Design and Energy Spectrum Performance Optimization of a Portable Gamma Detector Based on Perovskite Materials

This study presents a compact gamma-ray detector based on all-inorganic halide perovskite CsPbBr3, targeting high energy resolution and low-cost fabrication for nuclear security applications. The active layer was prepared via solution-based spin-coating, combined with surface passivation and multidimensional heterojunction engineering to enhance the carrier mobility–lifetime product (μτ) to 10-3 cm2/V. The optimized device achieved an energy resolution of 4.3% at 662 keV (FWHM), approaching the performance of CdZnTe detectors while reducing fabrication cost by over 70%. A convolutional neural network (CNN) was further integrated for energy spectrum deconvolution and source classification, enabling millisecond-level response and accurate identification. The final system features low power consumption (<100 mW), miniaturized packaging, and robust environmental stability, making it suitable for real-time deployment in field scenarios such as customs inspection and radiological emergency response.