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We investigate the impact finite simulation box size has on the structural and kinematic properties of Cold Dark Matter haloes forming in cosmological simulations. Our approach involves generating a single realisation of the initial power…

天体物理学 · 物理学 2009-11-11 Chris Power , Alexander Knebe

Super sample covariance (SSC) is important when estimating covariance matrices using a set of mock catalogues for galaxy surveys. If the underlying cosmological simulations do not include the variation in background parameters appropriate…

宇宙学与河外天体物理 · 物理学 2025-03-05 Greg Schreiner , Alex Krolewski , Shahab Joudaki , Will J. Percival

(Abridged) We investigate and quantify the impact of finite simulation volume on weak lensing two- and four-point statistics. These {\it finite support} (FS) effects are modelled for several estimators, simulation box sizes and source…

宇宙学与河外天体物理 · 物理学 2015-05-27 Joachim Harnois-Deraps , Ludovic van Waerbeke

Ultralight candidates for dark matter can present wavelike features on astrophysical scales. Full wave based simulations of such candidates are currently limited to box sizes of 1--10 Mpc/$h$ on a side, limiting our understanding of the…

宇宙学与河外天体物理 · 物理学 2025-09-16 Alex Gough , Cora Uhlemann

The magnification effects of clustered matter produce variations in the image sizes and number density of galaxies across the sky. This paper advocates the use of these effects in wide field surveys to map large-scale structure and the…

天体物理学 · 物理学 2009-11-07 Bhuvnesh Jain

On large scales galaxies and their halos are usually assumed to trace the dark matter with a constant bias and dark matter is assumed to trace the linear density field. We test these assumption using several large N-body simulations with…

天体物理学 · 物理学 2009-11-10 Uros Seljak , Michael S. Warren

The covariance matrix of the matter power spectrum is a key element of the statistical analysis of galaxy clustering data. Independent realisations of observational measurements can be used to sample the covariance, nevertheless statistical…

宇宙学与河外天体物理 · 物理学 2016-04-14 Linda Blot , Pier Stefano Corasaniti , Luca Amendola , Thomas D. Kitching

N-Body simulations are a very important tool in the study of formation of large scale structures. Much of the progress in understanding the physics of high redshift universe and comparison with observations would not have been possible…

天体物理学 · 物理学 2007-05-23 J. S. Bagla , Suryadeep Ray

N-Body simulations are a very important tool in the study of formation of large scale structures. Much of the progress in understanding the physics of galaxy formation and comparison with observations would not have been possible without…

天体物理学 · 物理学 2008-12-18 J. S. Bagla , Jayanti Prasad

Galaxy surveys are one of the most powerful means to extract the cosmological information and for a given volume the attainable precision is determined by the galaxy shot noise sigma_n^2 relative to the power spectrum P. It is generally…

宇宙学与河外天体物理 · 物理学 2009-09-02 U. Seljak , N. Hamaus , V. Desjacques

We utilize the cosmological volume simulation, FIREbox, to investigate how a galaxy's environment influences its size and dark matter content. Our study focuses on approximately 1,200 galaxies (886 central and 332 satellite halos) in the…

Fluctuations in the large-scale structure of the Universe contain significant information about cosmological physics, but are modulated in survey datasets by various observational effects. Building on existing literature, we provide a…

宇宙学与河外天体物理 · 物理学 2019-08-14 Chris Blake

One of the main problems of observational cosmology is to determine the range in which a reliable measurement of galaxy correlations is possible. This corresponds to determine the shape of the correlation function, its possible evolution…

宇宙学与河外天体物理 · 物理学 2014-07-18 Francesco Sylos Labini , Daniil Tekhanovich , Yurij V. Baryshev

The velocity correlation functions directly measured from the peculiar velocity field of dark matter in numerical simulations are known to have an amplitude lower than that predicted by theoretical models at large scales. The trend persists…

宇宙学与河外天体物理 · 物理学 2026-02-05 Yao-Tsung Chuang , Teppei Okumura , Takahiro Nishimichi

The primary science driver for 3D galaxy surveys is their potential to constrain cosmological parameters. Forecasts of these surveys' effectiveness typically assume Gaussian statistics for the underlying matter density, despite the fact…

宇宙学与河外天体物理 · 物理学 2015-10-27 Andrew Repp , István Szapudi , Julien Carron , Melody Wolk

We present a model that builds ``dark matter"-like halo density profiles from free-falling zero-point vacuum fluctuations. It does not require a modification of Newton's laws, nor the existence of as-yet-undiscovered dark matter particles.…

广义相对论与量子宇宙学 · 物理学 2023-02-06 François Couchot , Arache Djannati-Ataï , Scott Robertson , Xavier Sarazin , Marcel Urban

Upcoming large redshift surveys potentially allow precision measurements of the galaxy power spectrum. To accurately measure P(k) on the largest scales, comparable to the depth of the survey, it is crucial that finite volume effects are…

天体物理学 · 物理学 2016-01-27 Max Tegmark

The clustering of galaxies in ongoing and upcoming galaxy surveys contains a wealth of cosmological information, but extracting this information is a non-trivial task since galaxies and their host haloes are stochastic tracers of the matter…

宇宙学与河外天体物理 · 物理学 2013-10-30 Tobias Baldauf , Uroš Seljak , Robert E. Smith , Nico Hamaus , Vincent Desjacques

N-Body simulations are an important tool in the study of formation of large scale structures. Much of the progress in understanding the physics of galaxy clustering and comparison with observations would not have been possible without…

天体物理学 · 物理学 2009-09-09 J. S. Bagla , Jayanti Prasad , Nishikanta Khandai

New arguments supporting the reality of large-scale fluctuations in the density of the visible matter in deep galaxy surveys are presented. A statistical analysis of the radial distributions of galaxies in the COSMOS and HDF-N deep fields…

宇宙学与河外天体物理 · 物理学 2016-07-12 S. I. Shirokov , N. Yu. Lovyagin , Yu. V. Baryshev , V. L. Gorokhov
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