It has been a half-decade since the first direct detection of gravitational waves, which
signifies the coming of the era of the gravitational-wave astronomy and gravitational-wave …

Quantum optimization algorithms can outperform their classical counterpart and are key in
modern technology. The second-order optimization algorithm (the Newton algorithm) is a …

In recent years, convolutional neural network (CNN) and other deep learning models have
been gradually introduced into the area of gravitational-wave (GW) data processing …

In recent years, machine learning models have been introduced into the field of gravitational
wave (GW) data processing. In this paper, we apply the convolutional neural network (CNN) …

We have upgraded the MSNRnet framework to MSNRnet-2 by refining the training strategy,
drawing inspiration from generative adversarial networks for data generation. The …

In our previous work [Physical Review D, 2024, 109 (4): 043009], we introduced MSNRnet, a
framework integrating deep learning and matched filtering methods for gravitational wave …

The spin characteristics of black holes offer valuable insights into the evolutionary pathways
of their progenitor stars. This is crucial for understanding the broader population properties …

Gravitational wave signals contain frequency components that change over time, making it
challenging to analyze these non-stationary signals directly from time-domain data. Time …