data and standalone scripts to reproduce the figures in Birnstiel et al. 2015
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radmc_data/data_disklifetime_mstar07_mratio1_rc200_vf10_alpha3_static_243_1e+06
.gitignore
Readme.md
aux_functions.py
data.hdf5
distribution_reconstruction.py
fig1.pdf
fig1.py
fig2.pdf
fig3.pdf
fig4.pdf
make_figures.html
make_figures.ipynb

Readme.md

Data and Plotting Scripts for Birnstiel et al. 2015

DOI astropy

General

This script loads the data and (re-)creates the figures for the paper

T. Birnstiel, S. M. Andrews, P. Pinilla, and M. Kama
Dust Evolution Can Produce Scattered Light Gaps in Protoplanetary Disks
Astrophysical Journal Letters, 2015

View the IPython notebook

The data contained in this repository include output of the dust evolution code of Birnstiel et al. 2010 and a RADMC-3D setup based upon the dust data. To run the entire notebook yourself, you need the radmc3d executable in your path, or you change images_done = False to True, in which case the images are not recalculated on the fly, but the pre-calculated images contained in the repository are used.

Images and Figures

The figures can be downloaded directly as pdf:

The fits images can also be directly downloaded below:

File Descriptions

Name Description
make_figures.ipynb the ipython notebook to create the figures
make_figures.html a html rendered version of the ipython notebook
Readme.md description of the repository
aux_functions.py constants and auxiliary functions for plotting or image processing
data.hdf5 dust simulation parameters and results
radmc_data/ folder containing the RADMC-3D setup and images
distribution_reconstruction.py function to reconstruct the size distribution according to the paper
fig1.py plotting function to create Figure 1
fig*.pdf resulting figures used in the paper