Department of Physics, Division of Science and Technology, University of Education, College Road Township, Lahore, Pakistan.
Department of Physics, Division of Science and Technology, University of Education, College Road Township, Lahore, Pakistan.
Appl Radiat Isot. 2022 Oct;188:110379. doi: 10.1016/j.apradiso.2022.110379. Epub 2022 Jul 21.
Evaluation of the Cu(α,n)Ga, Cu(α,2n) Ga and Cu(α,n)Ga reactions was done to study the production of medical radionuclides Ga, Ga and Ga respectively. Cu(α,2n)Ga and Cu(α,3n)Ga reactions were also evaluated for the estimation of radioisotopic impurities. Cross section data of each reaction were compiled and normalized to the standard values of decay data and monitor reaction. To check the consistency of the literature data, three nuclear model calculations were performed, using nuclear model codes; TAYLS 1.9, ALICE-IPPE, and EMPIRE 3.2. A well-developed evaluation methodology based on the normalized experimental data and nuclear model calculations was used to generate the statistically fitted cross sections. From the fitted cross sections, thick target yields for each reaction were calculated for the estimation of radioisotopic impurities. Finally, a suitable energy region for the production of Ga, Ga and Ga was suggested with a minimum level of radioisotopic impurities.
评估了 Cu(α,n)Ga、Cu(α,2n)Ga 和 Cu(α,n)Ga 反应，以分别研究医用放射性核素 Ga、Ga 和 Ga 的生成。还评估了 Cu(α,2n)Ga 和 Cu(α,3n)Ga 反应，以估算放射性同位素杂质。编译了每个反应的截面数据，并归一化为衰变数据和监测反应的标准值。为了检查文献数据的一致性，使用核模型代码 TAYLS 1.9、ALICE-IPPE 和 EMPIRE 3.2 进行了三次核模型计算。使用基于归一化实验数据和核模型计算的完善评估方法生成了统计拟合的截面。从拟合的截面中，计算了每个反应的厚靶产额，以估算放射性同位素杂质。最后，建议了一个合适的能量区域，用于生成 Ga、Ga 和 Ga，同时最大限度地减少放射性同位素杂质。
