Improving significance of binary black hole mergers in Advanced LIGO data using deep learning : Confirmation of GW151216

@article{Jadhav2021ImprovingSO,
  title={Improving significance of binary black hole mergers in Advanced LIGO data using deep learning : Confirmation of GW151216},
  author={S. J. Jadhav and Nikhil Mukund and Bhooshan Gadre and Sanjit Mitra and Sheelu Abraham},
  journal={ArXiv},
  year={2021},
  volume={abs/2010.08584}
}
We present a novel Machine Learning (ML) based strategy to search for compact binary coalescences (CBCs) in data from ground-based gravitational wave (GW) observatories. This is the first ML-based search that not only recovers all the binary black hole mergers in the first GW transients calalog (GWTC-1), but also makes a clean detection of GW151216, which was not significant enough to be included in the catalogue. Moreover, we achieve this by only adding a new coincident ranking statistic… Expand

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