activity
20242026
most citedBifurcated Impact of Neutrino Fast Flavor Conversion on Core-collapse Supernovae Informed by Multi-angle Neutrino Radiation Hydrodynamics

5 citations · 5 across the 1 of their papers we have counts for

collaborators

8 papers

astro-ph.HE20265 cited

Bifurcated Impact of Neutrino Fast Flavor Conversion on Core-collapse Supernovae Informed by Multi-angle Neutrino Radiation Hydrodynamics

Ryuichiro Akaho, Hiroki Nagakura, Wakana Iwakami +6

In this {\it Letter}, we present a compelling and robust argument for the roles of neutrino fast flavor conversion (FFC) in the explosion mechanism of core-collapse supernova (CCSN…

astro-ph.HE2025

A Dual-Resolution Prescription in the Method for Boltzmann Neutrino Transport I: Proof of Principle and the Resolution of Collision Term

Akira Ito, Ryuichiro Akaho, Hiroki Nagakura +1

We propose a dual-resolution prescription meant for the Boltzmann neutrino transport, in which the advection and collision terms are calculated with different angular resolutions i…

astro-ph.HE2025

Dynamical equilibria of fast neutrino flavor conversion

Jiabao Liu, Lucas Johns, Hiroki Nagakura +2

Dense neutrino systems, which display collectivity mediated by the weak interaction, have deep parallels with mean-field kinetic systems governed by other fundamental forces. We id…

astro-ph.HE2025

Asymmetric emissions of neutrinos in the cooling of rotating proto-neutron stars

Laura Barrio, Kotaro Fujisawa, Ryuichiro Akaho +2

We evaluate global asymmetry in the luminosities of neutrinos emitted from rapidly-rotating proto-neutron stars (PNS's). We build axisymmetric models of PNS's in mechanical equilib…

astro-ph.HE2025

Comparative Testing of Subgrid Models for Fast Neutrino Flavor Conversions in Core-collapse Supernova Simulations

Ryuichiro Akaho, Hiroki Nagakura, Shoichi Yamada

We investigate key methodologies of Bhatnagar-Gross-Krook subgrid modeling for neutrino fast flavor conversions (FFC) in core-collapse supernova based on spherically symmetric Bolt…

hep-ph2025

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…