Study of B Meson Flavor Tagging with Deep Neural Networks at Belle and Belle II

Sumitted to PubDB: 2019-10-28

Category: Master Thesis, Visibility: Public

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Authors	Jochen Gemmler
Non-Belle II authors	Michael Feindt, Günter Quast
Date	Jan. 1, 2016
Belle II Number	BELLE2-MTHESIS-2019-007
Abstract	In this thesis, a novel approach for B meson flavor tagging using Deep Neural Networks is presented. Instead of assigning single tracks with dedicated classifiers to single categories and combining them afterwards, this approach considers each event at once. Studies on the classifier performance on Monte Carlo show promising results.
Conference	Karlsruhe