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Magnetotelluric (MT) Instrumentation and Data Processing Short Course

	Info
When	October 18-20th 2022
conda environment	`em`
Slides	MT inversion

Team

Seogi Kang (Instructor)
Jared Peacock (Instructor)
Karl Kepler (Instructor)
Lindsey Heagy
and the SimPEG contributors

Summary

This repository contains the notebooks and tutorial resources for the Magnetotelluric (MT) Instrumentation and Data Processing Short Course - through Day2-Day4:

Day2: MT Data, Data Formats, Software, & Data Processing
Day3: MT Dataset Explorations
Day4: MT inversions and Earth Models.

This set of tutorials focus on providing hands-on examples of downloading, processing, visualzing, and inverting MT data.

Prerequisites

Software

Some knowledge of Python is assumed.
All coding will be done in Jupyter notebooks. I'll explain how they work briefly but it will help if you've used them before.
We will ll use numpy, matplotlib, and ipywidgets You don't need to be an expert in these tools but some familiarity will help.

Step 1: Download the MT inversion tutorial

To clone this repository, open up a terminal and navigate to where you want this repository stored on your computer.

Then run

git clone https://github.com/simpeg-research/iris-mt-course-2022.git

to clone the repository, and cd into the iris-mt-course-2022 directory

cd iris-mt-course-2022

Step 2: Create `em` conda environment

From inside of the iris-mt-course-2022 repository, create the em conda environment

conda env create -f environment.yml

and activate the environment

conda activate em

cd ..

Step 3: Install `mt_metadata`, `MTH5`, `MTpy`, `aurora`, `SimPEG`

Then

git clone https://github.com/kujaku11/mt_metadata.git

cd mt_metadata

python setup.py install

cd ..

git clone https://github.com/kujaku11/mth5.git

cd mth5

python setup.py install

cd ..

git clone https://github.com/MTgeophysics/mtpy.git

cd mtpy

git checkout -f v2

python setup.py install

cd ..

git clone https://github.com/simpeg/aurora.git

cd aurora

pip install -e .

cd ..

git clone https://github.com/simpeg/simpeg.git

cd simpeg

git checkout -f tiled_fdem_nsem

pip install -e .

cd ..

cd iris-mt-course-2022

Step 4: Launching the notebooks

Once you have activated the conda environment, you can launch the notebooks

jupyter lab

Jupyter will then launch in your web-browser.

Resources

Resources on MT processing and inversions

Resources on SimPEG

License

All code and text in this repository is free software: you can redistribute it and/or modify it under the terms of the MIT License. A copy of this license is provided in LICENSE.

jiajiasun/iris-mt-course-2022