The identification of αα-clustered doorway states in ${}^{44,48,52}$Ti using machine learning

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