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

Tools

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 and JACQUOT, Bertrand (2021). The identification of α -clustered doorway states in 44, 48, 52 Ti using machine learning. The European Physical Journal A, 57 (3). [Article]

[+][-]

Documents

28460:583134

[+][-]

28460:583134

[thumbnail of 10050_2021_Article_357.pdf]

Preview

PDF
10050_2021_Article_357.pdf - Published Version
Available under License Creative Commons Attribution.

Download (1MB) | Preview

Abstract

Abstract: 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.

More Information

Open Access URL:

https://link.springer.com/article/10.1140/epja/s10...

Open Access Version:

Published version

Additional Information:

** From Springer Nature via Jisc Publications Router ** Licence for this article: http://creativecommons.org/licenses/by/4.0/ **Journal IDs: pissn 1434-6001; eissn 1434-601X **Article IDs: publisher-id: s10050-021-00357-3; manuscript: 357 **History: online 29-03-2021; published 29-03-2021; published 03-2021; registration 18-01-2021; accepted 12-01-2021; submitted 12-08-2020

Uncontrolled Keywords:

Regular Article – Experimental Physics, Light Clusters in Nuclei and Nuclear Matter: Nuclear Structure and Decay, Heavy Ion Collisions, and Astrophysics

Identifiers

Identification Number:

10.1140/epja/s10050-021-00357-3

ORCID for Robin Smith: