The Interscale Galactic Nuclei Simulations (IGNIS): Hyper-refined black hole growth and feedback in cosmological environments

该项目将创建星系和超大质量黑洞在宇宙时间内增长的模拟。作为该项目的一部分，这些模拟将使用更高分辨率的技术，对星系内部区域提供更高的分辨率，在这些区域，气体正在落入中央超大质量黑洞，并发出影响气体继续落入的速率的辐射。分辨率的提高允许对星系中气体和超大质量黑洞增长之间的相互作用所涉及的物理进行更准确的建模。该项目还将使用这些模拟来培训本科生从大数据集开发可视化。这些学生将来自科学界代表性不足的人群。该项目将对星系的生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，以及对黑洞增长的明确处理，以及与吸积盘大小相当的亚秒级反馈。模拟将使用一种新的超拉格朗日精化技术来完成，该技术可以显著提高黑洞附近的分辨率。这些模拟将有助于确定气体在大范围内传输并最终为AGN提供燃料的机制。它们将改善我们对吸积盘风和辐射活动星系核反馈处方的影响的理解，用于更大规模的宇宙模拟，并将有助于解释星系和大质量黑洞的红移观测。该项目将让本科生和毕业生直接参与研究，并将在一个项目中支持本科生，该项目将招募代表不足的群体，致力于开发基于Python的项目结果可视化。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

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.