4 papers
Compact Binary Coalescence Gravitational Wave Signals Counting and Separation
Tianyu Zhao, Yue Zhou, Ruijun Shi +3
As next-generation gravitational-wave (GW) observatories approach unprecedented sensitivities, the need for robust methods to analyze increasingly complex, overlapping signals beco…
GWAI: Artificial Intelligence Platform for Enhanced Gravitational Wave Data Analysis
Tianyu Zhao, Yue Zhou, Ruijun Shi +2
Gravitational wave (GW) astronomy has opened new frontiers in understanding the cosmos, while the integration of artificial intelligence (AI) in science promises to revolutionize d…
Dawning of a New Era in Gravitational Wave Data Analysis: Unveiling Cosmic Mysteries via Artificial Intelligence -- A Systematic Review
Tianyu Zhao, Ruijun Shi, Yue Zhou +2
Gravitational wave data analysis (GWDA) faces significant challenges due to high-dimensional parameter spaces and non-Gaussian, non-stationary artifacts in the interferometer backg…
Rapid eccentric spin-aligned binary black hole waveform generation based on deep learning
Ruijun Shi, Yue Zhou, Tianyu Zhao +2
Accurate waveform templates of binary black holes (BBHs) with eccentric orbits are essential for the detection and precise parameter estimation of gravitational waves (GWs). While…