MagmaPandas based PEC correction tool for olivine-hosted melt inclusions.
Project description
MagmaPEC is a flexible algorithm for correcting olivine-hosted melt inclusions for the effects of post-entrapment crystallisation (PEC) or melting. MagmaPEC is based on models implemented in MagmaPandas <https://pypi.org/project/MagmaPandas/>.
Documentation
Code documentation and working examples are available at magmapec.readthedocs.io
How to cite MagmaPandas
If have used MagmaPEC in your research, please reference this paper . To ensure reproducibility, please also mention the release version of MagmaPEC and reference the specific models you used (see MagmaPandas documentation).
Installation
MagmaPEC can be installed with pip by running:
pip install magmapec
in a terminal. If you want to install from a specific git branch or release, use:
pip install git+https://github.com/TDGerve/MagmaPEC.git@tag
where tag should be repleaced by the release tag or branch name (e.g. v1.0.0 or development)
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file magmapec-1.0.3.tar.gz.
File metadata
- Download URL: magmapec-1.0.3.tar.gz
- Upload date:
- Size: 26.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
32397d6ecc3cce54ec89f3daa26e4cb1f074eb4dd66e23bd37a0bfc3a1562ddc
|
|
| MD5 |
408fb5fbb10470ad3f7f0ba510f707d7
|
|
| BLAKE2b-256 |
2386299124db3a94f732ff97d2815ac070340f017c1d76ad2ffef47a5307d7a6
|
File details
Details for the file magmapec-1.0.3-py3-none-any.whl.
File metadata
- Download URL: magmapec-1.0.3-py3-none-any.whl
- Upload date:
- Size: 33.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e3e13da852782bc6b2598b5a7e9f09d694b0896d918af11d52200645892d4f35
|
|
| MD5 |
1c4a7b573ba43ef26db2b7d6654c95ff
|
|
| BLAKE2b-256 |
3207a467c267b2dd5f5e8c468ecaf09548fb7724df1186523ef74a972c052e09
|