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This is a demonstration notebook to show how to run ASPECT in a Jupyter notebook within a docker container. Instructions have been verified using the docker image tjhei/aspect-jupyter. Alternatively, with modifications you should be able to run this on a native install.
This notebook has been developed using:
- Python 3.5.3
- IPython 4.0.3
- Jupyter 5.0
- Jupyter widget extension (see Appendix B)
- matplotlib
- numpy
- tables
- docker (optional) To complete all exercises, you will also need:
- ParaView
By completing this notebook, you will learn how to:
- Run ASPECT from the command line within a notebook environment.
- Understand the basic layout of a .prm file used to control ASPECT simulations.
- Plot simple output statistics and create files that are viewable in ParaView (and Visit).
- Explore the Nusselt-Rayleigh number relationship.
ASPECT is an open source community project. As such, we encourage contributions from the community to improve this code over time.
Lead Developers: Wolfgang Bangerth, Timo Heister, Rene Gassmöller, and Juliane Dannberg
Notebook Authors: Lorraine J. Hwang and Ian Rose with tutorial material from Juliane Dannberg
aspect-devel mailing list: http://lists.geodynamics.org/cgi-bin/mailman/listinfo/aspect-devel
Subscribe to the CIG mantle convection (cig-mc) mailing list: https://geodynamics.org/cig/about/mailing-lists/
github repository: https://github.com/geodynamics/aspect
website: aspect.dealii.org
Computational Infrastructure for Geodynamics - University of California, Davis - geodynamics.org