No Mode Left Behind: New Methods for Precision Cosmology

不遗余力：精密宇宙学的新方法

• 批准号: 2009291
• 负责人: Jeremy Tinker
• 金额: $ 43.59万
• 依托单位: New York University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-07-01 至 2025-05-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2009291&HistoricalAwards=false
• 关键词: No; Mode; Left; Behind; New

The large scale structure of the universe includes clusters of galaxies. The size of these clusters and the spacing of galaxies within the clusters depends on the nature of dark matter. This project will use computers and artificial intelligence to model the growth of this large scale structure, using a new method that will produce more detailed models over a wider range of dark matter conditions. These models can be compared with observations of galaxy clusters to improve our understanding of dark matter. These models also will be used to produce videos for public outreach and education. Users will be able to "fly through" the universe to visualize the large scale structure. The project will develop an emulator that can reproduce expected large scale structure properties for a particular parameter set based on full N-body simulations of neighboring parameters sets within parameter space. Thus, the more computationally expensive high-resolution simulations can done over a sparse set of parameters and then the emulator will be able to fill in the rest of parameter space. The higher resolution of the large scale structure models will allow current and future surveys to probe scales at the sub-megaparsec level, instead of the current resolutions of ~10 Mpc. The project will use the data from these simulations to produce "fly-through" 3 dimensional visualizations of large scale structure for use in public outreach and education.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

宇宙的大尺度结构包括星系团。这些星系团的大小和星系团内星系的间距取决于暗物质的性质。该项目将使用计算机和人工智能来模拟这种大规模结构的增长，使用一种新方法，在更广泛的暗物质条件下产生更详细的模型。这些模型可以与星系团的观测进行比较，以提高我们对暗物质的理解。这些模型还将用于制作用于公共宣传和教育的视频。 用户将能够“飞越”宇宙，以可视化大规模的结构。该项目将开发一个仿真器，可以再现预期的大尺度结构特性的一个特定的参数集的基础上，在参数空间内的相邻参数集的完整N体模拟。因此，可以在稀疏的参数集上进行计算成本更高的高分辨率仿真，然后仿真器将能够填充其余的参数空间。大尺度结构模型的更高分辨率将使当前和未来的调查能够在亚百万秒差距水平上探测尺度，而不是目前的分辨率~10 Mpc。该项目将使用这些模拟的数据来制作大型结构的“飞越”三维可视化，用于公共宣传和教育。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: measurement of the growth rate of structure from the small-scale clustering of the luminous red galaxy sample

已完成的SDSS-IV扩展重子振荡光谱巡天：测量发光红色星系样本小规模聚类的结构增长率

• DOI: 10.1093/mnras/stac1923
• 发表时间: 2022
• 期刊: Monthly Notices of the Royal Astronomical Society
• 影响因子: 4.8
• 作者: Chapman, Michael J.;Mohammad, Faizan G.;Zhai, Zhongxu;Percival, Will J.;Tinker, Jeremy L.;Bautista, Julian E.;Brownstein, Joel R.;Burtin, Etienne;Dawson, Kyle S.;Gil-Marín, Héctor
• 通讯作者: Gil-Marín, Héctor