Premerger detection of massive black hole binaries using deep learning
WH Ruan, ZK Guo - Physical Review D, 2024 - APS
Coalescing massive black hole binaries (MBHBs) are one of primary sources for space-
based gravitational wave (GW) observations. The mergers of these binaries are expected to …
based gravitational wave (GW) observations. The mergers of these binaries are expected to …
Convolutional neural networks for signal detection in real LIGO data
O Zelenka, B Brügmann, F Ohme - Physical Review D, 2024 - APS
Searching the data of gravitational-wave detectors for signals from compact binary mergers
is a computationally demanding task. Recently, machine-learning algorithms have been …
is a computationally demanding task. Recently, machine-learning algorithms have been …
Detection of gravitational wave signals from precessing binary black hole systems using convolutional neural networks
Current searches for gravitational waves (GWs) from black hole binaries using the LIGO and
Virgo observatories are limited to analytical models for systems with black hole spins …
Virgo observatories are limited to analytical models for systems with black hole spins …
Efficient parameter inference for gravitational wave signals in the presence of transient noises using temporal and time-spectral fusion normalizing flow
TY Sun, CY Xiong, SJ Jin, YX Wang, JF Zhang… - Chinese …, 2024 - iopscience.iop.org
Glitches represent a category of non-Gaussian and transient noise that frequently intersects
with gravitational wave (GW) signals, thereby exerting a notable impact on the processing of …
with gravitational wave (GW) signals, thereby exerting a notable impact on the processing of …
Rapid identification of time-frequency domain gravitational wave signals from binary black holes using deep learning
YX Wang, SJ Jin, TY Sun, JF Zhang… - Chinese Physics C, 2024 - iopscience.iop.org
Recent developments in deep learning techniques have provided alternative and
complementary approaches to the traditional matched-filtering methods for identifying …
complementary approaches to the traditional matched-filtering methods for identifying …
Using deep learning to denoise and detect gravitational waves
CL Ma, SQ Li, Z Cao, M Jia - Physical Review D, 2024 - APS
We have upgraded the MSNRnet framework to MSNRnet-2 by refining the training strategy,
drawing inspiration from generative adversarial networks for data generation. The …
drawing inspiration from generative adversarial networks for data generation. The …
Detection of binary black hole mergers from the signal-to-noise ratio time series using deep learning
Gravitational wave detection has opened up new avenues for exploring and understanding
some of the fundamental principles of the universe. The optimal method for detecting …
some of the fundamental principles of the universe. The optimal method for detecting …
Automated design of digital filters using convolutional neural networks for extracting ringdown gravitational waves
K Sakai, S Odonchimed, M Takano… - … Learning: Science and …, 2024 - iopscience.iop.org
The observation of gravitational waves is expected to allow new tests of general relativity to
be performed. As the gravitational wave signal is hidden by detector noise in observed data …
be performed. As the gravitational wave signal is hidden by detector noise in observed data …
Gravitational Wave Mixture Separation for Future Gravitational Wave Observatories Utilizing Deep Learning
C Ma, W Zhou, Z Cao - arXiv preprint arXiv:2407.13239, 2024 - arxiv.org
Future GW observatories, such as the Einstein Telescope (ET), are expected to detect
gravitational wave signals, some of which are likely to overlap with each other. This overlap …
gravitational wave signals, some of which are likely to overlap with each other. This overlap …
Novel deep learning approach to detecting binary black hole mergers
Gravitational wave detection has opened up new avenues for exploring and understanding
some of the fundamental principles of the Universe. The optimal method for detecting …
some of the fundamental principles of the Universe. The optimal method for detecting …