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Ueki, Taro
Nuclear Science and Engineering, 194(6), p.422 - 432, 2020/06
Times Cited Count：0 Percentile：0.01(Nuclear Science & Technology)In Monte Carlo criticality calculation, the convergence-in-distribution check of the sample mean of tallies can be approached in terms of the influence range of autocorrelation. In this context, it is necessary to evaluate the attenuation of autocorrelation coefficients over lags. However, in just one replica of calculation, it is difficult to accurately estimate small ACCs at large lags because of the comparability with statistical uncertainty. This paper proposes a method to overcome such an issue. Its essential component is the transformation of a standardized time series of tallies so that the resulting series asymptotically converges in distribution to Brownian motion. The convergence-in-distribution check is constructed based on the independent increment property of Brownian motion. The judgment criterion is set by way of the spectral analysis of fractional Brownian motion. Numerical results are demonstrated for extreme and standard types of criticality calculation.
Tsuboi, Hiroshi; Kanda, Keiji*
Nihon Genshiryoku Gakkai-Shi, 43(1), p.67 - 82, 2001/01
Times Cited Count：0 Percentile：0.01(Nuclear Science & Technology)no abstracts in English
Ueki, Taro
no journal, ,
In Monte Carlo criticality calculation, the convergence judgment tool for the sample mean of tallies is not established yet within the framework of convergence-in-distribution in probability theory. In this presentation, we report a convergence criterion based on stochastic differential equation. Its efficacy is demonstrated by the power spectrum of tallies.
Kawaguchi, Koichi; Ishii, Katsunori; Endo, Yoichi*; Suzuki, Akihiro*
no journal, ,
A real scale rotary kiln and its compact arrangement were designed based on experimental knowledge obtained from production test of simulated HLW granules using small scale rotary kiln. The system has a process capacity of 70L/h and meets to remote maintenance.
