Jochen Frank Gemmler ; Michael Feindt ; Günter Quast

2016
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