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dc.contributor.authorSerkan Akkoyun
dc.date.accessioned2024-02-28T13:52:36Z
dc.date.available2024-02-28T13:52:36Z
dc.date.issued2023/9/6tr
dc.identifier.urihttps://hdl.handle.net/20.500.12418/14435
dc.description.abstractThe astrophysical S-factor and total cross-section of 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 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.tr
dc.rightsinfo:eu-repo/semantics/openAccesstr
dc.titleEstimation of the S34 (0) S-factor for 3He (α, γ) 7Be reaction by using distorted wave born approximation and artificial neural networktr
dc.typearticletr
dc.contributor.departmentFen Fakültesitr
dc.relation.publicationcategoryUluslararası Hakemli Dergide Makale - Kurum Öğretim Elemanıtr


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