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，并涉及美国国家科学基金会“宇宙之窗”大创意的优先领域。随着对致密双星系统合并的探测，多信使引力波天文学已经到来。随着 Advanced LIGO、Advanced Virgo 和 KAGRA 不断提高设计灵敏度，需要继续进行新的努力来表征探测器并从数据中减去已知的物理效应。这项工作使得探测更紧凑的双星成为可能，并发现来自其他天体物理源的引力波，这些引力波可能与电磁信号相关，也可能无关。为了显着提高先进探测器的科学范围，该奖项将能够探测尚未探测到的、未建模的引力波，并开发低延迟数据产品的软件。它还将支持涵盖小学到高中的推广活动，重点是明尼阿波利斯和圣保罗的引力波。随着仪器设备的不断进步，引力波天文学的实现关键取决于数据分析的不断进步功能，适用于第二代和第三代仪器。该奖项重点关注三个领域：(i) O4 和 O5 数据上未建模引力波瞬变的技术和搜索，(ii) 低延迟数据产品软件，包括对源属性（如倾角和喷射物预测）的估计并应用它们未来在 O4 和 O5 中检测到的事件，以及 (iii) 使用辅助传感器数据减轻非线性噪声源的技术，以了解和消除引力波应变中线性和非线性噪声源的贡献，从而显着提高其灵敏度。该奖项资助的外展活动将帮助学生了解 LIGO 是什么以及重力如何工作。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。