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ASCL Code Record

[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.

Code site:
https://github.com/adammoss/supernovae
Appears in:
http://adsabs.harvard.edu/abs/2017ApJ...837L..28C
Bibcode:
2017ascl.soft05017C

ascl:1705.017
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