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dc.contributor.authorVadillo Arroyo, Fernando
dc.date.accessioned2021-12-27T11:23:39Z
dc.date.available2021-12-27T11:23:39Z
dc.date.issued2021-11-04
dc.identifier.citationDynamics 1(2) : 198-203 (2021)es_ES
dc.identifier.issn2673-8716
dc.identifier.urihttp://hdl.handle.net/10810/54741
dc.description.abstractIn this short paper, we compare the deterministic model for the nuclear reactor dynamic (Hetrick, 1993) with the stochastic model (Kinard and Allen, 2004). Our numerical results show coincidences between the deterministic model and the mean of the stochastic paths, although, as already observed by other authors, there is alarge amount of dispersion between the individual paths. Notably, we always observe that the neutron density approaches zero within a short time. In this paper, we investigate this question; more concretely, we study the mean-extinction of the neutron density. The technique used here first builds the backward Kolmogorov differential equation and then solves it numerically using the finite-element method with FreeFem++. Our results confirm that in a very short time the neutrons disappear although later they recover probably due to the external source.es_ES
dc.description.sponsorshipThis work was supported by Spanish Ministry of Sciences Innovation and Universities with the project PGC2018-094522-B-100 and by the Basque Government with the project IT1247-19.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relationinfo:eu-repo/grantAgreement/MCIU/PGC2018-094522-B-100es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subjectstochastic diffusion equationses_ES
dc.subjectneutron density variancees_ES
dc.subjecteuler–maruyama methodes_ES
dc.subjectfinite-element methodes_ES
dc.titleOn the Zero-Neutron Density in Stochastic Nuclear Dynamicses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.date.updated2021-12-23T15:06:24Z
dc.rights.holder© 2021 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).es_ES
dc.relation.publisherversionhttps://www.mdpi.com/2673-8716/1/2/12es_ES
dc.identifier.doi10.3390/dynamics1020012
dc.departamentoesMatemáticas
dc.departamentoeuMatematika


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© 2021 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's license is described as © 2021 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).