Extending the Teach of Gravitational-Wave Detectors through Low Latency Data Products, Unmodeled Searches, and Detector Characterization

通过低延迟数据产品、未建模搜索和探测器表征扩展引力波探测器的教学

• 批准号: 2308862
• 负责人: Michael Coughlin
• 金额: $ 30万
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2026-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2308862&HistoricalAwards=false
• 关键词: Extending; Teach; Gravitational; Wave; Detectors

This award supports research in relativity and relativistic astrophysics, and it addresses the priority areas of NSF's "Windows on the Universe" Big Idea. Multi-messenger gravitational-wave astronomy has arrived with the detection of the coalescence of compact binary systems. With Advanced LIGO, Advanced Virgo and KAGRA pushing towards design sensitivity, continued and new efforts to characterize the detectors and subtract known physical effects from the data is required. This work enables the possibility of detecting more compact binaries, as well as discoveries of gravitational waves from other astrophysical sources that may/may not be associated with electromagnetic signals. With the goal of significantly increasing the science reach of the advanced detectors, this award will enable the detection of yet-to-be-detected, unmodeled gravitational waves and the development of software for low-latency data products. It will also support an outreach program covering elementary through high school outreach activities with a focus on gravitational waves within Minneapolis and St. Paul.Along with the ongoing advances in instrumentation, the realization of gravitational-wave astronomy depends critically on continuing advances in data analysis capabilities, both for second and third generation instruments. This award focuses on three areas: (i) techniques and searches for unmodeled gravitational-wave transients on O4 and O5 data, (ii) software for low-latency data products, including estimates of source properties such as inclination and ejecta predictions and apply them to future detected events in O4 and O5, and (iii) techniques to mitigate non-linear noise sources using auxiliary sensor data to understand and remove contributions of linear and non-linear noise sources in gravitational-wave strain to significantly improve their sensitivity. The outreach activities funded by this award will help students understand what LIGO is and how gravity works.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该奖项支持相对论和相对论天体物理学的研究，并介绍了NSF“宇宙上的Windows”的优先领域。随着紧凑型二元系统的合并，多理智的重力波天文学已经到达。借助高级LIGO，高级处女座和Kagra朝着设计敏感性，持续和新的努力来表征探测器并从数据中减去已知的物理效应。这项工作使可能发现更多紧凑的二进制文件，以及可能/可能与电磁信号无关的其他天体物理来源的引力波发现。为了显着提高高级探测器的科学覆盖范围，该奖项将能够检测到尚未检测的，未建模的重力波以及用于低延迟数据产品的软件的开发。它还将支持一项通过高中外展活动涵盖基本的外展计划，重点是在明尼阿波利斯和圣保罗的引力波，随着仪器的持续进展，引力 - 波天文学的实现迫切取决于持续的数据分析能力的持续进展，第二代和第三代工具都在数据分析能力上。该奖项的重点是三个领域：（i）对O4和O5数据上未建模的引力波瞬变的技术和搜索，（ii）低延迟数据产品的软件，包括估算源属性和exjecta预测的来源，并将其应用于未来检测到的事件，以使用O4和O5和（III）的构建技术和（iii）技术来启动型号，并将其应用于（III）技术，并将其应用于（III）技术和（iii）技术。重力波菌株中的非线性噪声源可显着提高其灵敏度。该奖项资助的外展活动将有助于学生了解Ligo是什么以及重力的工作方式。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的影响评估标准通过评估来支持的。