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Toward Efficient and Accurate EMRI Parameter Estimation: A Machine Learning-Enhanced MCMC Framework.

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Title: Toward Efficient and Accurate EMRI Parameter Estimation: A Machine Learning-Enhanced MCMC Framework.
Authors: Liang B; Center for Gravitational Wave Experiment, National Microgravity Laboratory, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China.; Taiji Laboratory for Gravitational Wave Universe (Beijing/Hangzhou), University of Chinese Academy of Sciences (UCAS), Beijing 100049, China., Liu C; Center for Gravitational Wave Experiment, National Microgravity Laboratory, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China.; Taiji Laboratory for Gravitational Wave Universe (Beijing/Hangzhou), University of Chinese Academy of Sciences (UCAS), Beijing 100049, China.; National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China., Song H; School of Physics, Peking University, Beijing 100871, China., Lyu Z; Leicester International Institute, Dalian University of Technology, Panjin 124221, China., Du M; Center for Gravitational Wave Experiment, National Microgravity Laboratory, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China., Xu P; Center for Gravitational Wave Experiment, National Microgravity Laboratory, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China.; Taiji Laboratory for Gravitational Wave Universe (Beijing/Hangzhou), University of Chinese Academy of Sciences (UCAS), Beijing 100049, China.; Lanzhou Center of Theoretical Physics, Lanzhou University, Lanzhou 730000, China., Luo Z; Center for Gravitational Wave Experiment, National Microgravity Laboratory, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China.; Taiji Laboratory for Gravitational Wave Universe (Beijing/Hangzhou), University of Chinese Academy of Sciences (UCAS), Beijing 100049, China.; Key Laboratory of Gravitational Wave Precision Measurement of Zhejiang Province, Hangzhou Institute for Advanced Study, UCAS, Hangzhou 310024, China., He S; Baidu Inc., Beijing 100085, China., Gu H; Baidu Inc., Beijing 100085, China., Zhao T; Center for Gravitational Wave Experiment, National Microgravity Laboratory, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China., Liang M; Center for Gravitational Wave Experiment, National Microgravity Laboratory, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China., Xu Y; Center for Gravitational Wave Experiment, National Microgravity Laboratory, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China., Qiang LE; National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China., Sun M; AGI Lab, Beijing Institute of Mathematical Sciences and Applications, Beijing, China., Qian WL; Escola de Engenharia de Lorena, Universidade de São Paulo, 12602-810 Lorena, SP, Brazil.
Source: Research (Washington, D.C.) [Research (Wash D C)] 2026 Jan 08; Vol. 9, pp. 1055. Date of Electronic Publication: 2026 Jan 08 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: American Association for the Advancement of Science Country of Publication: United States NLM ID: 101747148 Publication Model: eCollection Cited Medium: Internet ISSN: 2639-5274 (Electronic) Linking ISSN: 26395274 NLM ISO Abbreviation: Research (Wash D C) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Toward Efficient and Accurate EMRI Parameter Estimation: A Machine Learning-Enhanced MCMC Framework.
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  Data: <searchLink fieldCode="AU" term="%22Liang+B%22">Liang B</searchLink>; Center for Gravitational Wave Experiment, National Microgravity Laboratory, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China.; Taiji Laboratory for Gravitational Wave Universe (Beijing/Hangzhou), University of Chinese Academy of Sciences (UCAS), Beijing 100049, China.<br /><searchLink fieldCode="AU" term="%22Liu+C%22">Liu C</searchLink>; Center for Gravitational Wave Experiment, National Microgravity Laboratory, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China.; Taiji Laboratory for Gravitational Wave Universe (Beijing/Hangzhou), University of Chinese Academy of Sciences (UCAS), Beijing 100049, China.; National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China.<br /><searchLink fieldCode="AU" term="%22Song+H%22">Song H</searchLink>; School of Physics, Peking University, Beijing 100871, China.<br /><searchLink fieldCode="AU" term="%22Lyu+Z%22">Lyu Z</searchLink>; Leicester International Institute, Dalian University of Technology, Panjin 124221, China.<br /><searchLink fieldCode="AU" term="%22Du+M%22">Du M</searchLink>; Center for Gravitational Wave Experiment, National Microgravity Laboratory, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China.<br /><searchLink fieldCode="AU" term="%22Xu+P%22">Xu P</searchLink>; Center for Gravitational Wave Experiment, National Microgravity Laboratory, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China.; Taiji Laboratory for Gravitational Wave Universe (Beijing/Hangzhou), University of Chinese Academy of Sciences (UCAS), Beijing 100049, China.; Lanzhou Center of Theoretical Physics, Lanzhou University, Lanzhou 730000, China.<br /><searchLink fieldCode="AU" term="%22Luo+Z%22">Luo Z</searchLink>; Center for Gravitational Wave Experiment, National Microgravity Laboratory, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China.; Taiji Laboratory for Gravitational Wave Universe (Beijing/Hangzhou), University of Chinese Academy of Sciences (UCAS), Beijing 100049, China.; Key Laboratory of Gravitational Wave Precision Measurement of Zhejiang Province, Hangzhou Institute for Advanced Study, UCAS, Hangzhou 310024, China.<br /><searchLink fieldCode="AU" term="%22He+S%22">He S</searchLink>; Baidu Inc., Beijing 100085, China.<br /><searchLink fieldCode="AU" term="%22Gu+H%22">Gu H</searchLink>; Baidu Inc., Beijing 100085, China.<br /><searchLink fieldCode="AU" term="%22Zhao+T%22">Zhao T</searchLink>; Center for Gravitational Wave Experiment, National Microgravity Laboratory, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China.<br /><searchLink fieldCode="AU" term="%22Liang+M%22">Liang M</searchLink>; Center for Gravitational Wave Experiment, National Microgravity Laboratory, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China.<br /><searchLink fieldCode="AU" term="%22Xu+Y%22">Xu Y</searchLink>; Center for Gravitational Wave Experiment, National Microgravity Laboratory, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China.<br /><searchLink fieldCode="AU" term="%22Qiang+LE%22">Qiang LE</searchLink>; National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China.<br /><searchLink fieldCode="AU" term="%22Sun+M%22">Sun M</searchLink>; AGI Lab, Beijing Institute of Mathematical Sciences and Applications, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Qian+WL%22">Qian WL</searchLink>; Escola de Engenharia de Lorena, Universidade de São Paulo, 12602-810 Lorena, SP, Brazil.
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  Data: <searchLink fieldCode="JN" term="%22101747148%22">Research (Washington, D.C.)</searchLink> [Research (Wash D C)] 2026 Jan 08; Vol. 9, pp. 1055. <i>Date of Electronic Publication: </i>2026 Jan 08 (<i>Print Publication: </i>2026).
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