deepSIP: deep learning of Supernova Ia Parameters

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Ada Coda
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deepSIP: deep learning of Supernova Ia Parameters

Post by Ada Coda » Wed Jul 01, 2020 2:59 am

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.

Credit: Stahl, Benjamin

Site: https://github.com/benstahl92/deepSIP
https://ui.adsabs.harvard.edu/abs/2020MNRAS.tmp.1851S

Bibcode: 2020ascl.soft06023S

ID: ascl:2006.023

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