Improvement of Material Discrimination Using Muon Momenta in MST

Abstract

MST or Muon Scattering Tomography is a major non-destructive technique to discriminate materials by finding deviation in muon tracks which depends on Z and density (ρ) of the medium the muon passes through. The scattering angle also depends on the incoming momentum of muon which is a key to distinguish multiple small deviations through large path-lengths of low-Z material from significant deviations through smaller path lengths of a high-Z target. An analytical function, derived by fitting the muon momentum distribution in a selected range has been used to predict the momentum of individual events. The scattering angles have been normalized by the predicted momenta to improve the material discrimination.