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

Fuente: arXiv

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Bibliographic Details
Main Authors:	Liang, Bo, Liu, Chang, Song, Hanlin, Lyu, Zhenwei, Du, Minghui, Xu, Peng, Luo, Ziren, He, Sensen, Gu, Haohao, Zhao, Tianyu, Xu, Manjia Liang Yuxiang, Qiang, Li-e, Sun, Mingming, Qian, Wei-Liang
Format:	Preprint
Published:	2025
Subjects:	General Relativity and Quantum Cosmology Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics Space Physics
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2508.00348