Galaxy Bias and Cosmology With The Sloan Digital Sky Survey

斯隆数字巡天的星系偏差和宇宙学

• 批准号: 0407125
• 负责人: David Weinberg
• 金额: $ 22.08万
• 依托单位: Ohio State University Research Foundation -DO NOT USE
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-07-01 至 2008-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0407125&HistoricalAwards=false
• 关键词: Galaxy; Bias; Cosmology; Sloan; Digital

AST-0407125WeinbergDramatic improvements in the observational data and advances in the theoretical tools for describing the potentially complex relation between galaxies and mass now allow us to test theories of galaxy formation and cosmological models simultaneously. The theoretical side of this project focuses on the statistics of galaxy clustering and the underpinnings of the halo occupation distribution (HOD) framework. Additional theoretical work will use hydrodynamic and N-body simulations to investigate the dependence on dark matter dynamics and on galaxy type, redshift, and cosmology. Different clustering statistics carry complementary information, and since the combination of a cosmological model with a specified HOD determines all aspects of galaxy clustering, in principle a large redshift survey can reveal the cosmological and galaxy parameters, independently. The techniques developed will be applied to data from the Sloan Digital Sky Survey (SDSS), yielding insights into galaxy formation physics and tightening constraints on cosmological parameters.The most direct broader impacts will come through student training and graduate and undergraduate teaching, but the principal investigator is also involved in public outreach and significant community service. The research will also help to maximize the scientific return from the large investment in the SDSS, a major national resource.

观测数据的巨大改进和用于描述星系和质量之间潜在复杂关系的理论工具的进步，现在使我们能够同时测试星系形成理论和宇宙学模型。这个项目的理论方面侧重于星系团的统计和光环占位分布（HOD）框架的基础。额外的理论工作将使用流体动力学和n体模拟来研究对暗物质动力学、星系类型、红移和宇宙学的依赖。不同的聚类统计具有互补的信息，由于宇宙学模型与特定的HOD结合决定了星系聚类的各个方面，原则上，大型红移调查可以独立地揭示宇宙学和星系参数。开发的技术将应用于斯隆数字巡天（SDSS）的数据，从而深入了解星系形成物理学并收紧对宇宙学参数的限制。最直接、最广泛的影响将来自学生培训、研究生和本科生教学，但首席研究员也参与公共宣传和重要的社区服务。该研究还将有助于从国家主要资源SDSS的大量投资中获得最大的科学回报。