2011
DOI: 10.1103/physrevc.83.064612
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Advanced Monte Carlo modeling of prompt fission neutrons for thermal and fast neutron-induced fission reactions onPu239

Abstract: Prompt fission neutrons following the thermal and 0.5 MeV neutron-induced fission reaction of 239 Pu are calculated using a Monte Carlo approach to the evaporation of the excited fission fragments. Exclusive data such as the multiplicity distribution P (ν), the average multiplicity as a function of fragment mass ν(A), and many others are inferred in addition to the most used average prompt fission neutron spectrum χ (E in , E out), as well as average neutron multiplicity ν. Experimental information on these mo… Show more

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Cited by 91 publications
(74 citation statements)
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“…http://pos.sissa.it different nuclear temperatures for the fission fragments, as in [5]. Some results for the fission of 238 U with 14.5 MeV neutrons, obtained with this model, are shown in figure 4.…”
Section: Pos(baldin Ishepp Xxi)088mentioning
confidence: 99%
“…http://pos.sissa.it different nuclear temperatures for the fission fragments, as in [5]. Some results for the fission of 238 U with 14.5 MeV neutrons, obtained with this model, are shown in figure 4.…”
Section: Pos(baldin Ishepp Xxi)088mentioning
confidence: 99%
“…Properties of prompt fission neutrons and γ rays, emitted before the weak decays of the fission fragments toward stability, are important for both nuclear technologies and a better understanding of the fission process. Significant effort has been directed to the study of prompt fission neutron properties [1][2][3][4][5], in particular the average spectrum and multiplicity, but the properties of the prompt γ rays have been less studied. Hence, uncertainties on nuclear data needed for fast reactors are large, given that even in the well known thermal power reactors, the local γ heating can be under predicted by up to 30% [6].…”
mentioning
confidence: 99%
“…The distribution of excitation energy between the fragments [7,8] is also a very disputed question [9][10][11][12]. In order to guide theory, it is important to provide theorists and evaluators with experimental data containing as many correlations as possible between the different observables, such as fragments mass, charge, kinetic energy and emitted particle multiplicities.…”
Section: Introductionmentioning
confidence: 99%