Collaborative Research: Shedding Light on the Complex and Covariant Properties of Massive Halos with Theory and Observations

合作研究：通过理论和观测揭示大质量晕的复杂和协变特性

• 批准号: 2206695
• 负责人: Benedikt Diemer
• 金额: $ 34.53万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2025-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2206695&HistoricalAwards=false
• 关键词: Collaborative; Research; Shedding; Light; Complex

The most promising place to learn about the nature of dark matter is in the densest objects it forms, which are called "halos." As dark matter is invisible, however, it is challenging to infer even the simplest properties of halos, such as their total mass. We know of various observable indicators that (imperfectly) correlate with mass, including the stars of the galaxies in a halo, the bending of light around it, and the imprint of gas on background light from the early Universe. The difficulty has been to combine the information from these indicators because the different types of observations were typically available for different parts of the sky. With new, overlapping surveys, we can now combine different observables for the same halos. This observer-theorist collaboration between scientists at the University of Maryland, College Park and the University of California, Santa Cruz, will develop a framework to interpret combined observables based on some of the largest supercomputer simulations of the formation of halos and galaxies and on fast machine learning techniques. The team will apply this framework to a unique combination of survey data that they have access to. This project will also support Latinx STEM students at UC Santa Cruz via the newly created Seed Spoon Science program, which relies on the cultural practices of growing and cooking food to create a long-term mentoring community.The mass and density structure of cluster halos contain a wealth of cosmological and physical information, but they must be inferred from imperfect observational tracers such as the stars from central and satellite galaxies, the Sunayev-Zel’dovich signal from gas, and weak lensing. The new era of large, overlapping sky surveys now makes it possible to combine multi-wavelength observables for the same cluster halos, but to do so we need to understand their complex covariances. This project proposes to develop a theoretical and practical framework for interpreting panchromatic observations based on some of the largest simulations of structure formation, on flexible physical models, and on fast machine learning techniques. The team will apply this framework to the overlapping Dark Energy Spectroscopic Instrument (DESI), Atacama Cosmology Telescope (ACT), Dark Energy Camera Legacy Survey (DECaLS), and Hyper Suprime-Cam (HSC) footprints in order to observationally constrain the covariance of dark matter halo properties for galaxy clusters.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.

了解暗物质本质的最有希望的地方是它形成的最密集的物体，称为“光晕”。但是，由于暗物质是看不见的，因此即使是光环的最简单特性，例如它们的总质量也是如此。我们知道各种可观察的指标（不完美）与质量相关，包括光环中星系的星星，周围的光的弯曲以及早期宇宙背景光的气体烙印。很难将这些指标的信息结合起来，因为通常用于天空不同部分的不同类型的观测值。通过新的重叠调查，我们现在可以将不同的观察者组合在一起，以解决相同的光晕。马里兰州大学公园和加利福尼亚大学圣克鲁斯分校的科学家之间的这一观察者理论家合作将开发一个框架，以基于一些最大的超级计算机模拟来解释组合观察者，以形成光环和星系以及快速机器学习技术。团队将将此框架应用于他们可以访问的独特调查数据组合。 This project will also support Latinx STEM students at UC Santa Cruz via the newly created Seed Spoon Science program, which relies on the cultural practices of growing and cooking food to create a long-term mentaling community.The mass and density structure of cluster halos contain a Wealth of cosmological and physical information, but they must be inferred from imperfect observational tracers such as the stars from central and satellite galaxies, the Sunayev-Zel’dovich signal from gas,和弱镜头。现在，大型，重叠的天空调查的新时代使得可以结合相同集群光环的多波长观测值，但要这样做，我们需要了解它们的复杂协方差。该项目的建议是开发一个理论和实用的框架，用于根据一些最大的结构形成模拟，灵活的物理模型以及快速机器学习技术来解释全球观测。该团队将将此框架应用于重叠的黑暗能源仪器（DESI），Atacama宇宙学望远镜（ACT），Dark Energy Camera Legacy调查（datals）和超级摄像机（HSC）足迹，以观察到可观察使用基金会的智力优点和更广泛的影响评估标准进行评估。