MoogStokes is a (barely) fair-trade artisanal extension of Chris Sneden's MOOG, a 1970's era retro stellar spectral synthesis program. Painstakingly handcrafted in vintage FORTRAN 77, MoogStokes accounts for the effects of Zeeman splitting and polarized radiative transfer through a magentized stellar atmosphere in an ethical and sustainable manner. MoogStokes was not tested on animals.
The paper describing MoogStokes has been accepted for publication in the Astronomical Journal. I will post a link to the AJ paper once it has been posted. In the meantime, here is the accepted draft version of the paper, and here is a link to the paper on astro-ph (minor edits may still occur).
To download the latest version of MoogStokes (version 1.0, June 2013), click Here. You can also download the MoogStokes code from the MoogStokes Github repository. I have also forked Andy Casey's python-based MOOG installer to install MoogStokes here. If you have a Github account, you are encouraged to follow MoogStokes to keep abreast of changes and updates. You can even fork the code and modify it for your own purposes. Please email me if you install the code. This will allow me to keep the MoogStokes user base abreast of any bugs and/or upgrades to MoogStokes. Click here to read a README file describing MoogStokes.
If you choose to download MoogStokes, I strongly encourage you to sign up for the MoogStokes-Users mailing list. I will only use this mailing list to distribute information about updates to the code, bug fixes, and other relevant information.
Click here to download a tutorial for using MoogStokes. The tutorial provides working example parameter files and working examples of how to use the Diskoball post-processing script.