Monte Carlo Simulation of Background and Source Measurements with CSG and CAD Geometries [electronic resource]

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Bibliographic Details
Online Access: Full Text (via OSTI)
Corporate Author: Oak Ridge National Laboratory (Researcher)
Format: Government Document Electronic eBook
Language:English
Published: Washington, D.C. : Oak Ridge, Tenn. : United States. Department of Energy. Office of Science ; Distributed by the Office of Scientific and Technical Information, U.S. Department of Energy, 2021.

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245 0 0 |a Monte Carlo Simulation of Background and Source Measurements with CSG and CAD Geometries  |h [electronic resource] 
260 |a Washington, D.C. :  |b United States. Department of Energy. Office of Science ;  |a Oak Ridge, Tenn. :  |b Distributed by the Office of Scientific and Technical Information, U.S. Department of Energy,  |c 2021. 
300 |a Size: 39 p. :  |b digital, PDF file. 
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500 |a Published through Scitech Connect. 
500 |a 06/01/2021. 
500 |a "ORNL/TM-2021/2078." 
500 |a Peplow, Douglas E. ; Davidson, Gregory G. ; Celik, Cihangir ; Biondo, Elliott D. ; Hackett, Alexandra C. ; Ray, William R. ; Archer, Daniel E. ; Ghawaly, Jr., James M. ; Nicholson, Andrew D. ; Willis, Michael J. ; et al. 
520 3 |a Detecting radioactive sources in an urban environment is difficult due to the large magnitude and variability of the background radiation. To support the search mission of the National Nuclear Security Administration, a project was undertaken to determine if first-principles modeling and simulation could be used to accurately predict the response of radiation detectors in urban environments. This study demonstrates that the simulated detector responses to photon radiation from both an isotopic source and the background compare well to benchmark-quality measurements in a large urban-like test environment. Simulation results using a traditional combinatorial solid geometry and a CAD model generated from LiDAR measurements gave very similar detector responses. With this validation, further simulations could be used to predict detector responses for various situations in real urban settings. 
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710 2 |a Oak Ridge National Laboratory.  |4 res. 
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710 1 |a United States.  |b Department of Energy.  |b Office of Scientific and Technical Information  |4 dst. 
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