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进入实验的有问题的噪声源来帮助那些搜索引力波信号的人。我们还将继续我们的统计工作，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意义，以及许多更广泛的方面。噪声表征是任何实验都必须完成的任务，这也是Carleton的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天文台；我们的统计工作将有助于从这些信号中提取重要的天体物理信息。最后，我们的工作是培养美国下一代科学家的一种手段。卡尔顿学院是培养科学家的领先者；这个项目为年轻科学家提供了真正的科学机会和责任，并极大地激励了他们追求科学事业。

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.