NSF-BSF: New Data Analysis Techniques for a New Era in GW Astrophysics

NSF-BSF：GW 天体物理学新时代的新数据分析技术

• 批准号: 2207583
• 负责人: Matias Zaldarriaga
• 金额: $ 36万
• 依托单位: Institute For Advanced Study
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-01 至 2025-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2207583&HistoricalAwards=false
• 关键词: NSF; BSF; New; Data; Analysis

Since the first detection of gravitational waves by NSF's LIGO observatory, gravitational wave Astrophysics has become one of the most dynamic fields of physics and astronomy. In the next few years the LIGO/Virgo/KAGRA (LVK) collaboration will continue to improve the sensitivity of their observations, discover new black hole and neutron star merger events and make their data public. This award aims to improve the techniques used to analyze gravitational wave data and make astrophysical inferences using it. The improved analysis pipelines will be applied to upcoming data in order to learn about the astrophysical processes that created these sources of gravitational waves and study the gravitational dynamics in a very extreme regime. Although we can see these mergers occurring across our universe we still do not understand how these binary systems formed and questions remain about many properties of the black holes and neutron stars in them. The research produced under this award will be disseminated widely across the scientific community and efforts will be made to make it accessible to non-scientists through public lectures and other outreach activities.This award aims to improve the techniques used to analyze Gravitational Wave data from the LVK collaboration and make astrophysical inferences using it. The improved analysis pipelines will be applied to upcoming data in order to learn about the astrophysical processes that created the Gravitational Wave sources and study the gravitational dynamics in a very extreme regime. In particular, this award will provide an independent analysis and astrophysical interpretation of the LVK data: 1. The team will use the parameter estimation code cogwheel which is extremely efficient due to the implementation of a new set of coordinates as well as the relative binning algorithm extended for higher modes to do a variety of novel studies that its efficiency enables. 2. They will combine the results of their parameter study, including from events found by their independent pipeline to set constraints on the properties of the population of GW sources. 3. They will make several improvements to their independent search pipeline ranging from technical ones related to their treatment of the noise and of so-called glitches to adding the capability of including higher modes and precession as part of the search. 4. They will work on improving h(t) at low frequency by using information from the so-called auxiliary channels. LIGO recently released the auxiliary channels around GW170814 and they intend to investigate different techniques to improve the low frequency “control noise”. 5. They will augment their current efforts, which are mainly centered around data analysis, with some more theoretical work related to tidal dissipation around black holes as well as efforts to improve existing waveforms.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.

自 NSF LIGO 天文台首次探测到引力波以来，引力波天体物理学已成为物理学和天文学中最具活力的领域之一，未来几年，LIGO/Virgo/KAGRA (LVK) 合作将继续提高引力波天体物理学的灵敏度。该奖项旨在改进用于分析引力波数据和进行天体物理学推论的技术。使用它，改进的分析管道将应用于即将到来的数据，以便了解产生这些引力波源的天体物理过程，并研究非常极端的情况下的引力动力学，尽管我们可以看到这些合并发生在我们的宇宙中。仍然不明白这些双星系统是如何形成的，并且关于其中的黑洞和中子星的许多特性仍然存在疑问。根据该奖项进行的研究将在整个科学界广泛传播，并将努力使其易于理解。通过公开讲座和其他推广活动向非科学家开放。该奖项旨在改进用于分析 LVK 合作的引力波数据的技术，并利用该技术进行天体物理学推论。改进的分析流程将应用于即将推出的数据，以便了解更多信息。创建引力波源并研究非常极端状态下的引力动力学的天体物理过程特别是，该奖项将为 LVK 数据提供独立的分析和天体物理解释： 1. 该团队将使用。由于实施了一组新的坐标以及针对更高模式扩展的相对分箱算法，参数估计代码齿轮非常高效，可以进行其效率所带来的各种新颖的研究。他们将结合 2 的结果。他们的参数研究，包括通过其独立管道发现的事件，以对 GW 源群体的属性设置限制。 3. 他们将对其独立搜索管道进行多项改进，包括与噪声处理相关的技术改进。所谓的故障添加的能力4. 他们将利用来自 LIGO 最近发布的 GW170814 周围的辅助通道的信息来改善低频下的 h(t)。 5. 他们将加强目前主要集中在数据分析方面的工作，并开展一些与黑洞周围潮汐耗散相关的更多理论工作以及以下方面的工作。改善现有波形。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优点和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

New binary black hole mergers in the LIGO-Virgo O3a data

LIGO-Virgo O3a 数据中新的双黑洞合并

• DOI: 10.1103/physrevd.106.043009
• 发表时间: 2022-01-06
• 期刊: Physical Review D
• 影响因子: 5
• 作者: S. Olsen;T. Venumadhav;Jonathan Mushkin;Javier Roulet;B. Zackay;M. Zaldarriaga
• 通讯作者: M. Zaldarriaga

Removing degeneracy and multimodality in gravitational wave source parameters

消除引力波源参数的简并性和多模态

• DOI: 10.1103/physrevd.106.123015
• 发表时间: 2022-12
• 期刊: Physical Review D
• 影响因子: 5
• 作者: Roulet, Javier;Olsen, Seth;Mushkin, Jonathan;Islam, Tousif;Venumadhav, Tejaswi;Zackay, Barak;Zaldarriaga, Matias
• 通讯作者: Zaldarriaga, Matias