Method and apparatus for reconstructing particle track, and inspection method and inspection device

Abstract

A method and apparatus for reconstructing a track of cosmic ray particles, and an inspection method and inspection apparatus are disclosed. The method includes: detecting cosmic ray particles by usinga cosmic ray particle detector, wherein the cosmic ray particle detector includes at least one scintillator and a plurality of drift tubes, and charged particles in at least two of the plurality of drift tubes are drifted under the action of the cosmic ray particles; using at least one scintillator to record the time null point of the cosmic ray particles incident on the cosmic ray particle detector; calculating the drift time of the charged particles in the at least two drift tubes according to the time null point; determining positions at which the cosmic ray particles are incident on the at least two drift tubes on the basis of the calculated drift time; and fitting the track of the cosmic ray particles according to the determined positions at which the cosmic ray particles are incident on the at least two drift tubes.

Description

technical field [0001] The present disclosure relates to radiation detection technology, in particular to a method and device for reconstructing the track of cosmic ray particles, and a device and method for inspecting inspected objects such as container trucks. Background technique [0002] Cosmic ray imaging technology uses cosmic rays that naturally exist in nature as radiation sources, has strong penetrating power, and has no external radiation. It has been proven that it can be used to inspect high atomic number materials such as nuclear fuel, nuclear waste, and shielding, as well as drugs, explosives, etc. - Low atomic number materials. [0003] The key to cosmic ray inspection and material identification lies in the method of track reconstruction of cosmic ray particles. The current track reconstruction method mainly obtains the optimal solution through linear fitting and iterative algorithm, and the initial value of the iterative is selected empirically. This track...

AI Technical Summary

Problems solved by technology

This track reconstruction method is too dependent on experience. When the initial value deviates greatly or the performance of the drift tube varies greatly, large errors will occur, and the positioning accuracy and reconstruction effect are not good.

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