title: Air Kerma Rate estimation by means of in-situ gamma spectrometry: a Bayesian approach.
abstract: Bayesian inference is used to determine the Air Kerma Rate based on in-situ gamma spectrum measurement performed with an NaI(Tl) scintillation detector. The procedure accounts for uncertainties in the measurement and in the mass energy transfer coefficients needed for the calculation. The WinBUGS program (Spiegelhalter et al., 1999) was used. The results show that the relative uncertainties in the Air Kerma estimate are of about 1%, and that the choice of unfolding procedure may lead to an estimate systematic error of 3%.
authors.affiliation: Department of Dosimetry and Applications of Ionizing Radiation, Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Prague, Czech Republic. cabal@ujf.cas.cz
authors.forename: Gonzalo
authors.initials: G
authors.lastname: Cabal
authors.forename: Jaroslav
authors.initials: J
authors.lastname: Kluson
mesh_terms: D000388:Air; D000465:Algorithms; D001499:Bayes Theorem; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013051:Spectrometry, Gamma / Q000379:methods*