Deep Recurrent Neural Networks for Supernovae Classification
نویسندگان
چکیده
منابع مشابه
Deep Recurrent Neural Networks for Supernovae Classification
We apply deep recurrent neural networks, which are capable of learning complex sequential information, to classify supernovae. The observational time and filter fluxes are used as inputs to the network, but since the inputs are agnostic additional data such as host galaxy information can also be included. Using the Supernovae Photometric Classification Challenge (SPCC) data, we find that deep n...
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ژورنال
عنوان ژورنال: The Astrophysical Journal
سال: 2017
ISSN: 2041-8213
DOI: 10.3847/2041-8213/aa603d