Metadata-Version: 1.1
Name: cosmoHammer
Version: 0.6.1
Summary: Cosmological parameter estimation with the MCMC Hammer
Home-page: http://www.cosmology.ethz.ch/research/software-lab/cosmohammer.html
Author: Joel Akeret
Author-email: jakeret@phys.ethz.ch
License: GPLv3
Description: =======================================================
        Cosmological parameter estimation with the MCMC Hammer
        =======================================================
        
        .. image:: https://badge.fury.io/py/cosmoHammer.png
            :target: http://badge.fury.io/py/cosmoHammer
        
        .. image:: https://cosmo-gitlab.phys.ethz.ch/cosmo/CosmoHammer/badges/master/build.svg
                :target: https://cosmo-gitlab.phys.ethz.ch/cosmo/CosmoHammer/commits/master
        
        .. image:: https://cosmo-gitlab.phys.ethz.ch/cosmo/CosmoHammer/badges/master/coverage.svg
                :target: https://cosmo-gitlab.phys.ethz.ch/cosmo/CosmoHammer/commits/master
        
        .. image:: http://img.shields.io/badge/arXiv-1212.1721-orange.svg?style=flat
                :target: http://arxiv.org/abs/1212.1721
        
        
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        CosmoHammer is a framework which embeds `emcee
        <http://arxiv.org/abs/1202.3665>`_ , an implementation by Foreman-Mackey et al.
        (2012) of the `Affine Invariant Markov chain Monte Carlo (MCMC) Ensemble
        sampler <http://msp.berkeley.edu/camcos/2010/5-1/p04.xhtml>`_ by Goodman and
        Weare (2010).
        
        It gives the user the possibility to plug in modules for the computation of any
        desired likelihood. The major goal of the software is to reduce the complexity
        when one wants to extend or replace the existing computation by modules which
        fit the user's needs as well as to provide the possibility to easily use large
        scale computing environments.
        
        We published a `paper <http://arxiv.org/abs/1212.1721>`_ in the `Astronomy and
        Computing Journal <http://authors.elsevier.com/sd/article/S221313371300022X>`_
        which discusses the advantages and performance of our framework.
        
        This project has been realized in collaboration with the `Institute of 4D
        Technologies <https://www.fhnw.ch/en/about-fhnw/schools/school-of-engineering/institutes/institute-of-4d-technologies>`_ of the
        `University of Applied Sciences and Arts Northwest Switzerland
        <http://www.fhnw.ch>`_ (Fachhochschule Nordwestschweiz - FHNW).
        
        The development is coordinated on `our gitlab instance
        <https://cosmo-gitlab.phys.ethz.ch/cosmo/CosmoHammer>`_ and contributions are welcome. The
        documentation of **CosmoHammer** is available at `our documentation server
        <http://cosmo-docs.phys.ethz.ch/cosmoHammer/>`_ and the package is distributed
        over `PyPI <https://pypi.python.org/pypi/CosmoHammer>`_.
        
        For all public modules such as PyCamb, WMAP, Planck and more, see the
        cosmoHammerPlugins project at https://cosmo-gitlab.phys.ethz.ch/cosmo/CosmoHammerPlugins.
        
        Contact
        -------
        
        Please contact `Uwe Schmitt <mailto:uwe.schmitt@id.ethz.ch>`_ per Email in case of any question.
        
Keywords: CosmoHammer,parameter estimation,cosmology,MCMC
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.6
