Know Your Noise: Discovery in Gravitational Wave Astronomy Through Parametric Noise Modeling

了解你的噪声：通过参数噪声建模发现引力波天文学

• 批准号: 2110636
• 负责人: Ben Farr
• 金额: $ 18万
• 依托单位: University of Oregon Eugene
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2110636&HistoricalAwards=false
• 关键词: Know; Your; Noise; Discovery; Gravitational

After decades of research and development, the search for gravitational waves has finally succeeded, and their detection has forever changed the field of astronomy. The LIGO and Virgo observatories detected at least one binary neutron star merger and ten binary black hole mergers by the end of their second observing run, and well over 50 more compact binary mergers in their third observing run. While these detections have already validated the theory of general relativity at new extremes, enabled novel cosmological measurements, and greatly advanced our understanding of compact objects, we have only scratched the surface of what these detectors will teach us. As sensitivities improve, we continue to push the boundaries of the observed compact binary parameter space, and we must address limitations in current noise modeling techniques to fortify our efforts to continue making discoveries. Noise transients — or “glitches” — have already challenged current analysis techniques, and potentially stand in the way of discovering binaries with the most extreme mass ratios and spins; possibly the most informative for understanding compact binary formation and evolution. The group will develop empirical methods to construct parameterized models of common glitch classes that will model noise transients with unparalleled fidelity, enabling robust noise mitigation, facilitating detector commissioning efforts, and enabling impactful discoveries that gravitational waves are uniquely suited to make. In parallel the group will leverage astronomy's innate ability to capture the public's curiosity to engage in conversations on astronomy and broader STEM topics within the Oregon community. They will launch the Gas Up and Gaze Up program, where researchers will bring telescopes to gas stations throughout Oregon to host walk-up observing sessions and discuss astronomy and STEM topics with gas station patrons. This will be coupled with the efforts of the University of Oregon’s Pine Mountain Observatory (PMO), where graduate and undergraduate student facilitators will receive telescope operation and outreach training. These students will also be the founding members of a pool of teaching assistants and near-peer mentors trained to use PMO remotely, enabling inclusion of remote observing projects in existing courses in the undergraduate physics curriculum at the University of Oregon.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.

经过数十年的研究和发展，对引力波的搜索终于成功了，它们的发现永远改变了天文学领域。 Ligo和处女座观察者在第二次观察跑步结束时检测到了至少一个二进制中性星星合并和十个二进制黑洞合并，在他们的第三次观察过程中，远远超过50个紧凑型二进制合并。尽管这些检测已经验证了新极端的一般可靠性理论，启用了新颖的宇宙学测量，并大大提高了我们对紧凑型物体的理解，但我们只抓到了这些探测器会教给我们的内容的表面。随着灵敏度的提高，我们继续推动观察到的紧凑型二进制参数空间的边界，我们必须解决当前噪声建模技术中的局限性，以加强我们继续发现发现的努力。噪声瞬变（或“故障”）已经挑战了当前的分析技术，并有可能以最极高的质量比和自旋发现二进制方法。理解紧凑型二元形成和进化的最有用的可能是。该小组将开发经验方法来构建常见小故障类别的参数化模型，这些模型将以无与伦比的保真度对噪声瞬变建模，实现稳健的噪音缓解，支持探测器调试工作，并能够实现有影响力的发现，即引力波是独特的适合制造的。同时，该小组将利用天文学的天生能力来捕捉公众的好奇心，以进行俄勒冈社区内的天文学和更广泛的STEM主题对话。他们将启动煤气和凝视计划，研究人员将将望远镜带到俄勒冈州的加油站，以举办步行仪式，并与加油站顾客讨论天文学和STEM主题。这将与俄勒冈大学的松山天文台（PMO）的努力相结合，研究生和本科生主持人将接受望远镜的运营和外展培训。 These students will also be the founding members of a pool of teaching assistants and near-peer mentors trained to use PMO remotely, enabling inclusion of remote observing projects in existing courses in the undergraduate physics curriculum at the University of Oregon.This award reflects NSF's statutory mission and has been deemed precious of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

项目成果

Transient glitch mitigation in Advanced LIGO data

• DOI: 10.1103/physrevd.104.102004
• 发表时间: 2021-08
• 期刊: Physical Review D
• 影响因子: 5
• 作者: J. D. Merritt;B. Farr;R. Hur;B. Edelman;Z. Doctor