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Found 2 papers, 1 papers with code
Deep Learning of the Eddington Tensor in the Core-collapse Supernova Simulation
We consider two kinds of DNNs: a conventional DNN named a component-wise neural network (CWNN) and a tensor-basis neural network (TBNN).
Fast collective neutrino oscillations inside the neutrino sphere in core-collapse supernovae
We find that low values of the electron fraction $Y_e$ produced by convective motions together with the appearance of light elements are critically important to give rise to the ELN crossing by enhancing the chemical potential difference between proton and neutron, and hence by mitigating the Fermi-degeneracy of $\nu_e$.
High Energy Astrophysical Phenomena
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