Rapid Parameter Estimation for Extreme Mass Ratio Inspirals Using Machine Learning

no code implementations • 12 Sep 2024 • Bo Liang, Hong Guo, Tianyu Zhao, He Wang, Herik Evangelinelis, Yuxiang Xu, Chang Liu, Manjia Liang, Xiaotong Wei, Yong Yuan, Peng Xu, Minghui Du, Wei-Liang Qian, Ziren Luo

Extreme-mass-ratio inspiral (EMRI) signals pose significant challenges in gravitational wave (GW) astronomy owing to their low-frequency nature and highly complex waveforms, which occupy a high-dimensional parameter space with numerous variables.

Astronomy Computational Efficiency