Optimization of the LaBr3 detector model using differential evolution algorithms; Applied Radiation and Isotopes; Vol. 221

Opis bibliograficzny
Parent link:Applied Radiation and Isotopes.— .— Amsterdam: Elsevier Science Publishing Company Inc.
Vol. 221.— 2025.— Article number 111841, 7 p.
Kolejni autorzy: Prozorova I. V. Irina Valentinovna, Sabitova R. Radmila, Bedenko S. V. Sergey Vladimirovich, Irkimbekov R. A. Ruslan Aleksandrovich, Popov Yu. A. Yuriy Anatolevich, Svetachev S. N. Stanislav Nikolaevich, Samarkhanov K. K. Kuanysh Kanatuly
Streszczenie:Title screen
In gamma-ray spectrometry, computational detector model allows determining absolute detector efficiency for non-standard sources with varying chemical compositions in the absence of volumetric calibration standards. This study focuses on developing a computational model of a LaBr3(Ce) 1.5" × 1.5″ scintillation detector based on characterization data. The detector was characterized using 137Cs and 152Eu point calibration sources placed at various positions relative to the detector cap. Modeling was performed using the MCNP6 code based on the Monte Carlo method. The initial modeling results revealed deviations between the calculated and experimental detector responses, which required model optimization. Optimization of the detector parameters was carried out using differential evolution algorithms. To verify the optimized LaBr3 model, studies were conducted with a volumetric KCl source. The deviations between the calculated and experimental results fell within the error limits
Текстовый файл
AM_Agreement
Język:angielski
Wydane: 2025
Hasła przedmiotowe:
Dostęp online:https://doi.org/10.1016/j.apradiso.2025.111841
Format: Elektroniczne Rozdział
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=682677

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