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An FPGA based track finder for the L1 trigger of the CMS experiment at the High Luminosity LHC

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Title: An FPGA based track finder for the L1 trigger of the CMS experiment at the High Luminosity LHC
Authors: Aggleton, R
Ardila-Perez, LE
Ball, FA
Balzer, MN
Boudoul, G
Brooke, J
Caselle, M
Calligaris, L
Cieri, D
Clement, E
Dutta, S
Hall, G
Harder, K
Hobson, PR
Iles, GM
James, TO
Manolopoulos, K
Matsushita, T
Morton, AD
Newbold, D
Paramesvaran, S
Pesaresi, M
Pozzobon, N
Reid, ID
Rose, AW
Sander, O
Shepherd-Themistocleous, C
Shtipliyski, A
Schuh, T
Skinnari, L
Summers, SP
Tapper, A
Thea, A
Tomalin, I
Uchida, K
Vichoudis, P
Viret, S
Weber, M
Item Type: Journal Article
Abstract: A new tracking detector is under development for use by the CMS experiment at the High-Luminosity LHC (HL-LHC). A crucial requirement of this upgrade is to provide the ability to reconstruct all charged particle tracks with transverse momentum above 2–3 GeV within 4 μs so they can be used in the Level-1 trigger decision. A concept for an FPGA-based track finder using a fully time-multiplexed architecture is presented, where track candidates are reconstructed using a projective binning algorithm based on the Hough Transform, followed by a combinatorial Kalman Filter. A hardware demonstrator using MP7 processing boards has been assembled to prove the entire system functionality, from the output of the tracker readout boards to the reconstruction of tracks with fitted helix parameters. It successfully operates on one eighth of the tracker solid angle acceptance at a time, processing events taken at 40 MHz, each with up to an average of 200 superimposed proton-proton interactions, whilst satisfying the latency requirement. The demonstrated track-reconstruction system, the chosen architecture, the achievements to date and future options for such a system will be discussed.
Issue Date: 14-Dec-2017
Date of Acceptance: 23-Nov-2017
URI: http://hdl.handle.net/10044/1/55803
DOI: https://dx.doi.org/10.1088/1748-0221/12/12/P12019
ISSN: 1748-0221
Publisher: IOP Publishing
Journal / Book Title: Journal of Instrumentation
Volume: 12
Copyright Statement: Published by IOP Publishing Ltd on behalf of Sissa Medialab. Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Keywords: Science & Technology
Technology
Instruments & Instrumentation
Data reduction methods
Digital electronic circuits
Particle tracking detectors
Pattern recognition
cluster finding
calibration and fitting methods
Nuclear & Particles Physics
Publication Status: Published
Open Access location: http://iopscience.iop.org/article/10.1088/1748-0221/12/12/P12019/meta
Article Number: P12019
Appears in Collections:Physics
High Energy Physics