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We study the distribution of dark matter in the nonlinear regime in a model in which the primordial fluctuations include, in addition to the dominant primordial Gaussian fluctuations generated by the standard $\Lambda CDM$ cosmological…

宇宙学与河外天体物理 · 物理学 2018-10-24 Disrael Cunha , Joachim Harnois-Deraps , Robert Brandenberger , Adam Amara , Alexandre Refregier

The search for cosmic strings has been of renewed interest with the advent of precision cosmology. In this note we give a quantitative description of the nonlinear matter density fluctuations that can form from a scaling network of cosmic…

宇宙学与河外天体物理 · 物理学 2013-05-06 Francis Duplessis , Robert Brandenberger

An approximate statistical description of the formation and evolution of structure of the universe based on the Zel'dovich theory of gravitational instability is proposed. It is found that the evolution of DM structure shows features of…

天体物理学 · 物理学 2009-10-31 M. Demianski , A. Doroshkevich

Cosmic strings are generically predicted in many extensions of the Standard Model of particle physics. We propose a new avenue for detecting cosmic strings through their effect on the filamentary structure in the cosmic web. Using…

宇宙学与河外天体物理 · 物理学 2020-08-11 M. A. Fernandez , Simeon Bird , Yanou Cui

Minkowski Functionals are a powerful tool for analyzing large scale structure, in particular if the distribution of matter is highly non-Gaussian, as it is in models in which cosmic strings contribute to structure formation. Here we apply…

宇宙学与河外天体物理 · 物理学 2015-03-19 Evan McDonough , Robert H. Brandenberger

I compute the 3-D non-linear evolution of gas and dark matter fluids in the neighbourhood of cosmic string wakes which are formed at high redshift ($z\simeq 2240$) for a ``realistic'' scenario of wake formation. These wakes are the ones…

天体物理学 · 物理学 2009-10-30 Benjamin D. Wandelt

The large scale matter distribution in three different simulations of CDM models is investigated and compared with corresponding results of the Zel'dovich theory of nonlinear gravitational instability. We show that the basic characteristics…

天体物理学 · 物理学 2009-10-31 M. Demianski , A. G. Doroshkevich , V. Mueller , V. Turchaninov

Three-dimensional ridgelet statistics are used to search for the signals of cosmic string wakes in the distribution of dark matter. We compare N-body simulations of the dark matter distribution in cosmological models with and without a…

宇宙学与河外天体物理 · 物理学 2018-07-27 Samuel Laliberte , Robert Brandenberger , Disrael Camargo Neves da Cunha

We study the efficiency of genus statistics in differentiating between different models of structure formation. Simple models which reproduce the salient features of the structure seeded by topological defects are examined. We consider…

天体物理学 · 物理学 2009-10-28 Pedro Avelino

We use the analytical model recently introduced in Ref. \cite{lp92}, to investigate the statistics of temperature fluctuations on the cosmic microwave background (CMB), induced by topological defects. The cases of cosmic strings and…

高能物理 - 唯象学 · 物理学 2010-11-01 Leandros Perivolaropoulos

One of the components of the cosmic web are sheets, which are commonly referred to as Zeldovich pancakes. These are structures which have only collapsed along one dimension, as opposed to filaments or galaxies and cluster, which have…

宇宙学与河外天体物理 · 物理学 2015-06-23 Digvijay Wadekar , Steen H. Hansen

Ideas of Statistical Physics are very relevant for cosmic structures especially considering that the field is undergoing a period of exceptional development with many new data appearing on a monthly basis. In the past years we have focused…

天体物理学 · 物理学 2009-01-01 Luciano Pietronero , Andrea Gabrielli , Francesco Sylos Labini

The cosmic large scale structure encodes the formation and evolution of a weblike network of dark matter and galaxies within the Universe. The cosmological information is wrapped up in non-Gaussian statistics requiring characterisation…

宇宙学与河外天体物理 · 物理学 2024-11-26 Alex Gough

The cosmic web is a complex spatial pattern of walls, filaments, cluster nodes and underdense void regions. It emerged through gravitational amplification from the Gaussian primordial density field. Here we infer analytical expressions for…

宇宙学与河外天体物理 · 物理学 2014-12-17 Job Feldbrugge , Johan Hidding , Rien van de Weygaert

Good statistics for measuring large-scale structure in the Universe must be able to distinguish between different models of structure formation. In this paper, two and three dimensional ``counts in cell" statistics and a new ``discrete…

天体物理学 · 物理学 2007-05-23 Robert H. Brandenberger , David M. Kaplan , Stephen A , Ramsey

Cosmic strings are topological defects possibly formed in the early Universe, which may be observable due to their gravitational effects on the cosmic microwave background radiation or gravitational wave experiments. To this effect it is…

宇宙学与河外天体物理 · 物理学 2017-03-01 R. P. L. Azevedo , C. J. A. P. Martins

In non-linear scales, the matter density distribution is not Gaussian. Consequently, the widely used two-point correlation function is not adequate anymore to capture the matter density field's entire behaviour. Among all statistics beyond…

宇宙学与河外天体物理 · 物理学 2022-04-20 Mohammad Ansari Fard , Zahra Baghkhani , Laya Ghodsi , Sina Taamoli , Farbod Hassani , Shant Baghram

The recent observations of galaxy and dark matter clumpy distributions have provided new elements to the understating of the problem of cosmological structure formation. The strong clumpiness characterizing galaxy structures seems to be…

统计力学 · 物理学 2009-11-13 Francesco Sylos Labini , Luciano Pietronero

The Large Scale Structure in the galaxy distribution is investigated using The First Data Release of the Sloan Digital Sky Survey. Using the Minimal Spanning Tree technique we have extracted sets of filaments, of wall--like structures, of…

天体物理学 · 物理学 2009-07-07 A. Doroshkevich , D. L. Tucker , S. Allam , M. J. Way

We compute analytically the small-scale temperature fluctuations of the cosmic microwave background from cosmic (super-)strings and study the dependence on the string intercommuting probability $P$. We develop an analytical model which…

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