• High Power Laser and Particle Beams
  • Vol. 34, Issue 2, 026003 (2022)
Xiaobo Liu1 and Zehua Hu2
Author Affiliations
  • 1Institute of Nuclear Physics and Chemistry, CAEP, Mianyang 621900 China
  • 2Institute of Applied Physics and Computational Mathematics, Beijing 100094, China
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    DOI: 10.11884/HPLPB202234.210366 Cite this Article
    Xiaobo Liu, Zehua Hu. Monte Carlo calculation of critical benchmarking models for testing ENDF/B-VIII.0 nuclear data[J]. High Power Laser and Particle Beams, 2022, 34(2): 026003 Copy Citation Text show less
    Distribution pattern of relative deviation ri
    Fig. 1. Distribution pattern of relative deviation ri
    Distribution pattern of the ratio of the devitaion to uncertainty Ri
    Fig. 2. Distribution pattern of the ratio of the devitaion to uncertainty Ri
    fuel typenumber of benchmarks
    fastintermediatethermaltotal
    233U101718
    HEU295640
    IEU101617
    LEU0088
    Pu2111436
    total70841119
    Table 1. Categorization of the benchmarks in the expanded criticality validation suite
    nuclear datastatistical value of ri/10−5
    E(ri)STD(ri)F2(ri)
    ENDF/B-VII.115.45416.5638.05
    ENDF/B-VIII.0−68.98407.8837.77
    Table 2. Comparison of the statistics values for relative deviation ri
    nuclear datastatistical value of Ri/σcounts of Ri
    E(Ri)STD(Ri)F2(Ri)≤ 1σ1σ~3σ>3σ
    ENDF/B-VII.1−0.0291.7320.15894205
    ENDF/B-VIII.0−0.2721.5400.14310793
    Table 3. Comparison of the statistics values for deviation ratio Ri
    Xiaobo Liu, Zehua Hu. Monte Carlo calculation of critical benchmarking models for testing ENDF/B-VIII.0 nuclear data[J]. High Power Laser and Particle Beams, 2022, 34(2): 026003
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