The Interscale Galactic Nuclei Simulations (IGNIS): Hyper-refined black hole growth and feedback in cosmological environments
跨尺度星系核模拟(IGNIS):宇宙环境中超精细的黑洞生长和反馈
基本信息
- 批准号:2009687
- 负责人:
- 金额:$ 30.97万
- 依托单位:
- 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:2020-09-01 至 2023-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This project will create simulations of the growth of galaxies and supermassive black holes over cosmic time. The simulations produced as part of this project will use techniques that provide much higher resolution of the inner regions of galaxies where gas is falling into the central supermassive black hole and emitting radiation that influences the rate at which gas can continue to fall in. The increased resolution allows for more accurate modeling of the physics involved in the interaction between gas in the galaxy and the growth of the supermassive black hole. The project will also use these simulations to train undergraduate students in developing visualizations from large data sets. These students will be drawn from populations that are underrepresented in the sciences.The project will perform high resolution cosmological hydrodynamic simulations of the growth of galaxies. It will incorporate better multi-phase gas physics from the interstellar medium of galaxies along with explicit treatments of black hole growth and feedback on sub-parsec scales comparable to the size of the accretion disk. The simulations will be done using a novel hyper-Lagrangian refinement technique that increases the resolution dramatically near the black hole. The simulations will help to identify the mechanisms responsible for gas transport across large scales and eventually fueling AGN. They will improve our understanding of the impact of accretion-disk winds and radiative AGN feedback prescriptions for larger scale cosmological simulations, and will help to interpret galaxy and massive black hole observables across redshifts. The project will involve undergraduates and graduates directly in the research and will support undergraduates in a program that will recruit underrepresented groups to work on developing Python-based visualizations of the results of the project.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.
这个项目将模拟星系和超大质量黑洞在宇宙时间内的增长。作为该项目的一部分,模拟将使用的技术将提供更高分辨率的星系内部区域,在那里气体正在落入中央超大质量黑洞,并释放影响气体继续落入黑洞的速度的辐射。增加的分辨率允许更准确地建模涉及星系中气体和超大质量黑洞生长之间相互作用的物理。该项目还将使用这些模拟来训练本科生从大型数据集开发可视化。这些学生将来自科学领域代表性不足的人群。该项目将对星系的成长进行高分辨率的宇宙流体动力学模拟。它将结合来自星系星际介质的更好的多相气体物理学,以及对黑洞生长的明确处理和与吸积盘大小相当的亚秒差距尺度的反馈。模拟将使用一种新的超拉格朗日改进技术来完成,该技术可以显著提高黑洞附近的分辨率。模拟将有助于确定负责气体在大尺度上传输并最终为AGN提供燃料的机制。它们将提高我们对吸积盘风和辐射AGN反馈处方的影响的理解,用于更大规模的宇宙学模拟,并将有助于解释星系和大质量黑洞的红移观测结果。该项目将让本科生和毕业生直接参与研究,并将支持本科生参与一个项目,该项目将招募代表性不足的群体来开发基于python的项目结果可视化。该奖项反映了美国国家科学基金会的法定使命,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
期刊论文数量(30)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Running late: testing delayed supermassive black hole growth models against the quasar luminosity function
迟到:根据类星体光度函数测试延迟的超大质量黑洞生长模型
- DOI:10.1093/mnras/stac398
- 发表时间:2022
- 期刊:
- 影响因子:4.8
- 作者:Tillman, Megan Taylor;Wellons, Sarah;Faucher-Giguère, Claude-André;Kelley, Luke Zoltan;Anglés-Alcázar, Daniel
- 通讯作者:Anglés-Alcázar, Daniel
Bringing faint active galactic nuclei (AGNs) to light: a view from large-scale cosmological simulations
揭示微弱的活动星系核(AGN):大规模宇宙学模拟的视角
- DOI:10.1093/mnras/stab2863
- 发表时间:2021
- 期刊:
- 影响因子:4.8
- 作者:Schirra, Adrian P;Habouzit, Mélanie;Klessen, Ralf S;Fornasini, Francesca;Nelson, Dylan;Pillepich, Annalisa;Anglés-Alcázar, Daniel;Davé, Romeel;Civano, Francesca
- 通讯作者:Civano, Francesca
Supermassive black holes in cosmological simulations - II: the AGN population and predictions for upcoming X-ray missions
宇宙学模拟中的超大质量黑洞 - II:活动星系核数量和对即将到来的 X 射线任务的预测
- DOI:10.1093/mnras/stab3147
- 发表时间:2022
- 期刊:
- 影响因子:4.8
- 作者:Habouzit M
- 通讯作者:Habouzit M
Neutral CGM as damped Ly α absorbers at high redshift
中性 CGM 作为高红移处的阻尼 Lyα 吸收体
- DOI:10.1093/mnras/stab2240
- 发表时间:2021
- 期刊:
- 影响因子:4.8
- 作者:Stern, Jonathan;Sternberg, Amiel;Faucher-Giguère, Claude-André;Hafen, Zachary;Fielding, Drummond;Quataert, Eliot;Wetzel, Andrew;Anglés-Alcázar, Daniel;El-Badry, Kareem;Kereš, Dušan
- 通讯作者:Kereš, Dušan
Virialization of the Inner CGM in the FIRE Simulations and Implications for Galaxy Disks, Star Formation, and Feedback
FIRE 模拟中内部 CGM 的虚拟化及其对星系盘、恒星形成和反馈的影响
- DOI:10.3847/1538-4357/abd776
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Stern, Jonathan;Faucher-Giguère, Claude-André;Fielding, Drummond;Quataert, Eliot;Hafen, Zachary;Gurvich, Alexander B.;Ma, Xiangcheng;Byrne, Lindsey;El-Badry, Kareem;Anglés-Alcázar, Daniel
- 通讯作者:Anglés-Alcázar, Daniel
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Daniel Angles-Alcazar其他文献
Daniel Angles-Alcazar的其他文献
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{{ truncateString('Daniel Angles-Alcazar', 18)}}的其他基金
Collaborative Research: CDS&E: Cosmology and Astrophysics with MachinE Learning Simulations (CAMELS) to maximize the science return of next generation cosmological experiments
合作研究:CDS
- 批准号:
2108944 - 财政年份:2021
- 资助金额:
$ 30.97万 - 项目类别:
Standard Grant
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