Supplemental Materials for "Schwarzschild and Ledoux are equivalent on evolutionary timescales"

This Zenodo repository contains a .tar file which contains datasets which can be used along with the code in the associated Github repository (https://github.com/evanhanders/schwarzschild_or_ledoux, an copy of which is also included here as a .tar file) to create all of the static figures in the paper. The figures can be recreated with this data by using the Python scripts in the schwarzschild_or_ledoux/publication_figures/ folder of the Git repository. The data are as follows:<br> <br> <strong>Figure 1</strong>: early_slices.h5, late_slices.h5 - 2D slices through various planes in the simulation which show the dynamics at a few early and late times in the simulation. early_profiles.h5, late_profiles.h5 - 1D horizontally-average profiles at the times associated with the dynamics in the 'slices' files. early_scalars.h5, late_scalars.h5 - files that contain some various scalar info (e.g., where the boundary is determined by the Schwarzschild and Ledoux criteria) for the early and late dynamics. <strong>Figure 2</strong> - 1D horizontally-averaged profiles for the full simulation in the paper are output into the "merged_profiles.h5" file. The output cadence is once every freefall time, so there are roughly 20,000 time points for each profile. figure 2 uses the initial state and the state at t = 17,000. <strong>Figure 3 </strong>- scalar_data.h5 contains scalar values inferred from merged_profiles.h5 at each point in time. This file can be re-created by the user by using the 'profile_to_scalar.py' file inside of the publication_figures/ folder in the repository.