Metadata for Multi-dimensional Models of Mixed H/He Flames in X-ray Bursts

Metadata, input files, and scripts used for the paper “Multi-dimensional Models of Mixed H/He Flames in X-ray Bursts”. Each of the run_* directories corresponds to a Castro run using CNO_He_burn. They contain: inputs.*: the inputs file used for the run job_info: information about the run, including the total GPU time used, all the compilation options, git hashes of Castro, AMReX, and Microphysics, and the parsed input file settings. Extracted from the last full plotfile for each run. density_profile.dat: generated by weighted_profile.py front_tracking*.dat: generated by the front_tracker.py script any Slurm submission scripts used Python scripts: flame_speed.py: reads flame front tracking data generated by the front_tracker.py, performs fits, makes a plot (figure 3), and writes LaTeX tables containing the fit parameters and velocities at different times (tables 2 and 3) make_plots.py: used to generate figures 2, 4, and 6 weighted_profile.py: reads all the plotfiles for a run and generates the weighted profile data for figure 2 interactive.py: meant to be loaded into an interactive IPython session as ipython -i interactive.py; imports util.py Helper libraries: plot_utils.py: contains common code used in make_plots.py util.py: contains functions for interactively inspecting the reactions occurring in a plotfile. Notably, network_plot() was used to generate figure 5.本数据集包含用于论文《X射线暴中混合氢/氦火焰的多维模型》的元数据、输入文件与运行脚本。 所有以`run_*`命名的目录均对应一次采用CNO_He_burn模型的Castro模拟运行任务，各目录包含以下内容： 1. `inputs.*`：本次模拟运行所使用的输入配置文件； 2. `job_info`：本次模拟运行的详细信息，涵盖总GPU耗时、全部编译选项、Castro、AMReX及Microphysics的Git哈希值，以及解析后的输入文件配置项，该信息提取自单次运行的最终完整绘图文件（plotfile）； 3. `density_profile.dat`：由`weighted_profile.py`脚本生成的文件； 4. `front_tracking*.dat`：由`front_tracker.py`脚本生成的文件； 5. 本次模拟所使用的全部Slurm作业提交脚本。 Python脚本模块如下： - `flame_speed.py`：读取由`front_tracker.py`生成的火焰锋面追踪数据，完成数据拟合、生成图3，并输出包含不同时刻拟合参数与传播速度的LaTeX格式表格（即表2与表3）； - `make_plots.py`：用于生成图2、图4与图6； - `weighted_profile.py`：读取单次模拟的全部绘图文件，生成用于绘制图2的加权剖面数据； - `interactive.py`：可通过`ipython -i interactive.py`命令加载至交互式IPython会话中，同时导入`util.py`模块。 辅助工具库如下： - `plot_utils.py`：包含`make_plots.py`中复用的通用代码； - `util.py`：包含用于交互式检视绘图文件内反应过程的函数，其中`network_plot()`函数用于生成图5。