Abtin Narimani Charan ; Torben Ferber

23 March 2022
DPG Spring Meeting

Abstract: The Belle II experiment is located at the asymmetric SuperKEKB e+e- collider in Tsukuba, Japan. The electromagnetic calorimeter (ECL) in Belle II is designed to reconstruct neutral particles. Additionally, the ECL can identify charged particles e.g. electrons, muons and pions. Identification of low-momenta muons and pions in the ECL is crucial if they do not reach the outer muon detector. This talk presents an application of a convolutional neural network (CNN) to separate muons and pions in the ECL using energy deposition patterns of 7x7 crystal images. Due to the high level of beam background, the performance of the CNN in samples with different beam background levels is studied. Finally, the performance of the network is investigated with data control samples of muons and pions.

Keyword(s): CNN ; Pion-muon separation ; PID ; ECL
Note: 12 minutes