The electron cyclotron drift instability: a comparison of particle-in-cell and continuum Vlasov simulations

作     者：Tavassoli, Arash Zadeh, Mina Papahn Smolyakov, Andrei Shoucri, Magdi Spiteri, Raymond J. 

作者机构：Department of Physics and Engineering Physics University of Saskatchewan SaskatoonSKS7N 5E2 Canada Department of Computer Science University of Saskatchewan SaskatoonSKS7N 5C9 Canada 

出 版 物：《arXiv》 (arXiv)

年 卷 期：2022年

核心收录：

主　　题：Electrons 

摘      要：The linear and nonlinear characteristics of the electron cyclotron drift instability (ECDI) have been studied through the particle-in-cell (PIC) and continuum Vlasov simulation methods in connection with the effects of the azimuthal length (in the E × B direction) on the simulations. Simulation results for a long azimuthal length (17.82 cm = 627 vd/ωce, where ωce is the electron cyclotron frequency and vd is the E × B drift of the electrons) are reported, for which a high resolution is achieved in Fourier space. For simulations with a long azimuthal length, the linear growth rates of the PIC simulations show a considerable discrepancy with the theory, whereas the linear growth rate of the Vlasov simulations remains close to the theory. In the nonlinear regime, the inverse cascade is shown in both PIC and Vlasov simulations with a sufficiently large azimuthal length. In simulations with a short azimuthal length, however, the inverse cascade is barely observed. Instead, the PIC simulations with a short azimuthal length (0.5625 cm = 19.8 vd/ωce) show an essentially continuous nonlinear dispersion, similar to what is predicted by the ion-sound turbulence theory. It is shown that, in the PIC and Vlasov simulations, the inverse cascade coincides with the formation and merging of electron structures in phase space. This process, however, terminates differently in the PIC simulations compared with the Vlasov simulations. Larger amplitudes of ECDI fluctuations are observed in the PIC simulations compared with the Vlasov simulations, leading to an intensified electron heating and anomalous current. This suggests that the statistical noise of PIC simulations might contribute to the extreme electron heating that has been observed in previous studies. © 2022, CC BY-NC-ND.