Compact Object Binaries and Gravitational Radiation

致密天体双星和引力辐射项目侧重于对进入LIGO敏感带的天体物理现象进行计算建模，从而利用数值相对论的预测能力。这一努力既利用了LIGO及其合作伙伴在收集数据和在设计灵敏度下运行方面的最新进展，也利用了最近的数值相对论革命，使双星黑洞模拟成为可能。该项目包括以下领域：(I)增强计算基础设施，以提高黑洞碰撞模拟及其相关引力波的性能和精度，(Ii)支持LIGO观测努力的具有不等质量和旋转黑洞的双星黑洞模拟，以及(Iii)黑洞和中子星模拟，以模拟短伽马射线爆发的中央引擎。该项目将佐治亚理工学院数值相对论的重点从开发转化为应用，目的是产生引起广泛兴趣的结果，并涉及推动高性能计算前沿的科学计算。具体地说，该项目进一步加强了计算基础设施，并能够开发灵活和可重复使用的社区工具，这些工具对于支持探测和解释引力波观测的合作工作至关重要。此外，该项目还为本科生和研究生在引力波物理学方面的跨学科培训提供了宝贵的思想和材料来源。

The Compact Object Binaries and Gravitational Radiation project focuses on computational modeling of astrophysical phenomena that enter the LIGO sensitivity band, thus exploiting the predictive power of numerical relativity. The effort capitalizes on both the latest advances of LIGO and its partners in gathering data and operating at design sensitivity and on the recent revolution in numerical relativity that has made binary black hole simulations possible. The project consists of the following areas: (i) Enhancement of computational infrastructure to improve performance and accuracy of black hole collision simulations and their associated gravitational waves, (ii) binary black hole simulations with unequal mass and spinning black holes in support of LIGO observational efforts, and (iii) black hole and neutron star simulations to model central engines for short gamma-ray bursts.The project transforms the focus of the numerical relativity at Georgia Tech from development to applications, with the aim of producing results that capture broad interest and involving scientific computing that pushes the frontiers of high performing computing. Specifically, the project further enhances the computational infrastructure and enables the development of flexible and reusable community tools essential to collaborative effort in support of the detection and interpretation of gravitational wave observations.  In addition, the project provides valuable sources of ideas and materials for interdisciplinary training of undergraduate and graduate students in gravitational wave physics.