Collaborative Research: Photons from Binary Black Hole Inspirals

合作研究：来自二元黑洞螺旋的光子

• 批准号: 1811228
• 负责人: Manuela Campanelli
• 金额: $ 0.82万
• 依托单位: Rochester Institute of Tech
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-08-01 至 2019-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1811228&HistoricalAwards=false
• 关键词: Collaborative; Research; Photons; Binary; Black

Every large galaxy contains a supermassive black hole in its center. Galaxies merge from time to time, therefore it is expected, but not yet demonstrated, that recently merged galaxies hold two large black holes, which eventually form a bound pair and later merge. It is generally expected that supermassive black hole binaries can often accumulate sizable quantities of gas, and therefore be bright for a significant time before and during the merge, as well as the relaxation period there after. However, because it is estimated that there are only very few such mergers per year in the entire Universe, understanding the specific features to search for is required to discover them. A team of researchers and graduate students from the Rochester Institute of Technology (RIT), Johns Hopkins University (JHU), and the University of Tulsa (TU) propose to use the Blue Waters supercomputer to perform the first realistic simulations of gas surrounding supermassive binary black holes on route to merger. These simulations will provide predictions of light and timing signatures emitted by supermassive black hole mergers in order to allow for their observational discovery.The focus of this project is to define the features that identify the process of supermassive black hole mergers, using large-scale numerical simulations that assume astrophysically relevant initial conditions and include all the principal relevant physics: magnetohydrodynamics, general relativity, and radiation transfer. These simulations are extremely challenging computationally because of the complexity of the physics involved. However, the project introduces two significant computation innovations: a time-dependent high-order post-Newtonian spacetime to substitute for explicit solution of the Einstein Field Equations and a multipatch scheme to coordinate separate treatment of regions with contrasting grid requirements. In addition to the simulation activities, the project is expected to create opportunities to integrate many existing research programs into a larger community of scientists, students, and the general public. It will foster cross-disciplinary collaboration among undergraduate students, graduate students, postdoctoral researchers and faculty at RIT, JHU and TU. Through this network, previous highly successful outreach programs will be able to reach an even larger and more diverse audience, and will provide many more opportunities for students to interact and collaborate with researchers outside their home institutions. It will also result in educating a number of graduate students and post-docs in the techniques of very large-scale computation, which will be important skills for their future careers.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.

每个大型星系都在其中心包含一个超大型黑洞。 星系会不时合并，因此，最近合并的星系有两个大孔，最终形成了一个绑定的一对，后来合并。通常，预期的是，超级黑洞二进制物通常会积聚大量的气体，因此在合并之前和合并期间以及之后的放松期间都有很大的时间。 但是，由于据估计，整个宇宙中每年只有很少的合并，因此要搜索要搜索的特定功能才能发现它们。来自罗切斯特理工学院（RIT），约翰·霍普金斯大学（JHU）和塔尔萨大学（TU）的研究人员和研究生团队提议使用Blue Waters Super Computer执行对围绕超级大规模的二元黑色孔的天然气模拟。 These simulations will provide predictions of light and timing signatures emitted by supermassive black hole mergers in order to allow for their observational discovery.The focus of this project is to define the features that identify the process of supermassive black hole mergers, using large-scale numerical simulations that assume astrophysically relevant initial conditions and include all the principal relevant physics: magnetohydrodynamics, general relativity, and radiation transfer. 由于所涉及的物理学的复杂性，这些模拟在计算上非常具有挑战性。但是，该项目介绍了两项重要的计算创新：依赖时间的高级后纽顿时空，替代了爱因斯坦田间方程的显式解决方案，以及一种多andate方案，以协调对相比鲜明的电网要求的区域的单独处理。 除了模拟活动外，该项目还有望创造机会，将许多现有的研究计划融入一个更大的科学家，学生和公众社区。它将在本科生，研究生，博士后研究人员和RIT，JHU和TU的教师之间培养跨学科的合作。通过这个网络，以前的非常成功的外展计划将能够吸引更大，更多样化的受众，并为学生提供更多机会，让学生与家庭机构以外的研究人员进行互动和合作。这也将导致在非常大规模计算的技术中教育许多研究生和毕业后，这将是其未来职业的重要技能。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子优点和更广泛的影响审查标准通过评估来通过评估来支持的。

项目成果

Circumbinary Disk Accretion into Spinning Black Hole Binaries

• DOI: 10.3847/1538-4357/abf0af
• 发表时间: 2021-01
• 期刊: The Astrophysical Journal
• 作者: F. L. Lopez Armengol;L. Combi;M. Campanelli;S. Noble;J. Krolik;Dennis B. Bowen;M. Avara;V. Mewes;H. Nakano

Measuring the Hubble Constant with GW190521 as an Eccentric black hole Merger and Its Potential Electromagnetic Counterpart

• DOI: 10.3847/2041-8213/abe388
• 发表时间: 2021-02
• 期刊: The Astrophysical Journal Letters
• 作者: V. Gayathri;J. Healy;J. Lange;B. O'Brien;M. Szczepańczyk;I. Bartos;M. Campanelli;S. Klimenko;C. Lousto;R. O’Shaughnessy

Minidisk Accretion onto Spinning Black Hole Binaries: Quasi-periodicities and Outflows

旋转黑洞双星上的迷你盘吸积：准周期性和流出

• DOI: 10.3847/1538-4357/ac532a
• 发表时间: 2022
• 期刊: The Astrophysical Journal
• 作者: Combi, Luciano;Lopez Armengol, Federico G.;Campanelli, Manuela;Noble, Scott C.;Avara, Mark;Krolik, Julian H.;Bowen, Dennis
• 通讯作者: Bowen, Dennis

Quasi-periodicity of Supermassive Binary Black Hole Accretion Approaching Merger

超大质量双黑洞吸积接近合并的准周期性

• DOI: 10.3847/1538-4357/ab2453
• 发表时间: 2019
• 期刊: The Astrophysical Journal
• 作者: Bowen, Dennis B.;Mewes, Vassilios;Noble, Scott C.;Avara, Mark;Campanelli, Manuela;Krolik, Julian H.
• 通讯作者: Krolik, Julian H.

On the properties of the massive binary black hole merger GW170729

• DOI: 10.1103/physrevd.100.104015
• 发表时间: 2019-03
• 期刊: Physical Review D
• 影响因子: 5
• 作者: K. Chatziioannou;R. Cotesta;S. Ghonge;J. Lange;K. Ng;J. C. Bustillo;J. Clark;C. Haster;Sebastian Khan;Michael Puerrer;V. Raymond;S. Vitale;Nousha Afshari;S. Babak;K. Barkett;J. Blackman;A. Bohé;M. Boyle;A. Buonanno;M. Campanelli;Gregorio Carullo;T. Chu;E. Flynn;H. Fong;Alyssa Garcia;M. Giesler;M. Haney;M. Hannam;I. Harry;J. Healy;D. Hemberger;I. Hinder;K. Jani;Bhavesh Khamersa;Lawrence E. Kidder;Prayush Kumar;P. Laguna;C. Lousto;G. Lovelace;T. Littenberg;L. London;M. Millhouse;L. Nuttall;F. Ohme;R. O’Shaughnessy;S. Ossokine;F. Pannarale;P. Schmidt;H. Pfeiffer;M. Scheel;L. Shao;D. Shoemaker;B. Szilágyi;A. Taracchini;S. Teukolsky;Y. Zlochower