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Tessellation Analysis of the Cosmic Web

机译:宇宙网的细分分析

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The large scale distribution of matter and galaxies features a complex network of interconnected filamentary galaxy associations. This network, which has become known as the Cosmic Web. contains structures from a few megaparsecs up to tens and even hundreds of Megaparsecs of size1. Galaxies and mass exist in a wispy weblike spatial arrangement consisting of dense compact clusters, elongated filaments, and sheetlike walls, amidst large near-empty void regions. An important additional aspect of this mass distribution is that it is marked by substructure over a wide range of scales and densities. The vast Megaparsec cosmic web is one of the most striking examples of complex geometric patterns found in nature, and certainly the largest in terms of sheer size. The overwhelming complexity of both the individual structures as well as their connectivity, the lack of structural symmetries, the intrinsic multiscale nature and the wide range of densities that one finds in the cosmic matter distribution has prevented the use of simple and straightforward instruments. In this lecture, I describe the considerable advances that have been made over the past decade towards unravelling the structure of the Cosmic Web, enabled by a range of tools and concepts from computational geometry and computational topology. This will include our own work, in which Voronoi and Delaunay tessellations figure prominently through their high sensitivity to density and local shape of the local galaxy distribution, or particle distribution in the ease of computer simulations of cosmic structure formation. It has led to the development of the Delaunay Tessellation Field Estimator (DTFE) formalism, which forms the basis of a range of techniques to identify different aspects of the Cosmic Web [1]. Examples are the Watershed Void Finder to trace voids, the Nexus multiscale morphology formalism and the Morse-based SpineWeb formalism to find walls, filaments and clusters. Recently, we used alpha shapes to study the multiscale topology of the Cosmic Web, in terms of Betti numbers and persistence diagrams. I will also review a number of other astronomical applications of tesssellations, motivated by their quickly proliferaating use in astrophysics and cosmology.
机译:物质和星系的大规模分布具有相互联系的丝状星系关联的复杂网络。该网络已被称为Cosmic Web。包含从几兆微秒到几十甚至几百兆大小的结构。星系和质量存在于稀疏的网状空间排列中,由密集的密集星团,细长的细丝和片状壁组成,位于大的近空的空隙区域中。这种质量分布的一个重要的附加方面是,它的特征是在各种尺度和密度范围内的子结构。巨大的Megaparsec宇宙网是自然界发现的最复杂几何图案的最显着例子之一,而且绝对是最大的。单个结构的巨大复杂性及其连通性,结构对称性的缺乏,固有的多尺度性质以及人们在宇宙物质分布中发现的广泛的密度阻碍了简单,直接仪器的使用。在本讲座中,我描述了过去十年在揭开Cosmic Web结构方面所取得的巨大进步,其中包括来自计算几何和计算拓扑的一系列工具和概念。这将包括我们自己的工作,其中Voronoi和Delaunay镶嵌通过对密度和局部星系分布的局部形状(或粒子分布)的高度敏感性而突出地显示出来,从而易于通过计算机模拟宇宙结构的形成。它导致了Delaunay细分曲面估计器(DTFE)形式主义的发展,该形式主义构成了用于识别Cosmic Web不同方面的一系列技术的基础[1]。例如,可以使用Watershed Void Finder来跟踪空隙,可以使用Nexus多尺度形态学形式,也可以使用基于Morse的SpineWeb形式学来查找壁,细丝和簇。最近,根据贝蒂数和持久性图,我们使用Alpha形状研究了Cosmic Web的多尺度拓扑。我还将回顾其在天体物理学和宇宙学中迅速应用的动机。

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