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Total Monte Carlo evaluation for dose calculations
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Applied Nuclear Physics. (Nuclear Reactions Group)
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Applied Nuclear Physics. (Nuclear Research Group)
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Applied Nuclear Physics.
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Applied Nuclear Physics. (Nuclear Reactions Group)
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2014 (English)In: Radiation Protection Dosimetry, ISSN 0144-8420, E-ISSN 1742-3406, Vol. 161, no 1-4, 312-315 p.Article in journal (Refereed) Published
Abstract [en]

Total Monte Carlo (TMC) is a method to propagate nuclear data (ND) uncertainties in transport codes, by using a large set of ND files, which covers the ND uncertainty. The transport code is run multiple times, each time with a unique ND file, and the result is a distribution of the investigated parameter, e.g. dose, where the width of the distribution is interpreted as the uncertainty due to ND. Until recently, this was computer intensive, but with a new development, fast TMC, more applications are accessible. The aim of this work is to test the fast TMC methodology on a dosimetry application and to propagate the 56Fe uncertainties on the predictions of the dose outside a proposed 14-MeV neutron facility. The uncertainty was found to be 4.2 %. This can be considered small; however, this cannot be generalised to all dosimetry applications and so ND uncertainties should routinely be included in most dosimetry modelling.

Place, publisher, year, edition, pages
2014. Vol. 161, no 1-4, 312-315 p.
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Applied Nuclear Physics
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URN: urn:nbn:se:uu:diva-211570DOI: 10.1093/rpd/nct296ISI: 000343057600067PubMedID: 24277871OAI: oai:DiVA.org:uu-211570DiVA: diva2:667595
Available from: 2013-11-27 Created: 2013-11-27 Last updated: 2017-12-06Bibliographically approved

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Publisher's full textPubMedhttp://rpd.oxfordjournals.org/content/early/2013/11/22/rpd.nct296.full.pdf+html

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Sjöstrand, HenrikAlhassan, ErwinConroy, SeanHellesen, CarlPomp, StephanÖsterlund, MichaelArjan, Koning J.

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