Mid-weight α-conjugate nuclei are predicted to possess exotic toroid-like resonances with high angular momenta. The search for these states in 28Si∗ is the main point of two published experimental investigations of the peripheral 28Si + 12C reaction by Cao and collaborators and by Hannaman and collaborators. In this work, we develop a novel Artificial Intelligence (AI)-based machine learning method utilizing the Gaussian Mixture Model (GMM) to analyze available experimental and theoretical data. We additionally study the reaction with the Hybrid α-Cluster (HαC) model. In all the examined data our results suggest the presence of underlying structure which is close to that predicted for toroidal states.
@article{arxiv.2505.23920,
title = {AI-Assisted analysis of $^{28}$Si$^*$ $\rightarrow$ 7$\alpha$ break-up data},
author = {Theodoros Depastas and Aldo Bonasera and Joe Natowitz},
journal= {arXiv preprint arXiv:2505.23920},
year = {2025}
}