Can an inversion be made for magnetotelluric data? in what format?

[Ivan-Huamani]

Problem description

I want to perform an inversion of MT data, I understand that pyGIMLi can do it, however I have had problems using the 
function: "import pygimli.physics.mt as mt" and others similar

Your environment

ModuleNotFoundError                       Traceback (most recent call last)
Cell In[3], line 1
----> 1 import pygimli.physics.mt as mt

ModuleNotFoundError: No module named 'pygimli.physics.mt'

Operating system: e.g. Windows, Linux or Mac?
Windows
Python version: e.g. 3.9, 3.10, etc.?
Jupyter Lab
pyGIMLi version: Output of print(pygimli.__version__)
1.5.3
Way of installation: e.g. Conda package, manual compilation from source, etc.
Conda

[halbmy]

There is no real MT module in pyGIMLi. In the C++ core, there is a 1D MT (block or smooth) modelling operator based on Wait's algorithm and I agree it could be good to create a modern pg.Modelling based operator so that it can be used for demonstration purposes.

Furthermore, it would be good to implement 2D modelling operators for TE and TM mode separately based on the general Finite-Element solver. When it comes to 3D MT, I would point you towards the custEM project that also includes 3D MT for various data types (impedances, tipper, ...).

[Ivan-Huamani]

In any case, how could I use 1D MT modeling? or how could I implement new modeling operators or use external projects like custEM for 3D in pyGIMLi?