000002945 001__ 2945
000002945 005__ 20220325094137.0
000002945 037__ $$aBELLE2-TALK-CONF-2022-024
000002945 041__ $$aeng
000002945 100__ $$aAbtin Narimani Charan
000002945 245__ $$aIdentification of pions and muons with the Belle II calorimeter using convolutional neural network
000002945 260__ $$aDPG Spring Meeting$$c2022-03-23
000002945 300__ $$a23
000002945 500__ $$a12 minutes
000002945 520__ $$aThe Belle II experiment is located at the asymmetric SuperKEKB e+e- collider in Tsukuba, Japan. The electromagnetic calorimeter (ECL) in Belle II is designed to reconstruct neutral particles. Additionally, the ECL can identify charged particles e.g. electrons, muons and pions. Identification of low-momenta muons and pions in the ECL is crucial if they do not reach the outer muon detector. This talk presents an application of a convolutional neural network (CNN) to separate muons and pions in the ECL using energy deposition patterns of 7x7 crystal images. Due to the high level of beam background, the performance of the CNN in samples with different beam background levels is studied. Finally, the performance of the network is investigated with data control samples of muons and pions.
000002945 6531_ $$aCNN
000002945 6531_ $$aPion-muon separation
000002945 6531_ $$aPID
000002945 6531_ $$aECL 
000002945 700__ $$aTorben Ferber
000002945 8560_ $$fabtin.narimani.charan@desy.de
000002945 8564_ $$uhttps://docs.belle2.org/record/2945/files/BELLE2-TALK-CONF-2022-024.pdf