Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/135336
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Type: Journal article
Title: The ATLAS Fast TracKer system
Author: Aad, G.
Abbott, B.
Abbott, D.C.
Abed Abud, A.
Abeling, K.
Abhayasinghe, D.K.
Abidi, S.H.
AbouZeid, O.S.
Abraham, N.L.
Abramowicz, H.
Abreu, H.
Abulaiti, Y.
Acharya, B.S.
Achkar, B.
Adam, L.
Adam Bourdarios, C.
Adamczyk, L.
Adamek, L.
Adelman, J.
Adiguzel, A.
et al.
Citation: Journal of Instrumentation, 2021; 16(7):P07006-1-P07006-62
Publisher: IOP Publishing
Issue Date: 2021
ISSN: 1748-0221
1748-0221
Statement of
Responsibility: 
G. Aad ... D. Duvnjak ... P. Jackson ... A.X.Y. Kong ... J.L. Oliver ... H. Potti ... T.A. Ruggeri ... A.S. Sharma ... M.J. White ... et. al. [The ATLAS Collaboration]
Abstract: The ATLAS Fast TracKer (FTK) was designed to provide full tracking for the ATLAS high-level trigger by using pattern recognition based on Associative Memory (AM) chips and fitting in high-speed field programmable gate arrays. The tracks found by the FTK are based on inputs from all modules of the pixel and silicon microstrip trackers. The as-built FTK system and components are described, as is the online software used to control them while running in the ATLAS data acquisition system. Also described is the simulation of the FTK hardware and the optimization of the AM pattern banks. An optimization for long-lived particles with large impact parameter values is included. A test of the FTK system with the data playback facility that allowed the FTK to be commissioned during the shutdown between Run 2 and Run 3 of the LHC is reported. The resulting tracks from part of the FTK system covering a limited ๐œ‚โ€“๐œ™ region of the detector are compared with the output from the FTK simulation. It is shown that FTK performance is in good agreement with the simulation.
Keywords: Modular electronics
Online farms and online filtering
Pattern recognition
cluster finding
calibration and fitting methods
Trigger concepts and systems (hardware and software)
Rights: ยฉ 2021 CERN. 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 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
DOI: 10.1088/1748-0221/16/07/p07006
Published version: http://dx.doi.org/10.1088/1748-0221/16/07/p07006
Appears in Collections:Physics publications

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