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ATLAS High-Level Trigger Algorithms for Run-2 Data Taking

Following the successful Run-1 LHC data-taking, the long shutdown gave the opportunity for significant improvements in the ATLAS trigger capabilities, as a result of the introduction of new or improved Level-1 trigger hardware and significant restructuring of the DAQ infrastructure. To make use of t...

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Autor principal: Schiavi, Carlo
Lenguaje:eng
Publicado: 2015
Materias:
Acceso en línea:http://cds.cern.ch/record/2007824
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author Schiavi, Carlo
author_facet Schiavi, Carlo
author_sort Schiavi, Carlo
collection CERN
description Following the successful Run-1 LHC data-taking, the long shutdown gave the opportunity for significant improvements in the ATLAS trigger capabilities, as a result of the introduction of new or improved Level-1 trigger hardware and significant restructuring of the DAQ infrastructure. To make use of these new capabilities, the High-Level trigger (HLT) software has been to a large extent rewritten, introducing in its turn a plethora of new features and improved algorithms for object reconstruction. The HLT algorithms rely heavily on the offline reconstruction algorithms with the aim to have an even larger efficiency for accepted events than in Run-1. A summary of the HLT algorithms for object reconstruction will be given with the focus on new and improved algorithms together with an outline of the strategy to combine them into a trigger menu. In addition, we will show examples of impressive code speedups and the expected trigger performance for Run-2 data-taking.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2015
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spelling cern-20078242019-09-30T06:29:59Zhttp://cds.cern.ch/record/2007824engSchiavi, CarloATLAS High-Level Trigger Algorithms for Run-2 Data TakingParticle Physics - ExperimentFollowing the successful Run-1 LHC data-taking, the long shutdown gave the opportunity for significant improvements in the ATLAS trigger capabilities, as a result of the introduction of new or improved Level-1 trigger hardware and significant restructuring of the DAQ infrastructure. To make use of these new capabilities, the High-Level trigger (HLT) software has been to a large extent rewritten, introducing in its turn a plethora of new features and improved algorithms for object reconstruction. The HLT algorithms rely heavily on the offline reconstruction algorithms with the aim to have an even larger efficiency for accepted events than in Run-1. A summary of the HLT algorithms for object reconstruction will be given with the focus on new and improved algorithms together with an outline of the strategy to combine them into a trigger menu. In addition, we will show examples of impressive code speedups and the expected trigger performance for Run-2 data-taking.ATL-DAQ-SLIDE-2015-170oai:cds.cern.ch:20078242015-04-09
spellingShingle Particle Physics - Experiment
Schiavi, Carlo
ATLAS High-Level Trigger Algorithms for Run-2 Data Taking
title ATLAS High-Level Trigger Algorithms for Run-2 Data Taking
title_full ATLAS High-Level Trigger Algorithms for Run-2 Data Taking
title_fullStr ATLAS High-Level Trigger Algorithms for Run-2 Data Taking
title_full_unstemmed ATLAS High-Level Trigger Algorithms for Run-2 Data Taking
title_short ATLAS High-Level Trigger Algorithms for Run-2 Data Taking
title_sort atlas high-level trigger algorithms for run-2 data taking
topic Particle Physics - Experiment
url http://cds.cern.ch/record/2007824
work_keys_str_mv AT schiavicarlo atlashighleveltriggeralgorithmsforrun2datataking