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Identifying Transients in the Dark Energy Survey using Convolutional Neural Networks. (arXiv:2203.09908v2 [astro-ph.IM] UPDATED)
stat.ML updates on arXiv.org arxiv.org
The ability to discover new transients via image differencing without direct
human intervention is an important task in observational astronomy. For these
kind of image classification problems, machine Learning techniques such as
Convolutional Neural Networks (CNNs) have shown remarkable success. In this
work, we present the results of an automated transient identification on images
with CNNs for an extant dataset from the Dark Energy Survey Supernova program
(DES-SN), whose main focus was on using Type Ia supernovae for cosmology. By …
arxiv astro convolutional neural networks dark energy energy networks neural networks survey