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Title: A matrix-inversion method for gamma-source mapping from gamma-count data

Abstract

In a previous paper it was proposed that a simple matrix inversion method could be used to extract source distributions from gamma-count maps, using simple models to calculate the response matrix. The method was tested using numerically generated count maps. In the present work a 100 kBq Co{sup 60} source has been placed on a gridded surface and the count rate measured using a NaI scintillation detector. The resulting map of gamma counts was used as input to the matrix inversion procedure and the source position recovered. A multi-source array was simulated by superposition of several single-source count maps and the source distribution was again recovered using matrix inversion. The measurements were performed for several detector heights. The effects of uncertainties in source-detector distances on the matrix inversion method are also examined. The results from this work give confidence in the application of the method to practical applications, such as the segregation of highly active objects amongst fuel-element debris. (authors)

Authors:
 [1];  [2];  [3]
  1. Consultancy, Nuvia Limited, Harwell Science and Innovation Campus, Didcot, Oxon., OX11 0RL (United Kingdom)
  2. Department of Materials, Imperial College London, London SW7 2AZ (United Kingdom)
  3. Health Physics Division, Nuvia Limited, Harwell Science and Innovation Campus, Didcot, Oxon., OX11 0TQ (United Kingdom)
Publication Date:
Research Org.:
American Society of Mechanical Engineers - ASME, Nuclear Engineering Division, Environmental Engineering Division, Two Park Avenue, New York, NY 10016-5990 (United States)
OSTI Identifier:
22535230
Resource Type:
Conference
Resource Relation:
Conference: ICEM2013 - ASME 2013: 15. International Conference on Environmental Remediation and Radioactive Waste Management, Brussels (Belgium), 8-12 Sep 2013; Other Information: Country of input: France; 3 refs
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICAL METHODS AND COMPUTING; 12 MANAGEMENT OF RADIOACTIVE WASTES, AND NON-RADIOACTIVE WASTES FROM NUCLEAR FACILITIES; COBALT 60; GAMMA SOURCES; MAPS; MATRICES; NAI DETECTORS; SPENT FUELS

Citation Formats

Adsley, Ian, Burgess, Claire, and Bull, Richard K. A matrix-inversion method for gamma-source mapping from gamma-count data. United States: N. p., 2013. Web. doi:10.1115/ICEM2013-96017.
Adsley, Ian, Burgess, Claire, & Bull, Richard K. A matrix-inversion method for gamma-source mapping from gamma-count data. United States. doi:10.1115/ICEM2013-96017.
Adsley, Ian, Burgess, Claire, and Bull, Richard K. Mon . "A matrix-inversion method for gamma-source mapping from gamma-count data". United States. doi:10.1115/ICEM2013-96017.
@article{osti_22535230,
title = {A matrix-inversion method for gamma-source mapping from gamma-count data},
author = {Adsley, Ian and Burgess, Claire and Bull, Richard K},
abstractNote = {In a previous paper it was proposed that a simple matrix inversion method could be used to extract source distributions from gamma-count maps, using simple models to calculate the response matrix. The method was tested using numerically generated count maps. In the present work a 100 kBq Co{sup 60} source has been placed on a gridded surface and the count rate measured using a NaI scintillation detector. The resulting map of gamma counts was used as input to the matrix inversion procedure and the source position recovered. A multi-source array was simulated by superposition of several single-source count maps and the source distribution was again recovered using matrix inversion. The measurements were performed for several detector heights. The effects of uncertainties in source-detector distances on the matrix inversion method are also examined. The results from this work give confidence in the application of the method to practical applications, such as the segregation of highly active objects amongst fuel-element debris. (authors)},
doi = {10.1115/ICEM2013-96017},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Jul 01 00:00:00 EDT 2013},
month = {Mon Jul 01 00:00:00 EDT 2013}
}

Conference:
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