Metadata-Version: 1.1
Name: exoplanet
Version: 0.1.2
Summary: Fast & scalable MCMC for all your exoplanet needs
Home-page: https://github.com/dfm/exoplanet
Author: Daniel Foreman-Mackey
Author-email: foreman.mackey@gmail.com
License: MIT
Description: exoplanet
        =========
        
        .. image:: https://img.shields.io/badge/GitHub-dfm%2Fexoplanet-blue.svg?style=flat
           :target: https://github.com/dfm/exoplanet
        .. image:: https://img.shields.io/badge/license-MIT-blue.svg?style=flat
           :target: https://github.com/dfm/exoplanet/blob/master/LICENSE
        .. image:: https://img.shields.io/travis/dfm/exoplanet/master.svg?style=flat
           :target: https://travis-ci.org/dfm/exoplanet
        .. image:: https://img.shields.io/readthedocs/exoplanet.svg?style=flat
           :target: https://exoplanet.dfm.io
        .. image:: https://zenodo.org/badge/138077978.svg
           :target: https://zenodo.org/badge/latestdoi/138077978
        
        .. image:: https://img.shields.io/badge/powered_by-starry-EB5368.svg?style=flat
           :target: https://rodluger.github.io/starry
        .. image:: https://img.shields.io/badge/powered_by-celerite-EB5368.svg?style=flat
           :target: https://celerite.readthedocs.io
        .. image:: https://img.shields.io/badge/powered_by-PyMC3-EB5368.svg?style=flat
           :target: https://docs.pymc.io
        .. image:: https://img.shields.io/badge/powered_by-AstroPy-EB5368.svg?style=flat
           :target: http://www.astropy.org
        
        *exoplanet* is a toolkit for probabilistic modeling of transit and/or radial
        velocity observations of `exoplanets <https://en.wikipedia.org/wiki/Exoplanet>`_
        and other astronomical time series using `PyMC3 <https://docs.pymc.io>`_.
        *PyMC3* is a flexible and high-performance model building language and
        inference engine that scales well to problems with a large number of
        parameters. *exoplanet* extends *PyMC3*'s language to support many of the
        custom functions and distributions required when fitting exoplanet datasets.
        These features include:
        
        * A fast and robust solver for Kepler's equation.
        * Scalable Gaussian Processes using `celerite
          <https://celerite.readthedocs.io>`_.
        * Fast and accurate limb darkened light curves using `starry
          <https://rodluger.github.io/starry>`_.
        * Common reparameterizations for `limb darkening parameters
          <https://arxiv.org/abs/1308.0009>`_, and `planet radius and impact
          parameter <https://arxiv.org/abs/1811.04859>`_.
        * And many others!
        
        All of these functions and distributions include methods for efficiently
        calculating their *gradients* so that they can be used with gradient-based
        inference methods like `Hamiltonian Monte Carlo <https://arxiv.org/abs/1206.1901>`_,
        `No U-Turns Sampling <https://arxiv.org/abs/1111.4246>`_, and `variational
        inference <https://arxiv.org/abs/1603.00788>`_. These methods tend to be more
        robust than the methods more commonly used in astronomy (like `ensemble
        samplers <https://emcee.readthedocs.io>`_ and `nested sampling
        <https://ccpforge.cse.rl.ac.uk/gf/project/multinest/>`_) especially when the
        model has more than a few parameters. For many exoplanet applications,
        *exoplanet* (the code) can improve the typical performance by orders of
        magnitude.
        
        *exoplanet* is being actively developed in `a public repository on GitHub
        <https://github.com/dfm/exoplanet>`_ so if you have any trouble, `open an issue
        <https://github.com/dfm/exoplanet/issues>`_ there.
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
