<  Back to the Polytechnique Montréal portal

An improved position reconstruction method for radioactive particle tracking

Ghazaleh Mirakhori, Audrey Collard-Daigneault, Amishga Alphonius, Jocelyn Doucet, Bruno Blais and Jamal Chaouki

Article (2023)

Open Access document in PolyPublie
[img]
Preview
Open Access to the full text of this document
Accepted Version
Terms of Use: Creative Commons Attribution Non-commercial No Derivatives
Download (2MB)
Show abstract
Hide abstract

Abstract

This work introduces a novel reconstruction method exploiting the inverse of Finite Element Method (FEM) to reconstruct positions from ray tracing experimental measurement such as those obtained by radioactive particle tracking. FEM based Position Reconstruction (FEM-PR) relies on shape function evaluation within simplex elements (i.a tetrahedron) for position reconstruction using a mean-square problem, which has proven to be robust, accurate, and fast. Tracer positions are reconstructed under the condition that least-squares compatibility is maintained between experimental counts and interpolated values within inverse elements. This approach is implemented in a module within the open-source software, Lethe-RPT, enabling user to carry out radioactive particle tracking (RPT) experiments from calibration to tracer position reconstruction. The test benchmark and experimental setup are described. For the same test cases, the reconstruction error is investigated using an increasing number of inverse elements and Monte Carlo (MC) iterations. The accuracy and robustness of FEM-PR concerning the inevitable measurement errors due to calibration, measurement systems, and the quantized nature of γ-rays is demonstrated. This approach provides a new view for immediate and precise position reconstruction. FEM-PR reconstructs the tracer position with an accuracy of 0.08 mm. Approximately 3.37 ms is required to reconstruct one position on a desktop computer, which is less than the sampling time for experimental data collection.

Uncontrolled Keywords

Department: Department of Chemical Engineering
Research Center: PEARL - Process Engineering Advanced Research Lab
URPEI - Research Center in Industrial Flow Processes
Funders: NSERC
Grant number: RGPIN-2020-04510, CRC-2022-00340
PolyPublie URL: https://publications.polymtl.ca/54642/
Journal Title: Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment (vol. 1055)
Publisher: Elsevier
DOI: 10.1016/j.nima.2023.168504
Official URL: https://doi.org/10.1016/j.nima.2023.168504
Date Deposited: 30 Aug 2023 10:31
Last Modified: 06 Nov 2025 16:24
Cite in APA 7: Mirakhori, G., Collard-Daigneault, A., Alphonius, A., Doucet, J., Blais, B., & Chaouki, J. (2023). An improved position reconstruction method for radioactive particle tracking. Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 1055, 168504 (9 pages). https://doi.org/10.1016/j.nima.2023.168504

Statistics

Total downloads

Downloads per month in the last year

Origin of downloads

Dimensions

Repository Staff Only

View Item View Item