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
1 maintainer
Metadata
1 maintainer
Release files for aurelia 0.1.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| aurelia-0.1.0.tar.gz | 25.0 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| aurelia-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 50.8 kB
Release files / aurelia-0.1.0.tar.gz
| Download URL | aurelia-0.1.0.tar.gz |
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| Size | 25.0 kB |
| Tags | Source |
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Release files / aurelia-0.1.0-py3-none-any.whl
| Download URL | aurelia-0.1.0-py3-none-any.whl |
|---|---|
| Size | 25.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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