The ATLAS fast TracKer system

The ATLAS collaboration

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

The ATLAS fast TracKer system

The ATLAS collaboration

School of Physics and Astronomy

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

3 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

Funding

Funders	Funder number
Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)
BSF-NSF
Agence Nationale de la Recherche
Australian Research Council
La Caixa Banking Foundation
Centre National pour la Recherche Scientifique et Technique
Fundação para a Ciência e a Tecnologia
National Research Foundation of Korea
Narodowe Centrum Nauki
National Science Foundation
CEA-DRF
Science and Technology Facilities Council
H2020 Marie Skłodowska-Curie Actions
Japan Society for the Promotion of Science
INFN-CNAF
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Ministerio de Ciencia e Innovación
Ministry of Science and Technology, Taiwan
Israel Science Foundation
Institut de Valorisation des Données
Wallenberg Foundation
Leverhulme Trust
PROMETEO
Staatssekretariat für Bildung, Forschung und Innovation
Javna Agencija za Raziskovalno Dejavnost RS
Generalitat de Catalunya
Instituto Nazionale di Fisica Nucleare
Bundesministerium für Wissenschaft, Forschung und Wirtschaft
Austrian Science Fund
Department of Science and Technology, Ministry of Science and Technology, India
ASGC (Taiwan)
Agencia Nacional de Investigación y Desarrollo
Bundesministerium für Bildung und Forschung
Canada Foundation for Innovation
Helmholtz-Gemeinschaft
Danmarks Grundforskningsfond
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Czech Republic
Karlsruhe Institute of Technology
Canarie
GridKA
Göran Gustafssons Stiftelser
MIZŠ
Deutsche Forschungsgemeinschaft
Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja
U.S. Department of Energy
European Cooperation in Science and Technology
EU-ESF
Beijing Municipal Science and Technology Commission
RGC
Fundação de Amparo à Pesquisa do Estado de São Paulo
MES of Russia
National Research Center "Kurchatov Institute"
Natural Sciences and Engineering Research Council of Canada
General Secretariat for Research and Technology
Nella and Leon Benoziyo Center for Neurological Diseases, Weizmann Institute of Science
GenT Programmes Generalitat Valenciana, Spain
German-Israeli Foundation for Scientific Research and Development
Cantons of Bern and Geneva
Chinese Academy of Sciences
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
VSC CR
Agencia Nacional de Promoción Científica y Tecnológica
Royal Society
European Research Council
European Regional Development Fund
Ministerstwo Edukacji i Nauki
IRFU
CERN
Joint Institute for Nuclear Research
Ministerstvo Školství, Mládeže a Tělovýchovy
National Research Council Canada
Brookhaven National Laboratory
Alexander von Humboldt-Stiftung
Multiple Sclerosis Scientific Research Foundation
Council on grants of the President of the Russian Federation
Horizon 2020
British Columbia Knowledge Development Fund
Ministry of Education, Culture, Sports, Science and Technology
National Natural Science Foundation of China
Azərbaycan Milli Elmlər Akademiyası
NDGF	CC-IN2P3
DNSRC	IN2P3-CNRS
Horizon 2020 Framework Programme	754510

Keywords

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

Access to Document

10.1088/1748-0221/16/07/P07006

Cite this

@article{e9b5bcd034504566ba94476d89163773,

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 Verzini, {M. J.Alconada} and L. Barak and U. Barron and G. Bella and Y. Benhammou and Biswal, {J. P.} and B. Chen and H. Cohen and E. Etzion and G. Koren and O. Kuprash and Lutz, {M. S.} and Dominguez, {L. Pascual} and D. Reikher and A. Soffer and Tamir, {N. M.} and D. Vannicola",

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

year = "2021",

month = jul,

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

language = "אנגלית",

volume = "16",

journal = "Journal of Instrumentation",

issn = "1748-0221",

publisher = "IOP Publishing Ltd.",

number = "7",

}

TY - JOUR

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 - Verzini, M. J.Alconada

AU - Barak, L.

AU - Barron, U.

AU - Bella, G.

AU - Benhammou, Y.

AU - Biswal, J. P.

AU - Chen, B.

AU - Cohen, H.

AU - Etzion, E.

AU - Koren, G.

AU - Kuprash, O.

AU - Lutz, M. S.

AU - Dominguez, L. Pascual

AU - Reikher, D.

AU - Soffer, A.

AU - Tamir, N. M.

AU - Vannicola, D.

PY - 2021/7

Y1 - 2021/7

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)

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VL - 16

JO - Journal of Instrumentation

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M1 - P07006

ER -

The ATLAS fast TracKer system

Abstract

Funding

Keywords

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