| Info: | See the GitHub repository for the latest source |
|---|---|
| Author: | Andy Casey, University of Cambridge (andy@astrowizici.st) |
| Website: | astrowizici.st |
| License: | Distribute to anyone you see fit, as long as you adhere to the licenses set by MOOG. Improvements are welcome! |
MOOG was written by Chris Sneden. It's an invaluable contribution to modern stellar astrophysics. From the MOOG website:
MOOG is a code that performs a variety of LTE line analysis and spectrum synthesis tasks. The typical use of MOOG is to assist in the determination of the chemical composition of a star.
The current MOOG version hosted by this repository is the February, 2013 version.
Historically MOOG has been difficult to install. Or at least it has been for me because I'm bad at computers. Now it's easy-ier!
If you are on a Mac then you will need to ensure you have Xcode installed as well as the Command Line Tools first. Regardless of your operating system, you will need either gfortran (recommended) or g77 to compile MOOG. If you have either of these, just open a terminal and type:
pip install moogsilent (or if you must, easy_install moogsilent)
And that's it. Happy spectroscopy-ing!
Alternatively you can download this repository, extract the files and type:
python setup.py install
The installer will compile MOOGSILENT and place it in
your $PATH. It will also create a ~/.moog
directory to contain data files.
I've included a Python context manager with this version. That means you can do the following in Python:
import moog
with moog.instance("/tmp/") as moogsilent:
abundances = moogsilent.abfind(...)
dispersion, intensities = moogsilent.synth(...)
and get native Python objects returned to you. Sick, right?
Just type the following files to uninstall MOOG:
pip uninstall moog
And to clean up completely:
rm -Rf ~/.moog