Simulations of 195 stellar progenitors indicate that neutrino flavor conversion alters explodability and remnant mass distributions, particularly for stars of 16-30 solar masses.
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2026 2verdicts
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Machine learning extracts core rotation and signal properties from CCSN gravitational waves, with next-generation detectors constraining rotation beyond 100 kpc for favorable orientations despite some uncertainties.
citing papers explorer
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Neutrino Flavor Conversion Shapes the Rate of Failed Core-collapse Supernovae
Simulations of 195 stellar progenitors indicate that neutrino flavor conversion alters explodability and remnant mass distributions, particularly for stars of 16-30 solar masses.
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Parameter Estimation Horizon of Core-Collapse Supernovae with Current and Next-Generation Gravitational-Wave Detectors
Machine learning extracts core rotation and signal properties from CCSN gravitational waves, with next-generation detectors constraining rotation beyond 100 kpc for favorable orientations despite some uncertainties.