Single-step Monte Carlo criticality algorithm

doi:10.1016/j.cpc.2022.108439

Single-step Monte Carlo criticality algorithm

2022-10-01

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DOI：10.1016/j.cpc.2022.108439

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A single-step Monte Carlo criticality algorithm is proposed to improve the efficiency of Monte Carlo criticality calculation. This algorithm adopts the strategy of increasing neutron population cycle by cycle and achieves the highest computational efficiency through a weighted technique and mathematical optimization analysis. The inactive cycles are no longer needed, and all neutron histories contribute to the final results, so the fission source's convergence diagnosis is no longer needed. The algorithm's effectiveness is demonstrated with a single-rod model, an infinite medium problem, and the VERA benchmark problem #5 using a modified RMC code. (C) 2022 Elsevier B.V. All rights reserved.

Keywords:

RMC code

Fission source convergence

Weighted techniques

Mathematical optimization

Single-step Monte Carlo criticality algorithm

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