US-India Cooperative Research: Morphological Properties of the Supercluster-Void Network in the Universe

该奖项支持美印合作项目，名为“宇宙中超星系团-空洞网络的形态特性”。堪萨斯大学的美国PI Sergei Shandarin和普纳大学间天文学和天体物理学中心（IUCAA）的Varun Sahni将通过将观测到的宇宙的统计特性与数值模拟的统计特性进行比较，来检验目前关于宇宙结构形成的理论。这是当前宇宙学研究的主要主题之一；合作者在研究宇宙大尺度结构方面已经建立了良好的声誉。pi将使用称为闵可夫斯基泛函的稳健统计度量来量化超簇-空洞网络的几何特性。这项强大的技术将使他们能够确定全球宇宙网的纹理和拓扑结构，以及其各个组成部分的属性——星系团、超星系团和空洞。研究范围：本研究将开发一个由复杂的数值算法组成的软件库，用于研究大型结构的形态和几何特性。它将通过互联网提供给天文学和天体物理学社区。通过这项研究开发的工具有潜力用于物理学家和更大的科学界的大量应用。这项研究是由印度科学技术部（DST）在国家科学基金会/DST联合项目下共同资助的。

0138329ShandarinDescription: This award supports a US-India collaboration entitled Morphological Properties of the Supercluster-Void Network in the Universe. US PI Sergei Shandarin, University of Kansas and Varun Sahni, Inter-University Centre for Astronomy and Astrophysics (IUCAA), Pune will test current theories of cosmological structure formation by comparison of the statistical properties of the observed universe with those of numerical simulations. This is one of the the major themes of current cosmological studies; the collaborators are well-established in studying large-scale structure in the universe. The PIs will quantify the geometrical properties of the supercluster-void network using robust statistical measures called Minkowski functionals. This powerful technique will enable them to determine the texture and topology of the global cosmic web, as well as the properties of its individual components --clusters, superclusters and voids. Scope: The research will develop a software library consisting of sophisticated numerical algorithms for studying morphological and geometrical properties of large scale structures. It will be made available to the astronomy and astrophysics community through the internet. The tools developed through this research have the potential for use in a large number of applications for physicists and the larger scientific community. This research is cofunded by the Indian Department of Science & Technology (DST) under the NSF/DST joint program.