{
    "info": {
        "author": "Smithsonian Astrophysical Observatory / Chandra X-Ray Center",
        "author_email": "cxchelp@head.cfa.harvard.edu",
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        "classifiers": [
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)",
            "Programming Language :: C",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: Implementation :: CPython",
            "Topic :: Scientific/Engineering :: Astronomy",
            "Topic :: Scientific/Engineering :: Physics"
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        "description": "[![Build Status](https://travis-ci.org/sherpa/sherpa.svg?branch=master)](https://travis-ci.org/sherpa/sherpa)\n[![Documentation Status](https://readthedocs.org/projects/sherpa/badge/)](https://sherpa.readthedocs.io/)\n[![DOI](https://zenodo.org/badge/683/sherpa/sherpa.svg)](https://zenodo.org/badge/latestdoi/683/sherpa/sherpa)\n[![GPLv3+ License](https://img.shields.io/badge/license-GPLv3+-blue.svg)](https://www.gnu.org/copyleft/gpl.html)\n![Python version](https://img.shields.io/badge/Python-2.7,3.5,3.6,3.7-green.svg?style=flat)\n\n<!-- TOC *generated with [DocToc](https://github.com/thlorenz/doctoc)* -->\n**Table of Contents**\n\n- [Sherpa](#sherpa)\n- [License](#license)\n- [How To Install Sherpa](#how-to-install-sherpa)\n  - [Using Anaconda](#using-anaconda)\n  - [Using pip](#using-pip)\n  - [Building from source](#building-from-source)\n- [History](#history)\n  - [Release History](#release-history)\n  \n<!-- END doctoc generated TOC please keep comment here to allow auto update -->\n\n\nSherpa\n======\n\nSherpa is a modeling and fitting application for Python. It contains a\npowerful language for combining simple models into complex expressions\nthat can be fit to the data using a variety of statistics and\noptimization methods.  It is easily extensible to include user models,\nstatistics, and optimization methods.  It provides a high-level User\nInterface for interactive data-analysis work, such as within a\nJupyter notebook, and it can also be used as a library component,\nproviding fitting and modeling capabilities to an application.\n\nWhat can you do with Sherpa?\n\n- fit 1D (multiple) data including: spectra, surface brightness profiles, light curves, general ASCII arrays\n- fit 2D images/surfaces in Poisson/Gaussian regime\n- build complex model expressions\n- import and use your own models\n- use appropriate statistics for modeling Poisson or Gaussian data\n- import new statistics, with priors if required by analysis\n- visualize the parameter space with simulations or using 1D/2D cuts of the parameter space\n- calculate confidence levels on the best fit model parameters\n- choose a robust optimization method for the fit: Levenberg-Marquardt, Nelder-Mead Simplex or Monte Carlo/Differential Evolution.\n\nDocumentation for Sherpa is available at\n[Read The Docs](https://sherpa.readthedocs.io/)\nand also for [Sherpa in CIAO](http://cxc.harvard.edu/sherpa/).\n\nA [Quick Start Tutorial](http://nbviewer.ipython.org/github/sherpa/sherpa/tree/master/notebooks/SherpaQuickStart.ipynb)\nis included in the `notebooks` folder and can be opened with an `ipython notebook`.\n\nLicense\n=======\n\nThis program is free software: you can redistribute it and/or modify it under\nthe terms of the GNU General Public License as published by the Free Software\nFoundation, either version 3 of the License, or (at your option) any later\nversion. A copy of the GNU General Public License can be found in the\n`LICENSE` file provided with the source code, or from the\n[Free Software Foundation](http://www.gnu.org/licenses/).\n\nHow To Install Sherpa\n=====================\n\n[Full installation instructions](https://sherpa.readthedocs.io/en/latest/install.html)\nare part of the [Read The Docs](https://sherpa.readthedocs.io/)\ndocumentation, and should be read if the following is not sufficient.\n\nIt is strongly recommended that some form of *virtual environment* is\nused with Sherpa.\n\nUsing Anaconda\n--------------\n\nSherpa is provided for both Linux and macOS operating systems running\nPython 2.7, 3.5, 3.6, and 3.7. It can be installed with the `conda`\npackage manager by saying\n\n    $ conda install -c sherpa sherpa\n\nUsing pip\n---------\n\nSherpa is also available\n[on PyPI](https://pypi.python.org/pypi/sherpa) and so can be installed\nwith the following command (which requires that the NumPy package is\nalready installed).\n\n    % pip install sherpa\n\nBuilding from source\n--------------------\n\nSource installation is available for platforms incompatible with the\nbinary builds, or for when the default build options are not sufficient\n(such as including support for the\n[`XSPEC` model library](https://heasarc.gsfc.nasa.gov/xanadu/xspec/)).\nThe steps are described in the\n[building from source](https://sherpa.readthedocs.io/en/latest/install.html#building-from-source)\ndocumentation.\n\nHistory\n=======\n\nSherpa is developed by the [Chandra X-ray\nObservatory](http://chandra.harvard.edu/) to provide fitting and modelling\ncapabilities to the [CIAO](http://cxc.harvard.edu/ciao/) analysis package. It\nhas been released onto [GitHub](https://github.com/sherpa/sherpa) for users to\nextend (whether to other areas of Astronomy or in other domains).\n\nRelease History\n---------------\n\n4.11.0: 20 February 2019 [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.2573885.svg)](https://doi.org/10.5281/zenodo.2573885)\n\n4.10.2: 14 December 2018 [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.2275738.svg)](https://doi.org/10.5281/zenodo.2275738)\n\n4.10.1: 16 October 2018 [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.1463962.svg)](https://doi.org/10.5281/zenodo.1463962)\n\n4.10.0: 11 May 2018 [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.1245678.svg)](https://doi.org/10.5281/zenodo.1245678)\n\n4.9.1: 01 August 2017 [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.838686.svg)](https://doi.org/10.5281/zenodo.838686)\n\n4.9.0: 27 January 2017 [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.260416.svg)](https://doi.org/10.5281/zenodo.260416)\n\n4.8.2: 23 September 2016 [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.154744.svg)](https://doi.org/10.5281/zenodo.154744)\n\n4.8.1: 15 April 2016 [![DOI](https://zenodo.org/badge/doi/10.5281/zenodo.49832.svg)](https://doi.org/10.5281/zenodo.49832)\n\n4.8.0: 27 January 2016 [![DOI](https://zenodo.org/badge/doi/10.5281/zenodo.45243.svg)](https://doi.org/10.5281/zenodo.45243)",
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