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

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