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Novel muon imaging techniques.

Guangliang Yang^1,2, Tony Clarkson^3,2, Simon Gardner^3,2

¹School of Physics and Astronomy, University of Glasgow, Glasgow G12 8QQ, UK guangliang.yang@glasgow.ac.uk.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences

|December 12, 2018

Summary

This summary is machine-generated.

Cosmic ray muon imaging offers a non-destructive way to see inside large objects, like volcanoes or spent fuel casks. This review covers muon absorption and scattering imaging principles and applications.

Keywords:

image reconstruction algorithm inverse problem muon imaging

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Area of Science:

Physics
Geophysics
Nuclear Engineering

Background:

Muon imaging leverages the high penetrating power of cosmic ray muons for non-invasive inspection.
Similar to medical CT scanners, muon imaging reveals internal structures of dense or shielded objects.

Purpose of the Study:

To review the principles of muon imaging techniques.
To discuss image reconstruction algorithms for muon imaging.
To demonstrate muon imaging capabilities for spent fuel casks.

Main Methods:

Muon absorption imaging: based on muon flux attenuation.
Muon multiple scattering imaging: based on muon scattering in matter.
Geant4 simulation study for imaging nuclear spent fuel casks.

Main Results:

Muon absorption imaging is suitable for large-scale objects (volcanoes, buildings) and smaller ones (spent fuel casks).
Muon multiple scattering imaging is optimal for smaller objects like nuclear waste containers.
Simulations validated the potential of muon imaging for spent fuel cask inspection.

Conclusions:

Muon imaging techniques are versatile, applicable to diverse fields from volcanology to nuclear safeguards.
The principles and algorithms of muon imaging are crucial for advancing non-destructive testing.
Further research and simulation studies, like the one presented, enhance the practical application of muon imaging.