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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
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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;
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FPGA-based tracking for the CMS Level-1 trigger using the tracklet algorithm
/ Bartz, E. (Rutgers U., Piscataway (main)) ; Boudoul, G. (IP2I, Lyon) ; Bucci, R. (Notre Dame U.) ; Chaves, J. (Cornell U.) ; Clement, E. (Bristol U.) ; Cranshaw, D. (Cornell U.) ; Dutta, S. (Saha Inst.) ; Gershtein, Y. (Rutgers U., Piscataway (main)) ; Glein, R. (Colorado U.) ; Hahn, K. (Northwestern 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. [...]
arXiv:1910.09970; CMS NOTE -2019/005.-
2020-06-23 - 30 p.
- Published in : JINST 15 (2020) P06024
Fulltext: PDF;
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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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7.
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FPGA-Based Tracklet Approach to Level-1 Track Finding at CMS for the HL-LHC
/ Bartz, Edward (Rutgers U., Piscataway (main)) ; Chaves, Jorge (Cornell U.) ; Gershtein, Yuri (Rutgers U., Piscataway (main)) ; Halkiadakis, Eva (Rutgers U., Piscataway (main)) ; Hildreth, Michael (Notre Dame U.) ; Kyriacou, Savvas (Rutgers U., Piscataway (main)) ; Lannon, Kevin (Notre Dame U.) ; Lefeld, Anthony (Ohio State U.) ; Ryd, Anders (Cornell U.) ; Skinnari, Louise (Cornell U.) et al.
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. [...]
arXiv:1706.09225.-
2017 - 11 p.
- Published in : EPJ Web Conf. 150 (2017) 00016
Fulltext: epjconf_ctdw2017_00016 - PDF; arXiv:1706.09225 - PDF;
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10.
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Performance of the CMS Level-1 trigger in proton-proton collisions at $\sqrt{s} = $ 13 TeV
/ CMS Collaboration
At the start of Run 2 in 2015, the LHC delivered proton-proton collisions at a center-of-mass energy of 13 TeV. During Run 2 (years 2015-2018) the LHC eventually reached a luminosity of 2.1 $\times $ 10$^{34} $ cm$^{-2}$s$^{-1}$, almost three times that reached during Run 1 (2009-2013) and a factor of two larger than the LHC design value, leading to events with up to a mean of about 50 simultaneous inelastic proton-proton collisions per bunch crossing (pileup). [...]
arXiv:2006.10165; CMS-TRG-17-001; CERN-EP-2020-065; CMS-TRG-17-001-003.-
Geneva : CERN, 2020-10-19 - 63 p.
- Published in : JINST 15 (2020) P10017
Fulltext: CMS-TRG-17-001-arXiv - PDF; 2006.10165 - PDF; Fulltext from Publisher: PDF; Fulltext from publisher: PDF; External links: Additional information for the analysis; CMS AuthorList
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