Algorithm for Optimizing the Parameters of Sandwich X-ray Detectors; Russian Journal of Nondestructive Testing; Vol. 59, iss. 3

Dades bibliogràfiques
Parent link:	Russian Journal of Nondestructive Testing=Дефектоскопия.— .— New York: Springer Science+Business Media LLC. Vol. 59, iss. 3.— 2023.— P. 359-373
Autor principal:	Udod V. A. Viktor Anatolievich
Autor corporatiu:	National Research Tomsk Polytechnic University
Altres autors:	Osipov S. P. Sergey Pavlovich, Nazarenko S. Yu. Svetlana Yurjevna
Sumari:	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
Idioma:	anglès
Publicat:	2023
Matèries:	электронный ресурс труды учёных ТПУ X-ray radiation algorithm optimization sandwich detector dual energy method material recognition effective atomic number
Accés en línia:	https://doi.org/10.1134/S1061830923700298 Статья на русском языке
Format:	Electrònic Capítol de llibre
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=672185

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