Binary Black Holes and Gravitational Radiation

* 9800722Matzner德克萨斯大学相对论中心的Richard Matzner和Matthew Choptuik教授将与博士后和该中心的其他成员合作，开发描述天体物理学黑洞相互作用和碰撞以及相互作用中引力辐射产生的计算机代码。 这些技术将从对单个黑洞的简单描述扩展，并将利用一套现有的模拟黑洞相互作用的计算机代码。 由于计算和分析描述的技术进步（特别是定位黑洞表面的方法），这是一项及时的努力，应该会产生重要的科学成果。 其中一些工作将与匹兹堡大学和宾夕法尼亚州立大学合作完成。目前正在建造的探测器对引力辐射的探测将为宇宙打开一扇引人注目的新窗口。 对来自可能的天体物理源的信号进行理论预测，对于理解预期的信号和设计检测算法本身都是极其重要的。 黑洞相互作用非常重要，因为黑洞可能是引力辐射信号最强的来源。 该项目将测试这一说法，并将提供大量的理论输入预测引力波信号，因为他们被检测到。 此外，这是一个非常大规模的科学计算的例子，并将开发和扩展适用于广泛的计算科学问题的技术。

***9800722MatznerProfessors Richard Matzner and Matthew Choptuik of the University of Texas Center for Relativity will work with postdocs and other members of the Center, to develop computer codes that describe the interaction and collision of astrophysical black holes and the production of gravitational radiation in their interactions. The techniques will be extended from simpler descriptions of single black holes, and will make use of a set of existing computer codes that simulate black hole interactions. Because of technical advances in the computational and analytical description (particularly methods for locating the surfaces of the black holes), this is a timely effort, and should yield significant scientific results. Some of this work will be done in collaboration with The University of Pittsburgh, and with The Pennsylvania State University.The detection of gravitational radiation by detectors now under construction will open a dramatic new window on the universe. Having a theoretical prediction of the signals from possible astrophysical sources will be extremely important to understanding the expected signals, and to designing the detection algorithms themselves. Black hole interactions are very important, because black holes may be the strongest sources of gravitational radiation signals. This project will test this statement, and will provide a substantial theoretical input to the prediction of gravitational wave signals as they are detected. In addition this is an example of very large scale scientific computation, and will develop and extend techniques that are applicable in a wide range of computational-science problems.***