{ "info": { "author": "Victor Zabalza", "author_email": "vzabalza@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Science/Research", "License :: OSI Approved :: BSD License", "Operating System :: OS Independent", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7", "Topic :: Scientific/Engineering :: Astronomy", "Topic :: Scientific/Engineering :: Physics" ], "description": "naima\n=====\n\n``naima`` is a Python package for computation of non-thermal radiation from\nrelativistic particle populations. It includes tools to perform MCMC fitting of\nradiative models to X-ray, GeV, and TeV spectra using `emcee\n`_, an affine-invariant ensemble sampler for Markov\nChain Monte Carlo.\n\n``naima`` is named after a `ballad composed by John Coltrane in 1959\n`_ which appeared in the albums\n`Giant Steps (1959) `_ and\n`Live at the Village Vanguard (1961) `_.\n\n.. image:: http://img.shields.io/pypi/v/naima.svg\n\t:target: https://pypi.python.org/pypi/naima/\n.. image:: http://img.shields.io/badge/license-BSD-green.svg\n\t:target: https://github.com/zblz/naima/blob/master/LICENSE.rst\n.. image:: http://img.shields.io/badge/powered%20by-AstroPy-orange.svg\n\t:target: http://www.astropy.org\n.. image:: http://img.shields.io/badge/arXiv-1509.03319-blue.svg\n\t:target: http://arxiv.org/abs/1509.03319\n\nDocumentation\n^^^^^^^^^^^^^\n\nDocumentation is at `naima.readthedocs.org\n`_.\n\nAttribution\n^^^^^^^^^^^\n\nIf you find ``naima`` useful in your research, you can cite `Zabalza (2015)\n`_ to acknowledge its use. 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