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Jet flavour tagging for the ATLAS Experiment
Jet flavour tagging for the ATLAS Experiment The ability to identify jets stemming from the hadronisation of b-quarks (b-jets) is crucial for the physics program of ATLAS. The higher pileup conditions and the growing interest for measurements including c-jets and for searches in the high transverse...
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Lenguaje: | eng |
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2021
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Acceso en línea: | http://cds.cern.ch/record/2782011 |
_version_ | 1780971975800258560 |
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author | Shlomi, Jonathan |
author_facet | Shlomi, Jonathan |
author_sort | Shlomi, Jonathan |
collection | CERN |
description | Jet flavour tagging for the ATLAS Experiment The ability to identify jets stemming from the hadronisation of b-quarks (b-jets) is crucial for the physics program of ATLAS. The higher pileup conditions and the growing interest for measurements including c-jets and for searches in the high transverse momentum regime make the task more and more complex. The algorithms responsible for establishing the jet’s flavour are evolving quickly, exploiting powerful multivariate and deep machine learning techniques. Flavour-tagging techniques in ATLAS will be reviewed, presenting the state-of-the-art in terms of algorithms. |
id | cern-2782011 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2021 |
record_format | invenio |
spelling | cern-27820112021-09-24T20:25:55Zhttp://cds.cern.ch/record/2782011engShlomi, JonathanJet flavour tagging for the ATLAS ExperimentParticle Physics - ExperimentJet flavour tagging for the ATLAS Experiment The ability to identify jets stemming from the hadronisation of b-quarks (b-jets) is crucial for the physics program of ATLAS. The higher pileup conditions and the growing interest for measurements including c-jets and for searches in the high transverse momentum regime make the task more and more complex. The algorithms responsible for establishing the jet’s flavour are evolving quickly, exploiting powerful multivariate and deep machine learning techniques. Flavour-tagging techniques in ATLAS will be reviewed, presenting the state-of-the-art in terms of algorithms.ATL-PHYS-SLIDE-2021-563oai:cds.cern.ch:27820112021-09-23 |
spellingShingle | Particle Physics - Experiment Shlomi, Jonathan Jet flavour tagging for the ATLAS Experiment |
title | Jet flavour tagging for the ATLAS Experiment |
title_full | Jet flavour tagging for the ATLAS Experiment |
title_fullStr | Jet flavour tagging for the ATLAS Experiment |
title_full_unstemmed | Jet flavour tagging for the ATLAS Experiment |
title_short | Jet flavour tagging for the ATLAS Experiment |
title_sort | jet flavour tagging for the atlas experiment |
topic | Particle Physics - Experiment |
url | http://cds.cern.ch/record/2782011 |
work_keys_str_mv | AT shlomijonathan jetflavourtaggingfortheatlasexperiment |