Estimation of the S 34 (0) S-factor for 3 He(α, γ) 7 Be reaction by using distorted wave born approximation and artificial neural network

Abstract The astrophysical S-factor and total cross-section of 3 He α , γ 7 Be radiative capture reaction are analyzed using the first-order distorted wave born approximation and artificial neural network. To make estimations of S 34 (0) at energies going to zero, we have used an artificial neural n...

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Bibliographic Details
Published inPhysica scripta Vol. 98; no. 10; p. 105005
Main Authors Kocak, G, Pasayigit, E, Akkoyun, S
Format Journal Article
LanguageEnglish
Published 01.10.2023
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Summary:Abstract The astrophysical S-factor and total cross-section of 3 He α , γ 7 Be radiative capture reaction are analyzed using the first-order distorted wave born approximation and artificial neural network. To make estimations of S 34 (0) at energies going to zero, we have used an artificial neural network model as a new approximation in this area. First, we obtain distorted wave born approximation results using the Gaussian and Woods-Saxon potentials. After, we evaluate artificial neural network approximation to analyze reaction observables of the 3 He α , γ 7 Be system. Our results show that artificial neural network model is a powerful candidate as an extrapolation model for astrophysical energies for estimating of the S-factor observable.
ISSN:0031-8949
1402-4896
DOI:10.1088/1402-4896/acf0fd