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Related Experiment Video

Updated: Feb 1, 2026

Scattering And Absorption of Light in Planetary Regoliths

Scattering And Absorption of Light in Planetary Regoliths

Published on: July 1, 2019

Muography of different structures using muon scattering and absorption algorithms.

S Vanini¹, P Calvini², P Checchia³

¹Department of Physics and Astronomy "Galileo Galilei", University of Padova, via Marzolo 8, 35131 Padova, Italy sara.vanini@pd.infn.it.

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

|December 12, 2018

Summary

Muon imaging reconstructs density distributions of large, inaccessible structures. A novel μCT method shows promise for inspecting spent nuclear fuel, alongside established algorithms.

Keywords:

absorption cosmic rays image reconstruction maximum-likelihood expectation maximization muon radiography muon tomography

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Published on: October 21, 2018

Area of Science:

Particle Physics and Astrophysics
Applied Physics
Nuclear Engineering

Background:

Muon imaging is a versatile technique for non-invasively inferring density distributions in large, inaccessible structures.
Diverse applications necessitate tailored image reconstruction algorithms, including those for multiple scattering and absorption-transmission data.
Advanced noise-suppression filters and muon momentum estimators are crucial for accurate muon imaging.

Purpose of the Study:

To present successful image reconstruction techniques applied to simulated muon imaging data for representative applications.
To introduce and evaluate a novel muon imaging approach, termed μCT (muon Computed Tomography), for spent nuclear fuel canister inspection.
To compare the performance of μCT with established reconstruction algorithms like maximum-likelihood expectation maximization (MLEM).

Main Methods:

Application of established image reconstruction algorithms to simulated muon imaging datasets.
Development and implementation of a novel μCT reconstruction algorithm.
Analysis of simulated data for spent nuclear fuel canister inspection using both μCT and MLEM.

Main Results:

Demonstrated successful image reconstruction for various representative applications using simulated muon data.
Presented comparative results of the novel μCT method and MLEM for spent nuclear fuel canister inspection.
Validated the effectiveness of the proposed reconstruction techniques in challenging scenarios.

Conclusions:

Muon imaging techniques, including novel approaches like μCT, are effective for density distribution inference in inaccessible structures.
The proposed μCT method shows potential for specialized applications such as spent nuclear fuel inspection.
Further development and application of advanced reconstruction algorithms are vital for advancing muon imaging capabilities.