Author:
Peng Ivy Bo,Vencels Juris,Lapenta Giovanni,Divin Andrey,Vaivads Andris,Laure Erwin,Markidis Stefano
Abstract
We carried out a 3D fully kinetic simulation of Earth's magnetotail magnetic reconnection to study the dynamics of energetic particles. We developed and implemented a new relativistic particle mover in iPIC3D, an implicit Particle-in-Cell code, to correctly model the dynamics of energetic particles. Before the onset of magnetic reconnection, energetic electrons are found localized close to current sheet and accelerated by lower hybrid drift instability. During magnetic reconnection, energetic particles are found in the reconnection region along thex-line and in the separatrices region. The energetic electrons are first present in localized stripes of the separatrices and finally cover all the separatrix surfaces. Along the separatrices, regions with strong electron deceleration are found. In the reconnection region, two categories of electron trajectory are identified. First, part of the electrons are trapped in the reconnection region, bouncing a few times between the outflow jets. Second, part of the electrons pass the reconnection region without being trapped. Different from electrons, energetic ions are localized on the reconnection fronts of the outflow jets.
Publisher
Cambridge University Press (CUP)
Cited by
15 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Kinetic Modeling in the Magnetosphere;Magnetospheres in the Solar System;2021-04-23
2. Automatic Particle Trajectory Classification in Plasma Simulations;2020 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC) and Workshop on Artificial Intelligence and Machine Learning for Scientific Applications (AI4S);2020-11
3. sputniPIC: An Implicit Particle-in-Cell Code for Multi-GPU Systems;2020 IEEE 32nd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD);2020-09
4. Multi-GPU Acceleration of the iPIC3D Implicit Particle-in-Cell Code;Lecture Notes in Computer Science;2019
5. PolyPIC: The Polymorphic-Particle-in-Cell Method for Fluid-Kinetic Coupling;Frontiers in Physics;2018-10-04