# Flavor Tagging with Deep Neural Networks at Belle II

- Institution: CERN
- Department: Machine Learning
- Speaker: Jochen Gemmler
- Year: 2017
- Language: English
- Subjects: Computer science
- Source: [CERN](https://videos.cern.ch/record/3017180)
- Licence: [CERN](http://copyright.web.cern.ch)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

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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## Lectures

1. [Flavor Tagging with Deep Neural Networks at Belle II](https://invisiblenetwork.ai/learn/cern/3017180/bab22a56515c), 23 min (CERN's player)