Excitation Functions for the Proton Irradiation on 45ScTarget

In cases where experimental studies cannot be carried out and there is no experimental data with it, studies carried out with theoretical models shed light on the researchers' knowledge of different data. The most important of this data is the measurable or calculatable influence cross-section value, which is defined as the probability of a reaction occurrence. Examining the possible effects of different models in the calculation of the effect section is important for the correct calculation of this value. The most important data, the cross section of influence, has taken its place in the radioisotope world as well as in many areas of nuclear physics. With developing technology and advancing science, radioisotopes have widespread and diversified uses. Most commonly, radioisotopes are used in medical diagnosis and treatment applications. Among the many radioisotopes used for this purpose, 191-199Au radioisotopes are also important in terms of both their benefits and characteristics in medical applications. In this respect, the study aimed to investigate the effects of different nuclear level density models in production impact cross-section calculations of 191-199Au radioisotopes with deuteron reference. Theoretical cross sections using the TALYS code have been simulated for all isotopes. The results of the calculations obtained were compared with each other and with the experimental data in the literature and it was aimed to determine the most compatible level density models according to the reaction situations examined.

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Excitation Functions for the Proton Irradiation on 45ScTarget

Cited by 3 publications

References 23 publications

Production of a broad palette of positron emitting radioisotopes using a low-energy cyclotron: Towards a new success story in cancer imaging?

Production of a broad palette of positron emitting radioisotopes using a low-energy cyclotron: Towards a new success story in cancer imaging?

Computation of medical radioisotopes cross section using level density models

Investigation of the Cross Sections and Effect of Level Density Models for Platinum Element

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