Algorithms and Scientific Computing for Gravitational Waves Source Modeling

引力波源建模的算法和科学计算

• 批准号: 1005632
• 负责人: Manuel Tiglio
• 金额: $ 30万
• 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: 2010
• 资助国家: 美国
• 起止时间: 2010-09-15 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1005632&HistoricalAwards=false
• 关键词: Algorithms; Scientific; Computing; Gravitational; Waves

This project will develop and implement algorithmic and scientific computing tools to numerically investigate binary black holes (BH), neutron stars (NS) or mixed BH/NS pairs with high accuracy. It will extend multi-domain numerical techniques currently used in black hole simulations to cases in which matter fields and shocks are present. It will also investigate the use of heterogeneous (in particular, GPU) computing in numerical simulations of Einstein equations.The results of this project will have direct impact in high accuracy simulations of binary sources in realistic times, as needed for the generation of gravitational wave templates for earth-based gravitational wave detectors such as LIGO. In a broader context, the developments of this project should be of value to disciplines such as computational fluid dynamics, aerodynamics, acoustics, and electromagnetism, as well as heterogeneous computing and large-scale simulations in general.

该项目将开发和实施算法和科学计算工具，以高精度数值研究双黑洞（BH），中子星（NS）或混合BH/NS对。它将把目前用于黑洞模拟的多域数值技术扩展到存在物质场和冲击的情况。该项目还将研究异构计算（特别是GPU）在爱因斯坦方程数值模拟中的应用。该项目的结果将对现实时代的二元源的高精度模拟产生直接影响，这是为LIGO等地球引力波探测器生成引力波模板所需的。在更广泛的背景下，这个项目的发展应该是有价值的学科，如计算流体动力学，空气动力学，声学和电磁学，以及异构计算和大规模模拟一般。