Characterization of the X-ray spectrum of a linear accelerator

The Nuclear Measurement Laboratory (LMN) at CEA Cadarache in France uses a high-energy electron linear accelerator, LINAC (9-21 MeV), to characterize nuclear waste drums. It enables to explore new examination modalities, such as active photon interrogation or dualenergy CT to scan large concrete obj...

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Autores principales: Maulin Maëva, Allinei Pierre Guy, Eck Daniel, Estre Nicolas, Payan Emmanuel, Tisseur David, Kessedjian Grégoire
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Lenguaje:EN
Publicado: EDP Sciences 2021
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Acceso en línea:https://doaj.org/article/5114ec350a0148afab9abe1a2adef2b3
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spelling oai:doaj.org-article:5114ec350a0148afab9abe1a2adef2b32021-12-02T17:12:45ZCharacterization of the X-ray spectrum of a linear accelerator2100-014X10.1051/epjconf/202125304002https://doaj.org/article/5114ec350a0148afab9abe1a2adef2b32021-01-01T00:00:00Zhttps://www.epj-conferences.org/articles/epjconf/pdf/2021/07/epjconf_animma2021_04002.pdfhttps://doaj.org/toc/2100-014XThe Nuclear Measurement Laboratory (LMN) at CEA Cadarache in France uses a high-energy electron linear accelerator, LINAC (9-21 MeV), to characterize nuclear waste drums. It enables to explore new examination modalities, such as active photon interrogation or dualenergy CT to scan large concrete objects with diameters up to 140 cm. These techniques require precise awareness of the photon spectrum emitted by the LINAC. However, direct measure of this photon energy spectrum cannot be achieved because of the accelerator pulses causing detector saturation. During the last few years, a large number of indirect methods has been developed. From an experimental point of view, the simplest indirect method for spectrum estimation method is ransmission measurements. Because it can be set up easily and accurately using an ionization chamber as well as an appropriate screen. The obtained transmission curve depends on the photon energy spectrum, which can be estimated using inverse models. In this paper, we present the development of a numerical model to determine the energy spectrum from an attenuation curve via transmission measurements which combines two types of inverse models: a continue model and a discrete model. We validate this tool using a test spectrum and its transmission curve obtained via Monte-Carlo simulation. This qualification allowed us to determine its sensitivity (signal-to-noise ratio, SNR) in order to have a good convergence. We show that if the SNR is less than 4%, we have a good estimation of the photon energy spectrum. Then, it was experimentally tested with a transmission curve obtained at the laboratory.Maulin MaëvaAllinei Pierre GuyEck DanielEstre NicolasPayan EmmanuelTisseur DavidKessedjian GrégoireEDP Sciencesarticlelinear electron acceleratorhigh energy computed tomographyspectrum characterizationlinacPhysicsQC1-999ENEPJ Web of Conferences, Vol 253, p 04002 (2021)
institution DOAJ
collection DOAJ
language EN
topic linear electron accelerator
high energy computed tomography
spectrum characterization
linac
Physics
QC1-999
spellingShingle linear electron accelerator
high energy computed tomography
spectrum characterization
linac
Physics
QC1-999
Maulin Maëva
Allinei Pierre Guy
Eck Daniel
Estre Nicolas
Payan Emmanuel
Tisseur David
Kessedjian Grégoire
Characterization of the X-ray spectrum of a linear accelerator
description The Nuclear Measurement Laboratory (LMN) at CEA Cadarache in France uses a high-energy electron linear accelerator, LINAC (9-21 MeV), to characterize nuclear waste drums. It enables to explore new examination modalities, such as active photon interrogation or dualenergy CT to scan large concrete objects with diameters up to 140 cm. These techniques require precise awareness of the photon spectrum emitted by the LINAC. However, direct measure of this photon energy spectrum cannot be achieved because of the accelerator pulses causing detector saturation. During the last few years, a large number of indirect methods has been developed. From an experimental point of view, the simplest indirect method for spectrum estimation method is ransmission measurements. Because it can be set up easily and accurately using an ionization chamber as well as an appropriate screen. The obtained transmission curve depends on the photon energy spectrum, which can be estimated using inverse models. In this paper, we present the development of a numerical model to determine the energy spectrum from an attenuation curve via transmission measurements which combines two types of inverse models: a continue model and a discrete model. We validate this tool using a test spectrum and its transmission curve obtained via Monte-Carlo simulation. This qualification allowed us to determine its sensitivity (signal-to-noise ratio, SNR) in order to have a good convergence. We show that if the SNR is less than 4%, we have a good estimation of the photon energy spectrum. Then, it was experimentally tested with a transmission curve obtained at the laboratory.
format article
author Maulin Maëva
Allinei Pierre Guy
Eck Daniel
Estre Nicolas
Payan Emmanuel
Tisseur David
Kessedjian Grégoire
author_facet Maulin Maëva
Allinei Pierre Guy
Eck Daniel
Estre Nicolas
Payan Emmanuel
Tisseur David
Kessedjian Grégoire
author_sort Maulin Maëva
title Characterization of the X-ray spectrum of a linear accelerator
title_short Characterization of the X-ray spectrum of a linear accelerator
title_full Characterization of the X-ray spectrum of a linear accelerator
title_fullStr Characterization of the X-ray spectrum of a linear accelerator
title_full_unstemmed Characterization of the X-ray spectrum of a linear accelerator
title_sort characterization of the x-ray spectrum of a linear accelerator
publisher EDP Sciences
publishDate 2021
url https://doaj.org/article/5114ec350a0148afab9abe1a2adef2b3
work_keys_str_mv AT maulinmaeva characterizationofthexrayspectrumofalinearaccelerator
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AT eckdaniel characterizationofthexrayspectrumofalinearaccelerator
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