MSPA: Bayesian Cosmostatistics

MSPA：贝叶斯宇宙统计

• 批准号: 0507676
• 负责人: Benjamin Wandelt
• 金额: $ 32.67万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-07-01 至 2008-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0507676&HistoricalAwards=false
• 关键词: MSPA; Bayesian; Cosmostatistics

AST-0507676WandeltThis project will develop groundbreaking tools for the statistical analysis of large data sets. The idea is to build a lossless, yet feasible, way to link raw data to the underlying cosmologically and astrophysically important information, which will be represented in an easily communicable form, accessible to all. Information from complementary data sets will be combined in a meta-analysis that tests the current standard cosmology. Although the present focus is on cosmic microwave background data sets, the range of possible applications is much broader, including, for example, gravitational lensing and large scale structure.The work includes a symbiotic and multifaceted outreach program, tightly integrated with the research plan, which includes undergraduates and graduates, shares ideas, results and codes through a WWW portal, and also informs the non-expert about cosmology while offering an opportunity to contribute actively through a distributed computing effort. This research should enable currently unimaginable analyses, provide a major new resource of cosmological knowledge, and help to reveal the information that will drive the next great advances in cosmology.

这个项目将为大型数据集的统计分析开发突破性的工具。这个想法是建立一种无损的，但可行的方式，将原始数据与潜在的宇宙学和天体物理学重要信息联系起来，这些信息将以一种易于交流的形式表示，所有人都可以访问。来自互补数据集的信息将被整合到一个统合分析中，以测试当前的标准宇宙论。虽然目前的重点是宇宙微波背景数据集，但可能的应用范围要广泛得多，例如包括引力透镜和大尺度结构。这项工作包括一个共生的、多方面的推广项目，与研究计划紧密结合，包括本科生和研究生，通过WWW门户网站分享想法、结果和代码，并向非专业人士介绍宇宙学，同时提供一个通过分布式计算努力积极贡献的机会。这项研究将使目前难以想象的分析成为可能，为宇宙学知识提供一个重要的新资源，并有助于揭示将推动宇宙学下一个巨大进步的信息。