Skip to content

Latest commit

 

History

History
55 lines (38 loc) · 2.23 KB

README.md

File metadata and controls

55 lines (38 loc) · 2.23 KB

occam1dtem

Toy Occam inversion code for 1D TEM (central loop) method in Matlab

DATA

The example data are from the forward modelling of a synthetic model (examples/true.mod) The forward modelling algorithm is an approximate method called ABFM (Adaptive Born Forward Mapping) from Christensen, 2002:

Christensen N. B. (2002). A generic 1-D imaging method for transient electromagnetic data. Geophysics, 67(2), 438–447. doi:10.1190/1.1468603 see also my toy occam code for magnetotellurics:

[https://github.com/dong-hao/occam1dmt]

USAGE

See example/testbench.m for a simple demonstration on how to load the data and call the inversion code.

something like a disclaimer

This was one of many toy codes I fiddled with when I was a student - I hope this could be useful to our students nowadays in the EM community. Those who want to try this script are free to use it on academic/educational cases. But of course, I cannot guarantee the script to be working properly and calculating correctly (although I wish so). Have you any questions or suggestions, please feel free to contact me (but don't you expect that I will reply quickly!).

HOW TO GET IT

git clone https://github.com/dong-hao/occam1dtem/ your_local_folder

UNITS

The internal scale here is log10(Simens/m) - instead of linear scale for both conductivity and apparent conductivity. The layer depth is in (linear) metres, while the dB/dt unit is in A/m^2.

ERRORS

Currently the internal error here is standard deviation.

HOW TO GET UPDATED

cd to_you_local_folder
git pull

Contact

DONG Hao – donghao@cugb.edu.cn

China University of Geosciences, Beijing

Distributed under the GPL v3 license. See LICENSE for more information.

[https://github.com/dong-hao/occam1dtem]

Contributing

Those who are willing to contribute are welcomed to try - but I probably won't have the time to review the commits frequently (not that I would expect there will be any).

  1. Fork it (https://github.com/dong-hao/occam1dtem/fork)
  2. Create your feature branch (git checkout -b feature/somename)
  3. Commit your changes (git commit -am 'Add some features')
  4. Push to the branch (git push origin feature/somename)
  5. Create a new Pull Request - lather, rinse, repeat