63 citations · 424 across the 31 of their papers we have counts for
13 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…
Interior structure of black holes with nonlinear terms
Zi-Qiang Zhao, Zhang-Yu Nie, Xing-Kun Zhang +3
We investigate the oscillation of the Kasner exponent near critical point of the hairy black holes dual to holographic superfluid and reveal a clear inverse periodicity $f(T_…
Universal geometric framework for black hole phase transitions: from multivaluedness to classification
Shi-Hao Zhang, Zi-Yuan Li, Jing-Fei Zhang +1
Recent studies have revealed synchronized multivalued behavior in thermodynamic, dynamical, and geometric quantities during the black hole first-order phase transition, which enabl…
Phase transitions in scalarized topological AdS black holes
Zi-Qiang Zhao, Zhang-Yu Nie, Shao-Wen Wei +2
We investigate the behavior of black hole scalarization induced by a charged scalar field in the extended phase space of the asymptotic AdS spacetime with three distinct horizon to…
Geometric unification of timelike orbital chaos and phase transitions in black holes
Shi-Hao Zhang, Zi-Yuan Li, Jing-Fei Zhang +1
The deep connection between black hole thermodynamics and spacetime geometry remains a central focus of general relativity. While recent studies have revealed a precise corresponde…
Gaussian curvature and Lyapunov exponent as probes of black hole phase transitions
Shi-Hao Zhang, Zi-Qiang Zhao, Zi-Yuan Li +2
First-order phase transitions of black holes have been extensively studied within thermodynamic frameworks, yet the corresponding evolution of spacetime geometric properties remain…
Characterized behaviors of black hole thermodynamics in the supercritical region
Zi-Qiang Zhao, Zhang-Yu Nie, Jing-Fei Zhang +1
The comprehension of universal thermodynamic behaviors in the supercritical region is crucial for examining the characteristics of black hole systems under high temperature and pre…
Constraining parity and Lorentz violations in gravity with future ground- and space-based gravitational wave detectors
Bo-Yang Zhang, Tao Zhu, Jian-Ming Yan +2
The future ground- and space-based gravitational wave (GW) detectors offer unprecedented opportunities to test general relativity (GR) with greater precision. In this work, we inve…
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…
Forecasts for Constraining Lorentz-violating Damping of Gravitational Waves from Compact Binary Inspirals
Bo-Yang Zhang, Tao Zhu, Jing-Fei Zhang +1
Violation of Lorentz symmetry can result in two distinct effects in the propagation of the gravitational waves (GWs). One is a modified dispersion relation and another is a frequen…
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…