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INVESTIGATION OF GEV PROTON-INDUCED SPALLATION REACTIONS

机译:GEV质子诱导的崩解反应的研究

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摘要

A reliable modeling of GeV proton-induced spallation reactions is indispensable for the design of the spallation module and the target station of future accelerator driven hybrid reactors (ADS) or spallation neutron sources (ESS), in particular, to provide precise predictions for the neutron production, the radiation damage of materials (window), and the production of radioactivity (~3H, ~7Be etc.) in the target medium. Detailed experimental nuclear data are needed for sensitive validations and improvements of the models, whose predictive power is strongly dependent on the correct physical description of the three main stages of a spallation reaction: (ⅰ) the Intra-Nuclear-Cascade (INC) with the fast heating of the target nucleus, (ⅱ) the de-excitation due to pre-equilibrium emission including the possibility of multi-fragmentation, and (ⅲ) the statistical decay of thermally excited nuclei by evaporation of light particles and fission in the case of heavy nuclei. Key experimental data for this endeavor are absolute production cross sections and energy spectra for neutrons and light charged-particles (LCPs), emission of composite particles prior and post to the attainment of an equilibrated system, distribution of excitation energies deposited in the nuclei after the INC, and fission probabilities. Systematic measurements of such data are furthermore needed over large ranges of target nuclei and incident proton energies. Such data has been measured with the NESSI detector. An overview of new and previous results will be given.
机译:GeV质子诱发的散裂反应的可靠模型对于散裂模块的设计以及未来加速器驱动的混合反应堆(ADS)或散裂中子源(ESS)的目标站的设计是必不可少的,尤其是要为中子提供精确的预测产生,材料(窗口)的辐射损伤以及目标介质中的放射性(〜3H,〜7Be等)产生。模型的灵敏验证和改进需要详细的实验核数据,其预测能力在很大程度上取决于剥落反应三个主要阶段的正确物理描述:(ⅰ)核级联反应(INC)与核级联反应快速加热目标原子核,(ⅱ)因预平衡发射而引起的去激励,包括可能发生多片段化,以及(ⅲ)由于光粒子的蒸发和裂变而引起的热激发核的统计衰变(对于重核。这项工作的关键实验数据是中子和带电粒子(LCP)的绝对生产截面和能谱,达到平衡系统之前和之后的复合粒子发射,在激发之后沉积在原子核中的激发能分布INC和裂变概率。此外,还需要在较大范围的目标原子核和入射质子能量上进行此类数据的系统测量。此类数据已使用NESSI检测器进行了测量。将给出新的和以前的结果的概述。

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