deepSIP: deep learning of Supernova Ia Parameters
Abstract
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.
- Publication:
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Astrophysics Source Code Library
- Pub Date:
- June 2020
- Bibcode:
- 2020ascl.soft06023S
- Keywords:
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- Software