用CMD-3探测器的液体氙量能器鉴别带电粒子
Charged particle identification with the liquid xenon calorimeter of the CMD-3 detector
摘要：
本文描述了为安装在VEPP-2000 $e^{+}e^{-}$对撞机上的\mbox{CMD-3}探测器开发的带电粒子识别方法。该方法是基于应用程序的提升决策树分类器，训练的电子，介子，介子和K介子的动量范围从100到$1200~{\rm MeV}/c$的最佳分离。分类器的输入变量是\mbox{CMD-3}的12层液体氙量热计中带电粒子的能量沉积的线性组合。用于训练分类器的事件样本取自模拟。在模拟和校准的量热计条通道的检测器响应调谐的各种问题被认为是。通过分离$e^+e^-(γ)$和$π^+π^-(γ)$终态以及选择高能下的$K^+K^-$终态的例子说明了该方法的应用。
英文摘要：
The paper describes a method of the charged particle identification, developed for the \mbox{CMD-3} detector, installed at the VEPP-2000 $e^{+}e^{-}$ collider. The method is based on the application of the boosted decision trees classifiers, trained for the optimal separation of electrons, muons, pions and kaons in the momentum range from 100 to $1200~{\rm MeV}/c$. 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 \mbox{CMD-3}. The event samples for training of the classifiers are taken from the simulation. Various issues of the detector response tuning in simulation and calibration of the calorimeter strip channels 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.
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