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Updated: Oct 3, 2025

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GEANT4 Simulation for Radioactive Particle Tracking (RPT) Technique.

Ahmed A Alghamdi1, Thaar M Aljuwaya1,2, Abdullah S Alomari1

  • 1Nuclear Science Research Institute, King Abdulaziz City for Science and Technology (KACST), Riyadh 11442, Saudi Arabia.

Sensors (Basel, Switzerland)
|February 15, 2022
PubMed
Summary

This study simulates radioactive particle tracking (RPT) calibration using GEANT4, improving multiphase flow visualization accuracy. The GEANT4 model accurately predicts detector counts, validating its use for RPT calibration in industrial applications.

Keywords:
Monte Carlo simulationlocalization and object trackingradiation detectorradioactive particle tracking (RPT)radiotracer

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Area of Science:

  • Nuclear Engineering
  • Fluid Dynamics
  • Computational Physics

Background:

  • Radioactive particle tracking (RPT) is vital for multiphase flow visualization.
  • RPT accuracy relies heavily on calibration, which faces experimental and simulation limitations.
  • Classical Monte Carlo methods have constraints in simulating RPT detector counts.

Purpose of the Study:

  • To develop and validate a GEANT4-based Monte Carlo simulation for RPT calibration.
  • To enhance the accuracy of RPT data for multiphase flow systems.
  • To overcome limitations of classical RPT calibration approaches.

Main Methods:

  • Applied GEANT4 Monte Carlo code to simulate RPT calibration for a gas-liquid bubble column.
  • Simulated counts for 28 scintillation detectors across 931 tracer positions.
  • Accounted for all photon interactions and addressed solid angle limitations.

Main Results:

  • GEANT4 simulation results showed good agreement with experimental data (max 5% deviation).
  • The model accurately predicted detector counts for known tracer positions.
  • Overestimation of counts occurred with non-optimal primary event numbers in the simulation.

Conclusions:

  • GEANT4 provides a reliable tool for simulating RPT calibration processes.
  • The validated model enhances the accuracy and applicability of RPT in industrial multiphase flows.
  • Optimizing simulation parameters is crucial for precise RPT calibration.