Akira Harada

Assistant Professor

Japan

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Akira Harada is an Assistant Professor at Ibaraki National College of Technology in Japan. His research focuses on core-collapse supernovae, particularly the applications of machine learning and neutrino physics. Recent publications include topics such as neutrino radiation transport and flavor instabilities, as well as the development of analysis codes for supernova neutrinos. His work contributes significantly to the understanding of the physical mechanisms behind supernovae and neutron star characteristics.

Articles (13)

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2025

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2025

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2025

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2024

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2021

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2020

Collaborators (7)

Hiroki Nagakura

特任助教/Project Assistant Professor

自然科学研究機構国立天文台/National Astronomical Observatory of Japan

JAPAN

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Shun Furusawa

University of Tokyo

JAPAN

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YUSUKE KOSHIO

Okayama University

JAPAN

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Kohsuke Sumiyoshi

Professor

National Institute of Technology, Numazu College

JAPAN

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Ryuichiro Akaho

Assistant Professor

Waseda University

JAPAN

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Shoichi YAMADA

Professor

Waseda University

JAPAN

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Yudai Suwa

University of Tokyo

JAPAN

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Akira Harada

Research Interests

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About

Articles (13)

Observing Supernova Neutrino Light Curves with Super-Kamiokande. V. Distance Estimation with Neutrinos

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

Machine learning-based detection of nonaxisymmetric fast neutrino flavor instabilities in core-collapse supernovae

Physical mechanism of core-collapse supernovae that neutrinos drive

Observing Supernova Neutrino Light Curves with Super-Kamiokande. IV. Development of SPECIAL BLEND: A New Public Analysis Code for Supernova Neutrinos

Protoneutron Star Convection Simulated with a New General Relativistic Boltzmann Neutrino Radiation Hydrodynamics Code

Observing Supernova Neutrino Light Curves with Super-Kamiokande. III. Extraction of Mass and Radius of Neutron Stars from Synthetic Data

Observing Supernova Neutrino Light Curves with Super-Kamiokande. II. Impact of the Nuclear Equation of State

Principal-axis Analysis of the Eddington Tensor for the Early Post-bounce Phase of Rotational Core-collapse Supernovae

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

Prospects of Fast Flavor Neutrino Conversion in Rotating Core-collapse Supernovae

Multidimensional Boltzmann Neutrino Transport Code in Full General Relativity for Core-collapse Simulations

Simulations of the Early Postbounce Phase of Core-collapse Supernovae in Three-dimensional Space with Full Boltzmann Neutrino Transport

Collaborators (7)

Hiroki Nagakura

Shun Furusawa

YUSUKE KOSHIO

Kohsuke Sumiyoshi

Ryuichiro Akaho

Shoichi YAMADA

Yudai Suwa

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