Stopping Power Simulation for Use in Muon Tomography

  • Ishbel Jamieson Department of Physics, University of Oxford, Oxford, UK
  • Alan D Bross Fermi National Accelerator Laboratory, P.O. Box 500, Batavia, IL, USA
  • E. C. Dukes Physics Department, University of Virginia, Charlottesville, VA, USA
  • Ralf Ehrlich Physics Department, University of Virginia, Charlottesville, VA, USA
  • Eric Fernandez Physics Department, University of Virginia, Charlottesville, VA, USA
  • Sophie Dukes Virginia Tech University, Blacksburg, WV, USA
  • Mohamed Gobashy Geophysics Department, Faculty of Science, Cairo University, Cairo, Egypt
  • Patrick J La Rivi`ere Department of Radiology, University of Chicago, Chicago, IL USA
  • Gregory Marouard Department of Near Eastern Languages & Civilizations Yale University, New Haven, CT, USA
  • Nadine Moeller Department of Near Eastern Languages & Civilizations Yale University, New Haven, CT, USA
  • Anna Pla-Dalmau Department of Physics, University of Oxford, Oxford, UK
  • Paul Rubinov Department of Physics, University of Oxford, Oxford, UK
  • Omar Shohoud Department of Physics, University of Chicago, Chicago, IL USA
  • Phillip Vargas Department of Radiology, University of Chicago, Chicago, IL, USA
  • Tabitha Welch Department of Physics, University of Chicago, Chicago, IL, USA
DOI: https://doi.org/10.31526/jais.2022.281
Keywords: stopping power, muon tomography

Abstract

The field of muon tomography has developed rapidly over recent years. It has seen broad-ranging applications, from archaeology to nuclear waste management. The technique relies upon the varying attenuation of muons passing through materials, parameterized by the stopping power – the energy lost by the muon per unit distance traveled – and is intrinsic to the material itself. As this is an inverse problem, it is important that the reconstruction is particularly sensitive to this function to correctly identify the material itself. It is the aim of this paper to outline an efficient, closed-form simulation of the stopping power for compound materials that, by design, allows for user-friendly application to most materials.

Published
2022-06-18
How to Cite
[1]
I. Jamieson, “Stopping Power Simulation for Use in Muon Tomography”, Journal of Advanced Instrumentation in Science, vol. 2022, Jun. 2022.
Issue
Volume 2022
Section
International Workshop on Cosmic-Ray Muography (Muography2021), Ghent, Belgium
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