Python package for ARPES data analysis and visualization.
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Project description
ERLabPy
erlab provides tools to handle, manipulate, and visualize data from angle-resolved photoemission spectroscopy (ARPES) experiments.
Key elements are seamlessly integrated with popular scientific Python workflows. A fast native graphical user interface is provided for data exploration and manipulation, allowing users to get started quickly without needing to write code. The library is designed to be flexible and extensible, making it suitable for a wide range of data analysis tasks.
Features
- Data Loading: Flexible system for various data formats.
- Data Manipulation: Tools for interpolation, masking, symmetrization, and more.
- Plotting: Functions for 2D and 3D publication-quality plots.
- Fitting: Functions for curve fitting, including Fermi-Dirac distributions, MDCs, EDCs, and more.
- Interactive Visualization: Responsive plotting routines similar to Igor Pro.
Getting Started
Start with the Getting Started guide.
Documentation
Full documentation is available on Read the Docs.
Gallery
Interactive windows support dark mode.
Contributing
We welcome contributions. Report issues to the issue tracker. For questions, visit the Discussions page. To contribute, fork the repository and submit a pull request. See our Contributing page for more information.
License
Licensed under the GPL-3.0 License.
Cite this software
If you use erlab in your research, citation is appreciated! Citation information for each package version is available on Zenodo.
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