Development of a reaction ejectile sampling algorithm to recover kinematic correlations from inclusive cross-section data in Monte-Carlo particle transport simulations
Development of a reaction ejectile sampling algorithm to recover kinematic correlations from inclusive cross-section data in Monte-Carlo particle transport simulations
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DOI：
10.1016/j.nima.2014.06.088
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发表时间：
2014-11-01
影响因子：
1.4
通讯作者：
Niita, K.
中科院分区：
文献类型：
--
作者：
Ogawa, T.;Sato, T.;Niita, K.
开发了一种新的唯象方法，利用全截面数据，在发射多个出射粒子的反应中，在动量和能量守恒的情况下重现次级粒子能量和角度的随机分布。在基于全截面的蒙特卡罗粒子输运模拟中，每个反应的能量和动量总和通常是不守恒的，因为在全截面数据中粒子相关性丢失了。然而，通过随机生成大量符合守恒定律的次级粒子组态，并考虑其可能性进行抽样，成功地重现了能量和角度分布。将这种开发的方法应用于各种靶的(n,xn)反应（x≥2）以及其他反应，如(n,np)和(n,2nα)的模拟。将计算得到的次级粒子能量和角度分布与原始全截面数据的相应分布进行比较，以验证该算法。计算得到的分布相当好地重现了原始截面数据的趋势，特别是在重靶的情况下。开发的算法有助于提高粒子输运模拟中逐事件分析的准确性。© 2014 Elsevier B.V. 保留所有权利
A new phenomenological approach is developed to reproduce the stochastic distributions of secondary particle energy and angle with conservation of momentum and energy in reactions ejecting more than one ejectiles using inclusive cross-section data. The summation of energy and momentum in each reaction is generally not conserved in Monte-Carlo particle transport simulation based on the inclusive cross-sections because the particle correlations are lost in the inclusive cross-section data However, the energy and angular distributions are successfully reproduced by randomly generating numerous sets of secondary particle configurations which are compliant with the conservation laws, and sampling one set considering their likelihood. This developed approach was applied to simulation of (n,xn) reactions (x >= 2) of various targets and to other reactions such as (n,np) and (n,2n alpha). The calculated secondary particle energy and angular distributions were compared with those of the original inclusive cross-section data to validate the algorithm. The calculated distributions reproduce the trend of original cross-section data considerably well especially in case of heavy targets. The developed algorithm is beneficial to improve the accuracy of event-by-event analysis in particle transport simulation. (C) 2014 Elsevier B.V. All rights reserved,