Unlocking New Paths for Science with Extreme-Mass-Ratio Inspirals: Machine Learning-Enhanced MCMC for Accurate Parameter Inversion

作者：Bo Liang, Chang Liu, Hanlin Song, Zhenwei Lyu, Minghui Du, Peng Xu, Ziren Luo, Sensen He, Haohao Gu, Tianyu Zhao, Manjia Liang, Yuxiang Xu, Li-e Qiang, Mingming Sun, Wei-Liang Qian · 单位：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, School of Physics, Peking University, Beijing 100871, China, Leicester International Institute, Dalian University of Technology, Panjin 124221, China, Lanzhou Center of Theoretical Physics, Lanzhou University, Lanzhou 730000, China, Center for Gravitational Wave Experiment, National Microgravity Laboratory, Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China, Key Laboratory of Gravitational Wave Precision Measurement of Zhejiang Province, Hangzhou Institute for Advanced Study, UCAS, Hangzhou 310024, China, AGI Lab, Beijing Institute of Mathematical Sciences and Applications, Beijing, China · 会议/期刊：arXiv preprint · 方向：6D位姿 · 发布日期：2025-08-26