https://github.com/cossatot/pecube-hugg

This is the HUGG repository for Pecube. Different versions of Pecube are available as branches.

https://github.com/cossatot/pecube-hugg

Repository

This is the HUGG repository for Pecube. Different versions of Pecube are available as branches.

https://github.com/cossatot/Pecube-HUGG/blob/master/

Pecube-HUGG
===========

This is a repository for the thermokinematic and thermochronometer age prediction program Pecube. Different versions of Pecube are available as branches. As of 30.12.13, the only available code version is the HUGG version of Pecube, which was forked from Pecube version 3.0, distributed by Jean Braun in September 2010. We intend to add other versions of Pecube to the repository in the near future.

Licensing
---------

Pecube is open source. The particular license restrictions for different versions of Pecube are given in the README.md files for each branch.

Attribution
-----------

When publishing or presenting results from Pecube experiments please cite the following article(s):

* Braun, J. (2003). Pecube: A new finite element code to solve the heat transport equation in three dimensions in the Earths crust including the effects of a time- varying, finite amplitude surface topography. _Compututers and Geosciences_, 29:787794.
* Braun, J., der Beek, van, P., Valla, P., Robert, X., Herman, F., Glotzbach, C., et al. (2012). Quantifying rates of landscape evolution and tectonic processes by thermochronology and numerical modeling of crustal heat transport using PECUBE. _Tectonophysics_, 524525(0), 128. doi:10.1016/j.tecto.2011.12.035

Data inversion using the Neighbourhood Algorithm
------------------------------------------------

If performing inversions of thermochronometer data using the [Neighbourhood Algorithm](http://rses.anu.edu.au/~malcolm/na/), be aware that as described in the software package, use of the Neighbourhood Algorithm is restricted to non-commercial research and teaching. Any commercial use requires explicit written permission. More information about the Neighbourhood Algorithm and its use can be found on the [Neighbourhood Algorithm web page](http://rses.anu.edu.au/~malcolm/na/).

Owner

GitHub Events