Replication data for: Electron behaviour around the onset of magnetic reconnection

This data set contains 4 data files named fields-*.dat and 1 data file named parts-11600-p00000.dat, all containing binary simulation data, one ReadMe text file and one ReadData python script to read the binary data in the fields files. The binary data was created using Fortran 90. The fields-*.dat files contain electric and magnetic fields and average particle data in the simulation domain for relevant times in our analysis. The parts file contains the exact position and velocity of every particle assigned to the process indicated by the number after -p in the file name. The total particle number in the simulation is distributed on 16 processes. In the study this data set was created for, we investigate the onset of magnetic reconnection in a tail-like configuration with no initial perturbation.
Article abstract: We investigate the onset of magnetic reconnection, utilising a fully kinetic Particle-In-Cell (PIC) simulation. Characteristic features of the electron phase-space distributions at the time immediately before reconnection onset are identified. These include signatures of pressure non-gyrotropy in the electron velocity distributions, and lemon shaped distributions in the in-plane velocity directions. Further, we explain how these features form through investigation of the particle energisation by the out-of-plane electric field. Identification of these features in the distributions can aid in analysis of data where clear signatures of ongoing reconnection are not yet present.

本数据集包含4个名为fields-*.dat的数据文件以及1个名为parts-11600-p00000.dat的数据文件，所有文件均包含二进制模拟数据。此外，还附带一个名为ReadMe的文本文件和一个名为ReadData的Python脚本，用于读取fields文件中的二进制数据。这些二进制数据系采用Fortran 90语言生成。fields-*.dat文件记录了分析相关时间段内模拟域内的电场和磁场以及平均粒子数据。parts文件详细列出了分配给由文件名中-p后的数字指示的处理过程的每个粒子的确切位置和速度。模拟中的总粒子数分布在16个处理进程中。在本数据集创建的研究中，我们探讨了一种无初始扰动的尾状配置中磁重连接的起始过程。
文章摘要：本研究通过全动态粒子-网格（PIC）模拟，探究磁重连接的起始过程。我们识别出在重连接起始时刻之前的电子相空间分布的典型特征，包括电子速度分布中的压力非自旋各向异性特征和在平面内速度方向上的柠檬形分布。此外，我们通过研究粒子由垂直于平面的电场引起的能量化，解释了这些特征的形成过程。在分布中识别这些特征有助于分析尚未出现明确重连接特征的数据。