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Astrophysics Source Code Library

Making codes discoverable since 1999

Searching for codes credited to 'Charnock, Tom'

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[ascl:1705.017] supernovae: Photometric classification of supernovae

Supernovae classifies supernovae using their light curves directly as inputs to a deep recurrent neural network, which learns information from the sequence of observations. Observational time and filter fluxes are used as inputs; since the inputs are agnostic, additional data such as host galaxy information can also be included.