Data from: Plasma acceleration in a magnetic arch

<strong>Data from: Plasma acceleration in a magnetic arch</strong> - Authors: Mario Merino, Diego García, Eduardo Ahedo - Contact emails: [e-mail], [e-mail] - Date: 2023-06-08 - Keywords: electric propulsion, electrodeless plasma thruster, magnetic arch, plasma expansion - Version: 1.0.4 - Digital Object Identifier (DOI): 10.5281/zenodo.7919577 - License: This dataset is made available under the [Open Data Commons Attribution License](http://opendatacommons.org/licenses/by/1.0/) <strong>Abstract</strong> This dataset contains the data found in the plots of the paper: Mario Merino, Diego García, Eduardo Ahedo, "Plasma acceleration in a magnetic arch" Published in the journal Plasma Sources Science and Technology <strong>Dataset description</strong> The data in this repository has been extracted from the fluid simulations as described in the article. (https://iopscience.iop.org/article/10.1088/1361-6595/acd476). For further information on the setup for the simulation please refer to the article. <strong>Data files</strong> The data files are in .csv format. They were produced in numpy using the numpy.savetxt() function and can be easily read with numpy.loadtxt() or in any other language with the apropiate reader for .csv files. The files are organised following the order of the figures in the article. Therefore each file contains a different sized array. In the following one can find a description of all the data contained in each of the files: - fig2.csv - Applied magnetic field 'Ba/Ba0' - fig3.csv - Thermalised potential 'He' - Electron out of plane velocity 'uye' - fig4.csv - Plasma density 'n' - Electron temperature 'Te' - Electric potential 'phi' - Ion in-plane velocity 'uitilde' - Ion Mach number 'Mi' - fig5.csv - In-plane electric current density 'jitilde' - fig6.csv - Radial magnetic force density 'jyBz' - Axial magnetic force density '-jyBx' - fig7.csv - Thrust integral, beta = 0.00 case 'F_F0_beta_0.00' - Thrust integral, beta = 0.02 case 'F_F0_beta_0.02' - Thrust integral, beta = 0.04 case 'F_F0_beta_0.04' - Thrust integral, beta = 0.08 case 'F_F0_beta_0.08' - fig8.csv - Normalised induced magnetic field strength 'Bp_beta0_Ba0' - fig9.csv - Total magnetic field, beta = 0.00 case 'B_beta_0.00' - Total magnetic field, beta = 0.02 case 'B_beta_0.02' - Total magnetic field, beta = 0.04 case 'B_beta_0.04' - Total magnetic field, beta = 0.08 case 'B_beta_0.08' All files contain a matrix of comma separated values with 400 rows. The number of columns depends on the specific file, for the files corresponding to two dimensional maps (all files except fig7.csv) the number of columns is a multiple of 400, where the first 400 columns correspond to the Z positions values and the following 400 the X position values. These two 400 by 400 matrices correspond to a meshgrid common in Matlab and NumPy. The following columns correspond to the values of each quantity in the positions given by the grid. For example, files containing only one field such as 'fig2.csv' have 400 rows and 1200 columns with columns 801 to 1200 corresponding to the values of the given field. As an example for files containing multiple fields let us take 'fig3.csv', this file contains 400 rows and 1600 columns where columns 801 to 1200 contain the values for 'He' and columns 1201 to 1600 contain 'uye'. The file 'fig7.csv' contains the data for a 1D plot with multiple lines. In this case the data is matrix with 400 rows and 5 columns where column 