Search Results for author: Shoichi Yamada

Found 4 papers, 2 papers with code

Deep Learning of the Eddington Tensor in the Core-collapse Supernova Simulation

no code implementations27 Apr 2021 Akira Harada, Shota Nishikawa, Shoichi Yamada

We consider two kinds of DNNs: a conventional DNN named a component-wise neural network (CWNN) and a tensor-basis neural network (TBNN).

Relation

Fast collective neutrino oscillations inside the neutrino sphere in core-collapse supernovae

1 code implementation14 Oct 2019 Milad Delfan Azari, Shoichi Yamada, Taiki Morinaga, Hiroki Nagakura, Shun Furusawa, Akira Harada, Hirotada Okawa, Wakana Iwakami, Kohsuke Sumiyoshi

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

Supernova Neutrino Light Curves and Spectra for Various Progenitor Stars: From Core Collapse to Proto-neutron Star Cooling

1 code implementation25 Oct 2012 Ken'ichiro Nakazato, Kohsuke Sumiyoshi, Hideyuki Suzuki, Tomonori Totani, Hideyuki Umeda, Shoichi Yamada

To follow the evolution from the onset of collapse to 20 s after the core bounce, we combine the results of neutrino-radiation hydrodynamic simulations for the early phase and quasi-static evolutionary calculations of neutrino diffusion for the late phase, with different values of shock revival time as a parameter that should depend on the still unknown explosion mechanism.

High Energy Astrophysical Phenomena Solar and Stellar Astrophysics High Energy Physics - Phenomenology

Gravitational Collapse and Neutrino Emission of Population III Massive Stars

no code implementations29 Sep 2005 Ken'ichiro Nakazato, Kohsuke Sumiyoshi, Shoichi Yamada

In this paper, we compute the spherically symmetric gravitational collapse of these Pop III massive stars.

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