| Citation: | XU Shou-long, WANG Zhi-lin, HUANG You-Jun, LI Qing-Xin, ZOU Shu-liang. Ionizing particle discrimination and extraction based on morphological imaging features[J]. Chinese Optics. doi: 10.37188/CO.2025-0134
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To reduce pulse pile-up and improve ionizing particle discrimination efficiency. We use a CMOS active pixel sensor to analyze ionizing particle optical responses and propose morphology-based discrimination. Pry comparing the characteristics of response events of different ionizing particles, the regulating mechanisms influenced by gain and integration time are elucidated, and the discrimination effectiveness is verified. Results show α events differ significantly from β and γ events in pixel count, mean pixel value, rectangularity, convexity, and compactness. β and γ events are similar in pixel count, rectangularity, and convexity, but differ in mean pixel value or compactness. Using pixel count, α events were identified with over 99% accuracy. β and γ events were discriminated by mean pixel value with over 82% accuracy. The results provide a new method and basis for ionizing particle identification in mixed radiation fields. It supports nuclear particle discrimination and noise mitigation, providing new approaches and theoretical guidance.
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