Exploring Extreme Black Hole Binaries

探索极端黑洞双星

• 批准号: 0969855
• 负责人: Carlos Lousto
• 金额: $ 60.01万
• 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: 2010
• 资助国家: 美国
• 起止时间: 2010-06-01 至 2014-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0969855&HistoricalAwards=false
• 关键词: Exploring; Extreme; Black; Hole; Binaries

This award continues support for a research program at the Rochester Institute of Technology (RIT) to model merging black-hole binaries in the highly-nonlinear regime. Research will concentrate on binaries in the technically difficult small-mass-ratio, highly-spinning, and highly-precessing regimes, that requires new developments in code optimization, gauge conditions, initial data generation, and hybrid numerical / perturbative techniques. With these developments, the code will be used to generate a large number of simulations of extreme binaries in order to produce waveforms of sufficient accuracy for LIGO/Virgo data analysis, comparison and validation of Post-Newtonian approximate waveforms, and to model the astrophysical consequences of black-hole mergers. This project will directly benefit ground based gravitational wave detectors such as LIGO and Virgo, the Numerical INjection Analysis (NINJA) project to see how well numerically generated waveforms can be recovered by data analysts, and an emerging new field in astrophysics where astronomers search for the observational consequences of merging and binaries and recoiling black holes.Recent computational breakthroughs, due in part to the contributions of the RIT team, have finally allowed numerical relativists to efficiently solve the Einstein equations for coalescing binaries, and has made gravitational-wave astronomy in the strong-field regime possible. Gravitational-wave astronomy promises to provide a revolutionary new view of the universe, complementary to the electromagnetic perspective. In addition, this award will be used to greatly enhance the research effort at RIT as a whole by providing training and mentoring opportunities for postdocs and students. This award will also allow continuation of activities in education and public outreach, including programs designed to introduce youths from disadvantaged and underrepresented groups to exciting scientific developments and the opportunities offered by the Institute and other local colleges.

该奖项继续支持罗切斯特理工学院（RIT）的研究计划，以模拟在高度非线性政权中合并黑洞二进制文件。研究将集中在技术困难的小质量比例中，高度旋转和高度不必要的制度，这需要代码优化，规格条件，初始数据生成以及混合数值 /扰动技术方面的新发展。通过这些发展，该代码将用于生成大量极端二进制文件的模拟，以便产生足够精确度的波形，以进行LIGO/PIRGO数据分析，对牛顿后尼顿后近似波形的比较和验证，并模拟黑洞合并的天文学后果。 This project will directly benefit ground based gravitational wave detectors such as LIGO and Virgo, the Numerical INjection Analysis (NINJA) project to see how well numerically generated waveforms can be recovered by data analysts, and an emerging new field in astrophysics where astronomers search for the observational consequences of merging and binaries and recoiling black holes.Recent computational breakthroughs, due in part to the contributions of the RIT团队终于允许数值相对主义者有效地解决Einstein方程的合并二进制，并使强力场上的重力波天文学成为可能。引力波天文学有望为宇宙提供革命性的新观点，并与电磁观点相辅相成。此外，该奖项将通过为博士后和学生提供培训和指导机会，从而大大改善RIT的研究工作。该奖项还将允许继续开展教育和公共活动活动，包括旨在将弱势群体和代表性不足的群体引入令人兴奋的科学发展以及研究所和其他当地学院提供的机会的计划。