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相关论文: A Gravitational Ising Model for the Statistical Bi…

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A reliable model of galaxy bias is necessary for interpreting data from future dense galaxy surveys. Conventional bias models are inaccurate, in that they can yield unphysical results ($\delta_g < -1$) for voids that might contain half of…

宇宙学与河外天体物理 · 物理学 2020-03-04 Andrew Repp , István Szapudi

Repp and Szapudi (2019) present a physically-motivated galaxy bias model which remains physical in low-density regions and which also provides a better fit to simulation data than do typical survey-analysis bias models. Given plausible…

宇宙学与河外天体物理 · 物理学 2019-12-13 Andrew Repp , István Szapudi

Understanding $\textit{galaxy bias}$ -- that is the statistical relation between matter and galaxies -- is of key importance for extracting cosmological information from galaxy surveys. While the bias function $f$ -- that is the probability…

宇宙学与河外天体物理 · 物理学 2025-02-05 Jens Stücker , Marcos Pellejero-Ibáñez , Rodrigo Voivodic , Raul E. Angulo

Weak gravitational lensing surveys are rapidly becoming important tools to probe directly the mass density fluctuations in the universe and its background dynamics. Earlier studies have shown that it is possible to model the statistics of…

天体物理学 · 物理学 2009-11-07 Patrick Valageas , Andrew J. Barber , Dipak Munshi

{We study biasing as a physical phenomenon by analysing geometrical and clustering properties of density fields of matter and galaxies.} {Our goal is to determine the bias function using a combination of geometrical and power spectrum…

宇宙学与河外天体物理 · 物理学 2019-09-25 J. Einasto , L. J. Liivamägi , I. Suhhonenko , M. Einasto

I argue that the weight of the available evidence favours the conclusions that galaxies are unbiased tracers of mass, the mean mass density (excluding a cosmological constant or its equivalent) is less than the critical Einstein-de Sitter…

天体物理学 · 物理学 2009-10-30 P. J. E. Peebles

Gravitational lensing directly measures mass density fluctuations along the lines of sight to very distant objects. No assumptions need to be made concerning bias, the ratio of fluctuations in galaxy density to mass density. Hence, lensing…

天体物理学 · 物理学 2007-05-23 Joachim Wambsganss , Renyue Cen , Jeremiah P. Ostriker

The standard cold dark matter plus cosmological constant model predicts that galaxies form within dark-matter haloes, and that low-mass galaxies are more dark-matter dominated than massive ones. The unexpected discovery of two low-mass…

In the theory of structure formation, galaxies are biased tracers of the underlying matter density field. The statistical relation between galaxy and matter density field is commonly referred as galaxy bias. In this paper, we test the…

宇宙学与河外天体物理 · 物理学 2015-06-04 Eric Jullo , Jason Rhodes , Alina Kiessling , James E. Taylor , Richard Massey , Joel Berge , Carlo Schimd , Jean-Paul Kneib , Nick Scoville

In order to prepare for the upcoming wide-field cosmological surveys, large simulations of the Universe with realistic galaxy populations are required. In particular, the tendency of galaxies to naturally align towards overdensities, an…

The relationship between galaxy and matter overdensities, bias, is most often assumed to be local. This is however unstable under time evolution, we provide proofs under several sets of assumptions. In the simplest model galaxies are…

宇宙学与河外天体物理 · 物理学 2012-04-06 Kwan Chuen Chan , Roman Scoccimarro , Ravi K. Sheth

Future weak lensing surveys will directly probe the density fluctuation in the universe. Recent studies have shown how the statistics of the weak lensing convergence field is related to the statistics of collapsed objects. Extending earlier…

天体物理学 · 物理学 2008-11-26 Dipak Munshi

Considering galaxies as self - gravitating systems of many collisionless particles allows to use methods of statistical mechanics inferring the distribution function of these stellar systems. Actually, the long range nature of the…

宇宙学与河外天体物理 · 物理学 2014-02-04 V. F. Cardone , M. P. Leubner , A. Del Popolo

Gravitational lensing has now become a popular tool to measure the mass distribution of structures in the Universe on various scales. Here we focus on the study of galaxy's scale dark matter halos with galaxy-galaxy lensing techniques:…

天体物理学 · 物理学 2007-05-23 M. Limousin , J-P. Kneib , P. Natarajan

Studies of strong gravitational lensing in current and upcoming wide and deep photometric surveys, and of stellar kinematics from (integral-field) spectroscopy at increasing redshifts, promise to provide valuable constraints on galaxy…

天体物理学 · 物理学 2015-05-13 Glenn van de Ven , Rachel Mandelbaum , Charles R. Keeton

Gravitational lensing and stellar dynamics provide two complementary, nearly orthogonal, constraints on the mass distribution of early-type lens galaxies. This allows the luminous and dark-matter distribution in higher-redshift (z>0.1)…

天体物理学 · 物理学 2007-05-23 L. V. E. Koopmans

Models of structure formation in the universe postulate that matter distributions observed today in galaxy catalogs arise, through a complex non-linear dynamics, by gravitational evolution from a very uniform initial state. Dark matter…

统计力学 · 物理学 2009-11-11 Luciano Pietronero , Francesco Sylos Labini

Gravitational lensing shear has the potential to be the most powerful tool for constraining the nature of dark energy. However, accurate measurement of galaxy shear is crucial and has been shown to be non-trivial by the Shear TEsting…

宇宙学与河外天体物理 · 物理学 2015-05-13 L. M. Voigt , S. L. Bridle

This paper examines several methods of tracing galaxies in N-body simulations and their effects on the derived galaxy statistics, especially measurements of velocity bias. Using two simulations with identical initial conditions, one…

天体物理学 · 物理学 2009-06-16 F J Summers , Marc Davis , August E. Evrard

Galaxies are biased tracers of the underlying cosmic web, which is dominated by dark matter components that cannot be directly observed. The relationship between dark matter density fields and galaxy distributions can be sensitive to…

宇宙学与河外天体物理 · 物理学 2023-11-16 Core Francisco Park , Victoria Ono , Nayantara Mudur , Yueying Ni , Carolina Cuesta-Lazaro
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