Cite this work as,
L. Wang, S. Shi, and K. Zhou, Reconstructing Spectral Functions via Automatic Differentiation, ArXiv:2111.14760 [Hep-Lat, Physics:Hep-Ph] (2021).
The code requires Python >= 3.8 and PyTorch >= 1.2. You can configure on CPU machine and accelerate with a recent Nvidia GPU card.
Run juputer notebook to generate mock data. Using Index and noise to specify propagator data.
python NNspectrum1202.py --Index 4 --noise 5- Lingxiao Wang - Construct codes and write the preprint paper - Homepage
- Shuzhe Shi - Check results and provide physics guidance
- Kai Zhou - Lead the project and complete the article.
This project is licensed under the MIT License - see the LICENSE file for details