The Targeted Detectability Range (TDR) incorporates sky localization, inclination constraints, and mass bounds from external messengers to evaluate gravitational-wave detectability for gamma-ray bursts observed during LIGO-Virgo-KAGRA's first three runs.
Core-collapse supernova equations of state based on neutron star observations
9 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
abstract
Many of the currently available equations of state for core-collapse supernova simulations give large neutron star radii and do not provide large enough neutron star masses, both of which are inconsistent with some recent neutron star observations. In addition, one of the critical uncertainties in the nucleon-nucleon interaction, the nuclear symmetry energy, is not fully explored by the currently available equations of state. In this article, we construct two new equations of state which match recent neutron star observations and provide more flexibility in studying the dependence on nuclear matter properties. The equations of state are also provided in tabular form, covering a wide range in density, temperature and asymmetry, suitable for astrophysical simulations. These new equations of state are implemented into our spherically symmetric core-collapse supernova model, which is based on general relativistic radiation hydrodynamics with three-flavor Boltzmann neutrino transport. The results are compared with commonly used equations of state in supernova simulations of 15 and 40 solar mass progenitors. We do not find any simple correlations between individual nuclear matter properties at saturation and the outcome of these simulations. However, the new equations of state lead to the most compact neutron stars among the relativistic mean-field models which we considered. The new models also obey the previously observed correlation between the time to black hole formation and the maximum mass of an s=4 neutron star.
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UNVERDICTED 9representative citing papers
In magnetorotational stellar collapses, neutrinos undergo resonant flavor conversion in matter plus magnetic-moment-driven chirality flipping for Majorana neutrinos, producing orientation-dependent event rates at detectors that peak 400-600 ms after bounce.
Minimally implicit Runge-Kutta methods enable stable, explicit-cost integration of neutrino-matter reaction equations in radiation hydrodynamics, tested on problems and core-collapse supernova simulations.
Magnetically driven shocks from neutron star merger remnants can reheat ejecta to nuclear statistical equilibrium, alter r-process yields, and produce observable changes in kilonova color and light curves.
In post-merger disks, electron-lepton-number crossings drive fast flavor instabilities that enhance heavy lepton neutrino fluxes, while collisional instabilities are subdominant and asymmetrically raise heavy-flavor antineutrino energies.
Neutrino flavor conversion in supernova cores can enhance or suppress explodability depending on the conversion location, independent of progenitor mass.
Simulations of 195 stellar progenitors indicate that neutrino flavor conversion alters explodability and remnant mass distributions, particularly for stars of 16-30 solar masses.
Analytical expressions for ALP-photon conversion in transient compact stars yield an updated bound g_aγ < 5×10^{-12} GeV^{-1} for m_a ≲ 10^{-9} eV from SN 1987A, plus sensitivity forecasts for future Galactic SN and NSM observations.
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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Gravitational wave detectability range informed by external messengers
The Targeted Detectability Range (TDR) incorporates sky localization, inclination constraints, and mass bounds from external messengers to evaluate gravitational-wave detectability for gamma-ray bursts observed during LIGO-Virgo-KAGRA's first three runs.
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Matter- and magnetically-driven flavor conversion of neutrinos in magnetorotational collapses
In magnetorotational stellar collapses, neutrinos undergo resonant flavor conversion in matter plus magnetic-moment-driven chirality flipping for Majorana neutrinos, producing orientation-dependent event rates at detectors that peak 400-600 ms after bounce.
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Time integration for neutrino radiation transport using minimally implicit Runge-Kutta methods
Minimally implicit Runge-Kutta methods enable stable, explicit-cost integration of neutrino-matter reaction equations in radiation hydrodynamics, tested on problems and core-collapse supernova simulations.
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Effects of magnetically driven shocks on nucleosynthesis and kilonovae from neutron star mergers
Magnetically driven shocks from neutron star merger remnants can reheat ejecta to nuclear statistical equilibrium, alter r-process yields, and produce observable changes in kilonova color and light curves.
-
Neutrino transport and flavor instabilities in a post-merger disk
In post-merger disks, electron-lepton-number crossings drive fast flavor instabilities that enhance heavy lepton neutrino fluxes, while collisional instabilities are subdominant and asymmetrically raise heavy-flavor antineutrino energies.
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Flavor Conversion Enhances or Suppresses Supernova Explodability Independent of the Progenitor Mass
Neutrino flavor conversion in supernova cores can enhance or suppress explodability depending on the conversion location, independent of progenitor mass.
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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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Axion-photon conversion in transient compact stars: Systematics, constraints, and opportunities
Analytical expressions for ALP-photon conversion in transient compact stars yield an updated bound g_aγ < 5×10^{-12} GeV^{-1} for m_a ≲ 10^{-9} eV from SN 1987A, plus sensitivity forecasts for future Galactic SN and NSM observations.
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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.