Extending Embedded Monte Carlo as a novel method for nuclear data uncertainty quantification

Special Issue on ‘Overview of recent advances in HPC simulation methods for nuclear applications’, edited by Andrea Zoia, Elie Saikali, Cheikh Diop and Cyrille de Saint Jean

Open Access

Fig. 2.

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k_eff distribution for the analytic benchmark for $\bar{ν}$ $\overline{\nu}$ , PFNS, density of ²³⁹Pu and all parameters combined using 500 random samples and respectively 10⁸ and 5 ⋅ 10⁶ neutron histories for TMC and EMC respectively. (a) Average neutron multiplicity simulation. (b) PFNS simulation. (c) Density of ²³⁹Pu case. (d) All input parameters simulation.

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