Bayesian optimization of a collimated HPGe detector model for Segmented Gamma Scanning

Victor Casas Molina; Eric Laloy; Bart Rogiers; Tom Dhaene; Ivo Couckuyt

doi:10.1016/j.nima.2024.169687

Bayesian optimization of a collimated HPGe detector model for Segmented Gamma Scanning

Victor Casas Molina, Eric Laloy, Bart Rogiers, Tom Dhaene, Ivo Couckuyt

Engineered and Geosystems Analysis

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Abstract

Segmented Gamma Scanning (SGS) is an important technique for quantifying gamma-emitting isotopes in radioactive waste packages. Collimated High-Purity Germanium (HPGe) detectors are commonly employed due to their superior resolution. However, calibrating HPGe detectors equipped with complex collimators poses challenges, especially regarding the modeling of the spatial response of the detector. This work introduces a calibration methodology for the Full Energy Peak Efficiency (FEPE) of HPGe detectors equipped with variable aperture collimators using Bayesian optimization to handle their complex geometries. The method and the model were then validated for the full range of application of the detector-collimator arrangement using experimental FEPE measurements, demonstrating the model’s potential for accurate SGS simulations.

Original language	English
Article number	169687
Number of pages	13
Journal	Nuclear Inst. and Methods in Physics Research, A
Volume	1067
DOIs	https://doi.org/10.1016/j.nima.2024.169687
State	Published - 1 Oct 2024

ASJC Scopus subject areas

Nuclear and High Energy Physics
Instrumentation

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Cite this

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title = "Bayesian optimization of a collimated HPGe detector model for Segmented Gamma Scanning",

abstract = "Segmented Gamma Scanning (SGS) is an important technique for quantifying gamma-emitting isotopes in radioactive waste packages. Collimated High-Purity Germanium (HPGe) detectors are commonly employed due to their superior resolution. However, calibrating HPGe detectors equipped with complex collimators poses challenges, especially regarding the modeling of the spatial response of the detector. This work introduces a calibration methodology for the Full Energy Peak Efficiency (FEPE) of HPGe detectors equipped with variable aperture collimators using Bayesian optimization to handle their complex geometries. The method and the model were then validated for the full range of application of the detector-collimator arrangement using experimental FEPE measurements, demonstrating the model{\textquoteright}s potential for accurate SGS simulations.",

keywords = "HPGe detector, Segmented gamma scanning, Bayesian optimization, Collimator, Dead layer, PHITS, Segmented Gamma Scanning",

author = "{Casas Molina}, Victor and Eric Laloy and Bart Rogiers and Tom Dhaene and Ivo Couckuyt",

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doi = "10.1016/j.nima.2024.169687",

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T1 - Bayesian optimization of a collimated HPGe detector model for Segmented Gamma Scanning

AU - Casas Molina, Victor

AU - Laloy, Eric

AU - Rogiers, Bart

AU - Dhaene, Tom

AU - Couckuyt, Ivo

PY - 2024/10/1

Y1 - 2024/10/1

N2 - Segmented Gamma Scanning (SGS) is an important technique for quantifying gamma-emitting isotopes in radioactive waste packages. Collimated High-Purity Germanium (HPGe) detectors are commonly employed due to their superior resolution. However, calibrating HPGe detectors equipped with complex collimators poses challenges, especially regarding the modeling of the spatial response of the detector. This work introduces a calibration methodology for the Full Energy Peak Efficiency (FEPE) of HPGe detectors equipped with variable aperture collimators using Bayesian optimization to handle their complex geometries. The method and the model were then validated for the full range of application of the detector-collimator arrangement using experimental FEPE measurements, demonstrating the model’s potential for accurate SGS simulations.

AB - Segmented Gamma Scanning (SGS) is an important technique for quantifying gamma-emitting isotopes in radioactive waste packages. Collimated High-Purity Germanium (HPGe) detectors are commonly employed due to their superior resolution. However, calibrating HPGe detectors equipped with complex collimators poses challenges, especially regarding the modeling of the spatial response of the detector. This work introduces a calibration methodology for the Full Energy Peak Efficiency (FEPE) of HPGe detectors equipped with variable aperture collimators using Bayesian optimization to handle their complex geometries. The method and the model were then validated for the full range of application of the detector-collimator arrangement using experimental FEPE measurements, demonstrating the model’s potential for accurate SGS simulations.

KW - HPGe detector

KW - Segmented gamma scanning

KW - Bayesian optimization

KW - Collimator

KW - Dead layer

KW - PHITS

KW - Segmented Gamma Scanning

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