Reduced Order Modeling for Gravitational Waves

引力波的降阶建模

基本信息

批准号：
1316424
负责人：
Manuel Tiglio
金额：
$ 37.5万
依托单位：
University of Maryland, College Park
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 2014-11-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1316424&HistoricalAwards=false
关键词：
Reduced Order Modeling Gravitational Waves

项目摘要

The structure of the eight-dimensional parameter space for gravitational waves produced by binary black hole mergers is largely unknown. For each parameter value, each solution is found from numerically solving Einstein's equations and involves time intensive large-scale simulations. Hence, it is prohibitively expensive to explore the parameter space with traditional methods, which ultimately limits progress in gravitational waves physics and presents an important scientific challenge for the experimental program at the Laser Interferometer Gravitational-Wave Observatory (LIGO). In this project, new reduced-order modeling techniques will be developed for accurately representing solutions of parameterized problems that are expensive to solve for numerically, specifically in the context of gravitational waves from black hole binary mergers. The results of this research project will enable the scientific community to make significant progress in the ability to map the continuum of gravitational waves from compact binary coalescence for gravitational wave detection purposes. It is expected the methods developed in this proposal will be useful for a broad range of other disciplines involving parameterized problems and expensive large-scale numerical solutions. The project involves significant contributions from two post-doctoral fellows, whose future careers will benefit from performing creative research at the forefront of an important scientific investigation.

双黑洞合并产生的引力波的八维参数空间的结构在很大程度上是未知的。对于每个参数值，每个解都是通过数值求解爱因斯坦方程找到的，并且涉及时间密集型的大规模模拟。因此，用传统方法探索参数空间的成本过高，这最终限制了引力波物理学的进展，并对激光干涉引力波天文台（LIGO）的实验项目提出了重要的科学挑战。在该项目中，将开发新的降阶建模技术，以准确表示参数化问题的解决方案，这些问题的数值求解成本很高，特别是在黑洞双星合并产生的引力波的背景下。该研究项目的结果将使科学界在绘制致密双星聚结的引力波连续谱以用于引力波探测的能力方面取得重大进展。预计本提案中开发的方法将适用于涉及参数化问题和昂贵的大规模数值解决方案的广泛其他学科。该项目涉及两名博士后研究员的重大贡献，他们未来的职业生涯将受益于在重要科学研究的前沿进行创造性研究。