File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: The ATLAS Fast TracKer system

TitleThe ATLAS Fast TracKer system
Authors
Issue Date2021
PublisherIOP Publishing. The Journal's web site is located at http://www.iop.org/EJ/journal/1748-0221
Citation
Journal of Instrumentation, 2021, v. 16 n. 7, p. P07006:1-60 How to Cite?
AbstractThe 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.
Persistent Identifierhttp://hdl.handle.net/10722/320289
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorParedes Hernandez, DK-
dc.contributor.authorPeng, C-
dc.contributor.authorTAM, KC-
dc.contributor.authorTu, Y-
dc.contributor.authorPizzimento, L-
dc.date.accessioned2022-10-21T07:50:30Z-
dc.date.available2022-10-21T07:50:30Z-
dc.date.issued2021-
dc.identifier.citationJournal of Instrumentation, 2021, v. 16 n. 7, p. P07006:1-60-
dc.identifier.urihttp://hdl.handle.net/10722/320289-
dc.description.abstractThe 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.-
dc.languageeng-
dc.publisherIOP Publishing. The Journal's web site is located at http://www.iop.org/EJ/journal/1748-0221-
dc.relation.ispartofJournal of Instrumentation-
dc.rightsJournal of Instrumentation. Copyright © IOP Publishing.-
dc.rightsThis is an author-created, un-copyedited version of an article published in [insert name of journal]. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at http://dx.doi.org/[insert DOI].-
dc.titleThe ATLAS Fast TracKer system-
dc.typeArticle-
dc.identifier.email(ATLAS Collaboration) Paredes Hernandez, DK: dparedes@hku.hk-
dc.identifier.email(ATLAS Collaboration) Tu, Y: yanjuntu@hku.hk-
dc.identifier.authority(ATLAS Collaboration) Tu, Y=rp01971-
dc.identifier.doi10.1088/1748-0221/16/07/P07006-
dc.identifier.scopuseid_2-s2.0-85113807973-
dc.identifier.hkuros340156-
dc.identifier.volume16-
dc.identifier.issue7-
dc.identifier.spageP07006:1-
dc.identifier.epage60-
dc.identifier.isiWOS:000791152800006-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats