Deep Neural Networks to Enable Real-time Multimessenger Astrophysics

@article{George2017DeepNN,
  title={Deep Neural Networks to Enable Real-time Multimessenger Astrophysics},
  author={Daniel George and Eliu A. Huerta},
  journal={ArXiv},
  year={2017},
  volume={abs/1701.00008}
}
Gravitational wave astronomy has set in motion a scientific revolution. To further enhance the science reach of this emergent field, there is a pressing need to increase the depth and speed of the gravitational wave algorithms that have enabled these groundbreaking discoveries. To contribute to this effort, we introduce Deep Filtering, a new highly scalable method for end-to-end time-series signal processing, based on a system of two deep convolutional neural networks, which we designed for… 

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