https://github.com/mdtanker/invert4geom
3D geometric gravity inversions
https://github.com/mdtanker/invert4geom
basement basin bathymetry geophysics gravity inversion moho
Last synced: 4 months ago
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3D geometric gravity inversions
- Host: GitHub
- URL: https://github.com/mdtanker/invert4geom
- Owner: mdtanker
- License: mit
- Created: 2023-10-25T14:02:40.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-04-22T12:39:54.000Z (about 2 years ago)
- Last Synced: 2024-04-22T12:56:13.429Z (about 2 years ago)
- Topics: basement, basin, bathymetry, geophysics, gravity, inversion, moho
- Language: Python
- Homepage: https://invert4geom.readthedocs.io/en/latest/
- Size: 24 MB
- Stars: 5
- Watchers: 1
- Forks: 2
- Open Issues: 4
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Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
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README
Invert4geom
3D geometric gravity inversions
**Invert4geom** is a Python library for performing 3D geometric gravity inversions, where the aim is to recover the geometry of a density contrast.
Typical use cases include modeling the topography of the Moho, the sediment-basement contact, or bathymetry.
These density contrasts are represented by a layer of either vertical right-rectangular prisms or tesseroids (spherical prisms).
See the [overview](overview.md) for further description of this package and what it can be used for.
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## Disclaimer
🚨 **Ready for daily use but still changing.** 🚨
This means that we are still adding a lot of new features and sometimes we make changes to the ones we already have while we try to improve the software based on users' experience, test new ideas, make better design decisions, etc.
Some of these changes could be **backwards incompatible**.
Keep that in mind before you update Invert4Geom to a new major version (i.e. from `v1.0.0` to `v2.0.0`) and always check the [Changelog](https://github.com/mdtanker/invert4geom/blob/main/CHANGELOG.md) for `BREAKING CHANGES` and how to update your code appropriately.
I welcome any feedback, ideas, or contributions!
Please contact us on the [GitHub discussions page](https://github.com/mdtanker/invert4geom/discussions) or submit an [issue on GitHub](https://github.com/mdtanker/invert4geom/issues) for problems or feature ideas.
#### What _Invert4Geom_ is for:
- invert **gravity** data to recover the topography of a density contrast
- invert **gravity** data to recover the spatially-variable density of a layer of known geometry
- use with **gridded** gravity data
- discretization using _vertical right-rectangular prisms_ or _tesseroids_
- performing regional-residual separation
- stochastic uncertainty analysis of inversion results
- basic visualization tools
#### What _Invert4Geom_ is **NOT** for:
- performing parameter-estimation inversions (i.e. recovering density values) -> see [SimPEG](https://simpeg.xyz/) or [pyGIMLi](https://www.pygimli.org/index.html)
- while we have a simple density inversion implementation this is just for a simple single-layer model and not a mesh.
- a point-and-click GUI -> see [Geosoft/Seequent Oasis Montaj](https://www.seequent.com/products-solutions/geosoft-oasis-montaj/) or [MiraGeoscience VPmg](https://www.mirageoscience.com/mining-industry-software/geoscience-analyst-pro-geophysics/)
- a ready-to-use inversion with minimal user input
- use with discrete (un-gridded) gravity data -> see [Harmonica](https://www.fatiando.org/harmonica/latest/index.html) for gridding your data
- for processing gravity data -> see [Harmonica](https://www.fatiando.org/harmonica/latest/index.html) for gravity processing tools
- publication-quality visualization -> see [PyGMT](https://www.pygmt.org/dev/index.html) for plotting tools
## How to contribute
I welcome all forms of contribution! If you have any questions, comments or suggestions, please open a [discussion](https://github.com/mdtanker/invert4geom/discussions/new/choose) or [issue (feature request)](https://github.com/mdtanker/invert4geom/issues/new/choose)!
Also, please feel free to share how you're using Invert4Geom, I'd love to know.
Please, read our [Contributor Guide](contributing.md) to learn how you can contribute to the project.