[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.496.3553S
- Bibcode:
- 2020ascl.soft06023S