Assessing the robustness of amortized simulation-based inference to transient noise in gravitational-wave ringdowns
This paper proposes an amortized simulation-based inference method using neural posterior estimation for gravitational-wave ringdown analysis, demonstrating that it achieves statistically consistent parameter estimates orders of magnitude faster than traditional Markov-chain methods while revealing that transient noise contamination significantly biases mass and spin estimates, particularly when glitches occur during the signal's tail.
Song-Tao Liu, Tian-Yang Sun, Yu-Xin Wang, Yong-Xin Zhang, Shang-Jie Jin, Jing-Fei Zhang, Xin ZhangFri, 13 Ma⚛️ gr-qc