Introduction

Xrsdkit provides a data-driven modeling framework for scattering and diffraction patterns. This includes tools for:

• data analysis (least-squares fitting of patterns)
• curation of analysis results to build modeling datasets
• training predictive models from curated datasets
• application of trained models to analyze new samples

These tools can be used in Python scripts or with the included (equally functional) GUI.

The full package documentation is here: https://xrsdkit.readthedocs.io

The package is hosted and developed here: https://github.com/scattering-central/xrsdkit

Example datasets and trained models are here: https://github.com/slaclab/xrsdkit_modeling

Stable versions are released on PyPI. Install the latest release by:

pip install xrsdkit