The ATLAS fast TracKer system

The ATLAS collaboration

doi:10.1088/1748-0221/16/07/P07006

The ATLAS fast TracKer system

The ATLAS collaboration

Stony Brook University

Aix-Marseille Université
University of Oklahoma
University of Massachusetts
CERN
University of Göttingen
Royal Holloway University of London
United States Department of Energy
University of Copenhagen
University of Sussex
Tel Aviv University
Technion-Israel Institute of Technology
Argonne National Laboratory
National Institute for Nuclear Physics
Abdus Salam International Centre for Theoretical Physics
King's College London
Johannes Gutenberg University Mainz
Université Grenoble Alpes
AGH University of Krakow
University of Toronto
Northern Illinois University
Bogazici University
Istanbul University
University of Geneva
Rutherford Appleton Laboratory
University of California at Santa Cruz
Université Paris-Saclay
Université Clermont Auvergne
Radboud University Nijmegen
Alexandru Ioan Cuza University of Iaşi
Laboratório de Instrumentação e Física Experimental de Partículas
University of Granada
IFT-UAM/CSIC
Joint Institute for Nuclear Research
McGill University
University of California at Berkeley
University of Rome Tor Vergata
Kyoto University
Lund University
P.N. Lebedev Physical Institute of the Russian Academy of Sciences
University of Bologna
University of Victoria BC

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

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.

Original language	English
Article number	P07006
Journal	Journal of Instrumentation
Volume	16
Issue number	7
DOIs	https://doi.org/10.1088/1748-0221/16/07/P07006
State	Published - Jul 2021

Keywords

Calibration and fitting methods
Cluster finding
Modular electronics
Online farms and online filtering
Pattern recognition
Trigger concepts and systems (hardware and software)

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10.1088/1748-0221/16/07/P07006

Cite this

@article{abda720b861049d78286b30343d7bdfc,

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)",

author = "\{The ATLAS collaboration\} and G. Aad and B. Abbott and Abbott, \{D. C.\} and Abud, \{A. Abed\} and K. Abeling and Abhayasinghe, \{D. K.\} and Abidi, \{S. H.\} and AbouZeid, \{O. S.\} and Abraham, \{N. L.\} and H. Abramowicz and H. Abreu and Y. Abulaiti and Acharya, \{B. S.\} and B. Achkar and L. Adam and Bourdarios, \{C. Adam\} and L. Adamczyk and L. Adamek and J. Adelman and A. Adiguzel and S. Adorni and T. Adye and Affolder, \{A. A.\} and Y. Afik and C. Agapopoulou and Agaras, \{M. N.\} and A. Aggarwal and C. Agheorghiesei and Aguilar-Saavedra, \{J. A.\} and A. Ahmad and F. Ahmadov and Ahmed, \{W. S.\} and X. Ai and G. Aielli and S. Akatsuka and M. Akbiyik and {\AA}kesson, \{T. P.A.\} and E. Akilli and Akimov, \{A. V.\} and \{Al Khoury\}, K. and Alberghi, \{G. L.\} and J. Albert and P. Albicocco and H. Arnold and \{da Via\}, C. and V. Dao and J. Hobbs and J. Jia and G. Piacquadio and D. Tsybychev",

note = "Publisher Copyright: {\textcopyright} The ATLAS collaboration",

year = "2021",

month = jul,

doi = "10.1088/1748-0221/16/07/P07006",

language = "English",

volume = "16",

journal = "Journal of Instrumentation",

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T1 - The ATLAS fast TracKer system

AU - The ATLAS collaboration

AU - Aad, G.

AU - Abbott, B.

AU - Abbott, D. C.

AU - Abud, A. Abed

AU - Abeling, K.

AU - Abhayasinghe, D. K.

AU - Abidi, S. H.

AU - AbouZeid, O. S.

AU - Abraham, N. L.

AU - Abramowicz, H.

AU - Abreu, H.

AU - Abulaiti, Y.

AU - Acharya, B. S.

AU - Achkar, B.

AU - Adam, L.

AU - Bourdarios, C. Adam

AU - Adamczyk, L.

AU - Adamek, L.

AU - Adelman, J.

AU - Adiguzel, A.

AU - Adorni, S.

AU - Adye, T.

AU - Affolder, A. A.

AU - Afik, Y.

AU - Agapopoulou, C.

AU - Agaras, M. N.

AU - Aggarwal, A.

AU - Agheorghiesei, C.

AU - Aguilar-Saavedra, J. A.

AU - Ahmad, A.

AU - Ahmadov, F.

AU - Ahmed, W. S.

AU - Ai, X.

AU - Aielli, G.

AU - Akatsuka, S.

AU - Akbiyik, M.

AU - Åkesson, T. P.A.

AU - Akilli, E.

AU - Akimov, A. V.

AU - Al Khoury, K.

AU - Alberghi, G. L.

AU - Albert, J.

AU - Albicocco, P.

AU - Arnold, H.

AU - da Via, C.

AU - Dao, V.

AU - Hobbs, J.

AU - Jia, J.

AU - Piacquadio, G.

AU - Tsybychev, D.

PY - 2021/7

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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)

UR - https://www.scopus.com/pages/publications/85113807973

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

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

M3 - Article

SN - 1748-0221

VL - 16

JO - Journal of Instrumentation

JF - Journal of Instrumentation

IS - 7

M1 - P07006

ER -

The ATLAS fast TracKer system

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Keywords

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