Regular Article – Experimental Physics
The identification of -clustered doorway states in Ti using machine learning
School of Physics and Astronomy, University of Birmingham, B15 2TT, Birmingham, UK
2 Department of Engineering and Mathematics, Sheffield Hallam University, City Campus, Howard Street, S1 1WB, Sheffield, UK
3 Institut Ruđer Bošković, Bijenic̆ka cesta 54, 10000, Zagreb, Croatia
4 Laboratoire de Physique Corpusculaire de Caen, 6 bd Maréchal Juin, 14050, Caen Cedex, France
5 ‘Horia Hulubei’ National Institute of Physics and Nuclear Engineering (IFIN-HH), 077125, Bucharest, Magurele, Romania
6 Universidade de Santiago de Compostela, Praza do Obradoiro, 15782, Santiago de Compostela, Spain
7 Grand Accélérateur National d’Ions Lourds, BP 55027-14076, Bd Henri Becquerel, Caen Cedex 05, France
Accepted: 12 January 2021
Published online: 29 March 2021
A novel experimental analysis method has been developed, making use of the continuous wavelet transform and machine learning to rapidly identify -clustering in nuclei in regions of high nuclear state density. This technique was applied to resonant scattering measurements of the He(Ca,) resonant reactions, allowing the -cluster structure of Ti to be investigated. Fragmented -clustering was identified in Ti and Ti, while the results for Ti were less conclusive, but suggest no such clustering.
© The Author(s) 2021
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