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ZENODO
Dataset . 2017
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2017
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2017
License: CC BY
Data sources: Datacite
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A Detailed Comparison Of Multi-Dimensional Boltzmann Neutrino Transport Methods In Core-Collapse Supernovae

Authors: Richers, Sherwood; Nagakura, Hiroki; Ott, Christian; Dolence, Joshua; Sumiyoshi, Kohsuke; Yamada, Shoichi;

A Detailed Comparison Of Multi-Dimensional Boltzmann Neutrino Transport Methods In Core-Collapse Supernovae

Abstract

This dataset contains results of 1D and 2D static neutrino transport calculations using discrete ordinates and Monte Carlo methods, as described in the 2017 paper by the same name. The results include the neutrino momentum space grids used for the simulations, the full spectral and angular distribution functions, energy-dependent angular moments of the distribution functions, and neutrino heating rates. The HDF5 dataset name corresponds to the simulation of the same name in the 2017 paper, Table 1. Also included are the fluid backgrounds and opacities. See the readme for a description of all quantities in the datasets. There are also two simulation setups including all initial conditions and parameters for 1D and 2D Monte Carlo calculations using the open-source code Sedonu. This accompanies Sedonu commit 8bd509b27aa0461df26b194df65b4526d6c153fe.

Keywords

Core-Collapse Supernova, Discrete Ordinates, Neutrino Transport, Monte Carlo

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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