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Title: A new method for imaging nuclear threats using cosmic ray muons

Journal Article · · AIP Advances
DOI:https://doi.org/10.1063/1.4820349· OSTI ID:22220459
; ; ; ; ; ; ;  [1]; ; ;  [2];  [3];  [4]
  1. Los Alamos National Laboratory, Los Alamos, NM 87545 (United States)
  2. National Security Technologies, Los Alamos, NM 87544 (United States)
  3. Lawrence Berkeley National Laboratory, Berkeley, CA 94720 (United States)
  4. Southern Methodist University, Dallas, TX 75205 (United States)

Muon tomography is a technique that uses cosmic ray muons to generate three dimensional images of volumes using information contained in the Coulomb scattering of the muons. Advantages of this technique are the ability of cosmic rays to penetrate significant overburden and the absence of any additional dose delivered to subjects under study above the natural cosmic ray flux. Disadvantages include the relatively long exposure times and poor position resolution and complex algorithms needed for reconstruction. Here we demonstrate a new method for obtaining improved position resolution and statistical precision for objects with spherical symmetry.

OSTI ID:
22220459
Journal Information:
AIP Advances, Vol. 3, Issue 8; Other Information: (c) 2013 © 2013 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution 3.0 Unported License.; Country of input: International Atomic Energy Agency (IAEA); ISSN 2158-3226
Country of Publication:
United States
Language:
English

Cited By (2)

Application of muon tomography to fuel cask monitoring
  • Poulson, Dan; Bacon, Jeff; Durham, Matt
  • Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 377, Issue 2137 https://doi.org/10.1098/rsta.2018.0052
journal December 2018
Imaging the dome of Santa Maria del Fiore using cosmic rays
  • Guardincerri, E.; Bacon, J. D.; Barros, N.
  • Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol. 377, Issue 2137 https://doi.org/10.1098/rsta.2018.0136
journal December 2018