Attribution of gamma-ray background collected by a mobile detector system to its surroundings using panoramic video
Abstract
Mobile radiation detector systems are important tools for detecting radiological and nuclear sources outside of regulatory control, but due to their mobility, they are subject to complex and varying backgrounds in most realistic operational scenarios. Recent work has found correlations between non-radiological contextual information and gamma-ray spectral features that can be used to decrease false alarm rates, however a more complete understanding of background source terms has been elusive. A measurement campaign developed a full radiological characterization of a controlled facility that roughly corresponded to two city blocks. As part of the campaign, the Radiological Multi-sensor Analysis Platform (RadMAP) collected extensive multi-sensor data. In this work, RadMAP’s panoramic video data were used to visually identify several different materials and quantify the detector response to each material. A linear model was fit between the material responses and radiological features, and the results demonstrate reasonable agreement with ground truth flux measurements for each material. This paper will describe the data collection, processing, and analysis of the gamma-ray and video data from RadMAP. The paper will conclude with perspectives on the applicability of such a method to less controlled environments both with respect to achieving better understanding the sources of variability of backgroundmore »
- Authors:
-
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Nuclear Science Division
- Univ. of California, Berkeley, CA (United States)
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Nuclear Science Division; Univ. of California, Berkeley, CA (United States)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Remote Sensing Lab. (RSL), Nellis AFB, Las Vegas, NV (United States)
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1606659
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment
- Additional Journal Information:
- Journal Volume: 954; Journal Issue: C; Journal ID: ISSN 0168-9002
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; Gamma-ray detection; Background radiation; Data fusion; Homeland security
Citation Formats
Romano, Catherine E., Bandstra, Mark S., Quiter, Brian, Bilton, Kyle J., Joshi, Tenzing H.Y., Meyer, Ross, Negut, Victor, Vetter, Kai, Archer, Daniel E., Hornback, Donald Eric, Peplow, Douglas E., Swinney, Mathew, McCullough, Thomas, and McLean, Lance. Attribution of gamma-ray background collected by a mobile detector system to its surroundings using panoramic video. United States: N. p., 2018.
Web. doi:10.1016/j.nima.2018.08.085.
Romano, Catherine E., Bandstra, Mark S., Quiter, Brian, Bilton, Kyle J., Joshi, Tenzing H.Y., Meyer, Ross, Negut, Victor, Vetter, Kai, Archer, Daniel E., Hornback, Donald Eric, Peplow, Douglas E., Swinney, Mathew, McCullough, Thomas, & McLean, Lance. Attribution of gamma-ray background collected by a mobile detector system to its surroundings using panoramic video. United States. https://doi.org/10.1016/j.nima.2018.08.085
Romano, Catherine E., Bandstra, Mark S., Quiter, Brian, Bilton, Kyle J., Joshi, Tenzing H.Y., Meyer, Ross, Negut, Victor, Vetter, Kai, Archer, Daniel E., Hornback, Donald Eric, Peplow, Douglas E., Swinney, Mathew, McCullough, Thomas, and McLean, Lance. Mon .
"Attribution of gamma-ray background collected by a mobile detector system to its surroundings using panoramic video". United States. https://doi.org/10.1016/j.nima.2018.08.085. https://www.osti.gov/servlets/purl/1606659.
@article{osti_1606659,
title = {Attribution of gamma-ray background collected by a mobile detector system to its surroundings using panoramic video},
author = {Romano, Catherine E. and Bandstra, Mark S. and Quiter, Brian and Bilton, Kyle J. and Joshi, Tenzing H.Y. and Meyer, Ross and Negut, Victor and Vetter, Kai and Archer, Daniel E. and Hornback, Donald Eric and Peplow, Douglas E. and Swinney, Mathew and McCullough, Thomas and McLean, Lance},
abstractNote = {Mobile radiation detector systems are important tools for detecting radiological and nuclear sources outside of regulatory control, but due to their mobility, they are subject to complex and varying backgrounds in most realistic operational scenarios. Recent work has found correlations between non-radiological contextual information and gamma-ray spectral features that can be used to decrease false alarm rates, however a more complete understanding of background source terms has been elusive. A measurement campaign developed a full radiological characterization of a controlled facility that roughly corresponded to two city blocks. As part of the campaign, the Radiological Multi-sensor Analysis Platform (RadMAP) collected extensive multi-sensor data. In this work, RadMAP’s panoramic video data were used to visually identify several different materials and quantify the detector response to each material. A linear model was fit between the material responses and radiological features, and the results demonstrate reasonable agreement with ground truth flux measurements for each material. This paper will describe the data collection, processing, and analysis of the gamma-ray and video data from RadMAP. The paper will conclude with perspectives on the applicability of such a method to less controlled environments both with respect to achieving better understanding the sources of variability of background radiation in urban environments and whether such methods could be leveraged in operational scenarios.},
doi = {10.1016/j.nima.2018.08.085},
journal = {Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment},
number = C,
volume = 954,
place = {United States},
year = {Mon Sep 03 00:00:00 EDT 2018},
month = {Mon Sep 03 00:00:00 EDT 2018}
}
Web of Science
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