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a Python implementation of Vondrák's long term precession model

Project description

Vondrák’s Long Term Precession Model

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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

  1. Ensure precision

  2. Finish tests

  3. 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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vondrak-0.02.tar.gz (4.9 kB view hashes)

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