FPGA Online Tracking Algorithm for the PANDA Straw Tube Tracker
| Autor: | Liang, Yutie, Ye, Hua, Galuska, Martin J, Gessler, Thomas, Kühn, Wolfgang, Lange, Jens Sören, Wagner, Milan N, Liu, Zhen'an, Zhao, Jingzhou |
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| Rok vydání: | 2016 |
| Předmět: | |
| Druh dokumentu: | Working Paper |
| DOI: | 10.1109/TNS.2017.2683538 |
| Popis: | A novel 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. Implemented in VHDL, the algorithm is tested on a Xilinx Virtex-4 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 $p_t$ ($p_z$) at 1 GeV/c. Comparing to the algorithm running on a CPU chip (single core Intel Xeon E5520 at 2.26 GHz), an improvement of 3 orders of magnitude in processing time is obtained. The algorithm can handle severe overlapping of events which are typical for interaction rates above 10 MHz. Comment: 7 pages, 10 figures |
| Databáze: | arXiv |
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