A Neutron Based Vehicle Borne Improvised Explosive Device Detection System

Koltick, D.; McConchie, Seth M

doi:10.1109/ccst.2007.4373503

Cited by 6 publications

(7 citation statements)

References 28 publications

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“…Here, S is the neutron source strength (n/s), is the geometrical attenuation ⁄ , is the material attenuation and is a fitted function containing the burial depth d of explosive mass m. The fitted function is expressed as: ∑ , (i=1,2,3 and j=1,2,3) with coefficients listed in Table 3. 1.696 × 10 -6 9.949 × 10 - 5 2.157 × 10 -5 -7.131 × 10 -7 -1.592 × 10 -7 -1.632 × 10 -6 -3.140 × 10 -7 -3.614 × 10 -5 -7.878 × 10 -6 1.569 × 10 - 8 3.532 × 10 -9 -3.734 × 10 -8 -9.149 × 10 -9 9.013 × 10 -7…”

Section: Methodology and Modelingmentioning

confidence: 99%

“…Chemical explosives, such as TNT and RDX, contain hydrogen (H), carbon (C), oxygen (O), and nitrogen (N) which can be identified along with their relative atomic compositions enabling identification using nuclear techniques such as Fast Neutron Activation (FNA) and Thermal Neutron Activation (TNA) [3]. Such techniques have been under consideration since the 1960s [4][5][6][7] and explosives detection systems (EDS) have been investigated and designed for detection of explosives concealed in vehicles [8], airport baggage [9], air cargo [10], land and sea containers [11,12], as well as landmines [13][14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

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Detector Response From Thermal Neutron Activation of Concealed Explosives

Koreshi¹,

Khan²

2017

IIUMEJ

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Explosives concealed in small quatitites (~100 g), buried in landmines or in baggage, can be detected by characteristic gamma rays produced by neutron activation. However, the detection response can be reduced by attenuation of the signal in the background medium. This paper carries out a Monte Carlo simulation, using MCNP-V, to estimate the gamma signal spectrum and intesity degradation at a sodium iodide (NaI) detector from a small sample of trinitrotoluene (TNT) explosive buried in limestone. It is found that the transmission across 25 cm of limestone is ~6% of the 2.2233 MeV hydrogen signal and ~20% of the nitrogen signal. An empirical formula, obtained from MCNP re-runs, is used to estimate the signal strength from TNT, buried at 5-25 cm in limestone, for a californium source (252Cf) emitting 2.31 x 107 n/s. It is found that for TNT mass in the range 0.1-3 kg, the signatures are in the range 20-2000 s-1 from nitrogen and 24-2400 s-1 from hydrogen. These estimates can be used to determine the scanning time for an explosives detection system.

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Section: Methodology and Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Detector Response From Thermal Neutron Activation of Concealed Explosives

Koreshi¹,

Khan²

2017

IIUMEJ

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“…Using a D-T neutron generator as a high energy neutron source has some advantages which can be found in Ref. (Koltick et al, 2007;Reda, 2011;Farhad and Masoud, 2014). The neutron collimator was designed in a cone shape.…”

Section: Design Of Explosive Detection Systemmentioning

confidence: 99%

“…The existing literatures comprehensively discuss most aspects of the system design, including, source design, source pulsing optimization, shielding design, detector design and positioning and sample presentation. The references of these literatures can be found in Koltick et al (2007). The basis, however, is always the same: Look for the elemental signatures and deduce from them the presence or absence of explosives (Tsahi and Dan, 2007).…”

Section: Introductionmentioning

confidence: 99%

Design of an explosive detection system to investigate the luggage of aircraft passenger based on neutron-gamma technique

Reda¹

2015

Int. J. Phys. Sci.

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In this study an explosive detection system to investigate luggage of air travelers by the Monte Carlo N-Particle Transport code (MCNP5) has been designed. Concrete as a commonly shielding material was the main part in the designed system. Pulsed neutron generator with 14.1 MeV neutrons was used as a neutron source. Two time gates were used in gamma detection process. The lead was used as a secondary gamma rays shielding material for the sake of background reduction. The equivalent dose outside the designed system was less than the accepted level. Gamma signals from different weights of explosives 1.833, 1.173, 0.815 and 0.399 kg at different detector positions were calculated. The results show that the designed system can be provide a reasonable values of signal-to-background ratio from the explosive basic elements constitute, C, O and N.

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“…Neutron systems are utilized in industry for examination of coal (Sowerby, 2009), cement (Womble et al, 2005), metal alloys (James and Fuerst, 2000), soil (Wielopolski et al, 2008) and in oil well logging applications (Frankle and Dale, 2013). Neutron methods are also used for the detection of toxic chemicals and explosives in cargo and vehicles (Koltick et al, 2007;Gozani, 2004), for humanitarian demining, for in situ astrochemical analysis of planetary samples (Bodnarik et al, 2013) and for in vivo cancer detection (Bender et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Material Classification by Analysis of Prompt Photon Spectra Induced by 14-Mev Neutrons

Barzilov¹,

Novikov²

2015

Physics Procedia

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Neutron based technologies are widely used in the field of bulk material analysis. These methods employ characteristic prompt gamma rays induced by a neutron probe for classification of the interrogated object using the elemental parameters extracted from the spectral data. Automatic data analysis and material classification algorithms are required for applications where access to nuclear spectroscopy expertise is limited and/or the autonomous robotic operation is necessary. Data obtained with neutron based systems differ from elemental composition evaluations based on chemical formulae due to statistical nature of nuclear reactions, presence of shielding and cladding, and other environmental conditions. Experimental data that are produced by the spectral decomposition can be expressed graphically as sets of overlapping classes in a multidimensional space of measured elemental intensities. To discriminate between classes of various materials, decision-tree and pattern recognition algorithms were studied. Results of application of these methods to data sets obtained for a pulsed 14-MeV neutron generator based active interrogation system are discussed.

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A Neutron Based Vehicle Borne Improvised Explosive Device Detection System

Cited by 6 publications

References 28 publications

Detector Response From Thermal Neutron Activation of Concealed Explosives

Detector Response From Thermal Neutron Activation of Concealed Explosives

Design of an explosive detection system to investigate the luggage of aircraft passenger based on neutron-gamma technique

Material Classification by Analysis of Prompt Photon Spectra Induced by 14-Mev Neutrons

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