Experimental validation of material discrimination ability of muon scattering tomography at the TUMUTY facility

  • Xing-Yu Pan
  • Yi-Fan Zheng
  • Zhi ZengEmail author
  • Xue-Wu Wang
  • Jian-Ping Cheng


Muon scattering tomography is believed to be a promising technique for cargo container inspection, owing to the ability of natural muons to penetrate into dense materials and the absence of artificial radiation. In this work, the material discrimination ability of muon scattering tomography is evaluated based on experiments at the Tsinghua University cosmic ray muon tomography facility, with four materials: flour (as drugs substitute), aluminum, steel, and lead. The features of the different materials could be discriminated with cluster analysis and classifiers based on support vector machine. The overall discrimination precisions for these four materials could reach 70, 95, and 99% with 1-, 5-, and 10-min-long measurement, respectively.


Muon tomography Cargo container inspection Material discrimination SVM classifier 


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Copyright information

© China Science Publishing & Media Ltd. (Science Press), Shanghai Institute of Applied Physics, the Chinese Academy of Sciences, Chinese Nuclear Society and Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Xing-Yu Pan
    • 1
  • Yi-Fan Zheng
    • 2
    • 3
  • Zhi Zeng
    • 1
    Email author
  • Xue-Wu Wang
    • 1
  • Jian-Ping Cheng
    • 4
  1. 1.Key Laboratory of Particle and Radiation Imaging (Ministry of Education) and Department of Engineering PhysicsTsinghua UniversityBeijingChina
  2. 2.Department of Nuclear EngineeringUniversity of CaliforniaBerkeleyUSA
  3. 3.Department of Radiology and Biomedical ImagingUniversity of CaliforniaSan FranciscoUSA
  4. 4.College of Nuclear Science and TechnologyBeijing Normal UniversityBeijingChina

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