QUANTITATIVE MATERIAL CHARACTERIZATION METHOD AND SYSTEM BASED ON MULTI-ENERGY PHOTON AND NEUTRON INTERACTION RATIOS WITH REAL-TIME NOISE CORRECTION

Abstract

The present disclosure provides systems and methods for quantitative material characterization using multi-energy photon and neutron interactions are disclosed. Extending traditional dual-energy techniques, the disclosure utilizes multi-dimensional vector analysis from multiple energy bins to enhance material differentiation. The approach leverages distinct energy-dependent behaviors of photoelectric effect (PE), Compton scattering (CS), pair production (PP), Rayleigh scattering, and neutron interactions. By calculating differences, ratios, slopes, and vector angles and directions across energy channels, and constructing two-dimensional (2D) and three-dimensional (3D) vectors, unique material signatures are obtained. Vector angles and trajectories through quadrants correspond to materials like clock hands indicating time, demonstrating identification precision. The disclosure integrates neural networks trained on simulated data and incorporates real-time feedback loops correcting for dark current, noise, and detector drift before vector analysis. This eliminates Poisson and detector noise, ensuring vectors represent material signals matching simulation vectors.

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