Coherent detection and reconstruction of gravitational waves bursts

该奖项将支持相干网络分析领域的研究——用多个GW探测器（探测器网络）探测和重建引力波（GW）信号。工作将是开发相干网络算法及其在突发搜索中的应用，目标是探测宇宙中最剧烈事件的GW瞬态。相干算法不仅可以探测引力波，还可以对GW信号进行天体物理分析和测量源属性。这样的测量将导致对GW源的潜在物理和动力学的理解，可能揭示已知宇宙事件的起源（如短时间伽马射线爆发），探测中子星的状态方程，并允许对广义相对论进行彻底的测试。将开展将源模型纳入相干分析的工作，以提高检测的信心，对源进行表征，并确认或排除模型。这对于旨在首次探测和研究引力波信号的增强型和先进的GW探测器尤为重要。干涉引力波探测器是迄今为止用于探索宇宙的最先进的仪器之一。它们复杂的设计和复杂的数据分析为物理学各个领域的学生提供了独特的教育和研究机会。研究生和本科生将涉及从噪声中提取信号的复杂方法，大型数据集操作的计算方案，大型计算集群的数据处理以及现代天体物理学理论。提出的研究解决了全球引力波探测器网络探测GW的问题。参与与跨国团队合作进行的联合数据分析将使学生获得丰富的研究经验，并在进行研究和追求科学的过程中接触到不同的文化方法，为他们广泛的职业机会做好准备。

This award will support research in the area of coherent network analysis --- detection and reconstruction of gravitational wave (GW) signals with multiple GW detectors (detector networks). Work will be done on development of the coherent network algorithms and their applications to burst searches which target detection of GW transients from the most violent events in the Universe. Coherent algorithms will enable not only a detection of gravitational waves, but also the astrophysical analyses of GW signals and measurements of source properties. Such measurements will lead to understanding of the underlying physics and the dynamics of GW sources, may reveal the origin of known cosmic events (such as short duration gamma-ray bursts), probe the equations of state of neutron stars and allow a thorough test of General Relativity. Work will be done on inclusion of source models into the coherent analysis in order to improve the confidence of detection, perform characterization of sources and confirm or rule out the models. This will be particularly important for the enhanced and advanced GW detectors which target the first detection and study of gravitational wave signals.Interferometric gravitational wave detectors are among the most advanced instruments ever built to explore the Universe. Their complex design and sophisticated data analysis provide unique educational and research opportunities for students in all areas of physics. Graduate and undergraduate students will be involved with sophisticated methods for extraction of signals from noise, computational schemes for manipulation of large data sets, data processing on large computing clusters and modern astrophysical theories. The proposed research addresses problems of GW detection with the worldwide network of gravitational wave detectors. Participation in the joint data analysis conducted in collaboration with multinational teams will give students a rich research experience and exposure to diverse cultural approaches in conducting research and pursuing science to prepare them for a wide spectrum of career opportunities.