Collaborative Research: Accelerating the Pace of Discovery in Numerical Relativity by Improving Computational Efficiency and Scalability

协作研究：通过提高计算效率和可扩展性来加快数值相对论的发现步伐

• 批准号: 2207616
• 负责人: Hari Sundar
• 金额: $ 18万
• 依托单位: University of Utah
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2025-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2207616&HistoricalAwards=false
• 关键词: Collaborative; Research; Accelerating; Pace; Discovery

The dawn of gravitational wave astronomy is just beginning, and the LIGO and Virgo gravitational wave detectors have already made some stunning discoveries. Future upgrades to these detectors, as well as the advent of new detectors, such as Kagra, will significantly expand the range of gravitational wave science. As the sensitivity of gravitational wave detectors improves over the next decade, the accuracy of numerical solutions of these events must correspondingly increase by at least an order of magnitude in the same time frame. This is a significant computational challenge that must be met to enable the full scientific potential of the new detectors. This project will study mergers of binary neutron stars and black holes using computer simulations created by Dendro-GR, a new computer code that runs very efficiently on the largest supercomputers. Tests of general relativity will also be performed by examining alternative models of gravity. New algorithms for solving differential equations will be explored to improve the efficiency of long simulations of binary mergers. Work done for this project will promote the progress of science and contribute to undergraduate and graduate training in multiple STEM fields including computer science, mathematics, and physics. Finally, Dendro-GR is an open source project.This project will study the dynamics of merging binary compact objects at the frontier of current computational capabilities. The ability to model a wide variety of possible mergers will correspondingly increase the ability of gravitational wave scientists to find and understand these high-energy events, and to search for possible new physics that lies beyond our current gravitational models. This project will be directed at the following goals: (1) The Dendro-GR computational framework will be expanded to calculate gravitational waveforms for binary neutron star inspirals of sufficient accuracy to be used in waveform catalogs. (2) Binary black hole inspirals with large mass ratios will be studied to expand the range of current waveform catalogs. (3) Gravitational waveforms for merging black hole binaries will be calculated within alternative gravitational theories to probe possible deviations from the predictions of general relativity and to search for new physics beyond our current model for gravity. (4) The computational challenge of improving accuracy in numerical relativity will be studied by focusing on reducing the time-to-solution. This complicated problem requires a broad approach that uses GPUs, innovative finite differencing, improved spatial discretizations, and exposing the temporal discretization to more parallelism.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.

引力波天文学的曙光才刚刚开始，Ligo和处女座重力波探测器已经成为一些令人惊叹的发现。这些探测器的未来升级以及新探测器（例如Kagra）的出现将大大扩大引力波科学的范围。随着重力波检测器在未来十年的提高，这些事件的数值解的准确性必须相应地在同一时间范围内至少增加一个数量级。这是一项重大的计算挑战，必须满足新检测器的全部科学潜力。该项目将使用由Dendro-gr创建的计算机模拟来研究二进制中子星和黑洞的合并，这是一种新的计算机代码，在最大的超级计算机上非常有效地运行。一般相对性的测试也将通过检查重力的替代模型来进行。将探索用于求解微分方程的新算法，以提高二进制合并的长期模拟效率。为该项目完成的工作将促进科学的进步，并为包括计算机科学，数学和物理学在内的多个STEM领域的本科和研究生培训做出贡献。最后，Dendro-gr是一个开源项目。此项目将研究合并当前计算能力边界的二进制紧凑对象的动态。建模各种可能的合并的能力将相应地提高引力波科学家发现和理解这些高能量事件的能力，并寻找超出我们当前重力模型的可能的新物理学。该项目将针对以下目标：（1）将扩展Dendro-GR计算框架，以计算具有足够精确度的二进制中子星灵的重力波形，以用于波形目录。 （2）将研究具有较高质量比的二进制黑洞灵感，以扩大当前波形目录的范围。 （3）将在替代重力理论​​中计算合并黑洞二进制的重力波形，以探测可能与一般相对性预测的偏差，并在我们当前的重力模型之外寻找新物理学。 （4）通过关注减少时间到解决的时间来研究提高数值相对性准确性的计算挑战。这个复杂的问题需要一种广泛的方法，该方法使用GPU，创新的有限差异，改进的空间离散化以及将时间离散化暴露于更平行性的情况下。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子和更广泛影响的评估来通过评估来获得支持的审查标准。