Identification of light leptons and pions in the electromagnetic calorimeter of Belle II
Anja Novosel, Abtin Narimani Charan, Luka \v{S}antelj, Torben Ferber,, Peter Kri\v{z}an, Bo\v{s}tjan Golob
TL;DR
This paper presents a CNN-based method for separating light leptons and pions in the Belle II electromagnetic calorimeter at low transverse momenta, improving semi-leptonic B meson decay measurements.
Contribution
It introduces a novel CNN approach for particle identification in the calorimeter, enhancing separation accuracy at low momenta.
Findings
Effective lepton-pion separation below 0.7 GeV/c
Improved measurement precision for semi-leptonic B decays
Demonstrated CNN method's potential in particle physics detectors
Abstract
The paper discusses new method for electron/pion and muon/pion separation in the Belle II detector at transverse momenta below 0.7 , which is essential for efficient measurements of semi-leptonic decays of 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).
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Taxonomy
TopicsParticle physics theoretical and experimental studies · Computational Physics and Python Applications · Dark Matter and Cosmic Phenomena