Surrogate assisted parallel tempering Bayeslands
We have two major versions
- Surrogate parallel tempering using random-walk proposal distribution for Badlands landscape evolution model: [surrogate_ptBayeslands.py] to run with [run.sh]
- paper online: Surrogate-assisted Bayesian inversion for landscape and basin evolution models
The framework is built using:
- Parallel tempering Bayeslands
- R. Chandra et. al, Multicore Parallel Tempering Bayeslands for Basin and Landscape Evolution with Arxiv open access
- Badlands model
- install conda python 3.x version: https://www.anaconda.com/distribution/
- conda install -c plotly chart-studio (install in conda env)
- curl "https://bootstrap.pypa.io/get-pip.py" -o "get-pip.py" (install pip3 in conda env)
- python3 get-pip.py --user
- pip3 install tribad
- pip3 install gFlex
- pip3 install badlands/ (do sudo if needed)
- run_uplift.sh
- results in Examples/australia folder
- Results with data for surrogate evaluation offline
- Results for landscape evolution problems - selected runs
- TBA
- R. Chandra, D. Azam , A. Kapoor and R. D. Muller Surrogate-assisted Bayesian inversion for landscape and basin evolution models
- This project is licensed under the MIT License - see the Open Source Licence file for details
- Dr. Nathanial Butterworth, Sydney Informatics Hub, University of Sydney
- Mr. Konark Jain, Indian Institute of Technology
- Dr. Rohitash Chandra, University of New South Wales (c.rohitash at gmail.com or rohitash.chandra at unsw.edu.au)