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

Sam Bailey, Tzany Kokalova, Martin Freer, Carl Wheldon, Robin Smith, Joseph Walshe, Neven Soić, Lovro Prepolec, Vedrana Tokić, Francisco Miguel Marqués, Lynda Achouri, Franck Delaunay, Marian Parlog, Quentin Deshayes, Beatriz Fernández-Dominguez, Bertrand Jacquot

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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 α-clustering in nuclei in regions of high nuclear state density. This technique was applied to resonant scattering measurements of the 4He(40,44,48Ca,α) resonant reactions, allowing the α-cluster structure of 44,48,52Ti to be investigated. Fragmented α-clustering was identified in 44Ti and 52Ti, while the results for 48Ti were less conclusive, but suggest no such clustering.
Original languageEnglish
Article number108
JournalThe European Physical Journal A
Issue number3
Publication statusPublished - 29 Mar 2021

Bibliographical note

Funding Information:
The authors would like to thank the STFC (Grant No. ST/J000140/1) and gratefully acknowledge that the research leading to these results has received funding from the European Union’s Seventh Framework Programme under Grant Agreement No. 262010 (ENSAR). The GANIL facility is thanked for the delivery of the beams and the beamline preparation. ECT* Trento has supported this work and this infrastructure is part of a project that has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 824093.

Publisher Copyright:
© 2021, The Author(s).


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