Collaborative Research: Exploring the physics of galaxy clusters with comprehensive cosmological simulations

合作研究：通过全面的宇宙学模拟探索星系团的物理学

• 批准号: 1814053
• 负责人: Mark Vogelsberger
• 金额: $ 26.99万
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-15 至 2022-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1814053&HistoricalAwards=false
• 关键词: Collaborative; Research; Exploring; physics; galaxy

Galaxy clusters are some of the largest known structures in the universe. Modeling their growth over the age of the universe will give us insight on how matter, energy, and the laws of physics influence the universe that we see today. This project will add some more details to the computer modeling to provide better approximations to the physics governing the behavior of the gas in galaxy clusters. The results of these new models will be simulations that can be used by other researchers who are studying galaxies and galaxy clusters.Galaxy clusters are some of the largest structures in the universe. Modeling their growth over cosmological time scales gives us insight on how dark matter, ordinary matter, and the laws of physics influence the universe that we see today. The proposed project will add more detailed physics in the form of magnetic fields, anisotropic thermal conduction, and radiative feedback from active galactic nuclei (AGN). The project will use a moving mesh code known as AREPO to perform these simulations. The simulations will follow the IllustrisTNG cosmological models with the added physics. Zoom-ins of clusters will be used to compare the effects of the new physics models and to make observational predictions for future ground and space-based observatories. At the end of the project, the data and simulations will be made publicly available.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.

星系团是宇宙中已知的最大结构之一。模拟它们在宇宙年龄中的增长将使我们了解物质，能量和物理定律如何影响我们今天看到的宇宙。该项目将为计算机建模添加更多的细节，以提供更好的近似物理控制星系团中气体的行为。这些新模型的结果将被其他研究星系和星系团的研究人员所使用。星系团是宇宙中最大的结构之一。在宇宙学时间尺度上对它们的生长进行建模，使我们能够深入了解暗物质、普通物质和物理定律如何影响我们今天所看到的宇宙。拟议的项目将以磁场、各向异性热传导和活动星系核（AGN）辐射反馈的形式增加更详细的物理学。该项目将使用称为AREPO的移动网格代码来执行这些模拟。模拟将遵循具有附加物理的IllustrisTNG宇宙学模型。将使用星团放大图来比较新的物理模型的效果，并对未来的地面和空间观测站进行观测预测。该奖项反映了NSF的法定使命，并通过使用基金会的知识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

High-redshift JWST predictions from IllustrisTNG: dust modelling and galaxy luminosity functions

IllustrisTNG 的高红移 JWST 预测：尘埃建模和星系光度函数

• DOI: 10.1093/mnras/staa137
• 发表时间: 2020
• 期刊: Monthly Notices of the Royal Astronomical Society
• 影响因子: 4.8
• 作者: Vogelsberger, Mark;Nelson, Dylan;Pillepich, Annalisa;Shen, Xuejian;Marinacci, Federico;Springel, Volker;Pakmor, Rüdiger;Tacchella, Sandro;Weinberger, Rainer;Torrey, Paul
• 通讯作者: Torrey, Paul

Simulating the interstellar medium and stellar feedback on a moving mesh: implementation and isolated galaxies

• DOI: 10.1093/mnras/stz2391
• 发表时间: 2019-05
• 期刊: Monthly Notices of the Royal Astronomical Society
• 影响因子: 4.8
• 作者: F. Marinacci;L. Sales;M. Vogelsberger;P. Torrey;V. Springel

Morphology and star formation in IllustrisTNG: the build-up of spheroids and discs

• DOI: 10.1093/mnras/stz1657
• 发表时间: 2019-04
• 期刊: Monthly Notices of the Royal Astronomical Society
• 影响因子: 4.8
• 作者: S. Tacchella;B. Diemer;L. Hernquist;S. Genel;F. Marinacci;D. Nelson;A. Pillepich;V. Rodriguez-Gomez-V.-Rodriguez

Dust in and around galaxies: dust in cluster environments and its impact on gas cooling

星系内部和周围的尘埃：星团环境中的尘埃及其对气体冷却的影响

• DOI: 10.1093/mnras/stz1644
• 发表时间: 2019
• 期刊: Monthly Notices of the Royal Astronomical Society
• 影响因子: 4.8
• 作者: Vogelsberger, Mark;McKinnon, Ryan;O’Neil, Stephanie;Marinacci, Federico;Torrey, Paul;Kannan, Rahul
• 通讯作者: Kannan, Rahul

Effects of initial density profiles on massive star cluster formation in giant molecular clouds

• DOI: 10.1093/mnras/stab491
• 发表时间: 2020-05
• 期刊: Monthly Notices of the Royal Astronomical Society
• 影响因子: 4.8
• 作者: Yingtian Chen;Hui Li;M. Vogelsberger