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dc.contributor.authorForget, Benoit
dc.date.accessioned2026-02-10T16:34:57Z
dc.date.available2026-02-10T16:34:57Z
dc.date.issued2025-10-20
dc.identifier.urihttps://hdl.handle.net/1721.1/164774
dc.description.abstractThis paper presents an efficient Monte Carlo mode for simulating subcritical systems with external sources. While solving these systems as a fixed source is possible, the length of the histories grows significantly as the system nears criticality, making run time significant. Instead, a hybrid method is proposed that leverages the traditional eigensolver while including elements of the external source. The method builds on prior work,but proposes an approach that maintains the size of the source bank and also provides a natural way of scaling tallies with the true multiplication factor. The method is demonstrated on a subcritical sphere with varying point source position and energy spectrum, as well as an approach to criticality problem. The results demonstrate good agreement with the fixed-source mode, with much improved particle tracking rates for near-critical problems.en_US
dc.language.isoen
dc.publisherTaylor & Francisen_US
dc.relation.isversionofhttps://doi.org/10.1080/00295639.2025.2567813en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceTaylor & Francisen_US
dc.titleAn Efficient Subcritical Multiplication Mode for Monte Carlo Solversen_US
dc.typeArticleen_US
dc.identifier.citationForget, B. (2025). An Efficient Subcritical Multiplication Mode for Monte Carlo Solvers. Nuclear Science and Engineering, 1–11.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Nuclear Science and Engineeringen_US
dc.relation.journalNuclear Science and Engineeringen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2026-02-10T16:26:35Z
dspace.orderedauthorsForget, Ben_US
dspace.date.submission2026-02-10T16:26:36Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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