203 citations · 2.5k across the 82 of their papers we have counts for
6 papers · 1 filter
Dilated convolutional neural network for detecting extreme-mass-ratio inspirals
Tianyu Zhao, Yue Zhou, Ruijun Shi +2
The detection of Extreme Mass Ratio Inspirals (EMRIs) is intricate due to their complex waveforms, extended duration, and low signal-to-noise ratio (SNR), making them more challeng…
MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge
Marlin B. Schäfer, Ondřej Zelenka, Alexander H. Nitz +20
We present the results of the first Machine Learning Gravitational-Wave Search Mock Data Challenge (MLGWSC-1). For this challenge, participating groups had to identify gravitationa…
Ensemble of Deep Convolutional Neural Networks for real-time gravitational wave signal recognition
CunLiang Ma, Wei Wang, He Wang +1
With the rapid development of deep learning technology, more and more researchers apply it to gravitational wave (GW) data analysis. Previous studies focused on a single deep learn…
Measuring eccentricity of binary black holes in GWTC-1 by using inspiral-only waveform
Shichao Wu, Zhoujian Cao, Zong-Hong Zhu
In this paper, we estimate the eccentricity of the 10 BBHs in GWTC-1 by using the inspiral-only BBH waveform template EccentricFD. Firstly, we test our method with simulated eccent…
Gravitational wave signal recognition of O1 data by deep learning
He Wang, Zhoujian Cao, Xiaolin Liu +2
Deep learning method develops very fast as a tool for data analysis these years. Such a technique is quite promising to treat gravitational wave detection data. There are many work…
Roadmap for gravitational wave detection in space - a preliminary study
Wei Gao, Peng Xu, Xing Bian +14
Part of a review paper entitled "Gravitational wave astronomy: the current status.", appeared in " Science China Physics, Mechanics & Astronomy 58.12 (2015): 1-41.