学 2009-10-30 Sebastiano Ghigna , Ben Moore , Fabio Governato , George Lake , Thomas Quinn , Joachim Stadel

We review the formalism and applications of the halo-based description of nonlinear gravitational clustering. In this approach, all mass is associated with virialized dark matter halos; models of the number and spatial distribution of the…

天体物理学 · 物理学 2011-07-19 Asantha Cooray , Ravi Sheth

We investigate various phenomenological schemes for the rapid generation of 3D mock galaxy catalogues with a given power spectrum and bispectrum. We apply the fast bispectrum estimator \MODALLSS{} to these mock galaxy catalogues and compare…

宇宙学与河外天体物理 · 物理学 2019-09-10 Johnathan Hung , Marc Manera , E. P. S. Shellard

The connection between galaxies and dark matter halos is often inferred from data using probabilistic models, such as the Halo Occupation Distribution (HOD). Conventional HOD formulations assume that only halo mass governs the galaxy-halo…

宇宙学与河外天体物理 · 物理学 2016-05-25 Andrew P. Hearin , Andrew R. Zentner , Frank C. van den Bosch , Duncan Campbell , Erik Tollerud

The predicted mass function of dark matter halos is essential in connecting observed galaxy cluster counts and models of galaxy clustering to the properties of the primordial density field. We determine the mass function in the concordance…

天体物理学 · 物理学 2011-02-11 Michael S. Warren , Kevork Abazajian , Daniel E. Holz , Luis Teodoro

We report a series of high-resolution N-body simulations designed to examine the internal physical properties of dark matter halos. A total of fifteen halos, each represented by $\sim 1$ million particles within the virial radius, have been…

天体物理学 · 物理学 2009-09-25 Y. P. Jing , Yasushi Suto

We utilize $\Lambda$CDM halo occupation models of galaxy clustering to investigate the evolving stellar mass dependent clustering of galaxies in the PRIsm MUlti-object Survey (PRIMUS) and DEEP2 Redshift Survey over the past eight billion…

We develop a simple analytic model for the gravitational clustering of dark matter haloes to understand how their spatial distribution is biased relative to that of the mass. The statistical distribution of dark haloes within the initial…

天体物理学 · 物理学 2015-06-24 H. J. Mo , S. D. M. White

To maximize the amount of information extracted from cosmological datasets, simulations that accurately represent these observations are necessary. However, traditional simulations that evolve particles under gravity by estimating…

Secondary halo properties beyond mass, such as the mass accretion rate (MAR), concentration, and the half mass scale, are essential in understanding the formation of large-scale structure and dark matter halos. In this paper, we study the…

宇宙学与河外天体物理 · 物理学 2022-04-13 Enia Xhakaj , Alexie Leauthaud , Johannes Lange , Andrew Hearin , Benedikt Diemer , Neal Dalal

The shapes of dark matter haloes are sensitive to both cosmology and baryon physics, but are difficult to measure observationally. A promising way to constrain them is to use the positions of satellite galaxies as tracers of the underlying…

宇宙学与河外天体物理 · 物理学 2025-07-09 A. Herle , N. E. Chisari , H. Hoekstra , R. J. McGibbon , J. Schaye , M. Schaller , R. Kugel

Models of the galaxy-halo connection are needed to understand both galaxy clusters and large scale structure. To make said models, we need a robust method that assigns galaxies to halos and matches the observed and simulated stellar-halo…

星系天体物理 · 物理学 2025-01-13 F. L. Davidson , D. Bacon , A. Amara , K. Koyama , W. G. Hartley , L. F. de la Bella , S. I. Tam , K. Umetsu , J. Noller

We study the biasing relation between dark-matter halos or galaxies and the underlying mass distribution, using cosmological $N$-body simulations in which galaxies are modelled via semi-analytic recipes. The nonlinear, stochastic biasing is…

天体物理学 · 物理学 2009-09-25 R. S. Somerville , G. Lemson , Y. Sigad , A. Dekel , G. Kauffmann , S. D. M. White

Understanding the physical connection between cluster galaxies and massive haloes is key to mitigating systematic uncertainties in next-generation cluster cosmology. We develop a novel method to infer the level of conformity between the…

宇宙学与河外天体物理 · 物理学 2022-01-25 Ying Zu , Yunjia Song , Zhiwei Shao , Xiaokai Chen , Yun Zheng , Hongyu Gao , Yu Yu , Huanyuan Shan , Yipeng Jing

In this paper we use high-resolution cosmological simulations to study halo intrinsic alignment and its dependence on mass, formation time and large-scale environment. In agreement with previous studies using N-body simulations, it is found…

宇宙学与河外天体物理 · 物理学 2017-10-18 Qianli Xia , Xi Kang , Peng Wang , Yu Luo , Xiaohu Yang , Yipeng Jing , Huiyuan Wang , Houjun Mo
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