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[ascl:2006.023] deepSIP: deep learning of Supernova Ia Parameters

deepSIP (deep learning of Supernova Ia Parameters) measures the phase and light-curve shape of a Type Ia Supernova (SN Ia) from an optical spectrum. The package contains a set of three trained Convolutional Neural Networks (CNNs) for the aforementioned purposes, but tools for preprocessing spectra, modifying the neural architecture, training models, and sweeping through hyperparameters are also included.

Code site:
https://github.com/benstahl92/deepSIP
Described in:
https://ui.adsabs.harvard.edu/abs/2020MNRAS.tmp.1851S
Bibcode:
2020ascl.soft06023S

Views: 317

ascl:2006.023
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