VoigtFit
Absorption line fitting implemented in Python.
If you use this software, please cite my paper on arXiv. Please let me know that you’re using VoigtFit by filling in this short form. This way I can keep you updated with critical updates.
Installation
Dependencies
Python version >3.6 (tested on 3.6 - 3.9 so far).
VoigtFit depends on matplotlib, numpy==1.20.3, scipy, h5py, astropy, lmfit, and numba==0.55.0. You can install these using your favorite Python package manager such as conda or pip.
If you encounter issues with the installation of h5py make sure that you have the HDF5 library installed. If you use Homebrew as a package manager you can try this fix [following stackoverflow]:
brew install hdf5 export HDF5_DIR="$(brew --prefix hdf5)" pip install --no-binary=h5py h5py
If you encounter issues with the installation of numba (happened for me on Mac M1 architecture), try the following:
arch -arm64 brew install llvm@11 LLVM_CONFIG="/opt/homebrew/Cellar/llvm@11/11.1.0_4/bin/llvm-config" arch -arm64 pip install llvmlite
before installing numba.
Using pip
The easiest way to install the most recent stable version of VoigtFit is using pip:
pip install VoigtFit
If you encounter the following AttributeError when attempting to install via pip:
AttributeError: ‘NoneType’ object has no attribute ‘splitlines’
Try running pip with the --upgrade option:
pip install --upgrade VoigtFit
From source
Alternatively, you can get the latest version of the source by cloning the git repository:
git clone https://github.com/jkrogager/VoigtFit.git
Once you’ve downloaded the source, you can navigate into the root source directory and run:
python setup.py install
If you encounter any problems, do not hesitate to raise an issue here.
Further documentation and how to use it
Check out the documentation for instructions of installation and use.
1 maintainer
Release files for VoigtFit 3.23
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| voigtfit-3.23.tar.gz | 7.1 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| voigtfit-3.23-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.7 MB
Release files / voigtfit-3.23.tar.gz
| Download URL | voigtfit-3.23.tar.gz |
|---|---|
| Size | 7.1 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.11.15
|
Release files / voigtfit-3.23-py3-none-any.whl
| Download URL | voigtfit-3.23-py3-none-any.whl |
|---|---|
| Size | 2.6 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.11.15
|
