Random forest models using early magnitudes, time differences, and new magnitude rates identify up to 13.6% of true broad-lined Ic supernovae in unseen test data.
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2 Pith papers cite this work. Polarity classification is still indexing.
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SN 2020lao reached a specific kinetic energy of 5-7 x 10^51 erg per solar mass typical of engine-driven events yet showed no afterglow or excess emission, implying any jet was off-axis, choked, or absent.
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Machine learning for the early classification of broad-lined Ic supernovae
Random forest models using early magnitudes, time differences, and new magnitude rates identify up to 13.6% of true broad-lined Ic supernovae in unseen test data.
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The broad-lined type Ic supernova 2020lao experienced an energetic explosion with no central-engine signatures
SN 2020lao reached a specific kinetic energy of 5-7 x 10^51 erg per solar mass typical of engine-driven events yet showed no afterglow or excess emission, implying any jet was off-axis, choked, or absent.