VoigtFit 3.20.2

Voigt Profile Fitting in Python

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.