Advancing space-based gravitational wave astronomy: Rapid parameter estimation via normalizing flows
文献类型:期刊论文
作者 | Du, Minghui8; Liang, Bo4,6,7; Wang, He4,5; Xu, Peng3,4,7,8; Luo, Ziren4,7,8; Wu, Yueliang1,2,5,7; Luo ZR(罗子人) |
刊名 | SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY |
出版日期 | 2024-03-01 |
卷号 | 67期号:3页码:14 |
ISSN号 | 1674-7348 |
关键词 | Taiji program gravitational wave detection parameter estimation machine learning |
DOI | 10.1007/s11433-023-2270-7 |
通讯作者 | Wang, He(hewang@ucas.ac.cn) ; Wu, Yueliang(ylwu@itp.ac.cn) |
英文摘要 | Gravitational wave (GW) astronomy is witnessing a transformative shift from terrestrial to space-based detection, with missions like Taiji at the forefront. While the transition brings unprecedented opportunities for exploring massive black hole binaries (MBHBs), it also imposes complex challenges in data analysis, particularly in parameter estimation amidst confusion noise. Addressing this gap, we utilize scalable normalizing flow models to achieve rapid and accurate inference within the Taiji environment. Innovatively, our approach simplifies the data's complexity, employs a transformation mapping to overcome the year-period time-dependent response function, and unveils additional multimodality in the arrival time parameter. Our method estimates MBHBs several orders of magnitude faster than conventional techniques, maintaining high accuracy even in complex backgrounds. These findings significantly enhance the efficiency of GW data analysis, paving the way for rapid detection and alerting systems and enriching our ability to explore the universe through space-based GW observation. |
资助项目 | National Key Research and Development Program of China[2021YFC2203004] ; National Key Research and Development Program of China[2021YFC2201903] ; National Natural Science Foundation of China[12147103] ; National Natural Science Foundation of China[12247187] ; Fundamental Research Funds for the Central Universities |
WOS研究方向 | Physics |
语种 | 英语 |
WOS记录号 | WOS:001155349400002 |
资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities |
源URL | [http://dspace.imech.ac.cn/handle/311007/94357] |
专题 | 力学研究所_国家微重力实验室 |
通讯作者 | Wang, He; Wu, Yueliang |
作者单位 | 1.Chinese Acad Sci, Inst Theoret Phys, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Hangzhou Inst Adv Study, Hangzhou 310024, Peoples R China 3.Lanzhou Univ, Lanzhou Ctr Theoret Phys, Lanzhou 730000, Peoples R China 4.Univ Chinese Acad Sci, Taiji Lab Gravitat Wave Universe Beijing Hangzhou, Beijing 100049, Peoples R China 5.Univ Chinese Acad Sci, Int Ctr Theoret Phys Asia Pacific, Beijing 100049, Peoples R China 6.Chinese Acad Sci, Shanghai Inst Opt & Fine Mech, Shanghai 201800, Peoples R China 7.Univ Chinese Acad Sci, Hangzhou Inst Adv Study, Key Lab Gravitat Wave Precis Measurement Zhejiang, Hangzhou 310024, Peoples R China 8.Chinese Acad Sci, Inst Mech, Ctr Gravitat Wave Expt, Natl Micrograv Lab, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Du, Minghui,Liang, Bo,Wang, He,et al. Advancing space-based gravitational wave astronomy: Rapid parameter estimation via normalizing flows[J]. SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY,2024,67(3):14. |
APA | Du, Minghui.,Liang, Bo.,Wang, He.,Xu, Peng.,Luo, Ziren.,...&罗子人.(2024).Advancing space-based gravitational wave astronomy: Rapid parameter estimation via normalizing flows.SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY,67(3),14. |
MLA | Du, Minghui,et al."Advancing space-based gravitational wave astronomy: Rapid parameter estimation via normalizing flows".SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY 67.3(2024):14. |
入库方式: OAI收割
来源:力学研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。