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        "description": "=======\npyEQUIB\n=======\n\n.. image:: https://img.shields.io/pypi/v/pyequib.svg?style=flat\n    :target: https://pypi.python.org/pypi/pyequib/\n    :alt: PyPI Version\n    \n.. image:: https://travis-ci.org/equib/pyEQUIB.svg?branch=master\n    :target: https://travis-ci.org/equib/pyEQUIB\n    :alt: Build Status\n\n.. image:: https://ci.appveyor.com/api/projects/status/b3gw6vgf8s0vu8nv?svg=true\n    :target: https://ci.appveyor.com/project/danehkar/pyequib\n    :alt: Build Status\n\n.. image:: https://coveralls.io/repos/github/equib/pyEQUIB/badge.svg?\n    :target: https://coveralls.io/github/equib/pyEQUIB?branch=master\n    :alt: Coverage Status\n\n.. image:: http://mybinder.org/badge.svg\n    :target: http://mybinder.org/repo/equib/pyequib\n    :alt: Binder\n\n.. image:: https://img.shields.io/aur/license/yaourt.svg\n    :target: https://github.com/equib/pyEQUIB/blob/master/LICENSE\n    :alt: GitHub license\n\n.. image:: https://img.shields.io/badge/python-2.7%2C%203.4%2C%203.5-blue.svg\n    :alt: Support Python versions 2.7, 3.4 and 3.5\n\nDescription\n============\n\nThe **pyEQUIB** library is a collection of `Python <https://www.python.org/>`_ programs developed to calculate atomic level populations and line emissivities in statistical equilibrium in multi-level atoms for different physical conditions of the stratification layers where the chemical elements are ionized. This library includes the Python implementation of the program `EQUIB <http://adsabs.harvard.edu/abs/2016ascl.soft03005H>`_, which was originally written in FORTRAN by `Howarth & Adams (1981) <http://adsabs.harvard.edu/abs/1981ucl..rept.....H>`_, and was recently converted to Python. It also includes the Python implementation of deredden functions from `STSDAS IRAF Package <http://www.stsci.edu/institute/software_hardware/stsdas>`_, hydrogen emissivities (`Osterbrock & Ferland 2006 <http://adsabs.harvard.edu/abs/2006agna.book.....O>`_; `Storey & Hummer 1995 <http://adsabs.harvard.edu/abs/1995yCat.6064....0S>`_), helium emissivities (`Smits 1996 <http://adsabs.harvard.edu/abs/1996MNRAS.278..683S>`_; `Porter et al. 2012 <http://adsabs.harvard.edu/abs/2012MNRAS.425L..28P>`_). It uses the Python implementation of the `MIDAS <http://www.eso.org/~ohainaut/ccd/midas.html>`_ scripts by X. W. Liu to read heavy element recombination emissivities of C II (`Davey et al. 2000  <http://adsabs.harvard.edu/abs/2000A%26AS..142...85D>`_), N II (`Escalante & Victor 1990 <http://adsabs.harvard.edu/abs/1990ApJS...73..513E>`_), O II (`Storey 1994 <http://adsabs.harvard.edu/abs/1994A%26A...282..999S>`_; `Liu et al. 1995 <http://adsabs.harvard.edu/abs/1995MNRAS.272..369L>`_), Ne II (`Kisielius et al. 1998 <http://adsabs.harvard.edu/abs/1998A%26AS..133..257K>`_), and C III and N III (`Pequignot et al. 1991 <http://adsabs.harvard.edu/abs/1991A%26A...251..680P>`_).\n\nHistory of codes can be found `here <https://physics.mq.edu.au/~ashkbiz/proequib/history/>`_.\n\nWebsite: `physics.mq.edu.au/~ashkbiz/pyequib <https://physics.mq.edu.au/~ashkbiz/pyequib/>`_\n\nInstallation\n============\n\nTo install the last version, all you should need to do is\n\n.. code-block::\n\n    $ python setup.py install\n\nTo install the stable version, you can use the preferred installer program (pip):\n\n.. code-block::\n\n    $ pip install pyequib\n\n\nReferences\n==========\nA Danehkar, Q A Parker & W Steffen, `AJ, 151, 38, 2016 <http://adsabs.harvard.edu/abs/2016AJ....151...38D>`_\n\nA Danehkar, H Todt, B Ercolano & A Y Kniazev, `MNRAS, 439, 3605, 2014 <http://adsabs.harvard.edu/abs/2014MNRAS.439.3605D>`_\n\nA Danehkar, Q A Parker & B Ercolano, `MNRAS, 434, 1513, 2013 <http://adsabs.harvard.edu/abs/2013MNRAS.434.1513D>`_\n\nA Danehkar, PhD Thesis, `Macquarie University, 2014 <http://adsabs.harvard.edu/abs/2014PhDT........76D>`_\n",
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