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Jun 9 – 15, 2018
Woodlands Conference Center
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Study of Retina Algorithm on FPGA for Fast Tracking

Jun 12, 2018, 2:40 PM
1h 30m
Woodlands Conference Center

Woodlands Conference Center

159 Visitor Center Dr, Williamsburg, VA 23185
Poster presentation Trigger Systems Poster 1


yifan yang (iihe) Wendi Deng (Université libre de Bruxelles(ULB) - Central China Normal University (CCNU))


Real-time track reconstruction in high energy physics experiments at colliders running at high luminosity is very challenging for trigger systems. To perform pattern-recognition and track fitting, artificial Retina or Hough transformation algorithms have been introduced in the field which have usually to be implemented in the state of the art FPGA devices. In this paper we report on two possible FPGA implementations of the retina algorithm: one using online Floating-Point core and one using Look-up Table and fixed-point representation. Detailed measurements of the performance on hardware designs, including latency, FPGA resource and physics performance are investigated and compared. So far the Retina has mainly be used in a detector configuration made of parallel planes, without or with small magnetic field. In this note we also report on the simulated performance in a detector configuration made of concentric detection layers with high magnetic field.

Institute Université libre de Bruxelles
Description Fast Tracking
Speaker Zixuan Song
Country Belgium
Minioral Yes

Primary author

Zixuan Song (Universite Libre de Bruxelles (ULB)-Central China Normal University(CCNU))


Gilles De Lentdecker (Universite Libre de Bruxelles (BE)) yifan yang (iihe) Dong Wang (Central China Normal University CCNU (CN)) Guangming Huang (Central China Normal University (CCNU)) Frédéric ROBERT (Universite Libre de Bruxelles (ULB)) Wendi Deng (Université libre de Bruxelles(ULB) - Central China Normal University (CCNU))

Presentation materials