The nuclear reaction induced by photon is one of the important tools in the investigation of atomic nuclei. In the reaction, a target material is bombarded by photons with high-energies in the range of gamma-ray energy range. In the bombarding process, the photons can statistically be absorbed by a nucleus in the target material. Then the excited nucleus can decay by emitting proton, neutron, alpha and light particles or photons. By performing photonuclear reaction on the target, it can be easily investigated low-lying excited states of the nuclei. In the present work, (γ, n) photonuclear reaction cross-sections on different calcium isotopes have been estimated by using artificial neural network method. The method is a mathematical model that mimics the brain functionality of the creatures. The correlation coefficient values of the method for both training and test phases being 0.99 indicate that the method is very suitable for this purpose.
Photonuclear reaction cross-section calcium artificial neural network
Sivas Cumhuiyet University Scientific Research Projects Coordination Unit
F-616
F-616
Birincil Dil | İngilizce |
---|---|
Konular | Metroloji,Uygulamalı ve Endüstriyel Fizik |
Bölüm | Araştırma Makalesi |
Yazarlar | |
Proje Numarası | F-616 |
Yayımlanma Tarihi | 1 Ekim 2020 |
Gönderilme Tarihi | 25 Şubat 2020 |
Kabul Tarihi | 24 Ağustos 2020 |
Yayımlandığı Sayı | Yıl 2020 Cilt: 24 Sayı: 5 |
Sakarya University Journal of Science (SAUJS)