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NSG2023-EMinversion

Data and scripts underlying the publication: Global search inversion for electromagnetic induction data using layered models

3
contributors

Description

The repository contains Python scripts to calculate lookup tables using semi-analytic and low induction number approximation forward models of frequency domain electromagnetic induction measurements of 2-layered electrical conductivity earth models. Additionaly, the repository holds field data acquired using a DUALEM842s instrument. Finally, Jupyter Notebooks scripts to display the results.

Logo of NSG2023-EMinversion
Keywords
electromagnetic induction
frequency domain electromagnetics
geophysics
Programming languages
  • Python 65%
  • Jupyter Notebook 23%
  • Other 10%
  • Markdown 1%
License
  • CC-BY-4.0
</>Source code
Packages
data.4tu.nl

Reference papers

Contributors

DW
Dieter Werthmüller
ES
Evert Slob
MCM
Maria Carrizo Mascarell

Member of community

4TU