Computational models to quantify uncertain emergency search techniques -- A comparison of measured and synthetic gamma-ray detector response functions

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Description

As recent world events show, criminal and terrorist access to nuclear materials is a growing national concern. The national laboratories have developed quantitative models to simulate the response of detection equipment when looking for lost or stolen nuclear material. SYNTH, a code written to synthesize typical gamma-ray spectroscopy experiments, and QUEST, a model to Quantify Uncertain Emergency Search Techniques, calculate the response functions of gamma-ray detectors for arbitrary source types and shielding configurations. In addition, QUEST provides an interactive, three-dimensional user interface supporting the virtual quest for nuclear materials, making possible quantitative comparisons of various sensor technologies and inspection methodologies. ... continued below

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7 p.

Creation Information

Johnson, M.M.; Goldsby, M.E.; Wilcox, W.B.; Hensley, W.K. & Hansen, R.G. November 1, 1997.

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  • Sandia National Laboratories
    Publisher Info: Sandia National Labs., Livermore, CA (United States)
    Place of Publication: Livermore, California

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Description

As recent world events show, criminal and terrorist access to nuclear materials is a growing national concern. The national laboratories have developed quantitative models to simulate the response of detection equipment when looking for lost or stolen nuclear material. SYNTH, a code written to synthesize typical gamma-ray spectroscopy experiments, and QUEST, a model to Quantify Uncertain Emergency Search Techniques, calculate the response functions of gamma-ray detectors for arbitrary source types and shielding configurations. In addition, QUEST provides an interactive, three-dimensional user interface supporting the virtual quest for nuclear materials, making possible quantitative comparisons of various sensor technologies and inspection methodologies. The probability of detecting a radioactive source during an inspection is a function of many different variables, including source type, structure geometry (including shielding), inspection dynamics (path and speed), detector (type, size, and resolution), and analysis algorithms. The authors present the results of their study comparing the synthetic Sodium Iodide (NaI) and Germanium (Ge) detector responses generated by both SYNTH and QUEST with those generated by real detectors deployed in the field. Quantitative models, such as the ones presented here, are important since they, (1) allow inspection teams to maximize the probability of finding materials of interest, (2) aid in the development of new instruments and detection techniques, and (3) support other diverse applications including environmental monitoring, nuclear facilities inspections, and radiation safety responder training.

Physical Description

7 p.

Notes

INIS; OSTI as DE97054447

Source

  • 38. annual meeting of the Institute of Nuclear Materials management, Phoenix, AZ (United States), 20-24 Jul 1997

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  • Other: DE97054447
  • Report No.: SAND--97-8653C
  • Report No.: CONF-970744--
  • Grant Number: AC04-94AL85000;AC06-76RL01830;AC08-96NV11718
  • DOI: 10.2172/554826 | External Link
  • Office of Scientific & Technical Information Report Number: 554826
  • Archival Resource Key: ark:/67531/metadc691685

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

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  • November 1, 1997

Added to The UNT Digital Library

  • Aug. 14, 2015, 8:43 a.m.

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  • April 12, 2016, 8:24 p.m.

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Johnson, M.M.; Goldsby, M.E.; Wilcox, W.B.; Hensley, W.K. & Hansen, R.G. Computational models to quantify uncertain emergency search techniques -- A comparison of measured and synthetic gamma-ray detector response functions, report, November 1, 1997; Livermore, California. (digital.library.unt.edu/ark:/67531/metadc691685/: accessed April 23, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.