https://doi.org/10.1140/epja/s10050-021-00357-3
Regular Article – Experimental Physics
The identification of 
-clustered doorway states in 
Ti using machine learning
1
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
Received:
12
August
2020
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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