Experimental tests of Gamma-ray Localization Aided with Machine-learning (GLAM) capabilities-Reference-Cited by-同舟云学术

Experimental tests of Gamma-ray Localization Aided with Machine-learning (GLAM) capabilities

Published:2022-09 Issue: Volume:1038 Page:166905
ISSN:0168-9002
Container-title:Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
language:en
Short-container-title:Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

Author:

Durbin Matthew,Sheatsley Ryan,McDaniel Patrick,Lintereur Azaree

Funder

National Science Foundation

U.S. Nuclear Regulatory Commission

Publisher

Elsevier BV

Subject

Instrumentation,Nuclear and High Energy Physics

Reference22 articles.

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4. Simulation and validation of the mobile urban radiation search (MURS) gamma-ray detector response;Curtis;Nucl. Instrum. Methods Phys. Res. A,2020

5. Development of a direction finding gamma-ray detector;Shirakawa;Nucl. Instrum. Methods Phys. Res. B,2007

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1. A simple and low-cost directional detection technique for radiation source localization for nuclear security applications;Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment;2023-05