2 papers
gr-qc2026
Robust parameter inference for Taiji via time-frequency contrastive learning and normalizing flows
Tian-Yang Sun, Bo Liang, Ji-Yu Song +6
Transient noise artifacts, commonly referred to as glitches, pose a major challenge to parameter inference for space-based gravitational-wave (GW) observations. We develop a glitch…
gr-qc2026
Assessing the robustness of amortized simulation-based inference to transient noise in gravitational-wave ringdowns
Song-Tao Liu, Tian-Yang Sun, Yu-Xin Wang +4
Gravitational waves (GW) emitted by binary systems allow us to perform precision tests of general relativity in the strong field regime. Ringdown signals allow for probing black ho…