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Performance studies of tracking-based triggering using a fast emulation
Experiments at the High-Luminosity phase of the LHC will face an increased number of interactions per bunch crossing. Several strategies have been evaluated by the ATLAS experiment to improve its trigger strategy in this context. One of the limitations in recovering events with low energy particles...
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Lenguaje: | eng |
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2023
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Acceso en línea: | http://cds.cern.ch/record/2848431 |
_version_ | 1780976841778003968 |
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author | The ATLAS collaboration |
author_facet | The ATLAS collaboration |
author_sort | The ATLAS collaboration |
collection | CERN |
description | Experiments at the High-Luminosity phase of the LHC will face an increased number of interactions per bunch crossing. Several strategies have been evaluated by the ATLAS experiment to improve its trigger strategy in this context. One of the limitations in recovering events with low energy particles is the input rate of the Event Filter which necessitates high thresholds of Level-0 trigger items. As such, the potential use of tracking information prior to the Event Filter could particularly benefit to hadronic and di-lepton signatures. However, traditional track reconstruction techniques are known to be consumptive in terms of time and computational resources. A hardware fast-tracker solution, called L1Track, has been conceived to compute coarse-resolution tracks prior to the Event-Filter step. In this note we introduce a fast emulation of this system, allowing to explore various inputs to the tracking algorithm given the detector readout limits. The performance of simplified trigger algorithms on emulated L1Track tracks are investigated, highlighting the feedback that the emulation enables on the physics potential of a low latency hardware based track trigger. |
id | cern-2848431 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2023 |
record_format | invenio |
spelling | cern-28484312023-02-13T14:39:12Zhttp://cds.cern.ch/record/2848431engThe ATLAS collaborationPerformance studies of tracking-based triggering using a fast emulationParticle Physics - ExperimentExperiments at the High-Luminosity phase of the LHC will face an increased number of interactions per bunch crossing. Several strategies have been evaluated by the ATLAS experiment to improve its trigger strategy in this context. One of the limitations in recovering events with low energy particles is the input rate of the Event Filter which necessitates high thresholds of Level-0 trigger items. As such, the potential use of tracking information prior to the Event Filter could particularly benefit to hadronic and di-lepton signatures. However, traditional track reconstruction techniques are known to be consumptive in terms of time and computational resources. A hardware fast-tracker solution, called L1Track, has been conceived to compute coarse-resolution tracks prior to the Event-Filter step. In this note we introduce a fast emulation of this system, allowing to explore various inputs to the tracking algorithm given the detector readout limits. The performance of simplified trigger algorithms on emulated L1Track tracks are investigated, highlighting the feedback that the emulation enables on the physics potential of a low latency hardware based track trigger.ATL-DAQ-PUB-2023-001oai:cds.cern.ch:28484312023-02-07 |
spellingShingle | Particle Physics - Experiment The ATLAS collaboration Performance studies of tracking-based triggering using a fast emulation |
title | Performance studies of tracking-based triggering using a fast emulation |
title_full | Performance studies of tracking-based triggering using a fast emulation |
title_fullStr | Performance studies of tracking-based triggering using a fast emulation |
title_full_unstemmed | Performance studies of tracking-based triggering using a fast emulation |
title_short | Performance studies of tracking-based triggering using a fast emulation |
title_sort | performance studies of tracking-based triggering using a fast emulation |
topic | Particle Physics - Experiment |
url | http://cds.cern.ch/record/2848431 |
work_keys_str_mv | AT theatlascollaboration performancestudiesoftrackingbasedtriggeringusingafastemulation |