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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Published in | Physica scripta Vol. 98; no. 10; p. 105005 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
01.10.2023
|
Online Access | Get full text |
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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. |
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ISSN: | 0031-8949 1402-4896 |
DOI: | 10.1088/1402-4896/acf0fd |