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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MDPI AG
2020-12-01
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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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language | English |
last_indexed | 2024-03-10T13:54:53Z |
publishDate | 2020-12-01 |
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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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