Charged particle identification with the liquid xenon calorimeter of the CMD-3 detector

Ivanov, V.L.; Fedotovich, G.V.; Akhmetshin, R.R.; Amirkhanov, A.N.; Anisenkov, A.V.; Aulchenko, V.M.; Bashtovoy, N.S.; Bondar, A.E.; Bragin, A.V.; Eidelman, S.I.

doi:10.1016/j.nima.2021.165761

Charged particle identification with the liquid xenon calorimeter of the CMD-3 detector

Nov 1, 2021

Published in:

Nucl.Instrum.Meth.A 1015 (2021) 165761

Published: Nov 1, 2021

DOI:

10.1016/j.nima.2021.165761 (publication)

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Abstract: (Elsevier B.V.)

The paper describes a method of the charged particle identification, developed for the CMD-3 detector, installed at the VEPP-2000

e^{+} e^{-}

collider. The method is based on application of boosted decision trees classifiers, trained for the optimal separation of electrons, muons, pions and kaons in the momentum range from 100 to

1200 MeV / c

. The input variables for the classifiers are linear combinations of the energy depositions of charged particles in 12 layers of the liquid xenon calorimeter of the CMD-3. The event samples for training of the classifiers are taken from the simulation. Various issues of the calorimeter strip channels response simulation and their calibration are considered. Application of the method is illustrated by the examples of separation of the

e^{+} e^{-} (γ)

and

π^{+} π^{-} (γ)

final states and of selection of the

K^{+} K^{-}

final state at high energies.

Liquid xenon calorimeter
Particle identification
Boosted decision trees
Detector calibration
Simulation tuning
Pion/kaon separation
xenon: liquid
calibration
calorimeter
charged particle: particle identification

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