INVESTIGATION OF APPROPRIATE LADDER NUMBER ON PROBABILITY TABLE GENERATION

INVESTIGATION OF APPROPRIATE LADDER NUMBER ON PROBABILITY TABLE GENERATION
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概率表生成中合适梯数的探讨

DOI:
10.1051/epjconf/202124709002
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发表时间:
2021
影响因子:
--
通讯作者:
Tada Kenichi
Tada Kenichi
中科院分区:
--
文献类型:
--
作者:
Narumi Kazumasa;Naramoto Hiroshi;Yamada Keisuke;Chiba Atsuya;Saitoh Yuichi;渡邊良祐;Tada Kenichi

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概率表法是连续能量蒙特卡罗计算程序中处理不可分辨共振区自屏蔽效应的常用方法。采用阶梯法计算概率表。该方法基于平均共振参数使用随机数生成伪共振结构。概率表影响阶梯数,即,伪共振结构的数量。由于阶梯数越高,创建横截面库所需的时间越长,因此减小阶梯数的值是减少创建横截面库所需时间的有效方法。然而,尚未找到最合适的阶梯数的确切值。目前,用户必须使用核数据处理系统手动将阶梯数设置为足够大的值,以获得充分收敛的概率表。在这项研究中,所有核素的概率表中编制的JENDL-4.0被用来找到最佳的阶梯数。结果表明,当阶梯数为100时,概率表差异足够小。这些差异对中子学计算的影响被认为是小的。
The probability table method is widely used for continuous energy Monte Carlo calculation codes to treat the self-shielding effect in the unresolved resonance region. The ladder method is used to calculate the probability table. This method generates pseudo resonance structures using random numbers based on the averaged resonance parameters. The probability table affects the ladder number,i.e., the number of pseudo resonance structures. Since the higher the ladder number the longer it takes to create a cross-section library, reducing the value of the ladder number is an effective way to reduce the time spent in the creation of a cross-section library. However, the exact value of the most appropriate ladder number to use has not been found. Currently, users have to use a nuclear data processing system to manually set the ladder number to a large enough value in order to obtain a sufficiently converged probability table. In this study, the probability tables for all nuclides prepared in JENDL-4.0 are used to find the optimal ladder number. The results show that the probability table differences are small enough when the ladder number is 100. The impact of these differences on neutronics calculations is found to be small.
核数据处理代码 FRENDY 版本 1 的开发
DOI: 10.1109/nss/mic42101.2019.9059795
发表时间: 2019
期刊: 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
影响因子: --
作者:
Kenichi Tada;S. Kunieda;Y. Nagaya
通讯作者: Y. Nagaya
DOI: 10.3938/jkps.59.1115
发表时间: 2011
影响因子: 0.6
作者:
Briggs J. Blair;Nichole Ellis A.;Rugama Yolanda;Soppera Nicolas;Bossant Manuel
通讯作者: Bossant Manuel
DOI: 10.61092/iaea.6ajw-8ajb
发表时间: 2019
期刊:
影响因子: --
作者:
D. Cullen
通讯作者: D. Cullen