Simulate realistic ARPES spectra with experimental artifacts for analysis and machine-learning applications.
Project description
aurelia
Simulate realistic ARPES spectra with experimental artifacts for analysis and machine-learning applications.
Developed by MengXing Na and Matteo Michiardi.
Features
- Generate randomized tight-binding band structures — or import your own
- Compute spectral functions, including Fermi-liquid and electron-boson kink-like self-energies
- Add experimental effects: offset angles, rotations, flake domains, background, and detector sensitivities
- Simulate ARPES spectra statistically across many electron events
Installation
You can install aurelia directly from PyPI:
pip install aurelia
Usage
See the examples folder for sample scripts to get started.
Full documentation is available on the Wiki.
License
This project is licensed under the MIT License — see the LICENSE file for details.
Contact
For questions not covered in the documentation, or for collaborations, feel free to reach out: mengxing.na@gmail.com
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