Repository files navigation

Documentation (latest) •Documentation (main branch) •Contributing •Contact •Ask a question

Part of theFatiando a Terra project

Magali is a Python library for modeling and processing magnetic microscopydata. It is able to perform data transformation, automatically identifyparticles in imagery, and perform inversions for magnetic dipole moments.

Why this name? Magali is one of the main characters in abelovedBrazilian comic strip whois always eating watermelons. It also sounds a bit "magnetic" and we thoughtthe 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 ofparticles.
• Provide a basis for development of novel methodologies that can unlock thepotential of these new data.
• Make available tools for synthetic data simulation to test methods and drivehardware development.

Magali is in early stages of development. We're still figuring out what thebest approach, API, and methods will be. Expect breaking changes on newreleases as we work towards a more stable future release.

We welcome feedback and ideas! This is a great time to bring new ideas onhow we can improve the project.Join the conversation or submitissues on GitHub.

This is free software: you can redistribute it and/or modify it under the termsof theBSD 3-clause License. A copy of this license is provided inLICENSE.txt.