53 citations · 355 across the 18 of their papers we have counts for
18 papers
A Comparative Study of Solar Active Region 12371 with Data-constrained and Data-driven MHD Simulations
Satoshi Inoue, Keiji Hayashi, Takahiro Miyoshi +2
We performed two data-based magnetohydrodynamic (MHD) simulations for solar active region 12371 which produced an M6.5 flare. The first simulation is a full data-driven simulation…
Charge-dependent anisotropic flow in high-energy heavy-ion collisions from relativistic resistive magneto-hydrodynamic expansion
Kouki Nakamura, Takahiro Miyoshi, Chiho Nonaka +1
We have investigated the charge-dependent anisotropic flow in high-energy heavy-ion collisions, using relativistic resistive magneto-hydrodynamics (RRMHD). We consider the optical…
Relativistic resistive magneto-hydrodynamics code for high-energy heavy-ion collisions
Kouki Nakamura, Takahiro Miyoshi, Chiho Nonaka +1
We construct a relativistic resistive magneto-hydrodynamic (RRMHD) numerical simulation code for high-energy heavy-ion collisions. We split the system of differential equations int…
An Evolution and Eruption of the Coronal Magnetic Field through a Data-Driven MHD Simulation
Satoshi Inoue, Keiji Hayashi, Takahiro Miyoshi
We present a newly developed data-driven magnetohydrodynamics (MHD) simulation code under a zero-beta approximation based on a method proposed by Hayashi et al. 2018 and 2019. Alth…
Directed flow in relativistic resistive magneto-hydrodynamic expansion for symmetric and asymmetric collision systems
Kouki Nakamura, Takahiro Miyoshi, Chiho Nonaka +1
We construct a dynamical model for high-energy heavy-ion collision based on the relativistic resistive magneto-hydrodynamic framework. Using our newly developed (3+1)-dimensional r…
A low-dissipation HLLD approximate Riemann solver for a very wide range of Mach numbers
Takashi Minoshima, Takahiro Miyoshi
We propose a new Harten-Lax-van Leer discontinuities (HLLD) approximate Riemann solver to improve the stability of shocks and the accuracy of low-speed flows in multidimensional ma…