Obtaining a new empirical (n,2n) cross section formula using Flerov and Talyzin non-elastic cross sections at 14–15 MeV


Tel E., Bülbül A., SARPÜN İ. H., Doğan A.

Applied Radiation and Isotopes, cilt.191, 2023 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 191
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1016/j.apradiso.2022.110458
  • Dergi Adı: Applied Radiation and Isotopes
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aquatic Science & Fisheries Abstracts (ASFA), Chemical Abstracts Core, Chimica, Compendex, EMBASE, Food Science & Technology Abstracts, INSPEC, MEDLINE, Pollution Abstracts
  • Anahtar Kelimeler: (n,2n) reaction, Cross-section, Empirical formula, Flerov and talyzin, Non-elastic
  • Akdeniz Üniversitesi Adresli: Evet

Özet

© 2022 Elsevier LtdThe knowledge of (n,2n) cross sections is required in shielding and breeding calculations. It's also important, in nuclear reactor applications, for neutron dosimetry research. In nuclear reaction mechanism, (n,2n) reaction channel is the dominant reaction for medium and heavy mass nuclei at 14 MeV energy range. The empirical and semi-empirical (n,2n) reaction cross sections have been investigated by many authors, but theoretical calculations have not been adequate because of the character of the nuclear structure is not exactly known. In this work, a new empirical formula has been proposed to calculate the (n,2n) reaction cross sections at 14–15 MeV neutron incident energy. In the calculations different fitting method have been used to obtain cross-section formula for target nuclei in the range 14 ≤ A ≤ 241 mass number. The (n,2n) experimental cross sections have been taken from EXFOR nuclear data library. In this new formula, the Flerov and Talyzin expression for the inelastic cross section σne was used to fit the experimental (n,2n) cross sections. It has been observed that the obtained formulas give quite coherent results with the experimental data.