Information Extraction from Muon Radiography Data

نویسندگان

  • Konstantin BOROZDIN
  • Thomas ASAKI
  • Rick CHARTRAND
  • Gary BLANPIED
  • Matthew SOTTILE
  • Kevin VIXIE
  • Brendt WOHLBERG
چکیده

Scattering muon radiography was proposed recently as a technique of detection and 3-d imaging for dense high-Z objects . High-energy cosmic ray muons are deflected in matter in the process of multiple Coulomb scattering . By measuring the deflection angles we are able to reconstruct the configuration of high-Z material in the object . We discuss the methods for information extraction from muon radiography data. Tomographic methods widely used in medical images have been applied to a specific muon radiography information source . Alternative simple technique based on the counting of high-scattered muons in the voxels seems to be efficient in many simulated scenes . SVM-based classifiers and clustering algorithms may allow detection of compact high-Z object without full image reconstruction. The efficiency of muon radiography can be increased using additional informational sources, such as momentum estimation, stopping power measurement, and detection of muonic atom emission .

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تاریخ انتشار 2005