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Gamma-Ray Spectral Unfolding of CdZnTe-Based Detectors Using a Genetic Algorithm
The analysis of [Formula: see text]-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 [Formula: see...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7765827/ https://www.ncbi.nlm.nih.gov/pubmed/33352753 http://dx.doi.org/10.3390/s20247316 |
Sumario: | The analysis of [Formula: see text]-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 [Formula: see text]-spectra in order to restore the true energy distribution of the incoming radiation. We successfully validated our approach on experimental spectra of four radionuclides ([Formula: see text] Am, [Formula: see text] Co, [Formula: see text] Cs and [Formula: see text] Ba) acquired with two [Formula: see text]-based detectors with different contact geometries (single pixel and drift strip). The unfolded spectra consist of [Formula: see text]-like peaks in correspondence with the radiation emissions of each radioisotope. |
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