Materials characterisation with the Associated Particle Technique

Pérot, B.; Carasco, C.; Deyglun, Clement; Eléon, C.; Kanawati, Wassila El; Mariani, Alberto; Ma, Jean-Luc

doi:10.1109/nssmic.2012.6551402

Cited by 5 publications

(3 citation statements)

References 45 publications

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“…Furthermore, for C-BORD, it also planned to detect chemical warfare agents by recognizing their characteristic gamma rays. LaBr 3 detectors will be used to identify specific low-energy (<1 MeV) gamma rays, which are sign the presence of elements such as arsenic or bromine [3].…”

Section: The Tagged Neutron Inspection Techniquementioning

confidence: 99%

Design of the rapidly relocatable tagged neutron inspection system of the C-BORD project

Sardet¹,

Pérot²,

Carasco³

et al. 2016

2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/R

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Within the framework of the European H2020 C-BORD project, aiming at improving container inspection technologies, a compact and "Rapidly Relocatable Tagged Neutron Inspection System", called RRTNIS, is being developed taking into account past EURITRACK experience with a portal TNIS, and the latest technologies in terms of associated particle neutron generator and data acquisition electronics. A dedicated shield surrounding the neutron generator has been designed with MCNP6 to limit the size of the restricted area and the count rate on gamma detectors, which are located very close to the generator. This new design with "reflection" detectors only, i.e. in backscattering position, is indeed more efficient to detect suspect items, like explosives or illicit drugs, in bottom regions of the container, compared to EURITRACK detectors which were mainly located above the container. It also allows designing a relocatable system for different inspection sites like seaports, borders, or other checkpoints. Dose and count rate calculations are presented to determine the restricted area and facilitate the design of the data acquisition electronics, respectively.

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Section: The Tagged Neutron Inspection Techniquementioning

confidence: 99%

Design of the rapidly relocatable tagged neutron inspection system of the C-BORD project

Sardet¹,

Pérot²,

Carasco³

et al. 2016

2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop (NSS/MIC/R

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“…However, detection and characterization of SNM in an inspection object is often required, which typically requires more complex equipment or analysis techniques. Systems meant to characterize SNM will have capabilities such as object imaging (2), gamma-ray spectroscopy (20), coincidence counting (21), etc. Nuclear security fields that utilize active interrogation, such as nuclear forensics (22), disarmament treaty verification (21), and spent fuel characterization (8), require more sophisticated analyses of unknown configurations.…”

Section: Types Of Signals Analyzedmentioning

confidence: 99%

“…They also look at the option of using this technique to identify shielding material in SNM configurations. (20) The UNCOSS system was developed by many of the same people involved with EURITRACK, but the focus for this system is underwater explosives detection (61).…”

Section: Relevant Literaturementioning

confidence: 99%

Incorporation of Photon Analysis into an Active Interrogation System for Shielded Uranium Characterization

Canion

2016

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Measuring hydrogen with fast neutrons: Application to organic materials identification in cargo containers

Carasco

Pérot

Sardet

2020

Nuclear Instruments and Methods in Physics Research Section A:

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Significance (120 mots max, doit être lisible par des étudiants qui ne sont pas dans le domaine) We present a demonstration by simulation of a non-destructive neutron interrogation system capable of identifying organic compounds in cargo containers. Unlike previous systems, which tried identifying organics molecules using only carbon, nitrogen and oxygen neutron-induced gamma rays, our approach allows determining the fraction of hydrogen although no hydrogen specific gamma ray can be measured. Since hydrogen manifests in the gamma ray spectrum in a complex way through changes in the amplitude of carbon, oxygen and nitrogen gamma ray peaks, we discovered that a neural network can cope with the problem complexity and allow interpreting the peaks amplitudes in term of hydrogen fraction. Such a system can improve the reliability of cargo containers screening by reducing false alarms. Abstract (250 mots max, compréhensible par tout scientifique) To inspect cargo containers, X-ray imaging can be complemented by fast neutron interrogation to provide indication concerning the nature of the transported goods. Organic goods are of special interest since they constitute a significant part of the merchandises. In addition, in the context of NRBC-E threats search in cargo containers, a nondestructive inspection system should also be able to detect explosives. Until now, fast neutron interrogation systems identify organic materials using characteristic neutron-induced gamma-ray peaks of carbon, oxygen and nitrogen. But identifying organics in this way can lead to ambiguities since no hydrogen peak can be measured with fast neutrons. However, it is known that hydrogen strongly modifies the neutron energy spectrum, which in turn affects the gamma-ray peaks amplitudes. The link between hydrogen fraction and gamma ray peaks amplitude being complex, no attempt has been performed to inverse this link until now. Simulations show however that a neural network that takes as inputs the heights of carbon, oxygen and nitrogen gamma ray peaks can indeed determine the hydrogen fraction. Simulations of realistic cases show that the use of a neural network indeed allows identifying compounds having similar fractions of carbon, oxygen and nitrogen but different hydrogen fraction, opening the way to more accurate materials identification.

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Materials characterisation with the Associated Particle Technique

Cited by 5 publications

References 45 publications

Design of the rapidly relocatable tagged neutron inspection system of the C-BORD project

Design of the rapidly relocatable tagged neutron inspection system of the C-BORD project

Incorporation of Photon Analysis into an Active Interrogation System for Shielded Uranium Characterization

Measuring hydrogen with fast neutrons: Application to organic materials identification in cargo containers

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