Theory of Large-Scale Structure: Understanding Non-linearities, Bias, and Systematics in the Baryon Acoustic Oscillations as a Probe of Dark Energy

大尺度结构理论：理解重子声振荡作为暗能量探针的非线性、偏差和系统学

• 批准号: 0807649
• 负责人: Eiichiro Komatsu
• 金额: $ 32.79万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-15 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0807649&HistoricalAwards=false
• 关键词: Theory; Large; Scale; Structure; Understanding

AST-0807649KomatsuThis study will develop theoretical tools to extract the maximum cosmological information from the observed power spectrum of galaxies at high redshifts, obtaining the primordial spectrum on scales and with accuracies not achievable by studies of the cosmic microwave background. These results will have far-ranging implications for a variety of planned and proposed studies, both ground- and space-based. Theoretical work of this sort on non-linear gravitational growth and astrophysical effects was a primary recommendation of the Dark Energy Task Force. The tools to be developed will take into account the key non-linear effects: (a) non-linear matter clustering, (b) non-linear and stochastic galaxy bias, and (c) non-linear redshift space distortion. These effects will be the dominant systematic errors in future dark energy constraints from galaxy surveys. This project will improve the accuracy of perturbation theory, and find the maximum wave-number below which one can use perturbation theory reliably.The work integrates research and education naturally by involving two graduate students in cutting-edge research. The simulation data will provide an attractive and efficient tool for providing research experiences to undergraduate students.

AST-0807649KOMATTUTHIS研究将开发理论工具，从高红移处观察到的星系的功率谱中提取最大的宇宙学信息，从而在尺度上获得原始光谱，并且通过对宇宙微海背景的研究无法实现的准确性。 这些结果将对基于地面和空间的各种计划和拟议的研究具有极大的影响。 这种对非线性重力生长和天体物理效应的理论工作是暗能能委员会的主要建议。 要开发的工具将考虑到关键的非线性效应：（a）非线性物质聚类，（b）非线性和随机星系偏置，以及（c）非线性红移空间变形。 这些效果将是银河调查未来深色能量限制的主要系统错误。 该项目将提高扰动理论的准确性，并找到最大的波浪数，在此过程中可以可靠地使用扰动理论。这项工作通过让两名研究生参与尖端研究来自然地整合研究和教育。 仿真数据将为本科生提供研究经验提供有吸引力，有效的工具。