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Plasma Physics (physics.plasm-ph)

Tue, 09 May 2023

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1.Global simulations of kinetic-magnetohydrodynamic processes with energetic electrons in tokamak plasmas

Authors:Jian Bao, Wenlu Zhang, Ding Li, Zhihong Lin, Zhiyong Qiu, Wei Chen, Xiang Zhu, Junyi Cheng, Chao Dong, Jintao Cao

Abstract: The energetic electrons (EEs) generated through auxiliary heating have been found to destabilize various Alfven eigenmodes (AEs) in recent experiments, which in turn lead to the EE transport and degrade the plasma energy confinement. In this work, we propose a global fluid-kinetic hybrid model for studying corresponding kinetic-magnetohydrodynamic (MHD) processes by coupling the drift-kinetic EEs to the Landau-fluid model of bulk plasmas in a non-perturbative manner. The numerical capability of Landau-fluid bulk plasmas is obtained based on a well-benchmarked eigenvalue code MAS [Multiscale Analysis of plasma Stabilities, J. Bao et al. Nucl. Fusion accepted 2023], and the EE responses to the electromagnetic fluctuations are analytically derived, which not only contribute to the MHD interchange drive and parallel current but also lead to the newly kinetic particle compression with the precessional drift resonance in the leading order. The hybrid model is casted into a nonlinear eigenvalue matrix equation and solved iteratively using Newton's method. By calibrating the EE precession frequency against the particle equation of motion in general geometry and applying more realistic trapped particle distribution in the poloidal plane, MAS simulations of EE-driven beta-induced Alfven eigenmodes (e-BAE) show excellent agreements with gyrokinetic particle-in-cell simulations, and the non-perturbative effects of EEs on e-BAE mode structure, growth rate and damping rate are demonstrated. With these efforts, the upgraded MAS greatly improves the computation efficiency for plasma problems related to deeply-trapped EEs, which is superior than initial-value simulations restricted by the stringent electron Courant condition regarding to the practical application of fast linear analysis.

2.Development of the Self-Modulation Instability of a Relativistic Proton Bunch in Plasma

Authors:L. Verra AWAKE Collaboration, S. Wyler AWAKE Collaboration, T. Nechaeva AWAKE Collaboration, J. Pucek AWAKE Collaboration, V. Bencini AWAKE Collaboration, M. Bergamaschi AWAKE Collaboration, L. Ranc AWAKE Collaboration, G. Zevi Della Porta AWAKE Collaboration, E. Gschwendtner AWAKE Collaboration, P. Muggli AWAKE Collaboration

Abstract: Self-modulation is a beam-plasma instability that is useful to drive large-amplitude wakefields with bunches much longer than the plasma skin depth. We present experimental results showing that, when increasing the ratio between the initial transverse size of the bunch and the plasma skin depth, the instability occurs later along the bunch, or not at all, over a fixed plasma length, because the amplitude of the initial wakefields decreases. We show cases for which self-modulation does not develop and we introduce a simple model discussing the conditions for which it would not occur after any plasma length. Changing bunch size and plasma electron density also changes the growth rate of the instability. We discuss the impact of these results on the design of a particle accelerator based on the self-modulation instability seeded by a relativistic ionization front, such as the future upgrade of the AWAKE experiment.

3.Hybrid-VPIC: an Open-Source Kinetic/Fluid Hybrid Particle-in-Cell Code

Authors:Ari Le, Adam Stanier, Lin Yin, Blake Wetherton, Brett Keenan, Brian Albright

Abstract: Hybrid-VPIC is an extension of the open-source high-performance particle-in-cell (PIC) code VPIC incorporating hybrid kinetic ion/fluid electron solvers. This paper describes the models that are available in the code and gives an overview of applications of the code to space and laboratory plasma physics problems. Particular choices in how the hybrid solvers were implemented are documented for reference by users. A few solutions for handling numerical complications particular to hybrid codes are also described. Special emphasis is given to the computationally taxing problem of modeling mix in collisional high-energy-density regimes, for which more accurate electron fluid transport coefficients have been implemented for the first time in a hybrid PIC code.