======== VoigtFit

Absorption line fitting implemented in Python.

If you use this software, please cite my paper on arXiv <http://arxiv.org/abs/1803.01187>. Please let me know that you're using VoigtFit by filling in this short form <https://forms.gle/exPEsrPoyfB4Us7w9>. 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 <http://conda.pydata.org/docs/> 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 <https://stackoverflow.com/questions/66741778/how-to-install-h5py-needed-for-keras-on-macos-with-m1>_]::

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.

.. _pip: http://www.pip-installer.org/ .. _documentation: http://VoigtFit.readthedocs.io

jkrogager / VoigtFit

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