Thesis IEKP-KA/2016-11 BELLE2-MTHESIS-2019-007

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

Jochen Frank Gemmler ; Michael Feindt ; Günter Quast

IEKP Karlsruhe Institut of Technology Karlsruhe

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.

Note: Presented on 03 08 2016
Note: MSc

The record appears in these collections:
Books, Theses & Reports > Theses > Masters Theses

 Record created 2019-10-28, last modified 2019-10-28

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