Machine learning-based lepton identification with the Belle II electromagnetic calorimeter
Category: Technical Paper, Visibility: Public
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| Authors | Luka Santelj, Abtin Narimani Charan, Marcel Hohmann, Phillip Urquijo, Torben Ferber, Peter Krizan, Anja Novosel, Marco Milesi |
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| Date | Oct. 20, 2022 |
| Belle II Number | BELLE2-PUB-TE-2022-001 |
| Abstract | We present a new model for lepton identification with the Belle II electromagnetic calorimeter (ECL). In the central, barrel region, we use energy-weighted CsI(Tl) crystal images in a convolutional neural network architecture to learn energy deposition patterns of electrons, muons and charged hadrons. In the forward and backward angular regions of the ECL, we exploit higher-level observables associated to the lateral energy spread, and per-crystal pulse shape discrimination information in a set of boosted decision trees trained categorically. |
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