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Talk23 min

Flavor Tagging with Deep Neural Networks at Belle II

Jochen Gemmler · CERN

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About

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..

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The talk

  1. Flavor Tagging with Deep Neural Networks at Belle II 2017-03-21 · 23 min · CERN's player

Credits and licence

Institution
CERN
Department
Machine Learning
Speaker
Jochen Gemmler
Year
2017
Language
English
Subjects
Computer science
Source
CERN
Licence
CERN, as CERN states it. CERN's terms
Attribution
© CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
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