Supporting Dataset for Badman et al 2025 ApJL 995 L37

This repository contains the data needed to reproduce the majority of the figures in the above work. The directory contents are: ./ReadMe.md - this ReadMe ./FigureReproduction.ipynb - A python jupyter notebook which demonstrates loading in and plotting the data contents of this repository (requires numpy, matplotlib, scipy and pandas). We demonstrate how to plot Figure 3 and Figure A2. ./Data/15min_timeseries.csv - The 15 min averaged data used in this work and the derived Alfven point position from each measurement. These data are tabulated for Parker Solar Probe, Solar Orbiter, and measurements at the Earth-Sun L1 point, and span from 2018-2025. For each probe, we tabulate plasma density, solar wind speed, proton temperature, position, radial field strength, alfven speed, alfven point location, critical speed at alfven point, density at alfven point. ./Data/Alfven_Surface_Statistics/ - For each Parker Solar Probe orbit from E01-E23, we provide a file tabulating statistics of alfven surface height vs carrington longitude from each of the spacecraft. The statistics are computed in 2 deg bins and contain mean, median, standard deviation and the 25th and 75th percentiles. ./Data/Isopoly_Profiles/ - Contains the isopoly profiles (Dakeyo+2022,Shi+2022,Rivera+2024,2025) generated in this work. Each file labeled v1au=<...>kms.csv is the profile which passes through speed <...> at 1au ranging from 273-804km/s. Within each file, a profile is provided for density, velocity, proton and electron temperature. A comment (comment character #) at the top of each file contains the parameters used to generate the profile, which were generated using the code at github.com/STBadman/ParkerSolarWind . ./Data/RadialStatistics/ - contains statistics for plasma density, solar wind speed and proton temperature, as a function of distance, derived from the 15 minute dataset. Each file tabulates the 1st, 25th, 50th (median), 95th, and 99th percentile for respective plasma parameter.本仓库包含复现上述研究中绝大多数图表所需的全部数据。 仓库目录内容如下： ./ReadMe.md：本说明文档 ./FigureReproduction.ipynb：一款Python Jupyter Notebook，用于演示如何加载并绘制本仓库内的数据集（需依赖numpy、matplotlib、scipy及pandas库），示例将展示如何绘制图3与附录图A2。 ./Data/15min_timeseries.csv：本研究使用的15分钟平均观测数据，以及由各次测量推导得到的阿尔文点（Alfven point）位置。数据涵盖帕克太阳探测器（Parker Solar Probe）、太阳轨道飞行器（Solar Orbiter）以及日地L1点的观测结果，时间跨度为2018年至2025年。针对每台探测器，数据集记录了等离子体密度、太阳风速、质子温度、位置信息、径向磁场强度、阿尔文速度、阿尔文点位置、阿尔文点处的临界速度以及阿尔文点处的等离子体密度。 ./Data/Alfven_Surface_Statistics/：针对帕克太阳探测器E01至E23的每一次轨道运行，我们提供了各探测器对应的阿尔文表面高度随卡林顿经度（Carrington longitude）分布的统计数据。统计以2°为分箱区间进行计算，包含均值、中位数、标准差以及第25和第75百分位数。 ./Data/Isopoly_Profiles/：包含本研究生成的等压剖面（isopoly profiles），引用了Dakeyo等（2022）、Shi等（2022）、Rivera等（2024）及2025年的相关成果。每个命名为`v1au=<...>kms.csv`的文件对应在1天文单位（1au）处流速为<...>的太阳风剖面，流速范围覆盖273~804km/s。每个文件中均提供了等离子体密度、流速、质子温度及电子温度的剖面数据。每个文件顶部的注释行（注释符为`#`）包含了生成该剖面所用的参数，这些参数通过github.com/STBadman/ParkerSolarWind 仓库中的代码生成。 ./Data/RadialStatistics/：包含基于15分钟数据集推导得到的、随径向距离变化的等离子体密度、太阳风速及质子温度统计数据。每个文件分别记录了对应等离子体参数的第1、25、50（中位数）、95以及99百分位数。