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Deep learning method develops very fast as a tool for data analysis theseyears. Such a technique is quite promising to treat gravitational wavedetection data. There are many works already in the literature which used deeplearning technique to process simulated gravitational wave data. In this paperwe apply deep learning to LIGO O1 data. In order to improve the weak signalrecognition we adjust the convolutional neural network (CNN) a little bit. Ouradjusted convolutional neural network admits comparable accuracy and efficiencyof signal recognition as other deep learning works published in the literature.Based on our adjusted CNN, we can clearly recognize the eleven confirmedgravitational wave events included in O1 and O2. And more we find about 2000gravitational wave triggers in O1 data.

Gravitational wave signal recognition of O1 data by deep learning