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The Cosmic Foam: Stochastic Geometry and Spatial Clustering across the Universe

机译:宇宙泡沫:随机几何和宇宙中的空间聚类

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Galaxy redshift surveys have uncovered the existence of a salient and pervasive foamlike pattern in the distribution of galaxies on scales of a few up to more than a hundred Megaparsec. The significance of this frothy morphology of cosmic structure has been underlined by the results of computer simulations. These suggest the observed cellular patterns to be a prominent and natural aspect of cosmic structure formation for a large variety of scenarios within the context of the gravitational instability theory of cosmic structure formation. We stress the importance of stochastic geometry as a branch of mathematical statistics particularly suited to model and investigate nontrivial spatial patterns. One of its key concepts, Voronoi tessellations, represents a versatile and flexible mathematical model for foamlike patterns. Based on a seemingly simple definition, Voronoi tessellations define a wealthy stochastic network of interconnected anisotropic components, each of which can be identified with the various structural elements of the cosmic galaxy distribution. The usefulness of Voronoi tessellations is underlined by the fact that they appear to represent a natural asymptotic situation for a range of gravitational instability scenarios of structure formation in which void-like regions are prominent. Here we describe results of an ongoing thorough investigation of a variety of aspects of cosmologically relevant spatial distributions and statistics within the framework of Voronoi tessellations. Particularly enticing is the recent finding of a profound scaling of both clustering strength and clustering extent for the distribution of tessellation nodes, suggestive for the clustering properties of galaxy clusters. This is strongly suggestive of a hitherto unexpected fundamental and profound property of foamlike geometries. In a sense, cellular networks may be the source of an intrinsic "geometrically biased" clustering.
机译:Galaxy Redshift调查已经发现,在几乎超过一百兆帕尔斯的尺度上的星系分布中发现了突出和普遍的泡沫状模式。计算机模拟结果强调了这种粗糙的宇宙结构形态的重要性。这些表明观察到的细胞模式是宇宙结构形成的宇宙结构形成的突出和自然方面,以在宇宙结构形成的引力不稳定理论的上下文中进行大量情景。我们强调随机几何的重要性,作为数学统计分支的分支,特别适合模型,调查非动力空间模式。其关键概念之一,Voronoi曲面图,代表了Foamlike模式的多功能和灵活的数学模型。基于看似简单的定义,voronoi曲面细分定义了互连各向异性组分的富型随机网络,每个组件可以用宇宙星系分布的各种结构元件识别。 Voronoi曲面细分的有用性强调,因为它们似乎代表了一系列重力不稳定场景的天然渐近情况,其中空隙状地区突出。在这里,我们描述了持续的彻底调查了voronoi曲面细分框架内的宇宙相关空间分布和统计数据各种方面的结果。特别是诱惑是最近发现聚类强度和聚类范围的深刻缩放,以便为曲面细胞节点分布,暗示Galaxy集群的聚类性质。这是强烈暗示泡沫状几何形状的意想不到的意想不到的基本和深刻性质。从某种意义上,蜂窝网络可以是内在“几何偏置”聚类的源。

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