Corrigendum to “Particle clustering in Monte Carlo criticality simulations” [Ann. Nucl. Energy 63 (2014) 612–618]

Dumonteil, Éric; Malvagi, Fausto; Zoia, Andrea; Mazzolo, Alain; Artusio, Davide; Dieudonné, Cyril; Mulatier, Clélia de

doi:10.1016/j.anucene.2013.12.010

Cited by 5 publications

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“…Neutral clustering phenomena have been reported to occur in laboratory experiments and numerical simulations involving ecological communities [15][16][17]25]. In the context of reactor physics, though clustering of neutron populations has never been explicitly considered so far [35], the role of correlation-induced fluctuations has been extensively investigated in nuclear systems operated at very low power [4][5][6][36][37][38]. In all such cases, it has been shown that a deterministic approach to the description of the population behaviour would be meaningless, since the fluctuations of the local particle number may attain the same order of magnitude as the average particle number itself [5,6,17,25,37].…”

Section: Introductionmentioning

confidence: 99%

Clustering of branching Brownian motions in confined geometries

et al. 2014

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We study the evolution of a collection of individuals subject to Brownian diffusion, reproduction, and disappearance. In particular, we focus on the case where the individuals are initially prepared at equilibrium within a confined geometry. Such systems are widespread in physics and biology and apply for instance to the study of neutron populations in nuclear reactors and the dynamics of bacterial colonies, only to name a few. The fluctuations affecting the number of individuals in space and time may lead to a strong patchiness, with particles clustered together. We show that the analysis of this peculiar behavior can be rather easily carried out by resorting to a backward formalism based on the Green's function, which allows the key physical observables, namely, the particle concentration and the pair correlation function, to be explicitly derived.

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Section: Introductionmentioning

confidence: 99%

Clustering of branching Brownian motions in confined geometries

et al. 2014

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“…See, e.g., the discussion in(Dumonteil et al, 2014).24G.Truchet et al / Annals of Nuclear Energy 85 (2015) 17-26…”

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Computing adjoint-weighted kinetics parameters in Tripoli-4® by the Iterated Fission Probability method

Truchet

Leconte

Santamarina

et al. 2015

Annals of Nuclear Energy

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a b s t r a c tThe analysis of neutron kinetics relies on the knowledge of adjoint-weighted kinetics parameters, which are key to safety issues in the context of transient or accidental reactor behavior. The Iterated Fission Probability (IFP) method allows the adjoint-weighted mean generation time and delayed neutron fraction to be computed within a Monte Carlo power iteration calculation. In this work we describe the specific features of the implementation of the IFP algorithm in the reference Monte Carlo code TRIPOLI-4 Ò developed at CEA. Several verification and validation tests are discussed, and the impact of nuclear data libraries, IFP cycle length and inter-cycle correlations are analyzed in detail.

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