2016
DOI: 10.1134/s1547477116020047
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Simulation of neutron production in heavy metal targets using Geant4 software

Abstract: Inelastic hadronic interactions in heavy targets have been simulated using Geant4 and compared with experimental data for thin and thick lead and uranium targets. Special attention is paid to neutron and fission fragment production. Good agreement in the description of proton beam interaction with thick tar gets is demonstrated, which is important for the simulation of experiments aimed at the development of sub critical reactors.

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Cited by 7 publications
(3 citation statements)
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References 12 publications
(26 reference statements)
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“…However, it demonstrates 15-25% overestimation of the neutron yield, especially in the low-energy range. The same result was obtained in the previous research [7].…”
Section: Physics Of Elementary Particles and Atomic Nuclei Experimentssupporting
confidence: 91%
“…However, it demonstrates 15-25% overestimation of the neutron yield, especially in the low-energy range. The same result was obtained in the previous research [7].…”
Section: Physics Of Elementary Particles and Atomic Nuclei Experimentssupporting
confidence: 91%
“…(201 E Web of Conferences https://doi.org/10.1051/e onf /201920404001 PJ pjc 9) 204 Baldin ISHEPP XXIV 4001 on neutron yield from thin and thick metallic targets [4], and the conclusion was made that one can relay on the results of the simulations within 25%. Standard electromagnetic models were used to model the electromagnetic interaction.…”
Section: Methodsmentioning
confidence: 99%
“…It was demonstrated in [17] that GEANT4 is applicable for quantitative description of interaction of beams with intermediate energies (from hundreds MeV to several GeV) with various heavy metal targets with a precision of 30%. The comparative analysis of calculations using different codes, namely, GEANT4, MCNPX, and SHIELD [18] also demonstrated satisfactory agreement on a level of 30% for ion beam interaction with thick targets.…”
Section: Simulationmentioning
confidence: 99%