Frequency-Domain Induced-Polarization (FDIP) data processing
Formerly part of BERT repository, but since 2026 independent. The code is based upon pyGIMLi (Rücker et al. 2017) and its ERT module based on Günther et al. (2006). Whereas the ERT module only includes only single-frequency (or chargeability) inversion, the spectral induced polarization (SIP) in the frequency domain. For time domain SIP, please use TDIP
For details and examples, we refer to the papers of Günther & Martin (2016) describing the methodology, Martin et al. (2020) comparing with time domain, Martin et al. (2021) for application to slag heaps, and the accompagnying Zenodo data sets with codes.
To use the package and keep updated, just
git clonethe repository and go to its location with bash, PowerShell etc.- install the code editable by
pip install -e . - Update at any later time by
git pull(no further step needed)
If you use UV, the simplest way is to create a virtual environment by typing uv run in the project folder.
The venv is created in the main folder and if you open the folder in VSCode it is chosen as default environment.
References
- Günther, T. & Martin, T. (2016): Spectral two-dimensional inversion of frequency-domain induced polarisation data from a mining slag heap. Journal of Applied Geophysics 135, 436-448, doi:10.1016/j.jappgeo.2016.01.008.
- Martin, T., Günther, T., Orozco, A.F. & Dahlin, T. (2020): Evaluation of spectral induced polarization field measurements in time and frequency domain, J. Appl. Geophys. 180, 104141, doi:10.1016/j.jappgeo.2020.104141.
- Martin, T., Günther, T., Weller, A. & Kuhn, K. (2021): Classification of slag material by spectral induced polarization laboratory and field measurements. J. Appl. Geophys. 194, 104439, doi:10.1016/j.jappgeo.2021.104439.
- Rücker, C., Günther, T., Wagner, F.M. (2017): pyGIMLi: An open-source library for modelling and inversion in geophysics, Computers & Geosciences 109, 106-123, doi:10.1016/j.cageo.2017.07.011.
- Günther, T., Rücker, C. & Spitzer, K. (2006): Three-dimensional modeling and inversion of dc resistivity data incorporating topography – II: Inversion. Geophys. J. Int. 166, 506-517, doi:10.1111/j.1365-246X.2006.03011.x.
- Rücker, C., Günther, T. & Spitzer, K. (2006): Three-dimensional modeling and inversion of dc resistivity data incorporating topography – I: Modeling. Geophys. J. Int. 166, 495-505, doi:10.1111/j.1365-246X.2006.03010.x.