CAREER: Gravitational Wave Discovery Space

职业：引力波探索太空

• 批准号: 1944412
• 负责人: Joey Key
• 金额: $ 40万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-12-15 至 2024-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1944412&HistoricalAwards=false
• 关键词: CAREER; Gravitational; Wave; Discovery; Space

We have learned from the history of astronomy to expect the unexpected when opening a new window with which to observe our universe. In order to maximize the discovery potential for the new field of gravitational wave astronomy, we need to make progress in our data analysis methods to identify and characterize gravitational wave signals. This project supports research in critical areas of gravitational wave data analysis for the LIGO, NANOGrav, and LISA collaborations while training undergraduate students who are typically underrepresented in the fields of physics and astronomy in gravitational wave astronomy research methods and science communication skills.The research objectives for this project are to develop Bayesian data analysis methods for astrophysical searches for LIGO, NANOGrav, and LISA. By coordinating and combining analyses across the full gravitational wave spectrum, ranging over 12 decades in frequency, this project will accomplish science beyond what could be done in any individual band alone. LIGO: development of a Bayesian search for gravitational wave signals from cosmic string cusps, detector characterization and instrument noise studies including optimization of data analysis for the full network of ground based gravitational wave observatories, and a comprehensive data analysis method for detecting and characterizing unexpected gravitational wave signals. NANOGrav: apply Bayesian analysis methods developed for LIGO data analysis to NANOGrav searches including noise and signal modeling. LISA: application of Bayesian analysis methods to optimize the science capabilities and discovery potential for the LISA mission including Extreme Mass Ratio Inspiral (EMRI) signals. The PI provides opportunities for students at a primarily undergraduate institution who are traditionally underrepresented in physics and astronomy to engage in forefront scientific research and outreach programs. The breadth of potential research projects for undergraduate students is critical for the educational experience, with interdisciplinary research teams supported through peer mentoring and student leadership roles. Student educational experiences will be assessed to inform and evaluate the undergraduate research and outreach experiences.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.

我们从天文学的历史中学到，在打开观察宇宙的新窗口时，要期待意想不到的事情。为了最大限度地发挥引力波天文学新领域的发现潜力，我们需要在识别和表征引力波信号的数据分析方法方面取得进展。该项目支持 LIGO、NANOGrav 和 LISA 合作的引力波数据分析关键领域的研究，同时对物理学和天文学领域代表性不足的本科生进行引力波天文学研究方法和科学交流技能的培训。该项目的研究目标是开发用于 LIGO、NANOGrav 和 LISA 天体物理搜索的贝叶斯数据分析方法。通过协调和组合整个引力波频谱（频率范围超过 12 个十进制）的分析，该项目将完成超越任何单独频段所能完成的科学工作。 LIGO：开发贝叶斯搜索宇宙弦尖点引力波信号、探测器表征和仪器噪声研究，包括优化整个地面引力波观测站网络的数据分析，以及用于探测和表征意外引力波信号的综合数据分析方法。 NANOGrav：将为 LIGO 数据分析开发的贝叶斯分析方法应用于 NANOGrav 搜索，包括噪声和信号建模。 LISA：应用贝叶斯分析方法来优化 LISA 任务的科学能力和发现潜力，包括极限质量比螺旋 (EMRI) 信号。 PI 为传统上在物理学和天文学领域代表性不足的本科院校学生提供参与前沿科学研究和推广项目的机会。本科生潜在研究项目的广度对于教育经历至关重要，跨学科研究团队通过同伴指导和学生领导角色提供支持。将对学生的教育经历进行评估，以告知和评估本科生的研究和推广经历。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。

项目成果

Space Public Outreach Team: Successful STEM Engagement on Complex Technical Topics

太空公共外展团队：成功参与复杂技术主题的 STEM 参与

• 发表时间: 2020
• 期刊: The Journal of computers in mathematics and science teaching
• 作者: Des Jardins, A.;Key, J.S.;Williamson, K.;Kimbrell, S.;De Saint-Georges, S.;Page, J.;Dolch, T.;Littenberg, T.B.
• 通讯作者: Littenberg, T.B.

Cosmology with standard sirens at cosmic noon

• DOI: 10.1103/physrevd.104.043507
• 发表时间: 2021-03
• 期刊: Physical Review D
• 影响因子: 5
• 作者: C. Ye;M. Fishbach

The NANOGrav 15 yr Data Set: Bayesian Limits on Gravitational Waves from Individual Supermassive Black Hole Binaries

• DOI: 10.3847/2041-8213/ace18a
• 发表时间: 2023-06
• 期刊: The Astrophysical Journal Letters
• 作者: G. Agazie;A. Anumarlapudi;A. Archibald;Z. Arzoumanian;P. Baker;B. B'ecsy;L. Blecha;A. Brazier;P. Brook;S. Burke-Spolaor;R. Case;J. A. Casey-Clyde;M. Charisi;S. Chatterjee;T. Cohen;J. Cordes;N. Cornish;F. Crawford;H. Cromartie;K. Crowter;M. DeCesar;P. Demorest;Matthew C. Digman;T. Dolch;B. Drachler;E. Ferrara;W. Fiore;E. Fonseca;Gabriel Freedman;N. Garver-Daniels;P. Gentile;J. Glaser;D. Good;K. Gultekin;J. Hazboun;S. Hourihane;R. Jennings;A. Johnson;Megan L. Jones;A. Kaiser;D. Kaplan;L. Kelley;M. Kerr;J. Key;N. Laal;M. Lam;W. Lamb;T. Lazio;N. Lewandowska;Tingting Liu;D. Lorimer;Jingshu Luo;R. Lynch;Chung-Pei Ma;D. Madison;A. McEwen;J. McKee;M. Mclaughlin;N. McMann;B. W. Meyers;P. Meyers;C. Mingarelli;A. Mitridate;P. Natarajan;C. Ng;D. Nice;S. Ocker;K. Olum;T. Pennucci;B. Perera;P. Petrov;N. Pol;H. Radovan;S. Ransom;P. Ray;Jo√£o Romano;S. C. Sardesai;A. Schmiedekamp;C. Schmiedekamp;K. Schmitz;B. Shapiro-Albert;X. Siemens;J. Simon;M. Siwek;I. Stairs;D. Stinebring;K. Stovall;A. Susobhanan;J. Swiggum;Jacob M. Taylor;S. Taylor;J. E. Turner;C. Unal;M. Vallisneri;R. V. Haasteren;S. Vigeland;H. Wahl;C. Witt;O. Young

Inferring the Neutron Star Maximum Mass and Lower Mass Gap in Neutron Star–Black Hole Systems with Spin

• DOI: 10.3847/1538-4357/ac7f99
• 发表时间: 2022-01
• 期刊: The Astrophysical Journal
• 作者: C. Ye;M. Fishbach

Constraining unmodeled physics with compact binary mergers from GWTC-1

• DOI: 10.1103/physrevd.103.042004
• 发表时间: 2020-08
• 期刊: Physical Review D
• 影响因子: 5
• 作者: B. Edelman;F. J. Rivera-Paleo;J. D. Merritt;B. Farr;Zoheyr Doctor;Jeandrew Brink;W. Farr;J. Gair;J. Key;J. McIver;A. Nielsen