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1.
FPGA-based tracking for the CMS Level-1 trigger using the tracklet algorithm / Bartz, Edward Hugo (Rutgers U., Piscataway) ; Gershtein, Yury (Rutgers U., Piscataway) ; Halkiadakis, Eva (Rutgers U., Piscataway) ; Kyriacou, Savvas (Johns Hopkins U.) ; Stone, Robert (Rutgers U., Piscataway) ; Boudoul, Gaelle (Lyon, IPN) ; Viret, Sebastien (Lyon, IPN) ; Bucci, Rachael Elizabeth (Notre Dame U.) ; Hildreth, Michael (Notre Dame U.) ; Lannon, Kevin Patrick (Notre Dame U.) et al.
The high instantaneous luminosities expected following the upgrade of the Large Hadron Collider (LHC) to the High Luminosity LHC (HL-LHC) pose major experimental challenges for the CMS experiment. A central component to allow efficient operation under these conditions is the reconstruction of charged particle trajectories and their inclusion in the hardware-based trigger system. [...]
CMS-NOTE-2019-005; CERN-CMS-NOTE-2019-005.- Geneva : CERN, 2019 - 32 p. Fulltext: PDF;
2.
FPGA-based Real-time Charged Particle Trajectory Reconstruction at the Large Hadron Collider / Bartz, Edward Hugo (Rutgers U., Piscataway) ; Chaves, Jorge Enrique (Cornell U.) ; Gershtein, Yury (Rutgers U., Piscataway) ; Halkiadakis, Eva (Rutgers U., Piscataway) ; Hildreth, Michael (Notre Dame U.) ; Kyriacou, Savvas (Rutgers U., Piscataway) ; Lannon, Kevin Patrick (Notre Dame U.) ; Lefeld, Anthony James (Ohio State U.) ; Ryd, Anders Per Erik (Cornell U.) ; Skinnari, Louise (Cornell U.) et al.
The upgrades of the Compact Muon Solenoid particle physics experiment at CERN's Large Hadron Collider provide a major challenge for the real-time collision data selection. This paper presents a novel approach to pattern recognition and charged particle trajectory reconstruction using an all-FPGA solution. [...]
CMS-CR-2017-100.- Geneva : CERN, 2017 - 9 p. Fulltext: PDF;
In : 25th Annual International Symposium on Field-Programmable Custom Computing Machines, Napa, CA, USA, 30 Apr - 2 May 2017
3.
FPGA-Based Approach to Level-1 Track Finding at CMS for the HL-LHC / Bartz, Edward Hugo (Rutgers U., Piscataway) ; Chaves, Jorge Enrique (Cornell U.) ; Gershtein, Yury (Rutgers U., Piscataway) ; Halkiadakis, Eva (Rutgers U., Piscataway) ; Hildreth, Michael (Notre Dame U.) ; Kyriacou, Savvas (Rutgers U., Piscataway) ; Lannon, Kevin Patrick (Notre Dame U.) ; Lefeld, Anthony James (Ohio State U.) ; Ryd, Anders Per Erik (Cornell U.) ; Skinnari, Louise (Cornell U.) et al.
During the High Luminosity LHC, to maintain a manageable trigger rate and achieve its physics goals, the CMS detector will need charged particle tracking at the hardware trigger level. The tracklet approach is a track-finding algorithm based on a road-search algorithm that has been implemented on commercially available FPGA technology. [...]
CMS-CR-2017-114.- Geneva : CERN, 2017 - 12 p. Fulltext: PDF;
In : Connecting The Dots / Intelligent Trackers 2017, Orsay, France, 6 - 9 Mar 2017

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