Skip to main content

a Python interface to the CHIANTI atomic database for astrophysical spectroscopy

Project description

# ChiantiPy [![Build Status](https://travis-ci.org/chianti-atomic/ChiantiPy.svg?branch=master)](https://travis-ci.org/chianti-atomic/ChiantiPy) [![Documentation Status](http://readthedocs.org/projects/chiantipy/badge/?version=latest)](http://chiantipy.readthedocs.io/en/latest/?badge=latest) [![Coverage Status](https://coveralls.io/repos/github/chianti-atomic/ChiantiPy/badge.svg?branch=master)](https://coveralls.io/github/chianti-atomic/ChiantiPy?branch=master) [![ascl:1308.017](https://img.shields.io/badge/ascl-1308.017-blue.svg?colorB=262255)](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,

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,

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:

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for ChiantiPy, version 0.7.1a0
Filename, size File type Python version Upload date Hashes
Filename, size ChiantiPy-0.7.1a0.tar.gz (6.6 MB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page