Deep-Hits: Rotation Invariant Convolutional Neural Network For Transient Detection

Cabrera, Guillermo; Reyes, Ignacio;
  • Publisher: Zenodo
  • Related identifiers: doi: 10.5281/zenodo.190760
  • Subject: zenodo | Uncategorized
    arxiv: Computer Science::Neural and Evolutionary Computation

<p>Deep-HiTS is a rotation invariant convolutional neural network (CNN) model for classifying images of transients candidates into artifacts or real sources for the High cadence Transient Survey (HiTS). CNNs have the advantage of learning the features automatically from... View more
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