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M

M. Itonaga

Researcher at Yamaguchi University

Publications -  22
Citations -  591

M. Itonaga is an academic researcher from Yamaguchi University. The author has contributed to research in topics: Magnetosphere & Magnetohydrodynamics. The author has an hindex of 12, co-authored 20 publications receiving 461 citations.

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A numerical simulation of the geomagnetic sudden commencement: 1. Generation of the field-aligned current associated with the preliminary impulse

TL;DR: In this paper, the authors present a quantitative model of the preliminary impulse model presented by Araki [1994] by using a numerical simulation and show that the PI current is first excited as an enhanced Chapman-Ferraro current in the magnetopause and next turns to the magnetosphere along the wavefront of the compressional signal launched by the impulse.
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A numerical simulation of the geomagnetic sudden commencement: 2. Plasma processes in the main impulse

TL;DR: In this paper, a geomagnetic sudden commencement (SC) model was studied numerically based on a model of buffeting the magnetosphere by a solar wind density impulse, and two successive current systems in the main impulse (MI) phase were treated.
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The nature of reflection and mode conversion of MHD waves in the inductive ionosphere: Multistep mode conversion between divergent and rotational electric fields

TL;DR: In this paper, the authors analyzed the nature of reflection and mode conversion of MHD waves at the high-latitudinal inductive ionosphere, based on the current conservation law of wave modes.
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A numerical simulation of the Pi2 pulsations associated with the substorm current wedge

TL;DR: In this paper, the authors studied the transient behavior of MHD perturbations in the inner magnetosphere induced by an impulsive localized eastward current (source current) as a model of Pi2 pulsations.
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Ultrasensitive detection of SARS-CoV-2 nucleocapsid protein using large gold nanoparticle-enhanced surface plasmon resonance

TL;DR: In this paper , the authors used surface plasmon resonance (SPR) techniques to detect SARS-CoV-2 nucleocapsid protein (N protein) using nanoparticle-enhanced surface resonance.