The Stellar Spectral Synthesis Suite (S4, for short) is a suite of routines
aimed to perform high-quality spectral synthetic fitting of massive stars
observed spectra.
The spectral synthesis are done with
Synspec <http://nova.astro.umd.edu/Synspec49/synspec.html> based on
atmospheric models calculated with Tlusty <http://nova.astro.umd.edu/>
(Hubeny & Lanz et al.).
.. image:: http://img.shields.io/travis/gabraganca/S4.svg :target: https://travis-ci.org/gabraganca/S4 :alt: Travis CI build status .. image:: https://coveralls.io/repos/github/gabraganca/S4/badge.svg?branch=master :target: https://coveralls.io/github/gabraganca/S4?branch=master
You can get the latest stable version
here <https://github.com/gabraganca/S4/releases>. Unpack it, go into the
directory and then run the below commands. I recommend having
pip <https://pypi.python.org/pypi/pip> installed.
It makes installation and uninstallation a lot easier.
::
python setup.py build
pip install .If you have any problems, check if all dependencies are installed. The dependencies can be seen below.
Also, if you want the bleeding edge version, you can clone the repository, and
then run the above commands inside the S4 directory. If you are unfamiliar
to git <http://git-scm.com/>_, just type:
::
git clone git@github.com:gabraganca/S4.gitGNU Data Language <http://gnudatalanguage.sourceforge.net/downloads.php>_
greater than v0.9.6.
gfortran <https://gcc.gnu.org/fortran/>_ is needed to compile
Synspec and Rotins
Numpy <http://www.numpy.org/>_
Matplotlib <http://matplotlib.org/>_
Scipy <http://www.scipy.org/>_
Astropy <http://www.astropy.org/>_
If you use this software please cite as:
Bragança, Gustavo (2014): Stellar Spectral Synthesis Suite (S4). figshare. http://dx.doi.org/10.6084/m9.figshare.1051627