M.P. Carante, F. Barbaro, L. Canton, A. Colombi, A. Fontana
We have introduced a tool to describe in a simple and efficient way the outcomes of known nuclear reaction codes. It differs from the customary use where typically a specific single model is selected and the remaining disregarded. The use of simple statistical procedures allows to introduce a more general theoretical evaluation with quantitative uncertainty, constructed on the variability of the built-in theoretical models. We apply the technique to study the production of 47Sc (a radio-nuclide with potential theranostic applications in nuclear medicine) with a proton beam impinging on a thick natural Vanadium target. We find an energy range with significant production of 47Sc, and a minimum co-production of 46Sc, the radioactive contaminant that has to be avoided as much as possible because of its much longer half life than 47Sc (83.79 d vs 3.3492 d).
Comments: 2 pages, 2 figures. To be published in the INFN-LNL Annual Report 2020
И еще одн материал тех же авторов:
Modeling Nuclear Reactions for PET/MRI MultiModal Imaging: the innovative use of 52gMn: https://arxiv.org/abs/2006.12168
A. Colombi, F. Barbaro, L. Canton, M.P. Carante, A. Fontana
MultiModal Imaging is an innovative technique that consists in the combination of diagnostic exams based on different physical processes, to obtain a unique image with more detailed clinical information. The possibility of a simultaneous use of PET and MRI could be achieved by using a particular radioisotope: 52gMn. The main route to produce this isotope is the reaction 52Cr(p,n)52gMn which is theoretically investigated in this study by means of three nuclear reaction codes. An analysis of the cross sections and a computation of the production rates and time evolution of the produced radioisotopes are performed, to identify the optimal production parameters. The procedure described for this reaction has a general validity and is applied also to other reactions, such as 52Cr(d,2n)52gMn and natV(alpha,x)52gMn.
Comments: 2 pages, to be published in the 2020 Annual Report (LNL-INFN)