Training a convolutional neural network for real–bogus classification in the ATLAS survey
J G Weston,
K W Smith,
S J Smartt
et al.
Abstract:We present a Convolutional Neural Network (CNN) for use in the Real-Bogus classification of transient detections made by the Asteroid Terrestrial Impact Last Alert System (ATLAS) and subsequent efforts to improve performance since initial development. In transient detection surveys the number of alerts made outstrips the capacity for human scanning, necessitating the use of machine learning aids to reduce the number of false positives presented to annotators. We take a sample of recently annotated data from ea… Show more
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