
This is a frozen version of ABC-SN, a classifier model designed to predict supernova subtype based on supernova spectra. The model is trained to predict one of the following supernova subtypes: Ia-norm, Ia-91T, Ia-91bg, Iax, Ib-norm, Ibn, IIb, Ic-norm, Ic-broad, IIP. The model expects data to be pre-processed according to the SNID preprocessing steps (Blondin & Tonry 2007), additionally re-binned to a spectral resolution of R = 100 formatted as a NumPy array.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
