| Preprint | |
| Report number | arXiv:1901.03745 |
| Title | Level-1 Track Finding with an all-FPGA system at CMS for the HL-LHC |
| Author(s) | Tao, Zhengcheng (Cornell U.) |
| Publication | 2019 |
| Collaboration | CMS Tracker Group Collaboration |
| Imprint | 2019-01-11 |
| Number of pages | 11 |
| Note | * Temporary entry * * Temporary entry * Submitted to the proceedings of Connecting The Dots 2018 |
| Presented at | 4th International Workshop Connecting The Dots 2018, Seattle, Washington, 20 - 22 Mar 2018, pp. |
| Subject category | hep-ex ; Particle Physics - Experiment ; physics.ins-det ; Detectors and Experimental Techniques |
| Abstract | With the High Luminosity LHC upgrades, incorporating tracking information into the CMS Level-1 trigger becomes necessary in order to maintain a manageable trigger rate and good trigger performance e.g. to retain thresholds for electroweak physics. The main challenges Level-1 track finding faces are the large data throughput from the detector at a collision rate of 40 MHz and a 4 microsecond latency budget to reconstruct charged particle tracks with sufficiently low transverse momentum to be used in the Level-1 trigger decision. Dedicated all-FPGA hardware systems with time-multiplexed architecture have been developed for track finding to address these challenges. The algorithm and performance of the pattern recognition and particle trajectory determination are discussed. The implementation on customized electronics with commercially available FPGAs is presented as well. |
| Other source | Inspire |
| Copyright/License | preprint: (License: arXiv nonexclusive-distrib 1.0) |
Notice créée le 2019-01-16, modifiée le 2019-11-04
