This repository presents a combinatorial optimization approach, leveraging Simulated Annealing (SA), to search for new geometrically consistent brane tilings [2].
consistency_conditions_binary.sage
: Boolean verification of geometric consistency conditions as in [1]consistency_conditions_scores.sage
: Implement the consistency scoring routings as described in Appendix A of [2]SA_demo.ipynb
: Demo file with the SA search for new theoriesPermToQuiver.ipynb
: Code for converting permutation pairs into quiver gauge theoriesrequirements.txt
: Libraries required. Runpip install -r ./requirements.txt
@misc{he2024metaheuristicgenerationbranetilings,
title={Metaheuristic Generation of Brane Tilings},
author={Yang-Hui He and Vishnu Jejjala and Tom\'as S. R. Silva},
year={2024},
eprint={2412.19313},
archivePrefix={arXiv},
primaryClass={hep-th},
url={https://arxiv.org/abs/2412.19313},
}
[1] Hanany, A., Jejjala, V., Ramgoolam, S., and Seong, R.-K., “Consistency and derangements in brane tilings”, Journal of Physics A Mathematical General, vol. 49, no. 35, Art. no. 355401, IOP, 2016. doi:10.1088/1751-8113/49/35/355401.
[2] He, Y.-H., Jejjala, V., and Silva, T. S. R., “Metaheuristic Generation of Brane Tilings”, arXiv e-prints, Art. no. arXiv:2412.19313, 2024.