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A Protocol for Real-time 3D Single Particle Tracking

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Published on: January 3, 2018

GIPPE-RPT: Geant4 interface for particle physics experiments applied to Radioactive Particle Tracking.

Guilherme Anrain Lindner¹, Sanja Mišković¹

¹Norman B. Keevil Institute of Mining Engineering, The University of British Columbia, Vancouver, V6T 1Z4, BC, Canada.

Applied Radiation and Isotopes : Including Data, Instrumentation and Methods for Use in Agriculture, Industry and Medicine

|December 16, 2021

Summary

This study introduces GIPPE-RPT, user-friendly software for Radioactive Particle Tracking (RPT) simulations. It simplifies complex RPT experiments, enhancing accessibility and enabling detailed analysis of reactor dynamics.

Keywords:

CFD Geant4 High energy physics simulations Monte Carlo simulations Particle trajectory reconstruction Radioactive Particle Tracking

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Last Updated: Oct 9, 2025

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Area of Science:

Nuclear Engineering
Computational Physics
Chemical Engineering

Background:

Radioactive Particle Tracking (RPT) is a versatile, non-invasive technique for monitoring radionuclide movement.
Wider adoption of RPT is hindered by the lack of specialized, user-friendly software.
Existing methods require complex setups and lack integrated simulation capabilities.

Purpose of the Study:

Introduce GIPPE-RPT, a novel software solution to democratize RPT.
Provide a graphical user interface for creating, executing, and analyzing RPT simulations.
Integrate Computational Fluid Dynamics (CFD) with Geant4-based RPT simulations for improved accuracy.

Main Methods:

Developed GIPPE-RPT with a graphical user interface for parameter specification (geometry, materials, detectors, tracer).
Integrated OpenFOAM for CFD simulations to model density profiles.
Utilized Geant4 for high-energy physics simulations of RPT experiments.
Demonstrated workflow using a virtual NETL SSCP-I fluidized bed reactor.

Main Results:

GIPPE-RPT enables detailed RPT experiment setup, including domain design, tracer selection, detector placement, and calibration.
Compared the performance of six position reconstruction methods within GIPPE-RPT.
Showcased the benefits of simulating heterogeneous density profiles, reducing reconstruction errors compared to homogeneous media.

Conclusions:

GIPPE-RPT significantly lowers the barrier to entry for RPT technique utilization.
The software facilitates optimization through comparison of multiple simulation configurations.
Integration of CFD and Geant4 enhances the accuracy and applicability of RPT in complex systems.