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RDX Detection with THz Spectroscopy

  • Zoi-Heleni Michalopoulou
  • Suman Mukherjee
  • Yew Li Hor
  • Ke Su
  • Zhiwei Liu
  • Robert B. Barat
  • Dale E. Gary
  • John F. Federici
Article

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.

Keywords

THz spectroscopy Explosive detection Neural networks ROC curves 

Notes

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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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Zoi-Heleni Michalopoulou
    • 1
  • Suman Mukherjee
    • 2
  • Yew Li Hor
    • 2
  • Ke Su
    • 2
  • Zhiwei Liu
    • 2
  • Robert B. Barat
    • 3
  • Dale E. Gary
    • 2
  • John F. Federici
    • 2
  1. 1.Department of Mathematical SciencesNew Jersey Institute of TechnologyNewarkUSA
  2. 2.Department of PhysicsNew Jersey Institute of TechnologyNewarkUSA
  3. 3.Otto York Department of Chemical EngineeringNew Jersey Institute of TechnologyNewarkUSA

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