Literature DB >> 30612009

A Bayesian method to localize lost gamma sources.

A Bukartas1, R Finck2, J Wallin3, C L Rääf2.   

Abstract

A feasibility study of a Bayesian based algorithm for orphan source localization by means of mobile gamma spectrometry is presented. The method was tested on three types of gamma sources (137Cs, 133Ba and 131I) using a HPGe detector mounted on a vehicle. Estimates on source activity and source locations were within 51% and 29% of actual values, respectively. Further studies are required to validate and develop this method for additional source-detector configurations and gamma radiation background conditions.
Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.

Keywords:  Bayesian statistics; Mobile gamma spectrometry; Orphan gamma sources; Radioactive source mapping; Source localization

Year:  2018        PMID： 30612009     DOI： 10.1016/j.apradiso.2018.11.008

Source DB:  PubMed          Journal:  Appl Radiat Isot        ISSN： 0969-8043            Impact factor:   1.513


  1 in total

1.  Bayesian algorithm to estimate position and activity of an orphan gamma source utilizing multiple detectors in a mobile gamma spectrometry system.

Authors:  Antanas Bukartas; Jonas Wallin; Robert Finck; Christopher Rääf
Journal:  PLoS One       Date:  2021-01-22       Impact factor: 3.240
  1 in total

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