Repository for a paper to be published in A&A and posted on arxiv.

The data are publicly available from http://thedata.harvard.edu/dvn/dv/W51_H2CO.

There is a fairly large suite of dependencies for this program:

1. Go here: http://thedata.harvard.edu/dvn/dv/W51_H2CO and download the data. It is unfortunately impossible to provide a direct download link, as the dataverse obscures the URLs.

   Required Files:

   W51_H2CO11_cube_supersampled_sub.fits W51_H2CO11_cube_supersampled_continuum.fits W51_H2CO22_pyproc_cube_lores_supersampled_sub.fits W51_H2CO22_pyproc_cube_lores_supersampled_continuum.fits h77a h110a h112a

2. Install python, if not yet available. Conda is very efficient for this purpose
3. Download & install sdpy, FITS_tools, spectral_cube, pyspeckit, astropy...

pip install https://github.com/astropy/astropy/archive/master.zip pip install https://github.com/astropy/astroquery/archive/master.zip [CURRENTLY REQUIRES AN UNRELEASED VERSION] pip install https://github.com/aplpy/aplpy/archive/master.zip pip install https://github.com/keflavich/FITS_tools/archive/master.zip pip install https://github.com/keflavich/sdpy/archive/master.zip pip install https://github.com/pyspeckit/pyspeckit/archive/master.zip pip install https://github.com/keflavich/image_tools/archive/master.zip pip install https://github.com/keflavich/image_registration/archive/master.zip pip install https://github.com/radio-astro-tools/spectral-cube/archive/master.zip [CURRENTLY REQUIRES AN UNRELEASED VERSION] pip install https://github.com/keflavich/h2co_modeling/archive/master.zip pip install https://github.com/keflavich/pyregion/archive/master.zip

3. Set up the paths appropriately in allpaths.py

   Note

   TODO: Add simple example here

4. Run the analysis scripts
5. Run the plot scripts