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Estimations of level density parameters by using artificial neural network for phenomenological level density models
(Applied Radiation and Isotopes, 2021)
The main aim of this study is to develop accurate artificial neural network (ANN) algorithms to estimate level density parameters. An efficient Bayesian-based algorithm is presented for classification algorithms. Unknown ...
Photo-neutron cross-section calculations of 54,56Fe, 90,91,92,94Zr, 93Nb and 107Ag isotopes with newly obtained giant dipole resonance parameters
(Applied Radiation and Isotopes, 2020)
The knowledge of the interaction of photons with matter is of vital importance to investigate fundamental nu- clear physics problems. Giant dipole resonance (GDR) mechanism is dominant up to 30 MeV at photo-absorption ...
Estimations of giant dipole resonance parameters using artificial neural network
(Applied Radiation and Isotopes, 2021)
In this study; Giant Dipole Resonance (GDR) parameters of the spherical nucleus have been estimated by using artificial neural network (ANN) algorithms. The ANN training has been carried out with the Levenberg–Marquardt ...
Effects of deuteron optical models on the cross-section calculations of deuteron induced reactions on natural germanium
(Applied Radiation and Isotopes, 2021)
A common feature of scientific studies is that when experimental observation data are not available, theoretical calculations are used to obtain information about the subject under investigation. In this context, many ...
Investigation of the effects of different composite materials on neutron contamination caused by medical LINAC
(Kerntechnik, 2020)
In a medical linear accelerator, the primary and secondary collimators are generally made of high atomic weight metals. The energy of the x-rays generated by accelerated electrons exceeds the bonding energies of high atomic ...
Level density model effects on the production cross-section calculations of some medical isotopes via (α, xn) reactions where x = 1–3
(Modern Physics Letters A, 2020)
Level density models have an undeniable importance for a better perception on the na- ture of nuclear reactions, which influences our life via various ways. Many novel and advanced medical application use radioisotopes, ...
Estimation of (n,p) reaction cross sections at 14.5 ∓ 0.5 MeV neutron energy by using artificial neural network
(Applied Radiation and Isotopes, 2021)
The aim of this study is to develop an accurate artificial neural network algorithm for the cross-section of (n,p) reactions at 14.5 ∓0.5 MeV neutron energy which is important to developing materials for fusion reactor ...
Production cross-section calculations of 111In via proton and alpha-induced nuclear reactions
(Modern Physics Letters A, 2021)
111In , a known gamma emitter, is used for many medical purposes such as imaging of myocardial metastases. It can be produced by using different nuclear reactions. In this study, the reactions of 109Ag(𝛼,2n)111In, ...
