A package for automating the data processing involved in the analysis of (in-situ) X-ray absorption spectroscopy data.
Project description
Automated analysis of X-ray Absorption Spectroscopy (XAS) data
Installation
Prerequisites
autoXAS requires python >= 3.7.
If needed, create a new environment with a compatible python version:
conda create -n autoXAS_env python=3.10
conda activate autoXAS_env
Install with pip
Run the following command to install the autoXAS package.
pip install autoXAS
Install locally
Clone the repository.
git clone git@github.com:UlrikFriisJensen/autoXAS.git
Run the following command to install the autoXAS package.
pip install .
Usage
See paper for example use.
Cite
If you use the autoXAS package, please cite our paper:
@misc{friis-jensen_autoxas_2025,
title = {{autoXAS}: {Automated} {Analysis} of {X}-ray {Absorption} {Spectroscopy} {Data}},
shorttitle = {{autoXAS}},
url = {https://chemrxiv.org/engage/chemrxiv/article-details/68c019983e708a7649f432de},
doi = {10.26434/chemrxiv-2025-8pjq3},
language = {en},
publisher = {ChemRxiv},
author = {Friis-Jensen, Ulrik and Jensen, Kirsten Marie Ørnsbjerg and Pittkowski, Rebecca},
month = sep,
year = {2025},
}
Issues and feature requests
If you encounter any issues while using autoXAS, please report them by opening an issue on the GitHub repository. Please provide as many details as possible, including steps to reproduce the issue and any error messages you received.
If you have any good ideas or features you're missing, then please suggest them as an Issue with the "enhancement" label on the GitHub repository.
Contributing to autoXAS
If you would like to contribute to autoXAS please follow these steps:
- Fork the repository
- Make changes in a new branch
- Submit a pull request
The changes will be reviewed and merged when they meet quality standards.
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