• Corpus ID: 245634827

Using Neural Networks to Perform Rapid High-Dimensional Kilonova Parameter Inference

  title={Using Neural Networks to Perform Rapid High-Dimensional Kilonova Parameter Inference},
  author={Mouza Almualla and Yuhong Ning and Mattia Bulla and Tim Dietrich and Michael W. Coughlin and Nidhal Guessoum},
On the 17th of August, 2017 came the simultaneous detections of GW170817, a gravitational wave that originated from the coalescence of two neutron stars, along with the gamma-ray burst GRB170817A, and the kilonova counterpart AT2017gfo. Since then, there has been much excitement surrounding the study of neutron star mergers, both observationally, using a variety of tools, and theoretically, with the development of complex models describing the gravitational-wave and electromagnetic signals. In… 

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2019 b , Monthly Notices of the Royal Astronomical Society , 492 , 863
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