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Title: Streamlined Monte Carlo simulation of environmental gamma-ray backgrounds for radiation detector sensitivity comparisons

Abstract

In a recent effort to compare the detection sensitivity of a variety of gamma radiation detectors applied to in-situ and lightly shielded field laboratory scenarios, the authors found that a lack of “apples-to-apples” background measurements with the different detectors presented significant challenges in the detection sensitivity calculations. To overcome this hurdle, Monte Carlo modeling of the terrestrial environmental gamma radiation and experimental measurements were undertaken. Inspired by the work of Vojtyla to reduce the computing burden of modeling bremsstrahlung emitted from the surface of lead, a related approach was taken to define a gamma-ray surface source that would adequately represent the emission of natural gamma-rays from the earth’s surface. This work will present the definition of a surface source that is based on the potassium, uranium, and thorium content of a local soil, and provide a comparison to experimental in-situ gamma measurements.

Authors:
; ; ; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1489256
Report Number(s):
PNNL-SA-133971
Journal ID: ISSN 0236-5731
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Journal Article
Journal Name:
Journal of Radioanalytical and Nuclear Chemistry
Additional Journal Information:
Journal Volume: 318; Journal Issue: 1; Journal ID: ISSN 0236-5731
Publisher:
Springer
Country of Publication:
United States
Language:
English

Citation Formats

Keillor, Martin E., Campbell, Luke W., Cowles, Christian C., Dion, Michael P., Ely, James H., and Neumann, Colby R. Streamlined Monte Carlo simulation of environmental gamma-ray backgrounds for radiation detector sensitivity comparisons. United States: N. p., 2018. Web. doi:10.1007/s10967-018-6150-4.
Keillor, Martin E., Campbell, Luke W., Cowles, Christian C., Dion, Michael P., Ely, James H., & Neumann, Colby R. Streamlined Monte Carlo simulation of environmental gamma-ray backgrounds for radiation detector sensitivity comparisons. United States. doi:10.1007/s10967-018-6150-4.
Keillor, Martin E., Campbell, Luke W., Cowles, Christian C., Dion, Michael P., Ely, James H., and Neumann, Colby R. Sat . "Streamlined Monte Carlo simulation of environmental gamma-ray backgrounds for radiation detector sensitivity comparisons". United States. doi:10.1007/s10967-018-6150-4.
@article{osti_1489256,
title = {Streamlined Monte Carlo simulation of environmental gamma-ray backgrounds for radiation detector sensitivity comparisons},
author = {Keillor, Martin E. and Campbell, Luke W. and Cowles, Christian C. and Dion, Michael P. and Ely, James H. and Neumann, Colby R.},
abstractNote = {In a recent effort to compare the detection sensitivity of a variety of gamma radiation detectors applied to in-situ and lightly shielded field laboratory scenarios, the authors found that a lack of “apples-to-apples” background measurements with the different detectors presented significant challenges in the detection sensitivity calculations. To overcome this hurdle, Monte Carlo modeling of the terrestrial environmental gamma radiation and experimental measurements were undertaken. Inspired by the work of Vojtyla to reduce the computing burden of modeling bremsstrahlung emitted from the surface of lead, a related approach was taken to define a gamma-ray surface source that would adequately represent the emission of natural gamma-rays from the earth’s surface. This work will present the definition of a surface source that is based on the potassium, uranium, and thorium content of a local soil, and provide a comparison to experimental in-situ gamma measurements.},
doi = {10.1007/s10967-018-6150-4},
journal = {Journal of Radioanalytical and Nuclear Chemistry},
issn = {0236-5731},
number = 1,
volume = 318,
place = {United States},
year = {2018},
month = {9}
}

Works referenced in this record:

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