Algorithm for Optimizing the Parameters of Sandwich X-ray Detectors

Bibliographic Details
Parent link:	Russian Journal of Nondestructive Testing=Дефектоскопия.— .— New York: Springer Science+Business Media LLC. Vol. 59, iss. 3.— 2023.— P. 359-373
Main Author:	Udod V. A. Viktor Anatolievich
Corporate Author:	National Research Tomsk Polytechnic University
Other Authors:	Osipov S. P. Sergey Pavlovich, Nazarenko S. Yu. Svetlana Yurjevna
Summary:	Title screen We describe an algorithm for optimizing the parameters of sandwich X-ray detectors in relation to the recognition of materials by the dual energy method. The application of the algorithm is illustrated by a concrete example in which we obtain the thicknesses of the first detector and the intermediate filter (that are part of a sandwich detector) that are optimal for detecting explosives for the given materials of the first detector (CsI) and the intermediate filter (Cu). Текстовый файл AM_Agreement
Published:	2023
Subjects:	электронный ресурс труды учёных ТПУ X-ray radiation algorithm optimization sandwich detector dual energy method material recognition effective atomic number
Online Access:	https://doi.org/10.1134/S1061830923700298 Статья на русском языке
Format:	Electronic Book Chapter
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=672185

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