240 citations · 745 across the 19 of their papers we have counts for
5 papers · 1 filter
Adapting the PyCBC pipeline to find and infer the properties of gravitational waves from massive black hole binaries in LISA
Connor R. Weaving, Laura K. Nuttall, Ian W. Harry +2
The Laser Interferometer Space Antenna (LISA), due for launch in the mid 2030s, is expected to observe gravitational waves (GW)s from merging massive black hole binaries (MBHB)s. T…
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…
Mock data study for next-generation ground-based detectors: The performance loss of matched filtering due to correlated confusion noise
Shichao Wu, Alexander H. Nitz
The next-generation (3G/XG) ground-based gravitational-wave (GW) detectors such as Einstein Telescope (ET) and Cosmic Explorer (CE) will begin observing in the next decade. Due to…
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…