Monte-Carlo, Multi-Component ISM Fitting
Project description
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
Project details
Release history Release notifications | RSS feed
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 mcfine-0.3.tar.gz.
File metadata
- Download URL: mcfine-0.3.tar.gz
- Upload date:
- Size: 5.3 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4bdb6d336b5e2537eea2a9130397bf6ad34258b8f7a3eca7314c0bbe4a5514a2
|
|
| MD5 |
05878faef520abd85523e188d9b4605e
|
|
| BLAKE2b-256 |
7ae84b3a5fc389a738720169374c39496e70d3a68ecefd35c5d8129fbf38170f
|
File details
Details for the file mcfine-0.3-py3-none-any.whl.
File metadata
- Download URL: mcfine-0.3-py3-none-any.whl
- Upload date:
- Size: 53.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c3115be37d2af6863b64bba99bfdfe7c2d7fd44e7fa7c1a35adc8f36d85c7184
|
|
| MD5 |
2f7bb4f0f7df75deaf0a2816d713714b
|
|
| BLAKE2b-256 |
f4d876feedbff2207ae210cabefbf7adf499553acd3da8628abe359e36b677d8
|