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Ainsbury, E.A.* ; Samaga, D.* ; Della Monaca, S.* ; Marrale, M.* ; Bassinet, C.* ; Burbidge, C.I.* ; Correcher, V.* ; Discher, M.* ; Eakins, J.* ; Fattibene, P.* ; Güçlü, I.* ; Higueras, M.* ; Lund, E.* ; Maltar-Strmecki, N.* ; McKeever, S.W.S.* ; Rääf, C.L.* ; Sholom, S.* ; Veronese, I.* ; Wieser, A. ; Woda, C. ; Trompier, F.*

Uncertainty on radiation doses estimated by biological and retrospective physical methods.

Radiat. Prot. Dosim. 178, 382–404 (2018)
DOI PMC
Open Access Green as soon as Postprint is submitted to ZB.
Biological and physical retrospective dosimetry are recognised as key techniques to provide individual estimates of dose following unplanned exposures to ionising radiation. Whilst there has been a relatively large amount of recent development in the biological and physical procedures, development of statistical analysis techniques has failed to keep pace. The aim of this paper is to review the current state of the art in uncertainty analysis techniques across the 'EURADOS Working Group 10-Retrospective dosimetry' members, to give concrete examples of implementation of the techniques recommended in the international standards, and to further promote the use of Monte Carlo techniques to support characterisation of uncertainties. It is concluded that sufficient techniques are available and in use by most laboratories for acute, whole body exposures to highly penetrating radiation, but further work will be required to ensure that statistical analysis is always wholly sufficient for the more complex exposure scenarios.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Chromosome-aberration Data; Optically Stimulated Luminescence; Biodosimetry Network Reneb; Epr Dosimetry System; Double-strand Breaks; Tooth Enamel; Emergency Response; European Network; Mobile Phones; Accident Dosimetry
Language english
Publication Year 2018
Prepublished in Year 2017
HGF-reported in Year 2017
ISSN (print) / ISBN 0144-8420
e-ISSN 1742-3406
Quellenangaben Volume: 178, Issue: 4, Pages: 382–404 Article Number: , Supplement: ,
Publisher Oxford University Press
Publishing Place Oxford
Reviewing status Peer reviewed
POF-Topic(s) 30504 - Mechanisms of Genetic and Environmental Influences on Health and Disease
Research field(s) Radiation Sciences
PSP Element(s) G-501100-005
PubMed ID 28981844
Erfassungsdatum 2017-10-12