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Uncertainty on radiation doses estimated by biological and retrospective physical methods

Ainsbury, Elizabeth A.; Samaga, Daniel; Monaca, Sara Della; Marrale, Maurizio; Bassinet, Celine; Burbidge, Christopher I.; Correcher, Virgilio; Discher, Michael; Eakins, Jon and Fattibene, Paola, et al. (2018) In Radiation Protection Dosimetry 178(4). p.382-404
Abstract

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... (More)

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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published
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Radiation Protection Dosimetry
volume
178
issue
4
pages
23 pages
publisher
Nuclear Technology Publishing
external identifiers
  • scopus:85042114877
ISSN
0144-8420
DOI
10.1093/rpd/ncx125
language
English
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yes
id
e0f20d8b-588c-47d4-8bff-da7bed0b40aa
date added to LUP
2018-03-28 12:16:10
date last changed
2019-10-15 06:34:24
@article{e0f20d8b-588c-47d4-8bff-da7bed0b40aa,
  abstract     = {<p>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.</p>},
  author       = {Ainsbury, Elizabeth A. and Samaga, Daniel and Monaca, Sara Della and Marrale, Maurizio and Bassinet, Celine and Burbidge, Christopher I. and Correcher, Virgilio and Discher, Michael and Eakins, Jon and Fattibene, Paola and Güçlü, Inci and Higueras, Manuel and Lund, Eva and Maltar-Strmečki, Nadica and McKeever, Stephen and Rääf, Christopher L. and Sholom, Sergey and Veronese, Ivan and Wieser, Albrecht and Woda, Clemens and Trompier, Francois},
  issn         = {0144-8420},
  language     = {eng},
  month        = {03},
  number       = {4},
  pages        = {382--404},
  publisher    = {Nuclear Technology Publishing},
  series       = {Radiation Protection Dosimetry},
  title        = {Uncertainty on radiation doses estimated by biological and retrospective physical methods},
  url          = {http://dx.doi.org/10.1093/rpd/ncx125},
  volume       = {178},
  year         = {2018},
}