21 citations · 64 across the 13 of their papers we have counts for
14 papers
Assessing the consistency of the CPL dark-energy model with cosmological data: Simulation-calibrated neural posterior disagreement
Tian-Yang Sun, Tian-Nuo Li, Guo-Hong Du +3
Recent DESI observations hint at a preference for dynamical dark energy with an equation of state that crosses the phantom divide within the Chevallier-Polarski-Linder (CPL) parame…
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…
Exploring the Cosmic Dawn through the 21 cm Forest and High-redshift Radio Sources with the SKA
Junsong Cang, Benedetta Ciardi, Barun Maity +12
The 21~cm forest, seen as absorption features in the spectra of distant radio sources, is produced by intervening neutral hydrogen and offers a direct probe of the neutral intergal…
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…
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…
Conditional variational autoencoders for cosmological model discrimination and anomaly detection in cosmic microwave background power spectra
Tian-Yang Sun, Tian-Nuo Li, He Wang +2
The cosmic microwave background power spectra are a primary window into the early universe. However, achieving interpretable compression and fast inference diagnostics under weak m…
Gravitational wave standard sirens: A brief review of cosmological parameter estimation
Shang-Jie Jin, Ji-Yu Song, Tian-Yang Sun +5
Gravitational wave (GW) observations are expected to serve as a powerful and independent probe of the expansion history of the universe. By providing direct and calibration-free me…
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…
Analytical modeling of the one-dimensional power spectrum of 21-cm forest based on a halo model method
Yue Shao, Tian-Yang Sun, Meng-Lin Zhao +1
The 21-cm forest, composed of spectral absorption features from high-redshift background radio sources, provides a unique probe for studying small-scale structures during the epoch…
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…
Deep learning-driven likelihood-free parameter inference for 21-cm forest observations
Tian-Yang Sun, Yue Shao, Yichao Li +3
The hyperfine structure absorption lines of neutral hydrogen in spectra of high-redshift radio sources, known collectively as the 21-cm forest, have been demonstrated as a sensitiv…
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…