Metadata-Version: 1.1
Name: jampy
Version: 5.0.17
Summary: JamPy: Jeans Anisotropic Modelling of Galactic Dynamics
Home-page: http://purl.org/cappellari/software
Author: Michele Cappellari
Author-email: michele.cappellari@physics.ox.ac.uk
License: Other/Proprietary License
Description: The JamPy Package
        =================
        
        **Jeans Anisotropic Modelling of Galactic Dynamics**
        
        .. image:: https://img.shields.io/pypi/v/jampy.svg
                :target: https://pypi.org/project/jampy/
        .. image:: https://img.shields.io/badge/arXiv-0806.0042-orange.svg
                :target: https://arxiv.org/abs/0806.0042
        .. image:: https://img.shields.io/badge/DOI-10.1111/...-blue.svg
                :target: https://doi.org/10.1111/j.1365-2966.2008.13754.x
        
        JamPy is a Python implementation of the Jeans Anisotropic Modelling (JAM)
        formalism of `Cappellari (2008) <http://adsabs.harvard.edu/abs/2008MNRAS.390...71C>`_,
        for galactic dynamics, in spherical and axisymmetric geometry.
        
        JamPy also includes the updates for proper motions in axisymmetric and
        spherical geometry of `Cappellari (2012) <http://arxiv.org/abs/1211.7009>`_ and
        `Cappellari (2015) <http://arxiv.org/abs/1504.05533>`_ respectively.
        
        Attribution
        -----------
        
        If you use this software for your research, please cite 
        `Cappellari (2008) <http://adsabs.harvard.edu/abs/2008MNRAS.390...71C>`_. 
        And if you use it for proper motions, also cite the relevant papers above.
        The BibTeX entry for the main JAM paper is::
        
            @ARTICLE{Cappellari2008,
                author = {{Cappellari}, M.},
                title = "{Measuring the inclination and mass-to-light ratio of
                    axisymmetric galaxies via anisotropic Jeans models of stellar
                    kinematics}",
                journal = {MNRAS},
                eprint = {0806.0042},
                year = 2008,
                volume = 390,
                pages = {71-86},
                doi = {10.1111/j.1365-2966.2008.13754.x}
            }
        
        Installation
        ------------
        
        install with::
        
            pip install jampy
        
        Without writing access to the global ``site-packages`` directory, use::
        
            pip install --user jampy
        
        Documentation
        -------------
        
        See ``jampy/examples`` and the files headers.
        
        License
        -------
        
        Copyright (c) 2003-2018 Michele Cappellari
        
        This software is provided as is without any warranty whatsoever.
        Permission to use, for non-commercial purposes is granted.
        Permission to modify for personal or internal use is granted,
        provided this copyright and disclaimer are included in all
        copies of the software. All other rights are reserved.
        In particular, redistribution of the code is not allowed.
        
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
