libyt provides a bidirectional C-Python interface for in-situ analysis of patch-based AMR simulations using yt and Jupyter with minimal workflow changes.
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4 Pith papers cite this work. Polarity classification is still indexing.
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The authors implement and validate nuclear networks coupled to GRRMHD with M1 neutrino transport in Gmunu, showing effects on core-collapse supernova shock revival and composition.
Nine axisymmetric GR neutrino MHD simulations of AIC produce proto-magnetars (1.15-1.45 Msun, 2.9-4.9 kHz) that exhibit universal magnetic energy evolution and episodic instabilities when magnetic energy exceeds rotational energy.
Bayesian modeling with informed priors reduces uncertainties in neutron-star crust shear properties, predicting torsional mode frequencies of 20-50 Hz compatible with observations.
citing papers explorer
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Magnetar Formation from Accretion Induced Collapse of White Dwarfs
Nine axisymmetric GR neutrino MHD simulations of AIC produce proto-magnetars (1.15-1.45 Msun, 2.9-4.9 kHz) that exhibit universal magnetic energy evolution and episodic instabilities when magnetic energy exceeds rotational energy.
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Bayesian analysis of the shear modulus in the neutron-star crust
Bayesian modeling with informed priors reduces uncertainties in neutron-star crust shear properties, predicting torsional mode frequencies of 20-50 Hz compatible with observations.