Core-Collapse Supernova Gravitational-Wave Search and Deep Learning Classification

@article{Iess2020CoreCollapseSG,
  title={Core-Collapse Supernova Gravitational-Wave Search and Deep Learning Classification},
  author={A. Iess and Elena Cuoco and Filip Morawski and Jade Powell},
  journal={ArXiv},
  year={2020},
  volume={abs/2001.00279}
}
  • A. Iess, Elena Cuoco, +1 author Jade Powell
  • Published in ArXiv 2020
  • Physics, Computer Science
  • We describe a search and classification procedure for gravitational waves emitted by core-collapse supernova (CCSN) explosions, using a convolutional neural network (CNN) combined with an event trigger generator known as Wavelet Detection Filter (WDF). We employ both a 1-D CNN search using time series gravitational-wave data as input, and a 2-D CNN search with time-frequency representation of the data as input. To test the accuracies of our 1-D and 2-D CNN classification, we add CCSN waveforms… CONTINUE READING

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