dc.contributor.author | Serkan Akkoyun | |
dc.date.accessioned | 2024-02-28T13:52:36Z | |
dc.date.available | 2024-02-28T13:52:36Z | |
dc.date.issued | 2023/9/6 | tr |
dc.identifier.uri | https://hdl.handle.net/20.500.12418/14435 | |
dc.description.abstract | The 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.rights | info:eu-repo/semantics/openAccess | tr |
dc.title | Estimation of the S34 (0) S-factor for 3He (α, γ) 7Be reaction by using distorted wave born approximation and artificial neural network | tr |
dc.type | article | tr |
dc.contributor.department | Fen Fakültesi | tr |
dc.relation.publicationcategory | Uluslararası Hakemli Dergide Makale - Kurum Öğretim Elemanı | tr |