saujs Sakarya University Journal of Science 2147-835X Sakarya University 10.16984/saufenbilder.694382 Metrology, Applied and Industrial Physics Metroloji,Uygulamalı ve Endüstriyel Fizik Estimations of Cross-Sections for Photonuclear Reaction on Calcium Isotopes by Artificial Neural Networks https://orcid.org/0000-0002-8996-3385 Akkoyun Serkan Cumhuriyet University Kaya Hüseyin SİVAS CUMHURİYET ÜNİVERSİTESİ 10 01 2020 24 5 1115 1120 02 25 2020 08 24 2020 Copyright © 1997, Sakarya University Journal of Science 1997 Sakarya University Journal of Science

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.

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