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相关论文: Analysis of Large Scale Structure using Percolatio…

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We study topological properties of large scale structure in a set of scale free N-body simulations using the genus and percolation curves as topological characteristics. Our results show that as gravitational clustering advances, the…

天体物理学 · 物理学 2009-10-28 Varun Sahni , B. S. Sathyaprakash , S. F. Shandarin

We analyse shapes of overdense regions (clusters and superclusters) in controlled N-body simulations of gravitational clustering with power law initial spectra P(k) \propto k^n, n = -3, -2, -1, 0. At values of the density just above the…

天体物理学 · 物理学 2009-10-30 B. S. Sathyaprakash , Varun Sahni , Sergei F. Shandarin

The topology of large scale structure is studied as a function of galaxy type using the genus statistic. In hydrodynamical cosmological CDM simulations, galaxies form on caustic surfaces (Zeldovich pancakes) then slowly drain onto filaments…

天体物理学 · 物理学 2012-08-27 J. Richard Gott , III , Renyue Cen , Jeremiah P. Ostriker

The morphological nature of structures that form under gravitational instability has been of central interest to cosmology for over two decades. A remarkable feature of large scale structures in the Universe is that they occupy a relatively…

天体物理学 · 物理学 2009-10-28 B. S. Sathyaprakash , V. Sahni , S. F. Shandarin

A complete family of statistical descriptors for the morphology of large--scale structure based on Minkowski--Functionals is presented. These robust and significant measures can be used to characterize the local and global morphology of…

天体物理学 · 物理学 2007-05-23 T. Buchert

Observations reveal that on large scales the universe is spanned by a percolating network of superclusters interspersed with large and almost empty regions -- voids. This thesis reports the construction of a sophisticated computational…

天体物理学 · 物理学 2007-05-23 Jatush V. Sheth

The statistical analysis of cosmic large-scale structure is most often based on simple two-point summary statistics, like the power spectrum or the two-point correlation function of a sample of galaxies or other types of tracers. In…

宇宙学与河外天体物理 · 物理学 2024-08-23 Eniko Regos , Volker Springel , Sownak Bose , Boryana Hadzhiyska , Cesar Hernandez-Aguayo

The morphological properties of large scale structure of the Universe can be fully described by four Minkowski functionals (MFs), which provide important complementary information to other statistical observables such as the widely used…

宇宙学与河外天体物理 · 物理学 2017-05-24 Wenjuan Fang , Baojiu Li , Gong-Bo Zhao

We measure the three-dimensional topology of large-scale structure in the Sloan Digital Sky Survey (SDSS). This allows the genus statistic to be measured with unprecedented statistical accuracy. The sample size is now sufficiently large to…

We study the supercluster shape properties of the recently compiled SDSS cluster catalog using an approach based on differential geometry. We detect superclusters by applying the percolation algorithm to observed cluster populations,…

天体物理学 · 物理学 2009-11-07 Spyros Basilakos

Minkowski functionals and Shapefinders shed light on the connectedness of large-scale structure by determining its topology and morphology. We use a sophisticated code, SURFGEN2, to measure the Minkowski functionals and Shapefinders of…

宇宙学与河外天体物理 · 物理学 2020-03-30 Satadru Bag , Rajesh Mondal , Prakash Sarkar , Somnath Bharadwaj , Tirthankar Roy Choudhury , Varun Sahni

We present a new ansatz which can successfully be used to determine the morphological properties of the supercluster-void network. The ansatz is based on a surface modelling scheme SURFGEN, which generates a triangulated surface from a…

天体物理学 · 物理学 2009-11-07 Jatush V. Sheth , Varun Sahni , Sergei F. Shandarin , B. S. Sathyaprakash

We studied superclusters of galaxies in a volume-limited sample extracted from the Sloan Digital Sky Survey Data Release 7 (SDSS/DR7) and from mock catalogues based on a semi-analytical model of galaxy evolution in the Millenium Simulation.…

宇宙学与河外天体物理 · 物理学 2015-05-20 M. V. Costa-Duarte , L. Sodré , F. Durret

The genus statistics of isodensity contours has become a well-established tool in cosmology. In this Letter we place the genus in the wider framework of a complete family of morphological descriptors. These are known as the Minkowski…

天体物理学 · 物理学 2009-10-30 Jens Schmalzing , Thomas Buchert

We construct a set of shape-finders which determine shapes of compact surfaces (iso-density surfaces in galaxy surveys or N-body simulations) without fitting them to ellipsoidal configurations as done earlier. The new indicators arise from…

天体物理学 · 物理学 2009-10-30 Varun Sahni , B. S. Sathyaprakash , Sergei F. Shandarin

As a statistical measure to quantify the topological structure of the large-scale structure in the universe, the genus number is calculated for a number of non-Gaussian distributions in which the density field is characterized by a…

天体物理学 · 物理学 2009-10-28 Takahiko Matsubara , Jun'ichi Yokoyama

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

Galaxy superclusters, the largest galaxy structures in the cosmic web, are formed due to the gravitational collapse (although they are not usually gravitationally bound). Their geometrical properties can shed light on the structure…

宇宙学与河外天体物理 · 物理学 2023-04-20 Satadru Bag , Lauri Juhan Liivamägi , Maret Einasto

We study the morphology of the richest superclusters from the catalogues of superclusters of galaxies in the 2dF Galaxy Redshift Survey and compare the morphology of real superclusters with model superclusters in the Millennium Simulation.…

We propose a novel method for the description of spatial patterns formed by a coverage of point sets representing galaxy samples. This method is based on a complete family of morphological measures known as Minkowski functionals, which…

天体物理学 · 物理学 2007-05-23 K. R. Mecke , T. Buchert , H. Wagner
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