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Real-time selection using flavour-tagging algorithms in ATLAS
The physics program covered by the ATLAS Collaboration is broad and also includes final states characterized by the presence of $b$-hadrons in their final states. Specialized triggers that exploit flavour tagging techniques, the $b$-jet triggers, have been developed for targeting these topologies. I...
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Lenguaje: | eng |
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2020
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Acceso en línea: | https://dx.doi.org/10.1393/ncc/i2020-20105-5 http://cds.cern.ch/record/2766365 |
_version_ | 1780971297765851136 |
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author | Varni, C |
author_facet | Varni, C |
author_sort | Varni, C |
collection | CERN |
description | The physics program covered by the ATLAS Collaboration is broad and also includes final states characterized by the presence of $b$-hadrons in their final states. Specialized triggers that exploit flavour tagging techniques, the $b$-jet triggers, have been developed for targeting these topologies. In this contribution the use of flavour tagging algorithms at online level and techniques to improve their performance will be presented. |
id | oai-inspirehep.net-1829207 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2020 |
record_format | invenio |
spelling | oai-inspirehep.net-18292072022-11-17T14:32:20Zdoi:10.1393/ncc/i2020-20105-5http://cds.cern.ch/record/2766365engVarni, CReal-time selection using flavour-tagging algorithms in ATLASParticle Physics - ExperimentDetectors and Experimental TechniquesThe physics program covered by the ATLAS Collaboration is broad and also includes final states characterized by the presence of $b$-hadrons in their final states. Specialized triggers that exploit flavour tagging techniques, the $b$-jet triggers, have been developed for targeting these topologies. In this contribution the use of flavour tagging algorithms at online level and techniques to improve their performance will be presented.oai:inspirehep.net:18292072020 |
spellingShingle | Particle Physics - Experiment Detectors and Experimental Techniques Varni, C Real-time selection using flavour-tagging algorithms in ATLAS |
title | Real-time selection using flavour-tagging algorithms in ATLAS |
title_full | Real-time selection using flavour-tagging algorithms in ATLAS |
title_fullStr | Real-time selection using flavour-tagging algorithms in ATLAS |
title_full_unstemmed | Real-time selection using flavour-tagging algorithms in ATLAS |
title_short | Real-time selection using flavour-tagging algorithms in ATLAS |
title_sort | real-time selection using flavour-tagging algorithms in atlas |
topic | Particle Physics - Experiment Detectors and Experimental Techniques |
url | https://dx.doi.org/10.1393/ncc/i2020-20105-5 http://cds.cern.ch/record/2766365 |
work_keys_str_mv | AT varnic realtimeselectionusingflavourtaggingalgorithmsinatlas |