RadMAP: The Radiological Multi-sensor Analysis Platform

Bandstra, Mark S.; Aucott, Timothy J.; Brubaker, Erik; Chivers, Daniel H.; Cooper, Reynold J.; Curtis, Joseph C.; Davis, John R.; Joshi, Tenzing H.; Kua, John; Meyer, Ross; Negut, Victor; Quinlan, Michael; Quiter, Brian J.; Srinivasan, Shreyas; Zakhor, Avideh; Zhang, Richard; Vetter, Kai

doi:10.1016/j.nima.2016.09.040

RadMAP: The Radiological Multi-sensor Analysis Platform

Journal Article · Tue Sep 20 00:00:00 EDT 2016 · Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment

DOI:https://doi.org/10.1016/j.nima.2016.09.040· OSTI ID:1543576

Bandstra, Mark S. ^[1]; Aucott, Timothy J. ^[2]; Brubaker, Erik ^[3]; Chivers, Daniel H. ^[1]; Cooper, Reynold J. ^[1]; Curtis, Joseph C. ^[4]; Davis, John R. ^[2]; Joshi, Tenzing H. ^[1]; Kua, John ^[1]; Meyer, Ross ^[1]; Negut, Victor ^[1]; Quinlan, Michael ^[1]; Quiter, Brian J. ^[1]; Srinivasan, Shreyas ^[2]; Zakhor, Avideh ^[2]; Zhang, Richard ^[2]; Vetter, Kai ^[4]

Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). Nuclear Science Division
University of California, Berkeley, CA (United States)
Sandia National Laboratory (SNL-CA), Livermore, CA (United States)
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). Nuclear Science Division; University of California, Berkeley, CA (United States)

The variability of gamma-ray and neutron background during the operation of a mobile detector system greatly limits the ability of the system to detect weak radiological and nuclear threats. The natural radiation background measured by a mobile detector system is the result of many factors, including the radioactivity of nearby materials, the geometric configuration of those materials and the system, the presence of absorbing materials, and atmospheric conditions. Background variations tend to be highly non-Poissonian, making it difficult to set robust detection thresholds using knowledge of the mean background rate alone. The Radiological Multi-sensor Analysis Platform (RadMAP) system is designed to allow the systematic study of natural radiological background variations and to serve as a development platform for emerging concepts in mobile radiation detection and imaging. To do this, RadMAP has been used to acquire extensive, systematic background measurements and correlated contextual data that can be used to test algorithms and detector modalities at low false alarm rates. By combining gamma-ray and neutron detector systems with data from contextual sensors, the system enables the fusion of data from multiple sensors into novel data products. The data are curated in a common format that allows for rapid querying across all sensors, creating detailed multi-sensor datasets that are used to study correlations between radiological and contextual data, and develop and test novel techniques in mobile detection and imaging. Here we will describe the instruments that comprise the RadMAP system, the effort to curate and provide access to multi-sensor data, and some initial results on the fusion of contextual and radiological data.

View Accepted Manuscript (DOE)

Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC); Sandia National Laboratories (SNL-CA), Livermore, CA (United States)

Sponsoring Organization:: US Department of Homeland Security; USDOE; USDOE Office of Science (SC)

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1543576

Alternate ID(s):: OSTI ID: 22631891
OSTI ID: 1397748

Journal Information:: Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment, Journal Name: Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment Journal Issue: C Vol. 840; ISSN 0168-9002

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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