This is the public repository for the Airborne Electromagnetic Inversion toolbox "aempy" (python3 version), which was originally developed at DIAS starting with the project "Spatially constrained Bayesian inversion of frequency- and time-domain electromagnetic data from the Tellus projects", funded by the geological survey of Ireland GSI (2015-sc-004), It is distributed under the GNU GENERAL PUBLIC LICENSE Version 3.
Please keep in mind that this is an experimental software, and may contain errors. Use at your own risk! However, we will frequently update the repository correcting bugs, and adding additional functionality.
This repository contains the following subdirectories:
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core1d This directory contains the Fortran 90 source code for the computational core run by the Python toolbox. Currently it contains wrappers for the two systems used in Tellus: GTK4 and CGG Genesis. the numerics is derived from the AMIRA/CSIRO AirBeo software. Wrappers for GEOTEM are work in progress.
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info Doumentation for the toolbox, and some useful documentation for python, including the most important extensions, numpy, scipy, and matplotlib
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modules Contains the modules aem.py, inv.py, and mt.py which are called from the Python scripts run for different tasks of AEM inversion
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scripts Contains the scripts for preprocessing, visualization, and one-dimensional inversion of AEM data, explaining the typical work flow using the toolbox.
Get your working copy via git from the command line:
git clone https://github.com/volkerrath/AEMPY3/
The scripts and jupyter notebooks are available in the subdirectory AEMPY3/aempy3.
This version will run under Python up to 3.7 (3.8 not yet tested). To install it in an Linux environment (e.g. Ubuntu, SuSE), you need to the following:
(1) Download the latest Anaconda or Miniconda version (https://www.anaconda.com/distribution/), and install by runing the downloaded bash script.
(2) Create an appropriate conda environment (including the necessary prerequisites) by:
conda env create -f AEMpy3.yml
(3) Activate this environment by:
conda activate AEMPY3
Enjoy!
D. Kiyan & V. Rath