Rapid, High-Fidelity Numerical Models of Gravitational Waves from Generic Binary Black Hole Mergers

通用双黑洞合并引力波的快速、高保真数值模型

• 批准号: 2110496
• 负责人: Scott Field
• 金额: $ 21万
• 依托单位: University of Massachusetts, Dartmouth
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2025-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2110496&HistoricalAwards=false
• 关键词: Rapid; Fidelity; Numerical; Models; Gravitational

This award supports research in relativity and relativistic astrophysics and it addresses the priority areas of NSF's "Windows on the Universe" Big Idea. The direct detection of gravitational waves by the Advanced Laser Interferometer Gravitational-Wave Observatory has realized a long-awaited promise to open a new window on the Universe. These waves typically originate from other galaxies through a violent merger of two black holes or neutron stars. These waves, which travel over galactic distances to reach us, provide clues about the black holes, spacetime, and Einstein's theory of general relativity. To realize the full scientific potential of current and future gravitational wave experiments, a model of the expected gravitational wave signal must be both highly accurate and very fast to evaluate. This award will support a multi-disciplinary approach to gravitational-wave modeling to produce new algorithms and computer programs aimed at maximizing the scientific output of gravitational wave observations. The models produced as part of this research will be especially useful for analyzing powerful black hole mergers and novel eccentric binary black hole systems. This research project, and more generally gravitational wave science, will continue to engage the public in these discoveries through outreach as well as train a diverse group of students with a strong STEM background to prepare them for careers that require technical and computational skills.This award will support the development, implementation, and use of numerical techniques designed to overcome some of the most urgent challenges in gravitational-wave science. Crucially, the interpretation of gravitational wave datasets requires access to a model which is both fast-to-evaluate and faithful to the relevant physics. Using traditional techniques, these two requirements are often at odds with one another. Recently, a set of targeted data-driven surrogate modeling tools have emerged as a means to accurately reproduce numerical relativity waveforms at arbitrary parameter values within a fraction of a second. The goal of this project is to build on these recent successes and to (i) continue the development of this methodology by extending it to handle more challenging cases including eccentricity and intermediate-mass ratio systems, (ii) construct waveform model error estimators to be used in parameter inference or for model refinement, (iii) implement these methods and models within existing public codes so that they are widely available, and (vi) carry out high-impact scientific studies made possible by the rapid, high-fidelity waveform models that have been built.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.

该奖项支持相对论和相对论天体物理学的研究，并解决了NSF“宇宙之窗”大理念的优先领域。高级激光干涉引力波天文台对引力波的直接探测实现了人们期待已久的承诺，为宇宙打开了一扇新的窗口。这些波通常来自其他星系，通过两个黑洞或中子星的剧烈合并。这些波穿越银河系的距离到达我们，为黑洞、时空和爱因斯坦的广义相对论提供了线索。为了实现当前和未来引力波实验的全部科学潜力，预期引力波信号的模型必须高度准确且非常快速。该奖项将支持引力波建模的多学科方法，以产生新的算法和计算机程序，旨在最大限度地提高引力波观测的科学产出。作为这项研究的一部分，产生的模型将特别有助于分析强大的黑洞合并和新的偏心双黑洞系统。这个研究项目，以及更广泛的引力波科学，将继续通过外展活动吸引公众参与这些发现，并培养具有强大STEM背景的多元化学生群体，为他们需要技术和计算技能的职业做好准备。这个奖项将支持开发，实施，以及使用数值技术来克服引力波科学中一些最紧迫的挑战。至关重要的是，引力波数据集的解释需要访问一个模型，该模型既可以快速评估，又可以忠实于相关的物理学。使用传统技术，这两个要求往往是相互矛盾的。最近，一组有针对性的数据驱动的代理建模工具已经出现，作为一种手段，准确地再现数值相关性波形在任意参数值在几分之一秒内。该项目的目标是在这些最近的成功的基础上，（i）通过扩展该方法以处理包括偏心率和中间质量比系统在内的更具挑战性的情况来继续开发该方法，（ii）构建用于参数推断或模型改进的波形模型误差估计器，（iii）在现有的公共代码中实现这些方法和模型，以便它们广泛可用，以及（vi）通过已建立的快速、高保真波形模型进行高影响力的科学研究。该奖项反映了NSF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力审查标准进行评估，被认为值得支持。

项目成果

Surrogate model for gravitational wave signals from nonspinning, comparable-to large-mass-ratio black hole binaries built on black hole perturbation theory waveforms calibrated to numerical relativity

• DOI: 10.1103/physrevd.106.104025
• 发表时间: 2022-04
• 期刊: Physical Review D
• 影响因子: 5
• 作者: Tousif Islam;Scott E. Field;S. Hughes;G. Khanna;V. Varma;M. Giesler;M. Scheel;Lawrence E. Kidder;H. Pfeiffer

Removing degeneracy and multimodality in gravitational wave source parameters

• DOI: 10.1103/physrevd.106.123015
• 发表时间: 2022-07
• 期刊: Physical Review D
• 影响因子: 5
• 作者: Javier Roulet;S. Olsen;Jonathan Mushkin;Tousif Islam;T. Venumadhav;B. Zackay;M. Zaldarriaga

Survey of gravitational wave memory in intermediate mass ratio binaries

• DOI: 10.1103/physrevd.108.024046
• 发表时间: 2021-09
• 期刊: Physical Review D
• 影响因子: 5
• 作者: Tousif Islam;Scott E. Field;G. Khanna;Niels Warburton