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A benchmark for Monte Carlo simulations in gamma-ray spectrometry part II: true coincidence summing correction factors

dc.contributor.authorLépy, Marie Christine
dc.contributor.authorThiam, Cheick
dc.contributor.authorAnagnostakis, Mario J.
dc.contributor.authorCosar, Ciprian
dc.contributor.authorBlas del Hoyo, Alfredo de
dc.contributor.authorDikmen, Hasan
dc.contributor.authorDuch Guillen, María Amor
dc.contributor.authorGalea, Raphael
dc.contributor.authorGanea, Maria Larisa
dc.contributor.authorHurtado Bermudez, Santiago José
dc.contributor.authorKarfopoulos, Konstantinos
dc.contributor.authorVargas Drechsler, Arturo
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Física
dc.contributor.otherUniversitat Politècnica de Catalunya. Institut de Tècniques Energètiques
dc.date.accessioned2024-01-12T08:51:46Z
dc.date.issued2024-02-01
dc.identifier.citationLépy, M. [et al.]. A benchmark for Monte Carlo simulations in gamma-ray spectrometry part II: true coincidence summing correction factors. "Applied radiation and isotopes", 1 Febrer 2024, vol. 204, núm. article 111109.
dc.identifier.issn1872-9800
dc.identifier.urihttp://hdl.handle.net/2117/399238
dc.description.abstractThe goal of this study is to provide a benchmark for the use of Monte Carlo simulation when applied to coincidence summing corrections. The examples are based on simple geometries: two types of germanium detectors and four kinds of sources, to mimic eight typical measurement conditions. The coincidence corrective factors are computed for four radionuclides. The exercise input files and calculation results with practical recommendations are made available for new users on a dedicated webpage.
dc.language.isoeng
dc.publisherElsevier
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectÀrees temàtiques de la UPC::Energies::Energia nuclear
dc.subject.lcshMonte Carlo method
dc.subject.lcshGamma ray spectrometry
dc.subject.otherCoincidence summing
dc.subject.otherEFFTRAN
dc.subject.otherEGS4
dc.subject.otherEGSnrc
dc.subject.otherEfficiency
dc.subject.otherGEANT4
dc.subject.otherGESPECOR
dc.subject.otherGamma-ray spectrometry
dc.subject.otherMCNP
dc.subject.otherMonte Carlo simulation
dc.subject.otherPENELOPE
dc.titleA benchmark for Monte Carlo simulations in gamma-ray spectrometry part II: true coincidence summing correction factors
dc.typeArticle
dc.subject.lemacMontecarlo, Mètode de
dc.subject.lemacEspectrometria de raigs gamma
dc.contributor.groupUniversitat Politècnica de Catalunya. ANT - Advanced Nuclear Technologies Research Group
dc.contributor.groupUniversitat Politècnica de Catalunya. IONHE - Ionising Radiation, Health and Environment
dc.identifier.doi10.1016/j.apradiso.2023.111109
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/abs/pii/S0969804323004621
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac37827957
dc.description.versionPostprint (author's final draft)
dc.date.lift2026-02
local.citation.authorLépy , M.; Thiam, C.; Anagnostakis, M.; Cosar, C.; De Blas, A.; Dikmen, H.; Duch, M.; Galea, R.; Ganea, M.; Hurtado, S.; Karfopoulos, K.; Vargas, A.
local.citation.publicationNameApplied radiation and isotopes
local.citation.volume204
local.citation.numberarticle 111109
dc.description.authorshipArticle signat per 26 autors/es: M.-C. Lépy, C. Thiam, M. Anagnostakis, C. Cosar, A. de Blas, H. Dikmen, M.A. Duch, R. Galea, M.L. Ganea, S. Hurtado, K. Karfopoulos, A. Luca, G. Lutter, I. Mitsios, H. Persson, C. Potiriadis, S. Röttger, N. Salpadimos, M.I. Savva, O. Sima, T.T. Thanh, R.W. Townson, A. Vargas, T. Vasilopoulou, L. Verheyen, T. Vidmar


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