Gamma-Ray Spectral Unfolding of CdZnTe-Based Detectors Using a Genetic Algorithm

The analysis of <inline-formula><math display="inline"><semantics><mi>γ</mi></semantics></math></inline-formula>-ray spectra can be an arduous task, especially in the case of room temperature semiconductor detectors, where several distortions...

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Main Authors: Nicola Sarzi Amadè, Manuele Bettelli, Nicola Zambelli, Silvia Zanettini, Giacomo Benassi, Andrea Zappettini
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/24/7316
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author Nicola Sarzi Amadè
Manuele Bettelli
Nicola Zambelli
Silvia Zanettini
Giacomo Benassi
Andrea Zappettini
author_facet Nicola Sarzi Amadè
Manuele Bettelli
Nicola Zambelli
Silvia Zanettini
Giacomo Benassi
Andrea Zappettini
author_sort Nicola Sarzi Amadè
collection DOAJ
description The analysis of <inline-formula><math display="inline"><semantics><mi>γ</mi></semantics></math></inline-formula>-ray spectra can be an arduous task, especially in the case of room temperature semiconductor detectors, where several distortions and instrumental artifacts conceal the true spectral shape. We developed a genetic algorithm to perform the unfolding of <inline-formula><math display="inline"><semantics><mi>γ</mi></semantics></math></inline-formula>-spectra in order to restore the true energy distribution of the incoming radiation. We successfully validated our approach on experimental spectra of four radionuclides (<inline-formula><math display="inline"><semantics><msup><mrow></mrow><mn>241</mn></msup></semantics></math></inline-formula>Am, <inline-formula><math display="inline"><semantics><msup><mrow></mrow><mn>57</mn></msup></semantics></math></inline-formula>Co, <inline-formula><math display="inline"><semantics><msup><mrow></mrow><mn>137</mn></msup></semantics></math></inline-formula>Cs and <inline-formula><math display="inline"><semantics><msup><mrow></mrow><mn>133</mn></msup></semantics></math></inline-formula>Ba) acquired with two <inline-formula><math display="inline"><semantics><mi>CdZnTe</mi></semantics></math></inline-formula>-based detectors with different contact geometries (single pixel and drift strip). The unfolded spectra consist of <inline-formula><math display="inline"><semantics><mi>δ</mi></semantics></math></inline-formula>-like peaks in correspondence with the radiation emissions of each radioisotope.
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spelling doaj.art-0cc9e3ee8c5040a4ae5cba0212ae7a942023-11-21T01:41:27ZengMDPI AGSensors1424-82202020-12-012024731610.3390/s20247316Gamma-Ray Spectral Unfolding of CdZnTe-Based Detectors Using a Genetic AlgorithmNicola Sarzi Amadè0Manuele Bettelli1Nicola Zambelli2Silvia Zanettini3Giacomo Benassi4Andrea Zappettini5IMEM/CNR, Parco Area Delle Scienze 37/A, 43100 Parma, ItalyIMEM/CNR, Parco Area Delle Scienze 37/A, 43100 Parma, Italydue2lab s.r.l., Via Paolo Borsellino 2, Scandiano, 42019 Reggio Emilia, Italydue2lab s.r.l., Via Paolo Borsellino 2, Scandiano, 42019 Reggio Emilia, Italydue2lab s.r.l., Via Paolo Borsellino 2, Scandiano, 42019 Reggio Emilia, ItalyIMEM/CNR, Parco Area Delle Scienze 37/A, 43100 Parma, ItalyThe analysis of <inline-formula><math display="inline"><semantics><mi>γ</mi></semantics></math></inline-formula>-ray spectra can be an arduous task, especially in the case of room temperature semiconductor detectors, where several distortions and instrumental artifacts conceal the true spectral shape. We developed a genetic algorithm to perform the unfolding of <inline-formula><math display="inline"><semantics><mi>γ</mi></semantics></math></inline-formula>-spectra in order to restore the true energy distribution of the incoming radiation. We successfully validated our approach on experimental spectra of four radionuclides (<inline-formula><math display="inline"><semantics><msup><mrow></mrow><mn>241</mn></msup></semantics></math></inline-formula>Am, <inline-formula><math display="inline"><semantics><msup><mrow></mrow><mn>57</mn></msup></semantics></math></inline-formula>Co, <inline-formula><math display="inline"><semantics><msup><mrow></mrow><mn>137</mn></msup></semantics></math></inline-formula>Cs and <inline-formula><math display="inline"><semantics><msup><mrow></mrow><mn>133</mn></msup></semantics></math></inline-formula>Ba) acquired with two <inline-formula><math display="inline"><semantics><mi>CdZnTe</mi></semantics></math></inline-formula>-based detectors with different contact geometries (single pixel and drift strip). The unfolded spectra consist of <inline-formula><math display="inline"><semantics><mi>δ</mi></semantics></math></inline-formula>-like peaks in correspondence with the radiation emissions of each radioisotope.https://www.mdpi.com/1424-8220/20/24/7316gamma spectrumunfolding algorithmgenetic algorithm
spellingShingle Nicola Sarzi Amadè
Manuele Bettelli
Nicola Zambelli
Silvia Zanettini
Giacomo Benassi
Andrea Zappettini
Gamma-Ray Spectral Unfolding of CdZnTe-Based Detectors Using a Genetic Algorithm
Sensors
gamma spectrum
unfolding algorithm
genetic algorithm
title Gamma-Ray Spectral Unfolding of CdZnTe-Based Detectors Using a Genetic Algorithm
title_full Gamma-Ray Spectral Unfolding of CdZnTe-Based Detectors Using a Genetic Algorithm
title_fullStr Gamma-Ray Spectral Unfolding of CdZnTe-Based Detectors Using a Genetic Algorithm
title_full_unstemmed Gamma-Ray Spectral Unfolding of CdZnTe-Based Detectors Using a Genetic Algorithm
title_short Gamma-Ray Spectral Unfolding of CdZnTe-Based Detectors Using a Genetic Algorithm
title_sort gamma ray spectral unfolding of cdznte based detectors using a genetic algorithm
topic gamma spectrum
unfolding algorithm
genetic algorithm
url https://www.mdpi.com/1424-8220/20/24/7316
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