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Unmanned Aerial System Integrated Sensor for Remote Gamma and Neutron Monitoring

Tools for remote radiation sensing are essential for environmental safety and nuclear power applications. The use of unmanned aerial systems (UASs) equipped with sensors allows for substantially reducing the radiation exposure of personnel. An ambient temperature Cs(2)LiYCl(6):Ce(3+) (CLYC) elpasoli...

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Detalles Bibliográficos
Autores principales: Barzilov, Alexander, Kazemeini, Monia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582432/
https://www.ncbi.nlm.nih.gov/pubmed/32992535
http://dx.doi.org/10.3390/s20195529
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author Barzilov, Alexander
Kazemeini, Monia
author_facet Barzilov, Alexander
Kazemeini, Monia
author_sort Barzilov, Alexander
collection PubMed
description Tools for remote radiation sensing are essential for environmental safety and nuclear power applications. The use of unmanned aerial systems (UASs) equipped with sensors allows for substantially reducing the radiation exposure of personnel. An ambient temperature Cs(2)LiYCl(6):Ce(3+) (CLYC) elpasolite scintillation sensor for simultaneous gamma and neutron measurements was designed as a user-friendly “plug and fly” module integrated into an octocopter robotic platform. Robot Operating System (ROS) was used to analyze the sensor’s data. The measured CLYC’s energy resolution was <5% at 662 keV gamma rays; neutron flux was measured using (6)Li(n,α)t reaction. Time and GPS data were combined with radiation data in the ROS, supporting real time monitoring and assessment tasks, as well as radiation source search missions. Because UASs can be irradiated, radiation damage of the sensor and robot’s electronics was estimated using FLUKA code.
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spelling pubmed-75824322020-10-29 Unmanned Aerial System Integrated Sensor for Remote Gamma and Neutron Monitoring Barzilov, Alexander Kazemeini, Monia Sensors (Basel) Article Tools for remote radiation sensing are essential for environmental safety and nuclear power applications. The use of unmanned aerial systems (UASs) equipped with sensors allows for substantially reducing the radiation exposure of personnel. An ambient temperature Cs(2)LiYCl(6):Ce(3+) (CLYC) elpasolite scintillation sensor for simultaneous gamma and neutron measurements was designed as a user-friendly “plug and fly” module integrated into an octocopter robotic platform. Robot Operating System (ROS) was used to analyze the sensor’s data. The measured CLYC’s energy resolution was <5% at 662 keV gamma rays; neutron flux was measured using (6)Li(n,α)t reaction. Time and GPS data were combined with radiation data in the ROS, supporting real time monitoring and assessment tasks, as well as radiation source search missions. Because UASs can be irradiated, radiation damage of the sensor and robot’s electronics was estimated using FLUKA code. MDPI 2020-09-27 /pmc/articles/PMC7582432/ /pubmed/32992535 http://dx.doi.org/10.3390/s20195529 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Barzilov, Alexander
Kazemeini, Monia
Unmanned Aerial System Integrated Sensor for Remote Gamma and Neutron Monitoring
title Unmanned Aerial System Integrated Sensor for Remote Gamma and Neutron Monitoring
title_full Unmanned Aerial System Integrated Sensor for Remote Gamma and Neutron Monitoring
title_fullStr Unmanned Aerial System Integrated Sensor for Remote Gamma and Neutron Monitoring
title_full_unstemmed Unmanned Aerial System Integrated Sensor for Remote Gamma and Neutron Monitoring
title_short Unmanned Aerial System Integrated Sensor for Remote Gamma and Neutron Monitoring
title_sort unmanned aerial system integrated sensor for remote gamma and neutron monitoring
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7582432/
https://www.ncbi.nlm.nih.gov/pubmed/32992535
http://dx.doi.org/10.3390/s20195529
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