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Brown, F.; Josey, C.; Henderson, S.; Martin, W.
Nuclear Energy Agency - NEA, 46 quai Alphonse Le Gallo, 92100 Boulogne-Billancourt (France); Institut de Radioprotection et de Surete Nucleaire - IRSN, 31 avenue de la Division Leclerc, 92260 Fontenay-aux-Roses (France)2019
Nuclear Energy Agency - NEA, 46 quai Alphonse Le Gallo, 92100 Boulogne-Billancourt (France); Institut de Radioprotection et de Surete Nucleaire - IRSN, 31 avenue de la Division Leclerc, 92260 Fontenay-aux-Roses (France)2019
AbstractAbstract
[en] Monte Carlo methods have been used for over 60 years in nuclear criticality safety (NCS) calculations. Significant burdens are placed on NCS analysts to properly run the calculations: -1) The initial guess for fission sites is defined by user input; -2) Users must ensure that sufficient neutrons/cycle are used to prevent bias; and -3) Users must ensure that enough cycles are discarded so that keff and the fission source have converged. In practice, a short run produces plots of keff and entropy, then the number of inactive cycles is manually set in the MCNP6 input file, and a final run is made. NCS work often requires parameter studies with 100 s of runs. For these studies, it is not practical to follow all of the procedures above, and conservative over-estimates are used for the inactive cycles. Recent work has addressed these burdens, providing automated acceleration of the convergence process, statistical tests for automatically determining convergence, and additional tests to assess whether a sufficient number of neutrons/cycle was used. These automated methods do not require user input and provide quantitative evidence of convergence. Testing on a wide range of problems has demonstrated that the methods are robust and reliable. (authors)
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2019; 10 p; ICNC 2019: 11. international conference on nuclear criticality safety; Paris (France); 15-20 Sep 2019; 17 refs.; Available from the INIS Liaison Officer for France, see the INIS website for current contact and E-mail addresses
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