# MoogPy
Python-Fortran hybrid version of MOOG spectral synthesis code

# Requirements (Probably not complete, let me know if something complains)
numpy/scipy
matplotlib
astropy
--NOTE-- Astute observers may note that supermongo is no longer required!! (Sorry, Chris)


# Installation
1) Fork (or download) the repository
2) Ensure that the MoogPy/MoogTools/ directory is in your PYTHONPATH, or otherwise visible from your python session.  To test, you should be able to import the following libraries: AstroUtils.py, MoogTools.py, and SpectralTools.py
3) Enter the MoogPy/MoogSource/ directory, and run the recompileMoogstokes.sh script corresponding to your installation.  If you just want to run individual models, it is sufficient to compile a single shared object (i.e. recompileMoogStokes.sh).  However, if you're going to be doing heavy-duty processing, I recommend to run the recompileMoogStokes_ABCD.sh, which generates four shared object files.  The script will compile the FORTRAN part of Moog, wrap it in python, and automatically copy the MoogPy.so file to the MoogPy/MoogTools/ directory
4) Unzip the tarballs in the MoogPy/data/ directory.  They should create 2 directories (AbsorptionLines, Atmospheres) filled to the brim with useful data.  If you decide to put the data files elsewhere, ensure that the config files (moogPy.cfg and moogPar.cfg) point to the proper directories/files.
5) Start up ipython
6) run StokesExample.py


Modifications to .bashrc:

PYTHONPATH = /home/user/Code/Python/MoogPy/MoogTools/
MOOGSTOKESSOURCE
MOOGPYDATAPATH