Collaborative Research: Voids and Void Galaxies

合作研究：空洞和空洞星系

• 批准号: 0071201
• 负责人: Michael Vogeley
• 金额: $ 24.39万
• 依托单位: Drexel University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-06-01 至 2004-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0071201&HistoricalAwards=false
• 关键词: Collaborative; Research; Voids; Void; Galaxies

ABSTRACTVogeleyAST-0071201This is a collaborative research project with Renyue Cen at Princeton University (AST0071153). The goal of this research is to construct detailed models (using an Adaptive Mesh Refinement code which allows for finer spatial resolution than previous models) of voids and their constituent galaxies and compare these models with data from the Sloan Digital Sky Survey (SDSS). These comparisons will then be used to set constraints on different cosmological models, the structure and dynamics of voids, and to investigate how galaxies form and evolve in a low density environment. The investigators propose to study the lowest density regions of the universe (called Voids). Voids play a critical role in the evolution of large scale structure and galaxy formation in the universe, yet they are poorly understood and poorly studied.The proposors will conduct theoretical computer modeling of void formation and test these models by comparing them with observations of galaxy densities and spatial distributions obtained from the Sloan Digital Sky Survey. Since these computer models will each depend on input parameters which are different for different types of cosmology, the comparison will help identify which cosmological models are correct. Funding for this project was provided by the NSF program for Extragalactic Astronomy & Cosmology (AST/EXC).***

这是与普林斯顿大学岑仁跃合作的研究项目（AST 0071153）。这项研究的目标是构建详细的模型（使用自适应网格细化代码，允许更精细的空间分辨率比以前的模型）的空隙和它们的组成星系，并比较这些模型与数据从斯隆数字巡天（SDSS）。 然后，这些比较将用于对不同的宇宙学模型、空洞的结构和动力学设置约束，并研究星系如何在低密度环境中形成和演化。研究人员建议研究宇宙中密度最低的区域（称为空洞）。空洞在宇宙大尺度结构演化和星系形成中发挥着至关重要的作用，但人们对它们的了解和研究却很少。提议者将对空洞形成进行理论计算机建模，并通过将其与斯隆数字巡天获得的星系密度和空间分布的观测结果进行比较来测试这些模型。由于这些计算机模型都依赖于不同类型宇宙学的不同输入参数，因此比较将有助于确定哪些宇宙学模型是正确的。该项目的资金由美国国家科学基金会的河外天文宇宙学计划（AST/EXC）提供。