PubDB | BELLE2-PUB-PH-2025-067

Abstract	Effective particle identification capabilities are a strategic requirement for the physics program of the Belle II experiment. We describe the algorithms that are used at Belle II for identifying electrons and muons and separating them from charged hadrons. We show the performance obtained by the experiment during its Run 1, consisting of 426 fb$^{-1}$ of data collected at the energy-asymmetric $e^+ e^-$ collider SuperKEKB in 2019-2022 at center-of-mass energies at and near the mass of the $\Upsilon(4S)$.
Tags	Run 1 Performance
Working group	Performance
Principal authors	@ Marco Milesi, Daniel Ferlewicz, Phillip Urquijo, Marcel Hohmann, Rashmi Dhamija, Saurabh Sandilya, Paul Feichtinger, Akimasa Ishikawa, Rahul Tiwary, Gagan Mohanty, Abtin Narimani Charan, Alberto Martini, Giacomo De Pietro, Yo Sato, Kenta Uno, Justin Skorupa, Thibaud Humair, Thomas Kraetzschmar, Umberto Tamponi, Roy Briere, Jitendra Kumar, Luka Santelj, Jan Strube, Connor Hainje, Philipp Horak, Anja Novosel, Daniel Greenwald, Soumen Halder, Lopamudra Nayak, Stefan Wallner, Alessandro Gaz
Reference	submitted to EPJC
Links	arXiv:2606.26274 [hep-ex],

Abstract

Effective particle identification capabilities are a strategic requirement for the physics program of the Belle II experiment. We describe the algorithms that are used at Belle II for identifying electrons and muons and separating them from charged hadrons. We show the performance obtained by the experiment during its Run 1, consisting of 426 fb$^{-1}$ of data collected at the energy-asymmetric $e^+ e^-$ collider SuperKEKB in 2019-2022 at center-of-mass energies at and near the mass of the $\Upsilon(4S)$.

Charged leptonID on release-06 data and simulation