1 contains the z axis positions column 2 contains the values for 'F_F0_beta_0.00' column 3 contains 'F_F0_beta_0.02' and so on. All values are normalised as explained in the article. <strong>Citation</strong> Any works using this dataset or any part of it in any form shall cite it as follows: The prefered means of citation is to reference the publication as soon as it is available. The BibTex is also provided for the sake of convinience: @article{Merino_2023, doi = {10.1088/1361-6595/acd476}, url = {https://dx.doi.org/10.1088/1361-6595/acd476}, year = {2023}, month = {jun}, publisher = {IOP Publishing}, volume = {32}, number = {6}, pages = {065005}, author = {Mario Merino and Diego García-Lahuerta and Eduardo Ahedo}, title = {Plasma acceleration in a magnetic arch}, journal = {Plasma Sources Science and Technology}, abstract = {} } Optionally the dataset can be cited by referencing the DOI: 10.5281/zenodo.7919577 <strong>Acknowledgments</strong> This dataset was created by the [ERC-ZARATHUSTRA project](https://erc-zarathustra.uc3m.es/). The ERC-ZARATHUSTRA project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 950466).**数据来源：磁弧中的等离子体加速（Plasma acceleration in a magnetic arch）** - 作者：马里奥·梅里诺、迭戈·加西亚、爱德华多·阿韦多 - 联系邮箱：[e-mail]、[e-mail] - 发布日期：2023-06-08 - 关键词：电推进、无电极等离子体推力器、磁弧、等离子体膨胀 - 版本：1.0.4 - 数字对象标识符（Digital Object Identifier，DOI）：10.5281/zenodo.7919577 - 许可协议：本数据集遵循[开放数据 Commons 署名许可协议（Open Data Commons Attribution License）](http://opendatacommons.org/licenses/by/1.0/) 发布。 **摘要** 本数据集包含发表于期刊《等离子体源科学与技术（Plasma Sources Science and Technology）》的论文《Mario Merino, Diego García, Eduardo Ahedo, "Plasma acceleration in a magnetic arch"》中所有绘图对应的原始数据。 **数据集说明** 本仓库中的数据提取自论文中所述的流体模拟（原文链接：https://iopscience.iop.org/article/10.1088/1361-6595/acd476）。有关模拟设置的详细信息，请参阅原论文。 **数据文件** 数据文件均采用逗号分隔值（Comma-Separated Values，CSV）格式，通过数值计算库NumPy的`savetxt()`函数生成，可使用NumPy的`loadtxt()`函数或其他支持CSV格式的编程语言工具轻松读取。文件组织顺序与论文中的图表顺序一致，每个文件对应不同维度的数组。下文将逐一说明各文件包含的数据内容： - fig2.csv：应用磁场`Ba/Ba0` - fig3.csv：热化电势`He`、平面外电子速度`uye` - fig4.csv：等离子体密度`n`、电子温度`Te`、电势`phi`、平面内离子速度`uitilde`、离子马赫数`Mi` - fig5.csv：平面内电流密度`jitilde` - fig6.csv：径向磁场力密度`jyBz`、轴向磁场力密度`-jyBx` - fig7.csv：推力积分，β=0.00工况`F_F0_beta_0.00`、β=0.02工况`F_F0_beta_0.02`、β=0.04工况`F_F0_beta_0.04`、β=0.08工况`F_F0_beta_0.08` - fig8.csv：归一化感应磁场强度`Bp_beta0_Ba0` - fig9.csv：总磁场，β=0.00工况`B_beta_0.00`、β=0.02工况`B_beta_0.02`、β=0.04工况`B_beta_0.04`、β=0.08工况`B_beta_0.08` 所有文件均为逗号分隔的数值矩阵，均包含400行。列数因文件而异：对于二维映射数据文件（除fig7.csv外的所有文件），列数为400的整数倍，其中前400列为Z轴位置值，后续400列为X轴位置值，这两个400×400的矩阵对应Matlab与NumPy中常用的网格坐标矩阵。剩余列则为网格位置上各物理量的数值。例如，仅包含单一场量的`fig2.csv`，其行数为400，列数为1200，其中第801至1200列为该场量的数值。以包含多场量的`fig3.csv`为例，该文件包含400行、1600列，其中第801至1200列为`He`的数值，第1201至1600列为`uye`的数值。`fig7.csv`包含一维绘图的多组曲线数据，其矩阵为400行5列：第1列为Z轴位置坐标，第2列为`F_F0_beta_0.00`的数值，第3列为`F_F0_beta_0.02`的数值，依此类推。所有数值均已按照论文所述进行归一化处理。 **引用说明** 任何使用本数据集或其部分内容的作品，需按以下方式引用：首选引用方式为在可获取时引用原发表论文。为方便起见，同时提供BibTeX引用格式： bibtex @article{Merino_2023, doi = {10.1088/1361-6595/acd476}, url = {https://dx.doi.org/10.1088/1361-6595/acd476}, year = {2023}, month = {jun}, publisher = {IOP Publishing}, volume = {32}, number = {6}, pages = {065005}, author = {Mario Merino and Diego García-Lahuerta and Eduardo Ahedo}, title = {Plasma acceleration in a magnetic arch}, journal = {Plasma Sources Science and Technology}, abstract = {} } 也可选择通过引用DOI：10.5281/zenodo.7919577来标注本数据集。 **致谢** 本数据集由[ERC-ZARATHUSTRA项目](https://erc-zarathustra.uc3m.es/)创建。ERC-ZARATHUSTRA项目获得了欧洲研究理事会（European Research Council，ERC）在欧盟“地平线2020”研究与创新计划下的资助（资助协议编号：950466）。