AI 中文总结
研究利用TALYS~2.0代码分析α粒子与银同位素反应，评估192种核反应模型参数组合，发现统计模型成分有通道依赖性敏感性，不同反应通道各模型成分重要性不同，可为选择评估TALYS模型成分提供指导。
AI 中文摘要
利用TALYS~2.0代码系统分析了α粒子与银同位素的反应，该反应会产生与医学相关的放射性核素$^{108m,109g,110m,110g,111g}$In。通过对192种核反应模型参数组合进行χ²最小化评估，以匹配现有实验数据。结果显示统计模型成分存在明显的通道依赖性敏感性。不同反应通道中，各模型成分的相对重要性差异显著。本研究TALYS计算与TENDL - 2023评估的差异源于未进行参数优化。研究表明没有单一参数组合能最佳描述所有反应，通道依赖性敏感性可为选择和评估TALYS模型成分提供指导，并推动未来纳入更多实验数据和模型不确定性量化的工作。
英文摘要
The $α$-induced reactions on silver isotopes leading to the production of the medically relevant radionuclides $^{108m,109g,110m,110g,111g}$In have been systematically analyzed using the TALYS~2.0 code. A total of 192 combinations of nuclear reaction model parameters, comprising level-density models (LDM), $α$-optical model potentials ($α$OMP), and pre-equilibrium (PE) models, were evaluated through $χ^2$ minimization against the available experimental data. The results reveal pronounced channel-dependent sensitivities of the statistical-model ingredients. The $^{107}$Ag($α$,3n)$^{108m}$In and $^{109}$Ag($α$,3n)$^{110g}$In reactions are primarily governed by the LDM. For the $^{107}$Ag($α$,2n)$^{109g}$In reaction, the sensitivities to the LDM and PE mechanism are comparable, indicating that both contribute nearly equally to reproducing the experimental data. In contrast, the $^{107}$Ag($α$,n)$^{110m}$In and $^{109}$Ag($α$,2n)$^{111g}$In reactions are dominated by the PE mechanism, while the $α$OMP plays a secondary role and the LDM has only a minor influence. These findings demonstrate that the relative importance of the statistical-model ingredients varies significantly among the investigated reaction channels. Differences between the present TALYS calculations and the TENDL-2023 evaluation are attributed to the absence of parameter optimization in the present study. Overall, the analysis shows that no single parameter combination provides the best description of all investigated reactions. The observed channel-dependent sensitivities provide useful guidance for selecting and evaluating TALYS model ingredients for the studied reaction channels and motivate future work incorporating additional experimental data and model-uncertainty quantification.
