8 citations · 11 across the 8 of their papers we have counts for
8 papers
Time-Domain Deep Learning for Pairwise Identification of Strongly Lensed Gravitational-Wave Candidates
Fan Zhang, Qikai Zhang, Qiyuan Yang +3
As gravitational wave (GW) catalogs continue to expand, exhaustive Bayesian comparisons of candidate event pairs become increasingly computationally expensive, which motivates the…
Measuring the Hubble constant with strongly lensed gravitational waves from space-based detector networks
Yong Yuan, Minghui Du, Wen-Fan Feng +4
The measurement of the Hubble constant plays a central role in modern cosmology. In this work, we investigate the potential of strongly lensed gravitational-wave (SLGW) signa…
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…
Bayesian Analysis of Gravitational Wave Microlensing Effects from Galactic Double White Dwarfs
Yan Sun, Yong Yuan, Minghui Du +3
Gravitational waves (GWs) from the galactic double white dwarf (DWD) systems are one of the primary targets for upcoming space-based detectors. Due to their vast abundance and wide…
An Opacity-Free Test of the Cosmic Distance Duality Relation Using Strongly Lensed Gravitational Wave Signals with Space-Based Detector Networks
Yong Yuan, Minghui Du, Benyang Zhu +4
The cosmic distance duality relation (CDDR), expressed as , is a fundamental relation in modern cosmology. In this work, we apply a method to test the CDDR…
Bayesian Analysis of Wave-Optics Gravitationally Lensed Massive Black Hole Binaries with Space-Based Gravitational Wave Detector
Yong Yuan, Minghui Du, Xin-yi Lin +2
Within a Bayesian statistical framework, we jointly estimate the source and lens parameters and evaluate the relative evidence between the lensed and unlensed models. This work foc…
Towards Realistic Detection Pipelines of Taiji: New Challenges in Data Analysis and High-Fidelity Simulations of Space-Based Gravitational Wave Antenna
Minghui Du, Pengcheng Wang, Ziren Luo +23
Taiji, a Chinese space-based gravitational wave (GW) detection project, aims to explore the millihertz GW universe with unprecedented sensitivity. By observing astrophysical and co…
Rapid Parameter Estimation for Extreme Mass Ratio Inspirals Using Machine Learning
Bo Liang, Hong Guo, Tianyu Zhao +11
Extreme-mass-ratio inspiral (EMRI) signals pose significant challenges in gravitational wave (GW) astronomy owing to their low-frequency nature and highly complex waveforms, which…