Uncertainty evaluation in gamma spectrometric measurements: Uncertainty propagation versus Monte Carlo simulation
Journal article, 2018

Calculation and reporting of combined measurement uncertainties are important in decision making processes, and a more proper uncertainty estimation can reduce the risk and/or the cost associated with decisions for example after radiological incidents and in free release measurements of radioactive waste. However, sound decisions demand a sound uncertainty estimation. In this work we present the possible consequences when uncertainty propagation is applied to gamma-ray spectrometry measurements involving assumed probability density functions for an efficiency transfer having different metrological quality by comparison with Monte Carlo simulations.

Conformity assessment

Uncertainty propagation

Monte Carlo

Decision making

GUM

Author

Henrik Ramebäck

Chalmers, Chemistry and Chemical Engineering, Energy and Material, Nuclear Chemistry

Swedish Defence Research Agency (FOI)

P. Lindgren

Swedish Defence Research Agency (FOI)

Applied Radiation and Isotopes

0969-8043 (ISSN)

Vol. 142 71-76

Subject Categories

Other Engineering and Technologies not elsewhere specified

Other Civil Engineering

Probability Theory and Statistics

DOI

10.1016/j.apradiso.2018.09.024

More information

Latest update

1/28/2019