3 citations · 6 across the 5 of their papers we have counts for
5 papers
Efficient Evaluation of Gravitational Lensing Amplification Factors: A Deep Learning Framework
Fan Zhang, Qikai Zhang, Qiyuan Yang +2
Wave optics is essential for analyzing lensed gravitational waves (GWs), yet evaluating the diffraction integral is computationally expensive. We present a Sinusoidal Rep…
Classifying Core-Collapse Supernova Gravitational Waves using Supervised Contrastive Learning
Ao-Bo Wang, Yong Yuan, Hao Cai +1
The detection and reconstruction of gravitational waves from core-collapse supernovae (CCSN) present significant challenges due to the highly stochastic nature of the signals and t…
Waveform Reconstruction of Core-Collapse Supernova Gravitational Waves with Improved Multisynchrosqueezing Transform
Yong Yuan, Ao-Ran Wang, Zhuo-Tao Li +4
Gravitational waves (GWs) from core-collapse supernovae (CCSNe) have been proposed as a means to probe the internal physical properties of supernovae. However, due to their complex…
Observability of gravitational waves excited by binary stars orbiting around a supermassive black hole by space-based gravitational wave observatory
Kun Meng, Hongsheng Zhang, Xi-Long Fan +2
We produce the gravitational waveforms for the extreme mass ratio inspiral systems (EMRIs) of binary stars moving around central supermassive black hole (SBH), or called B-EMRIs. W…
Waveform Reconstruction of Core-Collapse Supernovae Gravitational-Waves with Ensemble Empirical Mode Decomposition
Yong Yuan, Xi-Long Fan, Hou-Jun Lü +2
The gravitational waves (GW) from core-collapse supernovae (CCSN) have been proposed as a probe to investigate physical properties inside of the supernova. However, how to search a…