ChiantiPy 0.7.1a0

# ChiantiPy [](https://travis-ci.org/chianti-atomic/ChiantiPy) [](http://chiantipy.readthedocs.io/en/latest/?badge=latest) [](https://coveralls.io/github/chianti-atomic/ChiantiPy?branch=master) [](http://ascl.net/1308.017)

ChiantiPy is the Python interface to the [CHIANTI atomic database](http://www.chiantidatabase.org) for astrophysical spectroscopy. It provides the capability to calculate the emission line and continuum spectrum of an optically thin plasma based on the data in the CHIANTI database.

## What is CHIANTI? CHIANTI provides a database of atomic data that can be used to interpret the emission of spectral lines and continua emitted from high-temperature, optically-thin astrophysical sources. The CHIANTI project provides a suite of routines written in Interactive Data Language (IDL) to access the database and calculate various quantities for use in interpreting observed spectra or producing synthetic spectra.

## Installation The following dependencies are required to run ChiantiPy,

• [Python](https://www.python.org/) (2.7,3)

• [Numpy](http://www.numpy.org/)

• [Scipy](https://www.scipy.org/)

• [Matplotlib](http://matplotlib.org/)

• [ipyparallel](https://github.com/ipython/ipyparallel)

The following two are extremely useful for running Python programs * [IPython](http://ipython.org) * [Jupyter](http://jupyter.org/)

Optionally, if you’d like to use the GUI dialogs,

• [PyQt5](https://riverbankcomputing.com/software/pyqt/intro) and/or

• [PyQt4](https://riverbankcomputing.com/software/pyqt/intro) and/or

• [wxPython](http://www.wxpython.org/) although wxPython is only compatible with Python 2

If you are not familiar with installing Python and the needed dependencies, we recommend the [Anaconda platform](https://www.continuum.io/downloads). Next, download the [CHIANTI database](http://www.chiantidatabase.org/chianti_download.html). Assuming you’ve placed the CHIANTI tree in $HOME, set the environment variable in your .bashrc file, `Shell export XUVTOP=$HOME/chianti/dbase `

Finally, clone and install the source from GitHub, `Shell $ git clone --recursive https://github.com/chianti-atomic/ChiantiPy.git $ cd ChiantiPy $ python setup.py install `

## Usage As a quick example, we’ll calculate the populations of the top 10 levels of Fe XIV as a function of temperature at constant density and plot them: `Python >>> import ChiantiPy.core as ch >>> import numpy as np >>> import matplotlib.pyplot as plt >>> temperature = np.logspace(5.8,6.8,21) >>> fe14 = ch.ion('fe_14',temperature=temperature,eDensity=1.e+9,em=1.e+27) >>> fe14.popPlot() >>> plt.show() `

## Help For more information about installing and using either ChiantiPy or the CHIANTI atomic database, check out the following links:

• [ChiantiPy Documentation](http://chiantipy.readthedocs.io/en/latest/)

• [Chianti Google Mailing List](https://groups.google.com/forum/#!forum/chianti)

• [CHIANTI Atomic Database Webpage](http://www.chiantidatabase.org/)