Gravitational Waves From Compact Objects

来自致密物体的引力波

• 批准号: 0245649
• 负责人: Benjamin Owen
• 金额: $ 15万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-07-01 至 2006-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0245649&HistoricalAwards=false
• 关键词: Gravitational; Waves; Compact; Objects

This project studies data analysis and modeling of binary neutron stars and/or black holes, which will be an important source of gravitational waves for the LIGO project (Laser Interferometer Gravitational-wave Observatory). The data analysis work will include the development, testing, and use of algorithms and software to perform searches on LIGO data. It will also include mathematical work on extraction of information from detected signals. The modeling of binary dynamics is closely related: Good data analysis requires good predictions of the signals. This project will focus on binaries composed of spinning objects. For these systems the signals are much more complicated than those usually considered. This makes searches more difficult, but can provide much more information once a signal is detected.This project emphasizes graduate student participation. Students are encouraged to work on data analysis problems as well as the traditional gravity and astrophysics involved in source modeling. This provides students with broader than usual training for careers in and out of academia, solving practical as well as theoretical problems. Students will present their work at scientific meetings. Software and data analysis techniques developed under this grant will be publicly available and used by the international LIGO Science Collaboration. The work on binary dynamics may have implications of interest to the astrophysical community as well.

本项目研究双中子星和/或黑洞的数据分析和建模，这将是LIGO项目（激光干涉仪引力波天文台）引力波的重要来源。数据分析工作将包括对LIGO数据进行搜索的算法和软件的开发、测试和使用。它还将包括从检测到的信号中提取信息的数学工作。二元动力学的建模是密切相关的：良好的数据分析需要对信号进行良好的预测。本项目将重点关注由旋转对象组成的二进制文件。对于这些系统，信号比通常认为的要复杂得多。这使得搜索更加困难，但一旦检测到信号，就可以提供更多的信息。这个项目强调研究生的参与。我们鼓励学生研究数据分析问题，以及涉及源建模的传统重力和天体物理学。这为学生在学术界内外的职业生涯提供了比通常更广泛的培训，解决实际和理论问题。学生们将在科学会议上展示他们的研究成果。在这笔拨款下开发的软件和数据分析技术将公开提供，并由国际LIGO科学合作组织使用。双星动力学方面的工作可能对天体物理学界也有意义。