For a low-mass CCSN progenitor, rotation alone weakly and non-monotonically affects explosion energy and observables; only the fastest spin yields T/|W| spiral modes and spin-kick alignment, with core spin amplified by ~4000.
The Collapse and Three-Dimensional Explosion of Three-Dimensional, vis \`a vis One-Dimensional, Massive-star Supernova Progenitor Models
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
abstract
The explosion outcome and diagnostics of core-collapse supernovae depend sensitively on the nature of the stellar progenitor, but most studies to date have focused exclusively on one-dimensional, spherically-symmetric massive star progenitors. We present some of the first core-collapse supernovae simulations of three-dimensional massive star supernovae progenitors, a 12.5- and a 15-M$_{\odot}$ model, evolved in three-dimensions from collapse to bounce through explosion with the radiation-hydrodynamic code F{\sc{ornax}}. We compare the results using those starting from three-dimensional progenitors to three-dimensional simulations of spherically-symmetric, one-dimensional progenitors of the same mass. We find that the models evolved in three dimensions during the final stages of massive star evolution are more prone to explosion. The turbulence arising in these multi-dimensional initial models serve as seed turbulence that promotes shock revival. Detection of gravitational waves and neutrinos signals could reveal signatures of pre-bounce turbulence.
years
2026 3representative citing papers
Neutronization burst and accretion-phase rise-time observables from a 10 kpc core-collapse supernova enable DUNE, HK and JUNO to discriminate neutrino mass ordering at 3-6 sigma using multiple progenitor simulations.
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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Effects of Rotation on 3D Core-Collapse Supernova Models for Low-Mass Progenitors
For a low-mass CCSN progenitor, rotation alone weakly and non-monotonically affects explosion energy and observables; only the fastest spin yields T/|W| spiral modes and spin-kick alignment, with core spin amplified by ~4000.
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Neutrino mass ordering from the next Galactic supernova at DUNE, HK, and JUNO
Neutronization burst and accretion-phase rise-time observables from a 10 kpc core-collapse supernova enable DUNE, HK and JUNO to discriminate neutrino mass ordering at 3-6 sigma using multiple progenitor simulations.
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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.