D3.3 Approximate Sequential Bayesian Filtering to Estimate Rn-222 Emanation from Ra-226 Sources from Spectra

Event
SMSI 2021
2021-05-03 - 2021-05-06
digital
Band
SMSI 2021 - Measurement Science
Chapter
D3 Measurement Foundations II
Author(s)
F. Mertes, S. Röttger, A. Röttger - Physikalisch-Technische Bundesanstalt, Braunschweig (Germany)
Pages
256 - 257
DOI
10.5162/SMSI2021/D3.3
ISBN
978-3-9819376-4-0
Price
free

Abstract

A new approach to assess the emanation of 222Rn from 226Ra sources based on measurements of the residual 222Rn is presented. The method incorporates the dynamics into the inference procedure, rather than resorting to previously available steady-state approximations. The algorithm is based on approximate Bayesian filtering in a switched linear dynamical system to identify regimes of changing emanation behavior from a time-series of spectral data.

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