A feasibility study of gamma ray source finder development for multiple sources scenario based on a Monte Carlo simulation
Abstract In this research, a rapid and accurate gamma finder system which can find orphan gamma-ray sources has been designed based on NaI(Tl) detector. By proposing complementary methods to our previous researches, an attempt has been made to provide an approach to solve the problem of 3D localizat...
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Nature Portfolio
2021
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oai:doaj.org-article:529d716751b54242bb323e0399c0aca72021-12-02T17:05:45ZA feasibility study of gamma ray source finder development for multiple sources scenario based on a Monte Carlo simulation10.1038/s41598-021-85706-42045-2322https://doaj.org/article/529d716751b54242bb323e0399c0aca72021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-85706-4https://doaj.org/toc/2045-2322Abstract In this research, a rapid and accurate gamma finder system which can find orphan gamma-ray sources has been designed based on NaI(Tl) detector. By proposing complementary methods to our previous researches, an attempt has been made to provide an approach to solve the problem of 3D localization in multiple orphan gamma-ray sources scenario. Based on our previous research, the new conceptual design has been proposed and simulated using Monte Carlo MCNPX2.6 code. Afterward, in order to identify its key characteristics and features, the proposed design has been tested in several different scenarios (multiple gamma sources with various activities in different distances).Ali Farzanehpoor AlwarsFaezeh RahmaniNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021) |
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Medicine R Science Q Ali Farzanehpoor Alwars Faezeh Rahmani A feasibility study of gamma ray source finder development for multiple sources scenario based on a Monte Carlo simulation |
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Abstract In this research, a rapid and accurate gamma finder system which can find orphan gamma-ray sources has been designed based on NaI(Tl) detector. By proposing complementary methods to our previous researches, an attempt has been made to provide an approach to solve the problem of 3D localization in multiple orphan gamma-ray sources scenario. Based on our previous research, the new conceptual design has been proposed and simulated using Monte Carlo MCNPX2.6 code. Afterward, in order to identify its key characteristics and features, the proposed design has been tested in several different scenarios (multiple gamma sources with various activities in different distances). |
format |
article |
author |
Ali Farzanehpoor Alwars Faezeh Rahmani |
author_facet |
Ali Farzanehpoor Alwars Faezeh Rahmani |
author_sort |
Ali Farzanehpoor Alwars |
title |
A feasibility study of gamma ray source finder development for multiple sources scenario based on a Monte Carlo simulation |
title_short |
A feasibility study of gamma ray source finder development for multiple sources scenario based on a Monte Carlo simulation |
title_full |
A feasibility study of gamma ray source finder development for multiple sources scenario based on a Monte Carlo simulation |
title_fullStr |
A feasibility study of gamma ray source finder development for multiple sources scenario based on a Monte Carlo simulation |
title_full_unstemmed |
A feasibility study of gamma ray source finder development for multiple sources scenario based on a Monte Carlo simulation |
title_sort |
feasibility study of gamma ray source finder development for multiple sources scenario based on a monte carlo simulation |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/529d716751b54242bb323e0399c0aca7 |
work_keys_str_mv |
AT alifarzanehpooralwars afeasibilitystudyofgammaraysourcefinderdevelopmentformultiplesourcesscenariobasedonamontecarlosimulation AT faezehrahmani afeasibilitystudyofgammaraysourcefinderdevelopmentformultiplesourcesscenariobasedonamontecarlosimulation AT alifarzanehpooralwars feasibilitystudyofgammaraysourcefinderdevelopmentformultiplesourcesscenariobasedonamontecarlosimulation AT faezehrahmani feasibilitystudyofgammaraysourcefinderdevelopmentformultiplesourcesscenariobasedonamontecarlosimulation |
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1718381790812438528 |