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

• Published in: The European physical journal. A, Hadrons and nuclei Vol. 57; no. 3
• Main Authors: Bailey, Sam, Kokalova, Tzany, Freer, Martin, Wheldon, Carl, Smith, Robin, Walshe, Joseph, Soić, Neven, Prepolec, Lovro, Tokić, Vedrana, Marqués, Francisco Miguel, Achouri, Lynda, Delaunay, Franck, Parlog, Marian, Deshayes, Quentin, Fernández-Dominguez, Beatriz, Jacquot, Bertrand
• Format: Journal Article
• Language: English
• Published: EDP Sciences ; Springer [1998-....] 01-03-2021
• Subjects: Computer Science; Nuclear Experiment; Physics
• ISSN: 1434-6001; 1434-601X
• DOI: 10.1140/epja/s10050-021-00357-3

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 $^\text {4}$He($^\text {40,44,48}$Ca,$\alpha $) resonant reactions, allowing the $\alpha $-cluster structure of $^\text {44,48,52}$Ti to be investigated. Fragmented $\alpha $-clustering was identified in $^\text {44}$Ti and $^\text {52}$Ti, while the results for $^\text {48}$Ti were less conclusive, but suggest no such clustering.