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Identification of light leptons and pions in the electromagnetic calorimeter of Belle II
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Identification of light leptons and pions in the electromagnetic calorimeter of Belle II
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The paper discusses new method for electron/pion and muon/pion separation in the Belle II detector at transverse momenta below 0.7 $\mathrm{GeV}/c$, which is essential for efficient measurements of semi-leptonic decays of $B$ mesons with tau lepton in the final state. The method is based on the analysis of patterns in the electromagnetic calorimeter by using a Convolutional Neural Network (CNN).
Forward citations
Cited by 2 Pith papers
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Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter
A GNN-based calorimeter clustering and signal classifier ran on an FPGA inside the Belle II L1 trigger readout path, improving position resolution and photon separation at the cost of exceeding the trigger decision latency.
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Charged-lepton identification at Belle~II
Belle II describes its charged-lepton identification algorithms and reports performance on 428 fb^{-1} of Run 1 data from SuperKEKB.
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