An online fast multi-track locating algorithm for high-resolution single-event effect test platform

نویسندگان

چکیده

Abstract To improve the efficiency and accuracy of single-event effect (SEE) research at Heavy Ion Research Facility Lanzhou, Hi’Beam-SEE must precisely localize position which each heavy ion hitting integrated circuit (IC) causes SEE. In this study, we propose a fast multi-track location (FML) method based on deep learning to locate particle track with high speed accuracy. FML can process vast amount data supplied by online, revealing sensitive areas in real time. is slot-based object-centric encoder–decoder structure slot learn information image. make more accurate for data, designed an algorithm generate simulated dataset distribution similar that was then used train model. Extensive comparison experiments demonstrated method, has best performance datasets, datasets as well. particular, reach 238 fps standard error 1.6237 μm. This study discusses design FML.

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ژورنال

عنوان ژورنال: Nuclear Science and Techniques

سال: 2023

ISSN: ['1001-8042', '2210-3147']

DOI: https://doi.org/10.1007/s41365-023-01222-2