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相关论文: A geometrical model for the catalogs of galaxies

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We review the model of the Voronoi Diagrams which allows to reproduce the large-scale structures of our universe as given by the astronomical catalogs. The observed number of galaxies in a given solid angle with a chosen flux/magnitude…

宇宙学与河外天体物理 · 物理学 2013-09-03 L. Zaninetti

The voids between galaxies are identified with the volumes of the Poisson Voronoi tessellation. Two new survival functions for the apparent radii of voids are derived. The sectional normalized area of the Poisson Voronoi tessellation is…

宇宙学与河外天体物理 · 物理学 2015-05-20 Lorenzo Zaninetti

The intersections between a spherical shell and the faces of Voronoi's polyhedrons are numerically evaluated. The nodes of these intersections are the points that share the same distances from three nuclei. The nodes are assumed to be the…

宇宙学与河外天体物理 · 物理学 2019-01-23 Lorenzo Zaninetti

The size distributions of 2D and 3D Voronoi cells and of cells of $V_p(2,3)$,--2D cut of 3D Voronoi diagram--are explored, with the single-parameter (re-scaled) gamma distribution playing a central role in the analytical fitting.…

天体物理学 · 物理学 2011-09-20 Lorenzo Zaninetti

The number of galaxies at a given flux as a function of the redshift, $z$, is derived when the $z$-distance relation is non-standard. In order to compare different models, the same formalism is also applied to the standard cosmology. The…

宇宙学与河外天体物理 · 物理学 2015-09-07 L. Zaninetti

We created a catalog of photometric redshift of ~3,000,000 SDSS galaxies annotated by their broad morphology. The photometric redshift was optimized by testing and comparing several pattern recognition algorithms and variable selection…

星系天体物理 · 物理学 2018-06-12 Nicholas Paul , Nicholas Virag , Lior Shamir

We have developed a new geometrical method for identifying and reconstructing a homogeneous and highly complete set of galaxy groups in the next generation of deep, flux-limited redshift surveys. Our method combines information from the…

天体物理学 · 物理学 2009-11-07 Christian Marinoni , Marc Davis , Jeffrey A. Newman , Alison L. Coil

Voronoi diagrams are a fundamental geometric data structure for obtaining proximity relations. We consider collections of axis-aligned orthogonal polyhedra in two and three-dimensional space under the max-norm, which is a particularly…

计算几何 · 计算机科学 2019-08-21 Ioannis Z. Emiris , Christina Katsamaki

Voronoi Tessellations form an attractive and versatile geometrical asymptotic model for the foamlike cosmic distribution of matter and galaxies. In the Voronoi model the vertices are identified with clusters of galaxies. For a substantial…

天体物理学 · 物理学 2007-05-23 Rien van de Weygaert

The aim of this study is to distinguish genuine cosmic voids, found in a galaxy catalog by the void finder ZOBOV-VIDE, from under-dense regions in a Poisson distribution of objects. For this purpose, we perform two multivariate analyses…

宇宙学与河外天体物理 · 物理学 2019-03-14 M. -C Cousinou , A. Pisani , A. Tilquin , N. Hamaus , A. -J Hawken , S. Escoffier

Poisson Voronoi diagrams are useful for modeling and describing various natural patterns and for generating random lattices. Although this particular space tessellation is intensively studied by mathematicians, in two- and three dimensional…

软凝聚态物质 · 物理学 2008-02-20 F. Jarai-Szabo , Z. Neda

We have developed a geometrical method based on 3D Voronoi polyhedra and Delaunay tessellation for identifying and reconstructing clusters of galaxies in the next generation of deep, flux-limited redshift surveys. We here describe this…

天体物理学 · 物理学 2007-05-23 Christian Marinoni , Marc Davis , Jeffrey A. Newman , Alison L. Coil

Stereology allows shifting from the 3D distribution of the volumes of Poissonian Voronoi Diagrams to their 2D cross-sections. The basic assumption is that the 3D statistics of the volumes of the voids in the local Universe has a…

宇宙学与河外天体物理 · 物理学 2012-09-24 L. Zaninetti

We use the void probability statistics to study the redshift-space galaxy distribution as described by a volume-limited subsample of the Perseus-Pisces survey. We compare the results with the same analysis realized on artificial samples,…

天体物理学 · 物理学 2009-10-22 S. Ghigna , S. Borgani , S. Bonometto , L. Guzzo , A. Klypin , J. R. Primack , R. Giovanelli , M. Haynes

The spatial cosmic matter distribution on scales of a few up to more than a hundred Megaparsec displays a salient and pervasive foamlike pattern. Voronoi tessellations are a versatile and flexible mathematical model for such weblike spatial…

天体物理学 · 物理学 2007-07-20 Rien van de Weygaert

We present the preliminary result of our project, consisting in studying the properties of a large sample of galaxy clusters. The M\"{u}nster Red Sky Survey, which is a large galaxy catalogue covering an area of about 5000 square degrees on…

天体物理学 · 物理学 2009-11-10 E. Panko , P. Flin

3D Voronoi's tessellation method was first applied to identify groups of galaxies in the structure of a supercluster. The sample under consideration consists of more than 7000 galaxies of the Local Supercluster (LS) with radial velocities…

天体物理学 · 物理学 2008-11-26 O. V. Melnyk , A. A. Elyiv , I. B. Vavilova

The correlation between the large-scale distribution of galaxies and their spectroscopic properties at z=1.5 is investigated using the Horizon MareNostrum cosmological run. We have extracted a large sample of 10^5 galaxies from this large…

宇宙学与河外天体物理 · 物理学 2015-05-14 C. Gay , C. Pichon , D. Le Borgne , R. Teyssier , T. Sousbie , J. Devriendt

The 2dF Galaxy Redshift Survey (2dFGRS) has produced a three-dimensional map of the distribution of 221,000 galaxies covering 5% of the sky and reaching out to a redshift z=0.3. This is first map of the large-scale structure in the local…

天体物理学 · 物理学 2007-05-23 Matthew Colless

Using a method to correct redshift space distortion (RSD) for individual galaxies, we mapped the real space distributions of galaxies in the Sloan Digital Sky Survey (SDSS) Data Release 7 (DR7). We use an ensemble of mock catalogs to…

宇宙学与河外天体物理 · 物理学 2016-12-28 Feng Shi , Xiaohu Yang , Huiyuan Wang , Youcai Zhang , H. J. Mo , Frank C. van den Bosch , Shijie Li , Chengze Liu , Yi Lu , Dylan Tweed , Lei Yang
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