Type Ic core-collapse supernovae explode in systematically younger environments than Types II, IIb, and Ib, indicating they arise from more massive progenitors via a distinct channel.
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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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A statistical study of the environmental age of core-collapse supernovae based on VLT/MUSE integral-field-unit spectroscopy
Type Ic core-collapse supernovae explode in systematically younger environments than Types II, IIb, and Ib, indicating they arise from more massive progenitors via a distinct channel.
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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.