Citing pyGIMLi

If you use pyGIMLi for your work, please cite this paper as:

Rücker, C., Günther, T., Wagner, F.M., 2017. pyGIMLi: An open-source library for modelling and inversion in geophysics, Computers and Geosciences, 109, 106-123, doi: 10.1016/j.cageo.2017.07.011.


Scripts to reproduce the figures in the paper can be found at https://cg17.pygimli.org.

BibTeX code:

@article{Ruecker2017,
  title = "{pyGIMLi}: An open-source library for modelling and inversion in geophysics",
  journal = "Computers and Geosciences",
  volume = "109",
  number = "",
  pages = "106--123",
  year = "2017",
  issn = "0098-3004",
  doi = "10.1016/j.cageo.2017.07.011",
  url = "http://www.sciencedirect.com/science/article/pii/S0098300417300584",
  author = "Carsten R\"ucker and Thomas G\"unther and Florian M. Wagner"
}

Other studies and extended abstracts about pyGIMLi

CRucker15

C. Rücker, T. Günther, F. Wagner. PyGIMLi - Eine Open Source Python Bibliothek zur Inversion und Modellierung in der Geophysik. In 75. Jahrestagung der Deutschen Geophysikalischen Gesellschaft (DGG), Hannover 2015. 2015.

CRucker16

C. Rücker, T. Günther, F. Wagner. PyGIMLi - An Open Source Python Library for Inversion and Modelling in Geophysics. In 78th EAGE Conference and Exhibition 2016, WS08-Open Source Software in Applied Geosciences. 2016. doi:10.3997/2214-4609.201601651.

Rucker11

Rücker, C. Advanced Electrical Resistivity Modelling and Inversion using Unstructured Discretization. PhD thesis, University of Leipzig, 2011. URL: https://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-69066.