RadMAP: The Radiological Multi-sensor Analysis Platform

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

Research output: Contribution to journalArticlepeer-review


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. In this paper 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.

Original languageEnglish (US)
Pages (from-to)59-68
Number of pages10
JournalNuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
StatePublished - Dec 21 2016
Externally publishedYes


  • Background radiation
  • Data fusion
  • Gamma-ray detection
  • Gamma-ray imaging
  • Homeland security
  • Radiological search

ASJC Scopus subject areas

  • Nuclear and High Energy Physics
  • Instrumentation


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