FPGA Online Tracking Algorithm for the PANDA Straw Tube Tracker
文献类型:期刊论文
作者 | Liang, YT; Ye H(叶桦); Ye, H![]() ![]() ![]() |
刊名 | IEEE TRANSACTIONS ON NUCLEAR SCIENCE
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出版日期 | 2017 |
卷号 | 64期号:6页码:1331-1337 |
关键词 | Data acquisition (DAQ) field-programmable gate arrays (FPGAs) particle tracking |
ISSN号 | 0018-9499 |
DOI | 10.1109/TNS.2017.2683538 |
文献子类 | Article |
英文摘要 | A novel field-programmable gate array (FPGA)-based online tracking algorithm for helix track reconstruction in a solenoidal field, developed for the Antiproton Annihilations at Darmstadt 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 six charged tracks is obtained. The momentum resolution is about 3%(4%) for p(t) (p(z)) at 1 GeV/c. Comparing with the algorithm running on a CPU chip (single core Intel Xeon E5520 at 2.26 GHz), an improvement of three 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. |
电子版国际标准刊号 | 1558-1578 |
WOS关键词 | TRIGGER |
WOS研究方向 | Engineering ; Nuclear Science & Technology |
语种 | 英语 |
WOS记录号 | WOS:000404973000021 |
源URL | [http://ir.ihep.ac.cn/handle/311005/284790] ![]() |
专题 | 高能物理研究所_实验物理中心 |
作者单位 | 中国科学院高能物理研究所 |
推荐引用方式 GB/T 7714 | Liang, YT,Ye H,Ye, H,et al. FPGA Online Tracking Algorithm for the PANDA Straw Tube Tracker[J]. IEEE TRANSACTIONS ON NUCLEAR SCIENCE,2017,64(6):1331-1337. |
APA | Liang, YT.,叶桦.,Ye, H.,Galuska, MJ.,Gessler, T.,...&赵京周.(2017).FPGA Online Tracking Algorithm for the PANDA Straw Tube Tracker.IEEE TRANSACTIONS ON NUCLEAR SCIENCE,64(6),1331-1337. |
MLA | Liang, YT,et al."FPGA Online Tracking Algorithm for the PANDA Straw Tube Tracker".IEEE TRANSACTIONS ON NUCLEAR SCIENCE 64.6(2017):1331-1337. |
入库方式: OAI收割
来源:高能物理研究所
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