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Flavor Tagging with Deep Neural Networks at Belle II

<!--HTML-->The Belle II experiment is mainly designed to investigate the decay of B meson pairs from $\Upsilon(4S)$ decays, produced by the asymmetric electron-positron collider SuperKEKB. The determination of the B meson flavor, so-called flavor tagging, plays an important role in analyses a...

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Detalles Bibliográficos
Autor principal: Gemmler, Jochen
Lenguaje:eng
Publicado: 2017
Materias:
Acceso en línea:http://cds.cern.ch/record/2256688
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author Gemmler, Jochen
author_facet Gemmler, Jochen
author_sort Gemmler, Jochen
collection CERN
description <!--HTML-->The Belle II experiment is mainly designed to investigate the decay of B meson pairs from $\Upsilon(4S)$ decays, produced by the asymmetric electron-positron collider SuperKEKB. The determination of the B meson flavor, so-called flavor tagging, plays an important role in analyses and can be inferred in many cases directly from the final state particles. In this talk a successful approach of B meson flavor tagging utilizing a Deep Neural Network is presented. Monte Carlo studies show a significant improvement with respect to the established category-based flavor tagging algorithm.
id cern-2256688
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2017
record_format invenio
spelling cern-22566882022-11-02T22:34:07Zhttp://cds.cern.ch/record/2256688engGemmler, JochenFlavor Tagging with Deep Neural Networks at Belle IIIML Machine Learning WorkshopMachine Learning<!--HTML-->The Belle II experiment is mainly designed to investigate the decay of B meson pairs from $\Upsilon(4S)$ decays, produced by the asymmetric electron-positron collider SuperKEKB. The determination of the B meson flavor, so-called flavor tagging, plays an important role in analyses and can be inferred in many cases directly from the final state particles. In this talk a successful approach of B meson flavor tagging utilizing a Deep Neural Network is presented. Monte Carlo studies show a significant improvement with respect to the established category-based flavor tagging algorithm.oai:cds.cern.ch:22566882017
spellingShingle Machine Learning
Gemmler, Jochen
Flavor Tagging with Deep Neural Networks at Belle II
title Flavor Tagging with Deep Neural Networks at Belle II
title_full Flavor Tagging with Deep Neural Networks at Belle II
title_fullStr Flavor Tagging with Deep Neural Networks at Belle II
title_full_unstemmed Flavor Tagging with Deep Neural Networks at Belle II
title_short Flavor Tagging with Deep Neural Networks at Belle II
title_sort flavor tagging with deep neural networks at belle ii
topic Machine Learning
url http://cds.cern.ch/record/2256688
work_keys_str_mv AT gemmlerjochen flavortaggingwithdeepneuralnetworksatbelleii
AT gemmlerjochen imlmachinelearningworkshop