Explosives detection using photoneutrons produced by X-rays
Explosives detection using photoneutrons produced by X-rays
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DOI:
10.1016/j.nima.2007.04.087
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发表时间:
2007-08
影响因子:
1.4
通讯作者:
Yigang Yang;Yuanjing Li;Haidong Wang;Tiezhu Li;Bin. Wu
中科院分区:
文献类型:
--
作者:
Yigang Yang;Yuanjing Li;Haidong Wang;Tiezhu Li;Bin. Wu
The detection of explosives has become a critical issue after recent terrorist attacks. This paper describes research on explosives detection using photoneutrons from a photoneutron convertor that consists of 20kg heavy water in an aluminum container whose shape was optimized to most effectively convert X-rays to photoneutrons. The X-rays were produced by a 9MeV electron accelerator with an average electron current of 100μA, resulted in a photoneutron yield of >1011n/s. Monte-Carlo simulations show that the radiation field is composed of X-ray pulses, fast neutron pulses and thermal neutrons. Both the X-ray and fast neutron pulses are 5μs wide with a 300Hz repetition frequency. The thermal neutron flux, which is higher than 104n/cm2/s, is essentially time invariant. A time shielding circuit was developed for the spectrometry system to halt the sampling process during the intense X-ray pulses. Paraffin, boron carbide and lead were used to protect the detector from interference from the X-rays, fast neutrons, thermal neutrons and background γ-rays coming from the system materials induced by photoneutrons. 5″×5″ NaI (Tl) scintillators were chosen as the detectors to detect the photoneutrons induced γ-rays from the inspected explosive simulant. Nitrogen (6.01cps) 10.828MeV γ-rays were detected with one detector from a 50kg carbamide block placed 60cm in front of the detector. A collimator was used to reduce the number of background 10.828MeV γ-rays coming from the nitrogen in the air to improve the signal to background ratio from 0.136 to 1.81. A detector array of seven 5″×5″ NaI (Tl) detectors was used to measure the 2-D distributions of N and H in the sample. The combination of photoneutron analysis and X-ray imaging shows promise for enhancing explosives detection capabilities.