Cosmology with the galaxy bispectrum: galaxy bias, redshift-space distortion, and primordial non-Gaussianity

星系双谱的宇宙学：星系偏差、红移空间畸变和原初非高斯性

• 批准号: 1517363
• 负责人: Donghui Jeong
• 金额: $ 48.37万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2019-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1517363&HistoricalAwards=false
• 关键词: Cosmology; galaxy; bispectrum; bias; redshift

Understanding the growth and evolution of structure in the Universe is a key component of developing an accurate model of the Universe as a whole. In order to do this, large surveys of galaxies are needed. The goal of this research is to develop new analysis/interpretation tools for current and future large-scale cosmological galaxy surveys such as HETDEX (Hobby-Eberly Telescope Dark Energy Experiment) and eBOSS (Extended Baryon Oscillation Spectroscopic Survey). Broader impacts of the work include training of two graduate students and a postdoc, and development of a new presentation focusing on the large-scale structure of the Universe for the outreach program of the Department of Astronomy & Astrophysics at Penn State.The research will emphasize the galaxy bispectrum, the Fourier transform of the galaxy three-point correlation function, to constrain primordial non-Gaussianity and the non-linear physics of structure growth. Three projects are proposed, including an investigation of the accuracy of theoretical predictions based on many different forms of advanced perturbation theory compared to N-body simulations, a detailed analysis of survey window functions, and analytic approximations for covariance matrices.

了解宇宙中结构的生长和演化是建立一个准确的宇宙整体模型的关键组成部分。为了做到这一点，需要对星系进行大规模的调查。这项研究的目标是为目前和未来的大规模宇宙星系观测开发新的分析/解释工具，如Hetdex(Hobby-Eberly望远镜暗能量实验)和EBOSS(扩展重子振荡光谱测量)。这项工作的更广泛影响包括培训两名研究生和一名博士后，并为宾夕法尼亚州立大学天文与天体物理学系的外展项目开发了一种新的以宇宙大尺度结构为重点的演示文稿。研究将侧重于星系双谱，星系三点关联函数的傅里叶变换，以约束原始的非高斯性和结构增长的非线性物理。提出了三个项目，包括调查基于许多不同形式的高级微扰理论的理论预测的准确性，并与N体模拟进行比较，详细分析调查窗口函数，以及协方差矩阵的解析近似。