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The ATLAS fast TracKer system

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The ATLAS fast TracKer system. / ATLAS Collaboration.
In: Journal of Instrumentation, Vol. 16, No. 7, P07006, 02.07.2021.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

ATLAS Collaboration 2021, 'The ATLAS fast TracKer system', Journal of Instrumentation, vol. 16, no. 7, P07006. https://doi.org/10.1088/1748-0221/16/07/P07006

APA

ATLAS Collaboration (2021). The ATLAS fast TracKer system. Journal of Instrumentation, 16(7), Article P07006. https://doi.org/10.1088/1748-0221/16/07/P07006

Vancouver

ATLAS Collaboration. The ATLAS fast TracKer system. Journal of Instrumentation. 2021 Jul 2;16(7):P07006. doi: 10.1088/1748-0221/16/07/P07006

Author

ATLAS Collaboration. / The ATLAS fast TracKer system. In: Journal of Instrumentation. 2021 ; Vol. 16, No. 7.

Bibtex

@article{e5b74e373e0f4a3287b6cddcc7defe82,
title = "The ATLAS fast TracKer system",
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 η-ϕ 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 = "Calibration and fitting methods, Cluster finding, Modular electronics, Online farms and online filtering, Pattern recognition, Trigger concepts and systems (hardware and software), Associative processing, Data acquisition, Field programmable gate arrays (FPGA), Associative memory, Data acquisition system, High-level triggers, Impact-parameter, On-line softwares, Running-in, Silicon microstrip trackers, Tracker system",
author = "{ATLAS Collaboration} and A.E. Barton and I.A. Bertram and G. Borissov and E.V. Bouhova-Thacker and H. Fox and R.C.W. Henderson and R.W.L. Jones and V. Kartvelishvili and R.E. Long and P.A. Love and D. Muenstermann and Izaac Sanderswood and M. Smizanska and A.S. Tee and A.M. Wharton and B.W. Whitmore and Melissa Yexley",
year = "2021",
month = jul,
day = "2",
doi = "10.1088/1748-0221/16/07/P07006",
language = "English",
volume = "16",
journal = "Journal of Instrumentation",
issn = "1748-0221",
publisher = "Institute of Physics Publishing",
number = "7",

}

RIS

TY - JOUR

T1 - The ATLAS fast TracKer system

AU - ATLAS Collaboration

AU - Barton, A.E.

AU - Bertram, I.A.

AU - Borissov, G.

AU - Bouhova-Thacker, E.V.

AU - Fox, H.

AU - Henderson, R.C.W.

AU - Jones, R.W.L.

AU - Kartvelishvili, V.

AU - Long, R.E.

AU - Love, P.A.

AU - Muenstermann, D.

AU - Sanderswood, Izaac

AU - Smizanska, M.

AU - Tee, A.S.

AU - Wharton, A.M.

AU - Whitmore, B.W.

AU - Yexley, Melissa

PY - 2021/7/2

Y1 - 2021/7/2

N2 - 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 η-ϕ 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.

AB - 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 η-ϕ 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.

KW - Calibration and fitting methods

KW - Cluster finding

KW - Modular electronics

KW - Online farms and online filtering

KW - Pattern recognition

KW - Trigger concepts and systems (hardware and software)

KW - Associative processing

KW - Data acquisition

KW - Field programmable gate arrays (FPGA)

KW - Associative memory

KW - Data acquisition system

KW - High-level triggers

KW - Impact-parameter

KW - On-line softwares

KW - Running-in

KW - Silicon microstrip trackers

KW - Tracker system

U2 - 10.1088/1748-0221/16/07/P07006

DO - 10.1088/1748-0221/16/07/P07006

M3 - Journal article

VL - 16

JO - Journal of Instrumentation

JF - Journal of Instrumentation

SN - 1748-0221

IS - 7

M1 - P07006

ER -