A benchmark for Monte Carlo simulations in gamma-ray spectrometry Part II: True coincidence summing correction factors.
Coincidence summing
EFFTRAN
EGS4
EGSnrc
Efficiency
GEANT4
GESPECOR
Gamma-ray spectrometry
MCNP
Monte Carlo simulation
PENELOPE
Journal
Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine
ISSN: 1872-9800
Titre abrégé: Appl Radiat Isot
Pays: England
ID NLM: 9306253
Informations de publication
Date de publication:
21 Nov 2023
21 Nov 2023
Historique:
received:
08
06
2023
revised:
31
10
2023
accepted:
07
11
2023
medline:
30
11
2023
pubmed:
30
11
2023
entrez:
29
11
2023
Statut:
aheadofprint
Résumé
The 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.
Identifiants
pubmed: 38029636
pii: S0969-8043(23)00462-1
doi: 10.1016/j.apradiso.2023.111109
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
111109Informations de copyright
Copyright © 2023 Elsevier Ltd. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.