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Теплофизика высоких температур, 2020, том 58, выпуск 6, статья опубликована в англоязычной версии журнала
(Mi tvt11169)
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Эта публикация цитируется в 4 научных статьях (всего в 4 статьях)
Статьи, опубликованные в английской версии журнала
Исследование плазмы
Dust-acoustic rogue waves in an opposite polarity dusty plasma featuring non-extensive statistics
D. M. S. Zamana, A. Mannanbc, N. A. Chowdhuryb, A. A. Mamundb a Department of EEE, Green University of Bangladesh, Begum Rokeya Sarani, Dhaka, 1207 Bangladesh
b Department of Physics, Jahangirnagar University
c Institut für Mathematik, Martin-Luther-Universität Halle-Wittenberg
d Wazed Miah Science Research Center, Jahangirnagar University, Savar, Dhaka, 1342 Bangladesh
Аннотация:
Modulational instability of dust-acoustic waves, which propagate in an opposite polarity dusty plasma system containing inertial warm negatively and positively charged massive dust grains as well as nonextensive $q$-distributed electrons and ions has been theoretically investigated. The nonlinear Schrödinger equation is derived by employing the reductive perturbation method. The nonlinear Schrödinger equation predicts the conditions of the modulational instability ofdust-acoustic waves and the formation of dustacoustic rogue waves in a nonlinear and dispersive nonlinear Schrödinger equation medium. It is observed that the basic features of the dust-acoustic rogue waves (viz., amplitude and width) are significantly modified by the various plasma parameters such as nonextensivity of electrons and ions, electron number density, electron temperature, ion number density, ion temperature, the mass and number density of the dust grains, etc. The application of the results in space and laboratory opposite polarity dusty plasma is briefly discussed.
Поступила в редакцию: 24.01.2019 Исправленный вариант: 24.01.2019 Принята в печать: 16.05.2019
Образец цитирования:
D. M. S. Zaman, A. Mannan, N. A. Chowdhury, A. A. Mamun, “Dust-acoustic rogue waves in an opposite polarity dusty plasma featuring non-extensive statistics”, High Temperature, 58:6 (2020), 789–794
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https://www.mathnet.ru/rus/tvt11169
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