Improvement of Material Discrimination Using Muon Momenta in MST

نویسندگان

چکیده

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 passes through. The scattering angle also incoming momentum key distinguish multiple small deviations through large path-lengths low-Z material from significant smaller path lengths high-Z target. An analytical function, derived fitting distribution selected range has been used predict individual events. angles have normalized predicted momenta improve discrimination.

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ژورنال

عنوان ژورنال: Journal of physics

سال: 2022

ISSN: ['0022-3700', '1747-3721', '0368-3508', '1747-3713']

DOI: https://doi.org/10.1088/1742-6596/2374/1/012187