MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge

1 code implementation • 22 Sep 2022 • Marlin B. Schäfer, Ondřej Zelenka, Alexander H. Nitz, He Wang, Shichao Wu, Zong-Kuan Guo, Zhoujian Cao, Zhixiang Ren, Paraskevi Nousi, Nikolaos Stergioulas, Panagiotis Iosif, Alexandra E. Koloniari, Anastasios Tefas, Nikolaos Passalis, Francesco Salemi, Gabriele Vedovato, Sergey Klimenko, Tanmaya Mishra, Bernd Brügmann, Elena Cuoco, E. A. Huerta, Chris Messenger, Frank Ohme

The final of the 4 provided datasets contained real noise from the O3a observing run and signals up to a duration of 20 seconds with the inclusion of precession effects and higher order modes.

Gravitational wave signal recognition of O1 data by deep learning

1 code implementation • 30 Sep 2019 • He Wang, Zhoujian Cao, Xiaolin Liu, Shichao Wu, Jian-Yang Zhu

Our adjusted convolutional neural network admits comparable accuracy and efficiency of signal recognition as other deep learning works published in the literature.

Instrumentation and Methods for Astrophysics General Relativity and Quantum Cosmology