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The ATLAS Trigger algorithms upgrade and performance in Run 2

Title: The ATLAS Trigger algorithms upgrade and performance in Run 2 (TDAQ) The ATLAS trigger has been used very successfully for the online event selection during the first part of the second LHC run (Run-2) in 2015/16 at a center-of-mass energy of 13 TeV. The trigger system is composed of a hardwa...

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Autor principal: Bernius, Catrin
Lenguaje:eng
Publicado: 2017
Materias:
Acceso en línea:http://cds.cern.ch/record/2276781
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author Bernius, Catrin
author_facet Bernius, Catrin
author_sort Bernius, Catrin
collection CERN
description Title: The ATLAS Trigger algorithms upgrade and performance in Run 2 (TDAQ) The ATLAS trigger has been used very successfully for the online event selection during the first part of the second LHC run (Run-2) in 2015/16 at a center-of-mass energy of 13 TeV. The trigger system is composed of a hardware Level-1 trigger and a software-based high-level trigger; it reduces the event rate from the bunch-crossing rate of 40 MHz to an average recording rate of about 1 kHz. The excellent performance of the ATLAS trigger has been vital for the ATLAS physics program of Run-2, selecting interesting collision events for wide variety of physics signatures with high efficiency. The trigger selection capabilities of ATLAS during Run-2 have been significantly improved compared to Run-1, in order to cope with the higher event rates and pile-up which are the result of the almost doubling of the center-of-mass collision energy and the increase in the instantaneous luminosity of the LHC. At the Level-1 trigger the undertaken improvements resulted in more pile-up robust selection efficiencies and event rates and in a reduction of fake candidate particles. A new hardware system, designed to analyze event-topologies, supports a more refined event selection at the Level-1. A hardware-based high-rate track reconstruction, currently being commissioned, enables the software trigger to make use of tracking information at the full input rate. Together with a re-design of the high-level trigger to deploy more offline-like reconstruction techniques, these changes improve the performance of the trigger selection turn-on and efficiency to nearly that of the offline reconstruction. In order to prepare for the anticipated further luminosity increase of the LHC in 2017/18, improving the trigger performance remains an ongoing endeavor. Thereby coping with the large number of pile-up events is one of the most prominent challenges. This presentation gives a short review the ATLAS trigger system and its performance in 2015/16 before describing the significant improvements in selection sensitivity and pile-up robustness, which we implemented in preparation for the expected highest ever luminosities of the 2017/18 LHC.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2017
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spelling cern-22767812019-09-30T06:29:59Zhttp://cds.cern.ch/record/2276781engBernius, CatrinThe ATLAS Trigger algorithms upgrade and performance in Run 2Particle Physics - ExperimentTitle: The ATLAS Trigger algorithms upgrade and performance in Run 2 (TDAQ) The ATLAS trigger has been used very successfully for the online event selection during the first part of the second LHC run (Run-2) in 2015/16 at a center-of-mass energy of 13 TeV. The trigger system is composed of a hardware Level-1 trigger and a software-based high-level trigger; it reduces the event rate from the bunch-crossing rate of 40 MHz to an average recording rate of about 1 kHz. The excellent performance of the ATLAS trigger has been vital for the ATLAS physics program of Run-2, selecting interesting collision events for wide variety of physics signatures with high efficiency. The trigger selection capabilities of ATLAS during Run-2 have been significantly improved compared to Run-1, in order to cope with the higher event rates and pile-up which are the result of the almost doubling of the center-of-mass collision energy and the increase in the instantaneous luminosity of the LHC. At the Level-1 trigger the undertaken improvements resulted in more pile-up robust selection efficiencies and event rates and in a reduction of fake candidate particles. A new hardware system, designed to analyze event-topologies, supports a more refined event selection at the Level-1. A hardware-based high-rate track reconstruction, currently being commissioned, enables the software trigger to make use of tracking information at the full input rate. Together with a re-design of the high-level trigger to deploy more offline-like reconstruction techniques, these changes improve the performance of the trigger selection turn-on and efficiency to nearly that of the offline reconstruction. In order to prepare for the anticipated further luminosity increase of the LHC in 2017/18, improving the trigger performance remains an ongoing endeavor. Thereby coping with the large number of pile-up events is one of the most prominent challenges. This presentation gives a short review the ATLAS trigger system and its performance in 2015/16 before describing the significant improvements in selection sensitivity and pile-up robustness, which we implemented in preparation for the expected highest ever luminosities of the 2017/18 LHC.ATL-DAQ-SLIDE-2017-636oai:cds.cern.ch:22767812017-08-03
spellingShingle Particle Physics - Experiment
Bernius, Catrin
The ATLAS Trigger algorithms upgrade and performance in Run 2
title The ATLAS Trigger algorithms upgrade and performance in Run 2
title_full The ATLAS Trigger algorithms upgrade and performance in Run 2
title_fullStr The ATLAS Trigger algorithms upgrade and performance in Run 2
title_full_unstemmed The ATLAS Trigger algorithms upgrade and performance in Run 2
title_short The ATLAS Trigger algorithms upgrade and performance in Run 2
title_sort atlas trigger algorithms upgrade and performance in run 2
topic Particle Physics - Experiment
url http://cds.cern.ch/record/2276781
work_keys_str_mv AT berniuscatrin theatlastriggeralgorithmsupgradeandperformanceinrun2
AT berniuscatrin atlastriggeralgorithmsupgradeandperformanceinrun2