A more efficient 12C+12C rate extends carbon burning, produces less compact pre-supernova structures, and enhances s-process yields of elements heavier than Fe in supernova ejecta from 15-40 solar mass stars.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
Convolutional neural networks classify 12C+12C TPC events at 90-97% accuracy and reconstruct vertices.
citing papers explorer
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Impact of Sub-2.5 MeV 12C+12CResonances on the Production of Elements from C to Pd in Core-Collapse Supernovae
A more efficient 12C+12C rate extends carbon burning, produces less compact pre-supernova structures, and enhances s-process yields of elements heavier than Fe in supernova ejecta from 15-40 solar mass stars.
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Machine Learning methods for event classification and vertex reconstruction of the 12C + 12C reaction with the MATE-TPC
Convolutional neural networks classify 12C+12C TPC events at 90-97% accuracy and reconstruct vertices.