Abstract: A system for classifying materials includes at least one hodoscope with at least one first (2D sensitive) detector unit and at least one second (2D sensitive) detector unit, wherein first detector unit and second detector unit are spaced apart by predetermined first distance to configure a volume of interest (VOI) therebetween to receive therein samples of materials within VOI. The system also includes a processor communicably coupled to at least one hodoscope, wherein processor is configured to reconstruct VOI using plurality of spatial resolution units, track high energy particles passing through VOI by identifying spatial resolution units interacting with high energy particles, create dataset using one or more features associated with each of samples of materials, and train machine learning model using dataset of each of samples of materials for classifying materials. Disclosed also a method for classifying materials.

Abstract: A method of detecting and/or identifying a material or article in a volume of interest, comprises: a) detecting, with an input hodoscope, charged particles entering the volume of interest, b) detecting, with an output hodoscope, charged particles leaving the volume of interest, c) associating particles leaving the volume of interest with particles entering the volume of interest and determining therefrom a set of completed trajectories for the particles, d) performing filtering based on the deflections of the particles with completed trajectories, e) calculating a volume density map based on the filtered completed trajectories which passed through each respective voxel, the map representing a number of completed trajectories and/or a total scattering angle; and f) detecting and/or identifying the material or article in the volume of interest from the volume density map.

Abstract: A method of detecting and/or identifying a material or article in a volume of interest, comprises: a) detecting, with an input hodoscope, charged particles entering the volume of interest, b) detecting, with an output hodoscope, charged particles leaving the volume of interest, c) associating particles leaving the volume of interest with particles entering the volume of interest and determining therefrom a set of completed trajectories for the particles, d) performing filtering based on the deflections of the particles with completed trajectories, e) calculating a volume density map based on the filtered completed trajectories which passed through each respective voxel, the map representing a number of completed trajectories and/or a total scattering angle; and f) detecting and/or identifying the material or article in the volume of interest from the volume density map.