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

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 (2021) The identification of α-clustered doorway states in 44,48,52Ti using machine learning. European Physical Journal A: Hadrons and Nuclei, 57 (3). ISSN 1434-6001

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Abstract

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

Item Type:	Article
Uncontrolled Keywords:	machine learning; alpha-clustering
Subjects:	NATURAL SCIENCES NATURAL SCIENCES > Physics NATURAL SCIENCES > Physics > Physics of Elementary Particles and Fields NATURAL SCIENCES > Physics > Nuclear Physics
Divisions:	Division of Experimental Physics
Projects:	Project title Project leader Project code Project type The strong interaction at the frontier of knowledge: fundamental research and applications-STRONG-2020 Milorad Korolija; Damir Bosnar; Krešimir Kumerički; Kornelija Passek-Kumerički 824093 EK European Nuclear Science and Applications Research-ENSAR Milko Jakšić 262010 EK
Depositing User:	Virna Brumnić
Date Deposited:	25 Mar 2026 12:29
URI:	http://fulir.irb.hr/id/eprint/11475
DOI:	10.1140/epja/s10050-021-00357-3

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