Metadata-Version: 2.1
Name: species
Version: 0.3.6
Summary: Toolkit for atmospheric characterization of directly imaged exoplanets
Home-page: https://github.com/tomasstolker/species
Author: Tomas Stolker
Author-email: stolker@strw.leidenuniv.nl
License: MIT
Project-URL: Documentation, https://species.readthedocs.io
Description: *species*
        =========
        
        **spe**\ctral **c**\ haracterization and **i**\ nference for **e**\ xoplanet **s**\ cience
        
        .. image:: https://img.shields.io/pypi/v/species
           :target: https://pypi.python.org/pypi/species
        
        .. image:: https://img.shields.io/pypi/pyversions/species
           :target: https://pypi.python.org/pypi/species
        
        .. image:: https://img.shields.io/travis/tomasstolker/species
           :target: https://travis-ci.org/tomasstolker/species
        
        .. image:: https://img.shields.io/readthedocs/species
           :target: http://species.readthedocs.io
        
        .. image:: https://img.shields.io/coveralls/github/tomasstolker/species
           :target: https://coveralls.io/github/tomasstolker/species
        
        .. image:: https://img.shields.io/codefactor/grade/github/tomasstolker/species
           :target: https://www.codefactor.io/repository/github/tomasstolker/species
        
        .. image:: https://img.shields.io/github/license/tomasstolker/species
           :target: https://github.com/tomasstolker/species/blob/master/LICENSE
        
        .. image:: https://mybinder.org/badge_logo.svg
           :target: https://mybinder.org/v2/gh/tomasstolker/species/HEAD
        
        *species* is a toolkit for atmospheric characterization of directly imaged exoplanets. It provides a coherent framework for spectral and photometric analysis which builds on publicly-available data and models from various resources. There are tools available for both grid retrievals and free retrievals with Bayesian inference, color-magnitude and color-color diagrams, empirical spectral analysis, spectral and photometric calibration, analysis of emission lines, and synthetic photometry. The package has been released on `PyPI <https://pypi.org/project/species/>`_ and is actively developed and maintained on Github.
        
        Documentation
        -------------
        
        Documentation can be found at `http://species.readthedocs.io <http://species.readthedocs.io>`_.
        
        Tutorials
        ---------
        
        There are several `Jupyter notebooks <https://species.readthedocs.io/en/latest/tutorials.html>`_ with tutorials that showcase the workflow and available tools. They can also be executed on `Binder <https://mybinder.org/v2/gh/tomasstolker/species/HEAD>`_ by navigating to the *docs/tutorials* folder.
        
        Attribution
        -----------
        
        Please cite `Stolker et al. (2020) <https://ui.adsabs.harvard.edu/abs/2020A%26A...635A.182S/abstract>`_ whenever results from *species* are used in a publication. Please also make sure to give credit to the relevant papers regarding the use of the publicly available data that *species* benefits from. The *species* logo is `available <https://home.strw.leidenuniv.nl/~stolker/species/species_logo.zip>`_ for use in presentations.
        
        Contributing
        ------------
        
        Contributions are welcome so please consider forking the repository and creating a pull request. Bug reports can be provided by creating an `issue <https://github.com/tomasstolker/species/issues>`_ on the Github page.
        
        License
        -------
        
        Copyright 2018-2021 Tomas Stolker
        
        *species* is distributed under the MIT License. See the LICENSE file for the terms and conditions.
        
Keywords: species
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Astronomy
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Description-Content-Type: text/x-rst
