Estimation of the S34(0) S-factor for 3He(α, γ)7Be reaction by using distorted wave born approximation and artificial neural network

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KOÇAK G., Pasayigit E., AKKOYUN S.

Physica Scripta, cilt.98, sa.10, 2023 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 98 Sayı: 10
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1088/1402-4896/acf0fd
  • Dergi Adı: Physica Scripta
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Chemical Abstracts Core, Compendex, INSPEC, zbMATH
  • Anahtar Kelimeler: artifical neural network, fusion reactions, radiative capture reactions
  • Sivas Cumhuriyet Üniversitesi Adresli: Evet

Özet

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 S34(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.