The identification of alpha-clustered doorway states in Ti-44,Ti-48,Ti-52 using machine learning

A novel experimental analysis method has been developed, making use of the continuous wavelet transform and machine learning to rapidly identify alpha-clustering in nuclei in regions of high nuclear state density. This technique was applied to resonant scattering measurements of the He-4(Ca-40,Ca-44,Ca-48,alpha) resonant reactions, allowing the alpha-cluster structure of Ti-44,Ti-48,Ti-52 to be investigated. Fragmented alpha-clustering was identified in Ti-44 and Ti-52, while the results for Ti-48 were less conclusive, but suggest no such clustering.