摘要: The lepton identification is essential for the physics
programs at high-energy frontier, especially for the precise
measurement of the Higgs boson. For this purpose, a Toolkit
for Multivariate Data Analysis (TMVA) based lepton identification
(LICH1) has been developed for detectors using
high granularity calorimeters. Using the conceptual detector
geometry for the Circular Electron-Positron Collider (CEPC)
and single charged particle samples with energy larger than
2 GeV, LICH identifies electrons/muons with efficiencies
higher than 99.5% and controls the mis-identification rate of
hadron to muons/electrons to better than 1%/0.5%. Reducing
the calorimeter granularity by 1-2 orders of magnitude,
the lepton identification performance is stable for particles
with E > 2 GeV. Applied to fully simulated eeH/mmH events,
the lepton identification performance is consistent with the
single particle case: the efficiency of identifying all the high
energy leptons in an event, is 95.5-98.5%.