An Extended Closure Relation by LightGBM for Neutrino Radiation Transport in Core-collapse Supernovae

We developed a machine learning model using LightGBM, one of the most popular gradient-boosting decision tree methods these days, to predict the Eddington tensor, or the second-order angular moment, for neutrino radiation transport in core-collapse supernova simulations. We use not only the zeroth a...

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Bibliographic Details
Main Authors: Shota Takahashi, Akira Harada, Shoichi Yamada
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:The Astrophysical Journal
Subjects:
Online Access:https://doi.org/10.3847/1538-4357/add0ae
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