Metadata-Version: 1.1
Name: vondrak
Version: 0.02
Summary: a Python implementation of Vondrák's long term precession model
Home-page: https://github.com/digitalvapor/vondrak
Author: Tom Spalding
Author-email: tommycs@mail.sfsu.edu
License: Creative Commons Attribution-ShareAlike 4.0 International License
Download-URL: https://github.com/digitalvapor/vondrak/tarball/0.02
Description: Vondrák's Long Term Precession Model
        ====================================
        
        |Build Status|
        
        This is a Python implementation of Vondrák's long term precession model
        and Fortran code. This code stems from an IPython notebook
        (`vondrak.ipynb <http://nbviewer.ipython.org/github/digitalvapor/asterisms/blob/master/notebooks/vondrak.ipynb>`__)
        I wrote to figure out how to implement a long term precession model.
        
        -  *`Some New Thoughts About Long-Term
           Precession <http://syrte.obspm.fr/jsr/journees2010/pdf/Vondrak.pdf>`__*
           (2010)
        -  *`New Long-Term Expressions for
           Precession <http://syrte.obspm.fr/jsr/journees2011/pdf/vondrak.pdf>`__*
           (2011)
        -  *`New precession expressions, valid for long time
           intervals <http://www.aanda.org/articles/aa/pdf/2011/10/aa17274-11.pdf>`__*
           (2011)
        -  *`New precession expressions, valid for long time intervals
           (Corrigendum) <http://www.aanda.org/articles/aa/abs/2012/05/aa17274e-11/aa17274e-11.html>`__*
           (2012)
        
        Dependencies
        ============
        
        The only dependency is `numpy <https://github.com/numpy/numpy>`__.
        
        Install
        =======
        
        To install the `Vondrak Python
        package <https://pypi.python.org/pypi/vondrak>`__, simply
        ``pip install vondrak``. All code is hosted at
        `github.com/digitalvapor/vondrak <https://github.com/digitalvapor/vondrak>`__.
        
        To-do
        =====
        
        1. Ensure precision
        2. Finish tests
        3. Examples & Docs
        
        Documentation
        =============
        
        View
        `here <http://nbviewer.ipython.org/github/digitalvapor/vondrak/blob/master/vondrak/docs/documentation.ipynb>`__,
        generate with ``ipython nbconvert --to html documentation.ipynb``, or
        run ``ipython notebook``.
        
        License
        =======
        
        This work is licensed under a `Creative Commons Attribution-ShareAlike
        4.0 International
        License <http://creativecommons.org/licenses/by-sa/4.0/>`__.
        
        .. |Build Status| image:: https://travis-ci.org/digitalvapor/vondrak.svg
           :target: https://travis-ci.org/digitalvapor/vondrak
        
Keywords: astronomy,precession,vondrak,space,proper motion
Platform: UNKNOWN
Classifier: Development Status :: 1 - Planning
Classifier: Intended Audience :: Science/Research
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering :: Astronomy
