McFine: A tool for hyperfine spectral line fitting
A python package for complex, multi-component hyperfine spectra fitting in astronomical data.
Installation
- McFine is pip installable
$ pip install mcfine
Or if you want to also use the RT capabilities:
$ pip install git+https://github.com/astropenguin/ndradex.git
Please note that for now RT capabilities are untested, and will be updated in future versions
Documentation
Full documentation is available at https://mcfine.readthedocs.io, along with some examples and demonstrations of features.
A more philosophical introduction to McFine is presented in Williams & Watkins (2024), along with some tests of how well the code performs in synthetic tests and on real life space data.
Problems?
Feel free to email me, thomas.g.williams94 (at) gmail.com
Metadata
Release files for mcfine 0.4
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| mcfine-0.4.tar.gz | 5.3 MB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mcfine-0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.4 MB
Release files / mcfine-0.4.tar.gz
| Download URL | mcfine-0.4.tar.gz |
|---|---|
| Size | 5.3 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
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Release files / mcfine-0.4-py3-none-any.whl
| Download URL | mcfine-0.4-py3-none-any.whl |
|---|---|
| Size | 60.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Security for mcfine 0.4
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