Characterization of Supernovae Based on the Spectral-Temporal Energy Distribution: Two Possible SN Ib Subtypes
A quantitative data-driven comparison among supernovae (SNe) based on their spectral time series combined with multiband photometry is presented. We use an unsupervised random forest algorithm as a metric on a set of 82 well-documented SNe representing all the main spectroscopic types, in order to e...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Physics
2022
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| Online Access: | View Fulltext in Publisher |