The ATLAS Fast TracKer system



Aad, G, Abbott, B, Abbott, DC, Abud, A Abed, Abeling, K, Abhayasinghe, DK, Abidi, SH, AbouZeid, OS, Abraham, NL, Abramowicz, H
et al (show 2876 more authors) (2021) The ATLAS Fast TracKer system. JOURNAL OF INSTRUMENTATION, 16 (7). P07006-.

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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 $\eta$-$\phi$ 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.

Item Type: Article
Additional Information: 64 pages in total, author list starting page 48, 31 figures, 2 tables, published in JINST. All figures including auxiliary figures are available at https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/TDAQ-2019-02/
Uncontrolled Keywords: Modular electronics, Online farms and online filtering, Pattern recognition, cluster finding, calibration and fitting methods, Trigger concepts and systems (hardware and software)
Divisions: Faculty of Science and Engineering > School of Physical Sciences
Depositing User: Symplectic Admin
Date Deposited: 02 Aug 2021 09:43
Last Modified: 18 Jan 2023 21:35
DOI: 10.1088/1748-0221/16/07/P07006
Open Access URL: https://iopscience.iop.org/article/10.1088/1748-02...
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URI: https://livrepository.liverpool.ac.uk/id/eprint/3131599