A new segment-based HLT tracking algorithm using 11 patterns and optimized edge matrices reduces global tracking complexity to 400-500 elements at 25% occupancy with 50-70% data compression.
End-to-End multi-track reconstruction using graph neural networks at Belle II,
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A Novel Segment-Based Tracking Algorithm for HLT under High-Occupancy and Complex Conditions
A new segment-based HLT tracking algorithm using 11 patterns and optimized edge matrices reduces global tracking complexity to 400-500 elements at 25% occupancy with 50-70% data compression.