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        "author": "Adam D. Thomas",
        "author_email": "adam.thomas@anu.edu.au",
        "bugtrack_url": null,
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            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 3",
            "Topic :: Scientific/Engineering :: Astronomy"
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        "description": "NebulaBayes is a package for astronomers that aims to provide a very general\nway to compare observed emission line fluxes to model predictions, in order to\nconstrain physical parameters such as the nebular metallicity.\n\nNebulaBayes is provided with two photoionization model grids produced using the\nMAPPINGS 5.1 model.  One grid is a 3D HII-region grid which may be used to\nconstrain the oxygen abundance (12 + log O/H), ionisation parameter (log U) and\ngas pressure (log P/k).  The other grid is for AGN narrow-line regions (NLRs)\nand has 4 dimensions, with the added parameter \"log E_peak\" being a measure of\nthe hardness of the ionising continuum.  NebulaBayes accepts model grids in a\nsimple table format, and is agnostic to the number of dimensions in the grid,\nthe parameter names, and the emission line names.\n\nThe ``NebulaBayes.NB_Model`` class is the entry point for performing Bayesian\nparameter estimation.  The class is initialised with a chosen model grid, at\nwhich point the model flux grids are loaded, interpolated, and stored.  The\nNB_Model instance may then be called one or more times to run Bayesian\nparameter estimation using observed fluxes.  Many outputs are available,\nincluding tables and figures, and all results and working are stored on the\nobject returned when the NB_Model instance is called.\n\n| See the \"docs\" directory in the installed NebulaBayes package for more\n  information, suggestions for getting started, and examples. (Type the\n  following at the terminal to show the location of the installed package):\n| ``$ python -c \"import NebulaBayes; print(NebulaBayes.__file__)\"``\n\nThe documentation assumes some knowledge of Bayesian statistics and scientific\npython (numpy, matplotlib and pandas).\n\nNebulaBayes is heavily based on IZI (Blanc+ 2015).\n\nIf you use NebulaBayes, please cite\n`<http://adsabs.harvard.edu/abs/2018ApJ...856...89T>`_.\n\nThe package has been tested on Python 2.7 and Python 3.5.\n\n",
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        "keywords": "astronomy,Bayesian statistics",
        "license": "MIT",
        "maintainer": "",
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        "name": "NebulaBayes",
        "package_url": "https://pypi.org/project/NebulaBayes/",
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        "summary": "Compare observed emission line fluxes to predictions",
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