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Part of the Fatiando a Terra project
Magali is a Python library for modeling and processing magnetic microscopy data. It is able to perform data transformation, automatically identify particles in imagery, and perform inversions for magnetic dipole moments.
Why this name? Magali is one of the main characters in a beloved Brazilian comic strip who is always eating watermelons. It also sounds a bit "magnetic" and we thought the logo looked cool.
- Implement forward modeling and inversion specific for magnetic microscopy, using adequate units and data conventions.
- Allow the automatic determination of the magnetic moments of thousands of particles.
- Provide a basis for development of novel methodologies that can unlock the potential of these new data.
- Make available tools for synthetic data simulation to test methods and drive hardware development.
Magali is in early stages of development. We're still figuring out what the best approach, API, and methods will be. Expect breaking changes on new releases as we work towards a more stable future release.
We welcome feedback and ideas! This is a great time to bring new ideas on how we can improve the project. Join the conversation or submit issues on GitHub.
This is free software: you can redistribute it and/or modify it under the terms
of the BSD 3-clause License. A copy of this license is provided in
LICENSE.txt.