Data Analysis Tools, Techniques, and Algorithms for Gravitational Wave Detectors

* 9728704艾伦激光干涉仪引力波观测站（LIGO）计划于2001年开始运行。 LIGO将能够探测到来自几种类型的源的引力辐射，如果它们存在的数量足够大或强度足够大的话。 由于引力辐射的信号会淹没在探测器本身的噪声中，因此探测问题比较困难。 信号必须从噪声中提取出来。 模拟引力辐射信号源或干扰分析的仪器伪影必须被表征并从复杂的数据流中去除，这些数据流将来自大约100个不同的仪器和诊断信号。 这项研究计划包括开发，实施和优化的代码，以搜索不同类型的信号的数据流，和诊断工具的开发，这将提供真实的时间，瞬时反馈有关的操作instrument.Most现有的技术，可用于搜索不同类型的源从来没有测试过的数据从干涉引力波探测器。 该项目将协助LIGO项目开发和实施不同的算法。 这些算法将用加州理工学院40米干涉仪的数据和LIGO系统的部分数据进行测试。 这项工作的结果将是一系列经过测试、记录和验证的数据分析软件，以及如何将预期的数据分析技术有效地应用于LIGO的实际数据流。

***9728704AllenThe Laser Interferometer Gravitational-Wave Observatory (LIGO) is scheduled to begin operation in 2001. LIGO will be able to detect gravitational radiation from several types of sources if they are present in large enough numbers or with great enough intensity. The detection problem is difficult because the signal from the gravitational radiation will be buried in the noise form the detector itself. The signal must be extracted from the noise. Instrumental artifacts that mimic sources of gravitational radiation signals, or otherwise interfere with the analysis must be characterized and removed from the complex data stream that will emanate from about 100 different instrument and diagnostic signals. This research program includes the development, implementation and optimization of codes to search the data stream for different types of signals, and the development of diagnostic tools which will provide real time, instantaneous feedback about the operation of the instrument.Most existing techniques that could be used to search for different types of sources have never been tested on data from an interferometric gravitational-wave detector. This project will assist the LIGO project with the development and implementation of different algorithms. These algorithms will be tested with data from the Caltech 40m interferometer and with parts of the LIGO system as they come on into operation. The results of this work will be a collection of tested, documented and proven data analysis software as well as insight into how the expected data analysis techniques can be usefully applied to the actual data stream from LIGO.***