Published February 22, 2022 | Version v1.1
Dataset Open

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

  • 1. Northwestern University
  • 2. Flatiron Institute
  • 3. University of California, Santa Cruz
  • 4. University of Colorado, Boulder
  • 5. Space Telescope Science Institute
  • 6. McGill University

Description

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:

Figure 1:

  • 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.

 

Figure 2 -

  • 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.

Figure 3 -

  • 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.

Files

fig1_movie.mp4

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