RUI: Parameter Estimation, Data Analysis, and Detector Characterization for LIGO

通过这个奖项，卡尔顿学院的团队将继续寻找，描述和表征LIGO探测器中的噪声。我们将通过识别不可避免地会进入实验的有问题的噪音源来帮助那些寻找引力波信号的人。我们还将继续我们的统计工作，从而我们将从引力波信号中提取天体物理信息。这项工作具有重要的科学价值，以及许多更广泛的方面。噪声表征是任何实验的必要任务，这是卡尔顿大学本科生能够完成的工作。一旦LIGO探测到引力波，它的下一个任务将是成为一个天文观测站;我们的统计工作将有助于从信号中获得重要的天体物理信息。最后，我们的工作是在美国培养下一代科学家的一种手段。卡尔顿学院在培养科学家方面处于领先地位;该项目为年轻科学家提供了真实的科学机会和责任，并为追求科学事业提供了巨大的激励。

Through this award the group at Carleton College will continue its work on finding, describing and characterizing the noise in the LIGO detectors. We will help those searching for gravitational wave signals by identifying problematic noise sources that inevitably find their way into the experiment. We will also continue our statistical work whereby we will extract the astrophysical information from the gravitational wave signal.This work has important scientific benefits, and many broader aspects. Noise characterization is a necessary task for any experiment, and this is a job that the Carleton undergraduates are able to accomplish. Once LIGO detects gravitational waves its next task will be to become an astronomical observatory; our statistical work will help to derive the important astrophysical information from the signals. Finally, our work serves as a means to create the next generation of scientists in the United States. Carleton College is a leader in producing scientists; this project gives real scientific opportunity and responsibility to young scientists, and serves as a tremendous incentive for pursuing a career in science.