MSPA: Bayesian Cosmostatistics

AST-0507676 Wandelt该项目将开发用于大数据集统计分析的突破性工具。我们的想法是建立一种无损但可行的方式，将原始数据与潜在的宇宙学和天体物理学上的重要信息联系起来，这些信息将以一种易于交流的形式呈现出来，所有人都可以访问。来自互补数据集的信息将在检验当前标准宇宙学的荟萃分析中结合起来。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，引力透镜和大规模结构。工作包括与研究计划紧密结合的共生和多方面的扩展计划，该计划包括本科生和研究生，通过WWW门户分享想法、结果和代码，并向非宇宙学专家提供信息，同时提供通过分布式计算努力积极贡献的机会。这项研究应该能够进行目前无法想象的分析，提供一个重要的新的宇宙学知识资源，并有助于揭示将推动宇宙学下一次重大进步的信息。

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.