论文标题
使用自适应差异进化算法从水泵注入多层同心球体中子光谱仪中展开中子光谱
Unfolding the Neutron Spectra from a Water-Pumping-Injection Multi-layered Concentric Sphere Neutron Spectrometer Using a Self-Adaptive Differential Evolution Algorithm
论文作者
论文摘要
在本文中建立了一个自适应差异进化中子光谱展开算法（SDENUA），以展现从水泵注入多层同心球形中子光谱仪（WMN）获得的中子光谱。具体而言，估计中子通量界限以加速算法收敛，最佳解决方案和具有相对不确定性的输入中子计数之间的最小误差限制为10-6，以避免无用的计算。此外，交叉概率和缩放因子是自适应控制的。 Fluka Monte Carlo用于模拟（1）A频谱CF-252和（2）其频谱的读取，并在（2）其频谱中进行调节后，（3）用于BNCT的频谱，（4）A反应器频谱，以及使用Sdenua折叠的测量中子计数。在SDENUA中考虑了测得的中子计数和响应矩阵的不确定性，该矩阵不需要复杂的参数调整和先验的默认频谱。结果表明，SDENUA的解决方案与IAEA光谱更一致，而不是在UMG 3.1中的最大和砾石，而SDENUA计算出的最终结果的误差低于12％。已建立的Sdenua具有潜在的应用程序，可从WMN中展开光谱。
A self-adaptive differential evolution neutron spectrum unfolding algorithm (SDENUA) was established in this paper to unfold the neutron spectra obtained from a Water-pumping-injection Multi-layered concentric sphere Neutron Spectrometer (WMNS). Specifically, the neutron fluence bounds were estimated to accelerate the algorithm convergence, the minimum error between the optimal solution and the input neutron counts with relative uncertainties was limited to 10-6 to avoid useless calculation. Furthermore, the crossover probability and scaling factor were controlled self-adaptively. FLUKA Monte Carlo was used to simulate the readings of the WMNS under (1) a spectrum of Cf-252 and (2) its spectrum after being moderated, (3) a spectrum used for BNCT, and (4) a reactor spectrum, and the measured neutron counts unfolded by using the SDENUA. The uncertainties of the measured neutron count and the response matrix are considered in the SDENUA, which does not require complex parameter tuning and the priori default spectrum. Results indicate that the solutions of the SDENUA are more in agreement with the IAEA spectra than that of the MAXED and GRAVEL in UMG 3.1, and the errors of the final results calculated by SDENUA are under 12%. The established SDENUA has potential applications for unfolding spectra from the WMNS.
