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Multilinear analysis of the systematics of proton radioactivity
KTH, School of Engineering Sciences (SCI), Physics.
KTH, School of Engineering Sciences (SCI), Physics, Nuclear Physics.ORCID iD: 0000-0002-8239-372X
KTH, School of Engineering Sciences (SCI), Physics, Nuclear Physics.ORCID iD: 0000-0002-1406-5695
2023 (English)In: Physical Review C: Covering Nuclear Physics, ISSN 2469-9985, E-ISSN 2469-9993, Vol. 108, no 5, article id 054311Article in journal (Refereed) Published
Abstract [en]

It is shown that the proton formation probabilities, extracted from experimental decay half-lives, can be well reproduced by a simple multilinear formula with only three parameters. The parameters obtained by considering the standard root mean square deviation and the mini-max criteria are very similar to each other. In addition, we applied Bayesian analysis to study the uncertainties of the parameters and the model predictions. In this way we explain the systematics of proton decay half-lives. The multilinearity of the model also provides a way to classify the relative hindrance of different proton decays. All the recent experimental data agree very well with the model prediction. Our Bayesian analysis suggests that those new data do help constrain the uncertainty of the model parameters.

Place, publisher, year, edition, pages
American Physical Society (APS) , 2023. Vol. 108, no 5, article id 054311
National Category
Subatomic Physics
Identifiers
URN: urn:nbn:se:kth:diva-340966DOI: 10.1103/PhysRevC.108.054311ISI: 001110833900004Scopus ID: 2-s2.0-85178202954OAI: oai:DiVA.org:kth-340966DiVA, id: diva2:1820286
Note

QC 20231218

Available from: 2023-12-18 Created: 2023-12-18 Last updated: 2023-12-22Bibliographically approved

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Amaro, Mário B.Karlsson, DanielQi, Chong

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