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
Description
ISSN:2639-5274
DOI:10.34133/research.1055