Datasets:

Modalities:
Image
Size:
< 1K
DOI:
Libraries:
Datasets
License:
PyXplore / _sources /intro.md
caobin's picture
Upload 224 files
56c956f verified

Welcome to PyXplore

PyXplore is a modern, extensible toolkit designed for the high-throughput analysis and modeling of X-ray based data, including XRD (X-ray Diffraction), XPS (X-ray Photoelectron Spectroscopy), and EXAFS (Extended X-ray Absorption Fine Structure).

This project empowers materials scientists and researchers to extract structural information, fit spectral profiles, simulate atomic arrangements, and visualize results β€” all in a reproducible, notebook-driven environment.


πŸ” Key Features

  • βœ… Peak Decomposition & Profile Fitting: Based on WPEM (Whole Pattern fitting of powder X-ray diffraction by Expectation Maximum)
  • πŸ”¬ X-ray Spectrum Support: XRD, XPS, and EXAFS workflows integrated
  • πŸ§ͺ Amorphous & Crystalline Materials: Suitable for mixed-phase materials and complex disordered states
  • 🧬 Atomic Structure Simulation: Support for solid solution models and local distortion
  • πŸ“Š Interactive Visualization: Publication-quality plots, contour maps, and data exports
  • πŸ“š Notebook-Based Tutorials: Learn by doing with built-in step-by-step guides

πŸ“‚ Documentation Overview

This documentation is organized as a Book, with the following structure:

  • parameter.md: Overview of configuration options and input parameters
  • ResultsFiles.md: Output file types and their interpretations
  • Tutorials/: A complete collection of interactive notebooks for each use case
  • references.bib: Citation file for relevant academic work

πŸš€ Get Started

To begin, navigate to the Tutorials section or explore the parameter configuration options.

For any issues or contributions, feel free to open a GitHub issue or submit a pull request.

Happy exploring with PyXplore!