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: Disclosed is a detector unit for tracking high energy particles that has a first panel having a first surface, a second surface and a first support member. The detector unit has a second panel having a first surface, a second surface and a second support member. The detector unit further includes a plurality of first fibres and a plurality of second fibres. The first panel is stacked upon the second panel such that second surface of first panel and second surface of second panel are facing each other. The plurality of first fibres and second fibres have two or more layers of first fibres and second fibres arranged in an interlocking manner in a first set and a second set of parallel grooves of the first panel and second panel.

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.