Python package for ARPES data analysis and visualization.
Project description
ERLabPy
A library that provides a set of tools and utilities to handle, manipulate, and visualize data from condensed matter physics experiments, with a focus on angle-resolved photoemission spectroscopy (ARPES).
ERLabPy is built on top of the popular scientific computing libraries numpy,
scipy, and xarray, and is designed to be easy to use and integrate with
existing scientific Python workflows. It is also designed to be extensible,
allowing users to easily add custom functionality and analysis tools.
ERLabPy is developed and maintained by the electronic structure research laboratory at Korea Advanced Institute of Science and Technology (KAIST).
Features
- Data Loading: A flexible and extensible data loading system is included, capable of handling various data formats.
- Data Manipulation: A set of tools for manipulating and transforming data, including interpolation, masking and symmetrization is provided.
- Plotting: ERLabPy provides many different plotting functions for visualizing image data, including 2D and 3D plots. Publication-quality plots can be generated with minimal effort.
- Fitting: Several functions and models are implemented for fitting various types of data, including broadened Fermi-Dirac distributions, momentum distribution curves (MDCs), and energy distribution curves (EDCs).
- Interactive Data Visualization: ERLabPy includes many interactive plotting routines that resemble panels in Igor Pro that are very responsive and easy to use. See screenshots below.
- Active Development: ERLabPy is actively developed and maintained, with new features and improvements being added regularly.
Screenshots
Most interactive windows support dark mode. Viewing this page from a supported browser with dark mode enabled will show the dark mode screenshots.
Documentation
The full documentation for ERLabPy is available on Read the Docs.
Getting Started
To get started with ERLab, follow the installation instructions.
Contributing
Contributions are welcome! Please open an issue or pull request if you have any suggestions or improvements. For more information on contributing, see the development guide.
License
This project is licensed under the terms of the GPL-3.0 License.
Contact
If you have any questions, issues, or suggestions, please open an issue here. We appreciate your feedback!
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