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Construction of GVR weight windows maps from very low density transport simulations

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dc.contributor.authorFarga Niñoles, Gonzalo
dc.contributor.authorOgando Serrano, Francisco M.
dc.contributor.authorAlguacil Orejudo, Javier
dc.contributor.authorSauvan, Patrick
dc.date.accessioned2025-02-12T11:55:33Z
dc.date.available2025-02-12T11:55:33Z
dc.date.issued2024-05
dc.descriptionThe registered version of this article, first published in “Fusion Engineering and Design, 202", is available online at the publisher's website: Elsevier, https://doi.org/10.1016/j.fusengdes.2024.114417
dc.descriptionLa versión registrada de este artículo, publicado por primera vez en “Fusion Engineering and Design, 202", está disponible en línea en el sitio web del editor: Elsevier, https://doi.org/10.1016/j.fusengdes.2024.114417
dc.description.abstractFusion-related facilities present relevant neutron radiation fields even after penetrating through a considerable thickness of shielding material. Neutronic analyses performed via Monte Carlo codes, then, need Global Variance Reduction (GVR) techniques so that low statistical uncertainty is reached efficiently throughout the geometry. Mesh-based Weight Windows is a flexible methodology used extensively for variance reduction purposes, both for Local and Global Variance Reduction. Purely stochastic GVR methodologies based on Weight Windows usually construct weight maps so that they are proportional to the forward particle flux, which is unknown a priori. Therefore, an iterative cycle is established. In each iteration, a weight map is obtained from the forward flux that allows the next iteration to reach further into the geometry, until all of it is populated. However, this iterative cycle may take a considerable amount of computer time, as many iterations are needed to fully populate the geometry. An alternative to achieve relevant penetration in a single iteration is to perform calculations at very low densities. However, a reconstruction method is needed to estimate the flux at the real density. This work studies a scheme to reconstruct the fluxes from low density calculations and compares it to already existing techniques.en
dc.description.versionversión publicada
dc.identifier.citationFarga-Niñoles, G., Ogando, F., Alguacil, J., & Sauvan, P. (2024). Construction of GVR weight windows maps from very low density transport simulations. Fusion Engineering and Design, 202. https://doi.org/10.1016/j.fusengdes.2024.114417
dc.identifier.doihttps://doi.org/10.1016/j.fusengdes.2024.114417
dc.identifier.issn0920-3796 | eISSN 1873-7196
dc.identifier.urihttps://hdl.handle.net/20.500.14468/25907
dc.journal.titleFusion Engineering and Design
dc.journal.volume202
dc.language.isoen
dc.publisherElsevier
dc.relation.centerFacultades y escuelas::E.T.S. de Ingenieros Industriales
dc.relation.departmentIngeniería Energética
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/deed.es
dc.subject33 Ciencias Tecnológicas
dc.subject.keywordsGlobal variance reductionen
dc.subject.keywordsWeight windowsen
dc.subject.keywordsMonte Carlo particle transporten
dc.subject.keywordsMCNPen
dc.titleConstruction of GVR weight windows maps from very low density transport simulationsen
dc.typeartículoes
dc.typejournal articleen
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscoverya2914849-dbc1-4d01-acb5-e4135706288c
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