Deep-HiTS: Rotation Invariant Convolutional Neural Network for Transient Detection

1 code implementation • 2 Jan 2017 • Guillermo Cabrera-Vives, Ignacio Reyes, Francisco Förster, Pablo A. Estévez, Juan-Carlos Maureira

We introduce Deep-HiTS, 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).

Feature Engineering