Identification of Binary Neutron Star Mergers in Gravitational-Wave Data Using YOLO One-Shot Object Detection

@article{Aveiro2022IdentificationOB,
  title={Identification of Binary Neutron Star Mergers in Gravitational-Wave Data Using YOLO One-Shot Object Detection},
  author={Jo{\~a}o L. Aveiro and Felipe F. Freitas and M{\'a}rcio Ferreira and Ant{\'o}nio Onofre and Constança Provid{\^e}ncia and Gonçalo Gonçalves and Jos{\'e} A. Font},
  journal={ArXiv},
  year={2022},
  volume={abs/2207.00591}
}
We demonstrate the application of the YOLOv5 model, a general purpose convolution-based single-shot object detection model, in the task of detecting binary neutron star (BNS) coalescence events from gravitational-wave data of current generation interferometer detectors. We also present a thorough explanation of the synthetic data generation and preparation tasks based on approximant waveform models used for the model training, validation and testing steps. Using this approach, we achieve mean… 

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THE Virgo COLLABORATION

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A listing of members of the Virgo Collaboration is given in the PDF file.