21 citations · 33 across the 5 of their papers we have counts for
5 papers
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…
Factorized neural posterior estimation for rapid and reliable inference of parameterized post-Einsteinian deviation parameters in gravitational waves
Yong-Xin Zhang, Tian-Yang Sun, Chun-Yu Xiong +5
The direct detection of gravitational waves (GWs) by LIGO has confirmed general relativity (GR), but testing GR via GWs requires estimating parameterized post-Einsteinian (ppE) dev…
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…
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…