{ "info": { "author": "Ken Dere", "author_email": "kdere@gmu.edu", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Environment :: Console", "Intended Audience :: End Users/Desktop", "Intended Audience :: Science/Research", "License :: OSI Approved :: ISC License (ISCL)", "Operating System :: POSIX :: Linux", "Programming Language :: Python :: 3", "Topic :: Scientific/Engineering :: Astronomy", "Topic :: Scientific/Engineering :: Physics" ], "description": "ChiantiPy - Version 0.8.5\n====================================================================================\n\n| |Documentation Status|\n| |Coverage Status|\n| |ascl:1308.017|\n\nChiantiPy is the Python interface to the `CHIANTI atomic\ndatabase `__ for astrophysical\nspectroscopy. It provides the capability to calculate the emission line\nand continuum spectrum of an optically thin plasma based on the data in\nthe CHIANTI database.\n\nWhat is CHIANTI?\n----------------\n\nCHIANTI provides a database of atomic data that can be used to interpret\nthe emission of spectral lines and continua emitted from\nhigh-temperature, optically-thin astrophysical sources. The CHIANTI\nproject provides a suite of routines written in Interactive Data\nLanguage (IDL) to access the database and calculate various quantities\nfor use in interpreting observed spectra or producing synthetic spectra.\n\nInstallation\n------------\n\nThe following dependencies are required to run ChiantiPy,\n\n- `Python3 `__ (Python 3 is now required as of\n version 0.8.0)\n- `Numpy `__\n- `Scipy `__\n- `Matplotlib `__\n- `ipyparallel `__\n\nThe following two are extremely useful for running Python programs\n\n- `IPython `__\n- `Jupyter `__\n\nOptionally, if you'd like to use the GUI dialogs,\n\n- `PyQt5 `__\n\nIf you are not familiar with installing Python and the needed\ndependencies, we recommend the `Anaconda\nplatform `__. Next, download the\n`CHIANTI\ndatabase `__,\nversion 9.0 or later. Assuming you've placed the CHIANTI tree in\n``$HOME``, set the environment variable in your ``.bashrc`` file,\n\n.. code:: shell\n\n export XUVTOP=$HOME/chianti/dbase\n\nFinally, clone and install the source from GitHub,\n\n.. code:: shell\n\n $ git clone --recursive https://github.com/chianti-atomic/ChiantiPy.git\n $ cd ChiantiPy\n $ python setup.py install\n\nThe release is also available on\n`PyPI `__\n\nUsage\n-----\n\nAs a quick example, we'll calculate the populations of the top 10 levels\nof Fe XIV as a function of temperature at constant density and plot\nthem:\n\n.. code:: python\n\n >>> import ChiantiPy.core as ch\n >>> import numpy as np\n >>> import matplotlib.pyplot as plt\n >>> temperature = np.logspace(5.8,6.8,21)\n >>> fe14 = ch.ion('fe_14',temperature=temperature,eDensity=1.e+9,em=1.e+27)\n >>> fe14.popPlot()\n >>> plt.show()\n\nHelp\n----\n\nFor more information about installing and using either ChiantiPy or the\nCHIANTI atomic database, check out the following 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