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Radiation Protection Dosimetry Advance Access published online on May 12, 2006
Radiation Protection Dosimetry, doi:10.1093/rpd/ncl013
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© The Author 2006. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Krakow-Eurados 2005 Special Issue Article

PITFALLS AND MODELLING INCONSISTENCIES IN COMPUTATIONAL RADIATION DOSIMETRY: LESSONS LEARNT FROM THE QUADOS INTERCOMPARISON. PART I: NEUTRONS AND UNCERTAINTIES

B. R. L. Siebert 1, R. J. Tanner 2 *, J.-L. Chartier 3, S. Agosteo 4, B. Großwendt 1, G. Gualdrini 5, S. Ménard 3, I. Kodeli 6, G. P. Leuthold 7, R. A. Price 8, H. Tagziria 9, M. Terrissol 10, and M. Zankl 7

1 PTB, Postfach 3345, D-38023 Braunschweig, Germany
2 Radiation Protection Division, HPA, Chilton, Didcot, Oxon OX11 0RG, UK
3 IRSN, BP 17 F-92262 Fontenay-aux-Roses, Cedex, France
4 Dipartimento Ingegneria Nucleare, Politecnico di Milano, v. Ponzio 34/3 I-20133 Milano, Italy
5 ENEA ION-IRP, Via dei Colli 16, I-40136 Bologna, Italy
6 IAEA representative at OECD/NEA Data Bank, 12 bd. des Iles, F-92130 Issy-les-Moulinaux, France
7 GSF, Ingolstadter Landstrasse 1, D85764 Neuherberg, Germany
8 City University, Department of Radiography, Charterhouse Square, London, UK
9 Joint Research Centre, Ispra site, Via E. Fermi 1, I-21020 Ispra (VA), Italy
10 CPAT, University Paul Sabatier, 118 route de Narbonne, F-31062, Toulouse, Cedex 4, France

* To whom correspondence should be addressed.
R. J. Tanner, E-mail: Rick.Tanner{at}NRPB.ORG


  Abstract

The QUADOS EU cost shared action conducted an intercomparison on the usage of numerical methods in radiation protection and dosimetry. The eight problems proposed were intended to test the usage of Monte Carlo and deterministic methods by assessing the accuracy with which the codes are applied and also the methods used to evaluate uncertainty in the answer gained through these methods. The overall objective was to spread good practice through the community and give users information on how to assess the uncertainties associated with their calculated results.


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