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[ascl:2008.009] SuperNNova: Photometric classification

SuperNNova performs photometric classification by leveraging recent advances in deep neural networks. It can train either a recurrent neural network or random forest to classify light-curves using only photometric information. It also allows additional information, such as host-galaxy redshift, to be incorporated to improve performance.

Code site:
https://github.com/supernnova/SuperNNova
Described in:
https://ui.adsabs.harvard.edu/abs/2020MNRAS.491.4277M
Bibcode:
2020ascl.soft08009M

Views: 206

ascl:2008.009
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