https://github.com/simpeg-research/earthscope-mt-course
Tutorial Notebooks for an MT workflow
https://github.com/simpeg-research/earthscope-mt-course
archiving magnetotellurics modeling processing
Last synced: 3 months ago
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Tutorial Notebooks for an MT workflow
- Host: GitHub
- URL: https://github.com/simpeg-research/earthscope-mt-course
- Owner: simpeg-research
- License: mit
- Created: 2022-08-19T20:15:43.000Z (almost 4 years ago)
- Default Branch: 2024
- Last Pushed: 2025-02-28T20:55:25.000Z (over 1 year ago)
- Last Synced: 2025-02-28T23:38:28.797Z (over 1 year ago)
- Topics: archiving, magnetotellurics, modeling, processing
- Language: Jupyter Notebook
- Homepage:
- Size: 130 MB
- Stars: 19
- Watchers: 7
- Forks: 5
- Open Issues: 9
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
**[summary](#summary) | [prerequisites](#prerequisites) | [setup](#setup) | [resources](#resources) | [license](#license)**
[](https://github.com/simpeg-research/earthscope-mt-course/blob/main/LICENSE)
[](http://simpeg.xyz)
[](https://twitter.com/sgkang09)
# Magnetotelluric (MT) Instrumentation and Data Processing Short Course
| | Info |
|--------:|:-----|
| When | October 18-20th 2022|
| | October 28-Nov 1 2024|
| conda environment | `em` |
**Team**
- [Seogi Kang](https://github.com/sgkang) (Instructor)
- [Jared Peacock](https://github.com/kujaku11) (Instructor)
- [Karl Kappler](https://github.com/kkappler) (Instructor)
- [Lindsey Heagy](http://github.com/lheagy)
- [Mike Mitchell]()(Instructor)
- [Paul Bedrosian]()
- and the [SimPEG contributors](https://github.com/simpeg/simpeg/graphs/contributors)
## Summary
This repository contains the notebooks and tutorial resources for the Magnetotelluric (MT) Instrumentation and Data Processing Short Course - through Day 2-Day 4:
- Day 2: MT Data, Data Formats, Software, & Data Processing
- Day 3: MT Dataset Explorations
- Day 4: 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 use [numpy](https://numpy.org/), [matplotlib](https://matplotlib.org/), and
[ipywidgets](https://ipywidgets.readthedocs.io/)
You don't need to be an expert in these tools but some familiarity will help.
## Setup
### Anaconda
If you do not already have Anaconda you can download it [here](https://www.anaconda.com/download/success).
*Be sure to download the correct package for your operating system.*
### Step 1: Download the MT tutorial notebooks
To clone this repository, open up an Anaconda terminal and navigate to where you want this repository stored on your computer.
Then run
```
git clone https://github.com/simpeg-research/earthscope-mt-course.git
```
to clone the repository, and `cd` into the `earthscope-mt-course-2024` directory
```
cd earthscope-mt-course
```
### Step 2: Create `em` conda environment
#### Create environment
From inside of the `earthscope-mt-course` repository, create the `em` conda environment
```
conda env create -f environment.yml
```
and activate the environment
```
conda activate em
```
### Step 3: 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**
- [mt-metadata](https://github.com/kujaku11/mt_metadata)
- [MTH5](https://github.com/kujaku11/mth5)
- [MTpy-v2](https://github.com/MTgeophysics/mtpy-v2)
- [aurora](https://github.com/simpeg/aurora)
- [SimPEG](https://www.simepg.xyz)
**Resources on SimPEG**
- [Docs](http://docs.simpeg.xyz/)
- [Discourse](http://simpeg.discourse.group/)
- [Slack](http://slack.simpeg.xyz/)
## 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](LICENSE).