Particle identification at Belle II using Neural Networks

Sumitted to PubDB: 2023-03-15

Category: Talk, Visibility: Public

Tags: -

Authors	Daniel Greenwald, Stephan Paul, Xavier Simo, Stefan Wallner
Date	March 15, 2023
Belle II Number	BELLE2-TALK-CONF-2023-023
Abstract	We will present improvements to the charged-particle identification algorithms used by the Belle II experiment located at KEK, Japan. So far, different approaches have been used to tackle the challenge of combining the information from each subdetector into a single variable for particle identification in an optimal way. We will present evaluations of the performance of a Neural Network based approach that combines information such as the likelihood values from each subdetector and the measured momentum of the particle track. funded by the DFG under Germany’s Excellence Strategy - EXC2094- 390783311 and BMBF Verbundforschung (05H21WOKBA BELLE2)
Conference	DPG Fühjahrstagung