3 papers
gr-qc2025
Reconstruction of Black Hole Ringdown Signals with Data Gaps using a Deep-Learning Framework
Jing-Qi Lai, Jia-Geng Jiao, Cai-Ying Shao +2
We introduce DenoiseGapFiller (DGF), a deep-learning framework specifically designed to reconstruct gravitational-wave ringdown signals corrupted by data gaps and instrumental nois…
gr-qc2025
Numerical computation of electromagnetically sourced nonlinear tails
Zhen-Tao He, Jia Du, Jiageng Jiao +4
Amazingly, recent studies indicate that nonlinear effects are of great significance for modelling black hole ringdown. Transient electromagnetic events in the astrophysical environ…
gr-qc2024
The effects of data gaps on ringdown signals with space-based joint observation
Junxi Shi, Jiageng Jiao, Jingqi Lai +3
In space-based gravitational wave observatories such as Taiji, LISA, and TianQin, data gaps are inevitable due to mission design, implementation, and the long duration of observati…