Journal Article

GSI-2022-00587

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Enhanced Gamma-Ray Attenuation-Based Detection System Using an Artificial Neural Network

Eftekhari-Zadeh, E.HIJ* ; Bensalama, A. S. ; Roshani, G. H. ; Salama, A. S. ; Spielmann, C.HIJ* ; Iliyasu, A. M. (Corresponding author)

2022
MDPI Basel

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Please use a persistent id in citations: doi:10.3390/photonics9060382  doi:10.15120/GSI-2022-00587

Note: Supported by BMBF under grant # 05P21SJFA2 Verbundprojekt 05P2021 (ErUM-FSP T05). This article is an open access articledistributed under the terms andconditions of the Creative CommonsAttribution (CC BY) license

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Contributing Institute(s):

1. HIJ / PTS (PTS)

Research Program(s):

1. 622 - Detector Technologies and Systems (POF4-622) (POF4-622)

Experiment(s):

1. no experiment theory work (POF3; theory)

Appears in the scientific report 2022

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