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RDX Detection with THz Spectroscopy

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Abstract

Spectroscopic analysis in the Terahertz frequency range, providing characteristic “signatures” for explosive and non-explosive materials, is proposed as an efficient and powerful tool for explosive identification. It is demonstrated that spectral responses of materials can be used as fingerprints that distinguish cyclotrimethylenetrinitramine (RDX) from other materials even with simple detectors and a limited number of available frequencies. Detection is performed using a modified least squares approach and multilayer perceptrons that operate on smoothed reflectance spectra. The performance of the detectors is evaluated through application to spectra of RDX and several common materials. A Receiver Operating Characteristic curve analysis demonstrates that our detectors exhibit the desirable properties of high probability of detection and low probability of false alarm.

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References

  1. Choi, M.K., A. D. Bettermann, D. W. van der Wiede, Potential for detection of explosive and biological hazards with electronic terahertz systems. Phil. Trans. R. Soc. Lond. A, 2004. 362: p. 337–349.

    Article  Google Scholar 

  2. Bandyopadhyay, A., A. Sengupta, R.B. Barat, D.E. Gary, Z.-H. Michalopoulou, and J.F. Federici, Artificial neural network analysis in interferometric Terahertz imaging for detection of lethal agents. International Journal of Infrared and Millimeter Waves, 2006. 27(8): p. 1145–1158.

    Article  Google Scholar 

  3. Federici, J.F., B. Schulkin, F. Huang, D. Gary, R. Barat, F. Oliveira, D. Zimdars, THz imaging and sensing for security applications—Explosives, Weapons, and Drugs. Semicond. Sci. Technol., 2005. 20: p. S266–S280

    Article  Google Scholar 

  4. Huang, F., B. Schulkin, H. Altan, J. Federici, D. Gary, R. Barat, D. Zimdars, M. Chen, D. Tanner, Terahertz Study of 1,3,5-Trinitro-s-triazine (RDX) by Time Domain Spectroscopy and FTIR. Appl. Phys. Lett., 2004. 85: p. 5535–5537

    Article  Google Scholar 

  5. Federici, J.F., D. Gary, R. Barat, Z.-H. Michalopoulou, Detection of Explosives by Terahertz Imaging, in -Terrorism Detection Techniques of Explosives, J. Yinon, Editor. 2007, Elsevier.

  6. Zorych, I., A. Sinyukov, Z.-H. Michalopoulou, R. Barat, D. Gary, J. F. Federici. Explosive identification with Terahertz spectroscopy: a model based approach. in SAFE 2007. 2007. Washington, D.C.

  7. Kemp, M.C., P. F. Taday, B. E. Cole, J. A. Cluff, A. J. Fitzgerald, W. R. Tribe, Security applications of Terahertz technology, in Terahertz for Military and Security Applications, D.L.W. R. J. Hwu, Editor. 2003, SPIE. p. 44–52.

  8. Liu, H.-B., Y. Chen , G.J. Bastiaans, X.-C. Zhang, Detection and identification of explosive RDX by THz diffuse reflection spectroscopy. Optics Express, 2006. 14(1): p. 415–423

    Article  Google Scholar 

  9. Zhong, H., A. Redo-Sanchez., X.-C. Zhang, Identification and classification of chemicals using terahertz reflective spectroscopic focal-plane imaging system. Optics Express, 2006. 14(20): p. 9130–9141.

    Article  Google Scholar 

  10. Wang, Y., Z. Zhao, Z. Chen, K. Kang, B. Feng, Y. Zhang, Terahertz absorbance spectrum fitting method for quantitative detection of concealed contraband. Journal of Applied Physics, 2007. 102(11): p. 1131081–1131086.

    Google Scholar 

  11. Lippmann, R.P., An introduction to computing with neural nets. IEEE ASSP, 1987: p. 4–22.

  12. Zorych, I., Yew Li Hor, Alexander M. Sinyukov, Zoi-Heleni Michalopoulou, Robert B. Barat, Dale E. Gary, and John F. Federici A Statistical Approach to RDX Detection with THz Reflection Spectra, in CAMS Techical Report Series 2008–2009. 2008, New Jersey Institute of Technology.

  13. Mittleman, D.M., Terahertz Imaging, in Sensing with Terahertz Radiation, D.M. Mittleman, Editor. 2003, Springer. p. 117–153.

  14. Liu, Z., Ke Su, Dale E. Gary. John F. Federici, Robert B. Barat, Zoi-Heleni Michalopoulou, Video-rate terahertz interferometric and synthetic aperture imaging. Applied Optics, 2008: p. 3788–3795.

  15. Hastie, T., R. Tibshirani, J. Friedman, The Elements of Statistical Learning. 2001: Springer.

  16. Huang, Y.S., C. Y. Chen, A Method of Combining Multiple Experts for the Recognition of Unconstrained Handwritten Numerals. IEEE Transactions on Pattern Analysis and Machine Intelligence. 17: p. 90–94.

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Acknowledgment

The authors gratefully acknowledge the funding support by Rajen Patel and the U.S. Army - Picatinny Arsenal EWMTD through grants DAAE3003D1015-22 and DAAE3003D1015-33.

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Correspondence to Zoi-Heleni Michalopoulou.

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Michalopoulou, ZH., Mukherjee, S., Hor, Y.L. et al. RDX Detection with THz Spectroscopy. J Infrared Milli Terahz Waves 31, 1171–1181 (2010). https://doi.org/10.1007/s10762-010-9693-1

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  • DOI: https://doi.org/10.1007/s10762-010-9693-1

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