21 citations · 64 across the 13 of their papers we have counts for
7 papers · 1 filter
Identifying lensed gravitational waves with physics-informed posterior learning
Tian-Yang Sun, Xiao Guo, Jing-Fei Zhang +1
Gravitational lensing of gravitational waves can probe compact lenses, dark matter substructure, and cosmological distances, but identifying lensed events is difficult when unrelat…
Contrastive self-supervised convolutional autoencoder for core-collapse supernova gravitational-wave detection
Tian-Yang Sun, Yue Niu, Chun-Yan Jiang +3
Gravitational-wave astronomy has opened a direct observational window onto compact-object dynamics, strong-field gravity, and cosmology. Among the transient sources accessible thro…
Parameter inference of millilensed gravitational waves using neural spline flows
Zheng Qin, Tian-Yang Sun, Bo-Yuan Li +3
When gravitational waves (GWs) propagate near massive objects, they undergo gravitational lensing that imprints lens model dependent modulations on the waveform. This effect provid…
Search for exotic gravitational wave signals beyond general relativity using deep learning
Yu-Xin Wang, Xiaotong Wei, Chun-Yue Li +6
The direct detection of gravitational waves by LIGO has confirmed general relativity (GR) and sparked rapid growth in gravitational wave (GW) astronomy. However, subtle post-Newton…
Robust inference of gravitational wave source parameters in the presence of noise transients using normalizing flows
Chun-Yu Xiong, Tian-Yang Sun, Jing-Fei Zhang +1
Gravitational wave (GW) detection is of paramount importance in fundamental physics and GW astronomy, yet it presents formidable challenges. One significant challenge is the remova…
Efficient parameter inference for gravitational wave signals in the presence of transient noises using temporal and time-spectral fusion normalizing flow
Tian-Yang Sun, Chun-Yu Xiong, Shang-Jie Jin +3
Glitches represent a category of non-Gaussian and transient noise that frequently intersects with gravitational wave (GW) signals, exerting a notable impact on the processing of GW…
Rapid identification of time-frequency domain gravitational wave signals from binary black holes using deep learning
Yu-Xin Wang, Shang-Jie Jin, Tian-Yang Sun +2
Recent developments in deep learning techniques have offered an alternative and complementary approach to traditional matched filtering methods for the identification of gravitatio…