Version 1
: Received: 7 August 2024 / Approved: 7 August 2024 / Online: 8 August 2024 (08:05:33 CEST)
How to cite:
Özuygur, M. C.; Özkorucuklu, S. GEANT4 Simulation of a Muon Tomography Station Using Novel and Simple Reconstruction Algorithm for Homeland Security Application. Preprints2024, 2024080557. https://doi.org/10.20944/preprints202408.0557.v1
Özuygur, M. C.; Özkorucuklu, S. GEANT4 Simulation of a Muon Tomography Station Using Novel and Simple Reconstruction Algorithm for Homeland Security Application. Preprints 2024, 2024080557. https://doi.org/10.20944/preprints202408.0557.v1
Özuygur, M. C.; Özkorucuklu, S. GEANT4 Simulation of a Muon Tomography Station Using Novel and Simple Reconstruction Algorithm for Homeland Security Application. Preprints2024, 2024080557. https://doi.org/10.20944/preprints202408.0557.v1
APA Style
Özuygur, M. C., & Özkorucuklu, S. (2024). GEANT4 Simulation of a Muon Tomography Station Using Novel and Simple Reconstruction Algorithm for Homeland Security Application. Preprints. https://doi.org/10.20944/preprints202408.0557.v1
Chicago/Turabian Style
Özuygur, M. C. and Suat Özkorucuklu. 2024 "GEANT4 Simulation of a Muon Tomography Station Using Novel and Simple Reconstruction Algorithm for Homeland Security Application" Preprints. https://doi.org/10.20944/preprints202408.0557.v1
Abstract
Muon tomography leverages cosmic muons’ exceptional penetration capabilities to reconstruct detailed tomographic images via multiple Coulomb scattering interactions, making it invaluable for detecting High-Z materials critical to homeland security. This study introduces the Slope Intercept (SI) algorithm, a novel approach for rapid and precise tomographic image reconstruction. Implemented using Geant4 simulations in a standard-sized container tomography station, SI demonstrates superior performance in speed and simplicity compared to traditional methods. While the imaging results of SI and the Point of Closest Approach (POCA) algorithm are nearly identical, the SI algorithm is simpler to implement, requires shorter CPU time, and exhibits a smaller margin of error. Its computational efficiency and simplicity make it a robust alternative to the POCA algorithm. These findings highlight SI’s suitability for applications demanding robust imaging and efficient data processing, which are crucial for advancing security measures and scientific research.
Keywords
Particle tracking detectors; Simulation methods; Geant4; Point of Closest Approach; Slope and Intercept; Image reconstruction
Subject
Physical Sciences, Radiation and Radiography
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
