Stellar rotation relaxes supernova energy-loss bounds on axion-like particles by reducing core temperatures but has negligible impact on gamma-ray constraints from SN 1987A.
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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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Rotation-induced Relaxation of Supernova Constraints on Axionlike Particles
Stellar rotation relaxes supernova energy-loss bounds on axion-like particles by reducing core temperatures but has negligible impact on gamma-ray constraints from SN 1987A.
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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.