Algorithms for Achieving Subpixel Resolution in Muon Tomography

TL;DR

This paper demonstrates that machine learning techniques significantly improve the accuracy of particle position reconstruction in scintillation-based detectors used in muon tomography.

Contribution

It introduces machine learning algorithms as a novel approach to enhance subpixel resolution in muon tomography detectors.

Findings

Machine learning outperforms traditional methods in position accuracy

Improved resolution enables better imaging in muon tomography

Potential for more precise detection in practical applications

Abstract

We show that machine learning methods produce superior particle position reconstruction accuracy in scintillation-based detectors.