Developing a 2D position-sensitive detector utilizing the large plate plastic scintillator

This study introduces a novel position-sensitive detector based on plate-shaped plastic scintillator. The detector, consisting of a 50 × 5 × 50 cm plastic scintillator coupled to four photomultiplier tubes, was designed to pinpoint the 2D location of a 137 Cs γ-ray source. A mathematical model was developed to predict the source position based on the ratio of signals from the photomultiplier tubes. Additionally, a machine learning approach using a Multi-Layer Perceptron (MLP) was employed for more automated position prediction. Based on the obtained results, it was found that the mean absolute error for determining the 2D position of the source was 1.3 cm for the mathematical model and 0.5 cm for the trained MLP model. To validate this model, optical simulations were also conducted using the Geant4 Monte Carlo toolkit.

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Publication Details

Journal
Nuclear Engineering and Technology
Published
2024-11-28
DOI
https://doi.org/10.1016/j.net.2024.11.023
Citations
3
Primary Topic
Radiation Detection and Scintillator Technologies
Type
article
Field-Weighted Citation Impact
1.82
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article

Developing a 2D position-sensitive detector utilizing the large plate plastic scintillator

Ali Taheri, Mojtaba Askari, Javad Kochakpour, Seyed Abolfazl Hosseini
3 citations
Nuclear Engineering and Technology
Radiation Detection and Scintillator Technologies
1.82
article

Developing a 2D position-sensitive detector utilizing the large plate plastic scintillator

Ali Taheri, Mojtaba Askari, Javad Kochakpour, Seyed Abolfazl Hosseini
article en
3 citations

Abstract

This study introduces a novel position-sensitive detector based on plate-shaped plastic scintillator. The detector, consisting of a 50 × 5 × 50 cm plastic scintillator coupled to four photomultiplier tubes, was designed to pinpoint the 2D location of a 137 Cs γ-ray source. A mathematical model was developed to predict the source position based on the ratio of signals from the photomultiplier tubes. Additionally, a machine learning approach using a Multi-Layer Perceptron (MLP) was employed for more automated position prediction. Based on the obtained results, it was found that the mean absolute error for determining the 2D position of the source was 1.3 cm for the mathematical model and 0.5 cm for the trained MLP model. To validate this model, optical simulations were also conducted using the Geant4 Monte Carlo toolkit.

Nuclear Engineering and TechnologyVol. 57(4)
Sharif University of Technology (IR), Nuclear Science and Technology Research Institute
Affordable and clean energy
Openalex Percentile: Top 15%
Radiation Detection and Scintillator Technologies
1.82
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