Jun 5 – 10, 2016
Padova, Italy
Europe/Rome timezone

FPGA online tracking algorithm for the PANDA straw tube tracker

Jun 7, 2016, 3:00 PM
1h 30m
Centro Congressi (Padova)

Centro Congressi


Poster presentation Real Time System Architectures and Intelligent Signal Processing Poster session 1


Dr Yutie Liang (Giessen University)


An FPGA based online tracking algorithm for helix track reconstruction in a solenoidal field, developed for the PANDA spectrometer, is described. Employing the Straw Tube Tracker detector with 4636 straw tubes, the algorithm includes a complex track finder, and a track fitter adopting Xilinx IP cores. Implemented in VHDL, the algorithm is tested on a Vertex4 FX60 FPGA chip with different types of events, at different event rates. A processing time of 7 $\mu$s per event for an average of 6 charged tracks is obtained. The momentum resolution is about 3\% (4\%) for $p_t$ ($p_z$). Comparing to the offline tracking algorithm running at CPU, an improvement of 3 orders of magnitudes in processing time is obtained, however at 3 times worse resolution. The algorithm can deal with severe overlapping of events which are typical for interaction rates above 10 MHz.

Primary author

Dr Yutie Liang (Giessen University)


Wolfgang Kuehn (Justus-Liebig-Universitaet Giessen (DE))

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