Pregled bibliografske jedinice broj: 892799
Uncertainty on radiation doses estimated by biological and retrospective physical methods
Uncertainty on radiation doses estimated by biological and retrospective physical methods // Radiation protection dosimetry, 178 (2018), 4; 382-404 doi:10.1093/rpd/ncx125 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 892799 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Uncertainty on radiation doses estimated by biological and retrospective physical methods
Autori
Ainsbury, Elizabeth A. ; Samaga, Daniel ; Della Monaca, Sara ; Marrale, Maurizio ; Bassinet, Celine ; Christopher I. Burbidge, Christopher I. ; Correcher, Vurgilio ; Discher, Michael ; Eakins, Jon ; Fattibene, Paola ; Güçlü, Incli ; Higueras, Manuel ; Lund, Eva ; Maltar-Strmečki, Nadica ; McKeever, Stephen ; Rääf, Christopher L. ; Sholom, Sergey ; Veronese, Ivan ; Wieser, Albrecht ; Woda, Clemens ; Francois Trompier, Francois
Izvornik
Radiation protection dosimetry (0144-8420) 178
(2018), 4;
382-404
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
retrospective dosimetry, biodosimetry, physical dosimetry, uncertainity
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Matematika, Fizika, Kemija
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- MEDLINE