Modeling Extreme Astrophysical Black Hole Binaries

极端天体物理黑洞双星建模

• 批准号: 1305730
• 负责人: Carlos Lousto
• 金额: $ 52.5万
• 依托单位: Rochester Institute of Tech
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1305730&HistoricalAwards=false
• 关键词: Modeling; Extreme; Astrophysical; Black; Hole

Gravitational Wave (GW) Astronomy promises to provide a revolutionary new view of the universe that can probe previously unexplorable regions, including the interiors of neutron stars, collisions of black holes, which emit energy at luminosities exceeding the entire visible universe, and even remnants of the big bang. However, the challenges are significant because the GW signals will be hidden in orders of magnitude larger noise. To gain new insight into the dynamics of the universe, GW astronomers need to be able to infer the nature of the sources from the observed signals. However, the physical parameters of these sources can only be extracted from the observed signals if the dependence of the waveform on source parameters is known to high-accuracy. The success of the GW astronomy efforts therefore depends critically on advancements in Numerical Relativity (NR). This award funds the well-established research program at the Rochester Institute of Technology (RIT) to model merging black hole binaries in the highly-nonlinear regime, which are among the loudest sources for aLIGO/AdVirgo. We focus on binaries in the technically difficult small-mass-ratio, highly-spinning, and highly-precessing regimes, which requires new developments in code optimization, new gauge conditions (especially gauge conditions adapted for the high-spin regime), non-conformally flat initial data for high spins and linear momentum, as well as hybrid numerical/perturbative techniques that will allow us to model a large range of binaries using relatively few numerical simulations. Our principle goals will be to produce waveforms from these extreme binaries of sufficient accuracy for aLIGO/AdVirgo GW data analysis, and to model the gravitational radiation recoil (as well as remnant mass and spins) from highly-precessing binaries in order to elucidate the distributions of these recoils and how they affect the distribution and growth of supermassive black holes. This research is very timely now that aLIGO is scheduled to come online in 2015. Our research will directly benefit the aLIGO/AdVirgo project, the NINJA and NRAR projects, and an emerging new field in astrophysics: The search for the observational consequences of merging and recoiling black holes. The research proposed here will complement other ongoing projects of our NR group to include matter and magnetic fields in our vacuum general relativistic code in order to study EM counterparts to compact-object mergers and to model accretion disk dynamics near supermassive black holes. This award will not only enable the PIs to enhance their research program, but it will also be used to greatly enhance the research effort at RIT as a whole. The award supports graduate student research in RIT's PhD Astronomy program and a proposed new PhD program in 'Modeling and Computation'. Importantly, our research will be the focus of our new partnership with RIT's National Technical Institute for the Deaf on an NSF-funded project that combines innovative dance and theater performances to promote science to the deaf and hard-of-hearing communities. Visualizations will also be a vehicle for public outreach events on science, mathematics, and computing through site visits and annual community-wide public exhibits like 'ImagineRIT'.

引力波（GW）天文学有望提供宇宙的革命性新观，可以探测以前无法开发的区域，包括中子恒星的内部，黑洞的碰撞，在亮度上发出的能量超过整个可见宇宙的能量，甚至是大爆炸的记忆。但是，挑战是重大的，因为GW信号将以更大的噪声范围隐藏。 为了获得对宇宙动力学的新见解，GW天文学家需要能够从观察到的信号中推断来源的性质。 但是，如果波形对源参数的依赖性，则可以从观察到的信号中提取这些源的物理参数，这是高准确性的。因此，GW天文学工作的成功取决于数值相对论的进步（NR）。该奖项为罗切斯特理工学院（RIT）的公认研究计划提供了资金，以模拟在高度非线性政权中合并黑洞二进制文件，这是Aligo/Advirgo的最响亮来源之一。 We focus on binaries in the technically difficult small-mass-ratio, highly-spinning, and highly-precessing regimes, which requires new developments in code optimization, new gauge conditions (especially gauge conditions adapted for the high-spin regime), non-conformally flat initial data for high spins and linear momentum, as well as hybrid numerical/perturbative techniques that will allow us to model a large range of binaries using relatively few数值模拟。我们的主要目标是从这些极端准确性的极端二进制文件中产生波形，以用于Aligo/Advirgo GW数据分析，并通过高度不必要的二进制文件对重力辐射后坐力（以及残留的质量和旋转）进行建模，以阐明这些后坐力的分布以及它们的分布以及它们的分布以及它们如何影响超级大型黑色好人的分布和生长。 现在，由于Aligo计划在2015年上线，这项研究是及时的。我们的研究将直接使Aligo/Advirgo项目，Ninja和NRAR项目以及天体物理学的新兴领域受益：寻找合并和后退黑洞的观察后果。此处提出的研究将补充我们NR组的其他正在进行的项目，以在真空综合相对论代码中包括物质和磁场，以便研究EM对应物以紧凑的对象合并并模拟超级质量黑洞附近的积聚磁盘。该奖项不仅将使PI能够增强其研究计划，而且还将用于大大改善整个RIT的研究工作。该奖项支持RIT博士天文学计划的研究生研究以及“建模和计算”中提议的新博士学位计划。重要的是，我们的研究将成为我们与RIT国家聋人国家聋人技术研究所的新合作伙伴关系的重点，该研究所由NSF资助的项目结合在一起，该项目结合了创新的舞蹈和戏剧表演，以推动科学促进聋哑和障碍社区。可视化也将是通过现场访问和年度社区范围的公共展览（如“ Imaginerit”）进行的有关科学，数学和计算的公共宣传活动的工具。