summary | prerequisites | setup | resources | license
| 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
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.
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.
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
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 ..
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
Once you have activated the conda environment, you can launch the notebooks
jupyter lab
Jupyter will then launch in your web-browser.
Resources on MT processing and inversions
Resources on SimPEG
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.