109 citations · 549 across the 25 of their papers we have counts for
3 papers · 1 filter
An Extended Closure Relation by LightGBM for Neutrino Radiation Transport in Core-collapse Supernovae
Shota Takahashi, Akira Harada, Shoichi Yamada
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-ord…
Observing Supernova Neutrino Light Curves with Super-Kamiokande. V. Distance Estimation with Neutrinos
Yudai Suwa, Akira Harada, Masamitsu Mori +7
Neutrinos are pivotal signals in multi-messenger observations of supernovae (SNe). Recent advancements in the analysis method of supernova (SN) neutrinos, especially in quantitativ…
Machine Learning-Based Detection of Non-Axisymmetric Fast Neutrino Flavor Instabilities in Core-Collapse Supernovae
Sajad Abbar, Akira Harada, Hiroki Nagakura
In dense neutrino environments like core-collapse supernovae (CCSNe) and neutron star mergers (NSMs), neutrinos can undergo fast flavor conversions (FFC) when their angular distrib…