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Performance and development plans for the Inner Detector trigger algorithms at ATLAS

A description of the design and performance of the newly re-implemented tracking algorithms for the ATLAS trigger for LHC Run 2, to commence in spring 2015, is presented. The ATLAS High Level Trigger (HLT) has been restructured to run as a more flexible single stage process, rather than the two sepa...

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Autor principal: Martin-haugh, Stewart
Lenguaje:eng
Publicado: 2015
Materias:
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/664/8/082029
http://cds.cern.ch/record/2016351
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author Martin-haugh, Stewart
author_facet Martin-haugh, Stewart
author_sort Martin-haugh, Stewart
collection CERN
description A description of the design and performance of the newly re-implemented tracking algorithms for the ATLAS trigger for LHC Run 2, to commence in spring 2015, is presented. The ATLAS High Level Trigger (HLT) has been restructured to run as a more flexible single stage process, rather than the two separate Level 2 and Event Filter stages used during Run 1. To make optimal use of this new scenario, a new tracking strategy has been implemented for Run 2. This new strategy will use a FastTrackFinder algorithm to directly seed the subsequent Precision Tracking, and will result in improved track parameter resolution and significantly faster execution times than achieved during Run 1 and with better efficiency. The timings of the algorithms for electron and tau track triggers 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. The online deployment and commissioning are also discussed.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2015
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spelling cern-20163512022-08-10T12:54:40Zdoi:10.1088/1742-6596/664/8/082029http://cds.cern.ch/record/2016351engMartin-haugh, StewartPerformance and development plans for the Inner Detector trigger algorithms at ATLASParticle Physics - ExperimentA description of the design and performance of the newly re-implemented tracking algorithms for the ATLAS trigger for LHC Run 2, to commence in spring 2015, is presented. The ATLAS High Level Trigger (HLT) has been restructured to run as a more flexible single stage process, rather than the two separate Level 2 and Event Filter stages used during Run 1. To make optimal use of this new scenario, a new tracking strategy has been implemented for Run 2. This new strategy will use a FastTrackFinder algorithm to directly seed the subsequent Precision Tracking, and will result in improved track parameter resolution and significantly faster execution times than achieved during Run 1 and with better efficiency. The timings of the algorithms for electron and tau track triggers 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. The online deployment and commissioning are also discussed.ATL-DAQ-PROC-2015-008oai:cds.cern.ch:20163512015-05-14
spellingShingle Particle Physics - Experiment
Martin-haugh, Stewart
Performance and development plans for the Inner Detector trigger algorithms at ATLAS
title Performance and development plans for the Inner Detector trigger algorithms at ATLAS
title_full Performance and development plans for the Inner Detector trigger algorithms at ATLAS
title_fullStr Performance and development plans for the Inner Detector trigger algorithms at ATLAS
title_full_unstemmed Performance and development plans for the Inner Detector trigger algorithms at ATLAS
title_short Performance and development plans for the Inner Detector trigger algorithms at ATLAS
title_sort performance and development plans for the inner detector trigger algorithms at atlas
topic Particle Physics - Experiment
url https://dx.doi.org/10.1088/1742-6596/664/8/082029
http://cds.cern.ch/record/2016351
work_keys_str_mv AT martinhaughstewart performanceanddevelopmentplansfortheinnerdetectortriggeralgorithmsatatlas