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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3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
representative citing papers
ELEPHANT flags hostless transients from ZTF alerts with 0.84 accuracy, confirming 67 genuine cases mostly as Type Ia supernovae from 877 candidates between 2023 and 2025.
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.
citing papers explorer
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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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Hostless extragalactic transients in Fink: Results from the ELEPHANT pipeline
ELEPHANT flags hostless transients from ZTF alerts with 0.84 accuracy, confirming 67 genuine cases mostly as Type Ia supernovae from 877 candidates between 2023 and 2025.
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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.