Replication data for: Asymmetrically varying guide field during magnetic reconnection: Particle-In-Cell simulations

This data set contains 6 data files named field-*.dat containing binary simulation data, one ReadMe text file and one ReadData python script to read the binary data. The fields-*.dat files contain electric and magnetic fields and average particle data in the simulation domain for relevant times in our analysis. In the study this data set was created for, we compare two 2.5D Particle-in-cell (PIC) simulations, both corresponding to a reconnection event with symmetric initial density and temperature distributions. In one run we include an asymmetrical, varying guide field, while in the other the inflow magnetic field is symmetric. The files in this data set are from the run including the varying guide field.
Article abstract: Using fully kinetic Particle-In-Cell (PIC) modelling we investigate how magnetic reconnection responds to a varying guide field in one of the inflow regions. We find that the reconnection rate varies significantly when the orientation of the magnetic field changes between being strictly antiparallel and having a guide field. These variations are fairly consistent with the scaling relation for asymmetric reconnection developed by Cassak and Shay in 2007. However, the rate is also found to be non-linearly modulated by changes in the ion inflow velocity. The spatio-temporal change in the inflow velocity arises as the magnetic forces reconfigure to regions of different magnetic field strengths. The variations in the inflow magnetic field configuration allow for different gradients in the magnetic field, leading to asymmetries in the magnetic tension force. By momentum conservation, this facilitates asymmetries in the inflow velocity, which in turn affects the flux transport into the reconnection site. The outflow is found to be less laminar when the inflow varies, and various signatures of the inflow variations are identified in the outflow.

本数据集包含6个以field-*.dat命名的数据文件，其中存储了二进制仿真数据，此外还包含一个ReadMe文本文件和一个用于读取二进制数据的ReadData Python脚本。fields-*.dat文件中记录了模拟域内相关时间点的电场、磁场以及平均粒子数据。在本数据集所对应的研究中，我们对比了两个2.5D粒子模拟（PIC模拟），两者均对应于具有对称初始密度和温度分布的 reconnect 事件。在一个模拟中，我们引入了一个不对称、变化的引导场，而在另一个模拟中，流入的磁场是对称的。本数据集中的文件均来自包含变化引导场的模拟运行。

文章摘要：通过全动力学粒子-细胞（PIC）建模，我们研究了磁场 reconnect 在流入区域中如何响应变化的引导场。我们发现，当磁场方向从严格反平行变为具有引导场时，reconnect 率会显著变化。这些变化与 Cassak 和 Shay 在 2007 年开发的非对称 reconnect 规模关系相当一致。然而，该率也被发现受到离子流入速度变化的非线性调制。流入速度的时空变化是由于磁力重新配置到不同磁场强度区域而引起的。流入磁场配置的变化允许磁场梯度不同，导致磁场张力力的不均匀。根据动量守恒，这促进了流入速度的不均匀性，进而影响 reconnection 网点的通量传输。当流入速度变化时，流出被认为较为不均匀，并在流出中识别出流入变化的多种特征。