Number of the records: 1  

The performance and development for the Inner Detector Trigger algorithms at ATLAS

  1. 1.
    SYSNO ASEP0456770
    Document TypeC - Proceedings Paper (int. conf.)
    R&D Document TypeConference Paper
    TitleThe performance and development for the Inner Detector Trigger algorithms at ATLAS
    Author(s) Penc, Ondřej (FZU-D) ORCID
    Source TitleJournal of Physics: Conference Series. Vol. 608. - Bristol : IOP Publishing Ltd., 2015 - ISSN 1742-6588
    Pagess. 012008
    Number of pages6 s.
    Publication formPrint - P
    Action16th International Workshop on Advanced Computing and Analysis Techniques in Physics Research: Bridging Disciplines, ACAT 2014;
    Event date01.09.2014 - 05.09.2014
    VEvent locationPrague
    CountryCZ - Czech Republic
    Event typeWRD
    Languageeng - English
    CountryGB - United Kingdom
    KeywordsCERN ; ATLAS ; performance ; Inner Detector ; Trigger algorithms
    Subject RIVBF - Elementary Particles and High Energy Physics
    R&D ProjectsLG13009 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    Institutional supportFZU-D - RVO:68378271
    UT WOS000358218000008
    EID SCOPUS84937869481
    DOI10.1088/1742-6596/608/1/012008
    AnnotationA redesign of the tracking algorithms for the ATLAS trigger for LHC's Run 2 starting in 2015 is in progress. The ATLAS HLT software has been restructured to run as a more flexible single stage HLT, instead of two separate stages (Level 2 and Event Filter) as in Run 1. The new tracking strategy employed for Run 2 will use a Fast Track Finder (FTF) algorithm to seed subsequent Precision Tracking, and will result in improved track parameter resolution and faster execution times than achieved during Run 1. The performance of the new algorithms has been evaluated to identify those aspects where code optimisation would be most beneficial. The performance and timing of the algorithms for electron and muon reconstruction in the trigger are presented. The profiling infrastructure, constructed to provide prompt feedback from the optimisation, is described, including the methods used to monitor the relative performance improvements as the code evolves.
    WorkplaceInstitute of Physics
    ContactKristina Potocká, potocka@fzu.cz, Tel.: 220 318 579
    Year of Publishing2016
Number of the records: 1  

  This site uses cookies to make them easier to browse. Learn more about how we use cookies.