https://doi.org/10.1051/epjconf/201715000016
FPGA-Based Tracklet Approach to Level-1 Track Finding at CMS for the HL-LHC
1 Cornell University, Ithaca, NY, USA
2 Rutgers University, New Brunswick, NJ, USA
3 University of Notre Dame, South Bend, IN, USA
4 Ohio State University, Columbus, OH, USA
a e-mail: mez34@cornell.edu
Published online: 8 August 2017
During the High Luminosity LHC, the CMS detector will need charged particle tracking at the hardware trigger level to maintain a manageable trigger rate and achieve its physics goals. The tracklet approach is a track-finding algorithm based on a road-search algorithm that has been implemented on commercially available FPGA technology. The tracklet algorithm has achieved high performance in track-finding and completes tracking within 3.4 μs on a Xilinx Virtex-7 FPGA. An overview of the algorithm and its implementation on an FPGA is given, results are shown from a demonstrator test stand and system performance studies are presented.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
