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Hybrid pattern recognition for charged particle tracking: Hough transform and convolutional neural efficiency networks
Reconstructing charged-particle tracks in silicon detectors is a central task in high-energy physics experiments and a key component of both offline reconstruction and online event selection. Within the reconstruction chain, the efficient and high-purity formation of track candidates plays a critica
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