a Python implementation of Vondrák's long term precession model
Project description
Vondrák’s Long Term Precession Model
This is a Python implementation of Vondrák’s long term precession model and Fortran code. This code stems from an IPython notebook (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.
Install
To install the Vondrak Python package, simply pip install vondrak. All code is hosted at github.com/digitalvapor/vondrak.
To-do
Ensure precision
Finish tests
Examples & Docs
Documentation
View here, 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.
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