Uncertainty associated with Monte Carlo radiation transport in radionuclide metrology

Détails

ID Serval
serval:BIB_59398FF92BA0
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Uncertainty associated with Monte Carlo radiation transport in radionuclide metrology
Périodique
Metrologia
Auteur(s)
Bochud F.O., Laedermann J.P., Sima O.
ISSN
1681-7575 (Electronic)
ISSN-L
0026-1394
Statut éditorial
Publié
Date de publication
2015
Volume
52
Numéro
3
Pages
S191-S199
Langue
anglais
Résumé
In radionuclide metrology, Monte Carlo (MC) simulation is widely used to compute parameters associated with primary measurements or calibration factors. Although MC methods are used to estimate uncertainties, the uncertainty associated with radiation transport in MC calculations is usually difficult to estimate. Counting statistics is the most obvious component of MC uncertainty and has to be checked carefully, particularly when variance reduction is used. However, in most cases fluctuations associated with counting statistics can be reduced using sufficient computing power. Cross-section data have intrinsic uncertainties that induce correlations when apparently independent codes are compared. Their effect on the uncertainty of the estimated parameter is difficult to determine and varies widely from case to case. Finally, the most significant uncertainty component for radionuclide applications is usually that associated with the detector geometry. Recent 2D and 3D x-ray imaging tools may be utilized, but comparison with experimental data as well as adjustments of parameters are usually inevitable.
Création de la notice
28/01/2016 7:47
Dernière modification de la notice
20/08/2019 14:12
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