论文标题
使用ATLAS探测器在LHC上估算假/非预测的Lepton背景的工具
Tools for estimating fake/non-prompt lepton backgrounds with the ATLAS detector at the LHC
论文作者
论文摘要
用ATLAS检测器在CERN大型强子对撞机上进行的测量和搜索通常涉及一个或多个及时迅速lept子的特征。此类分析受Lepton背景的“假/非预测”背景，该背景是强子衰变的强子或Lepton或光子转换的电子都满足及时的lepton选择标准。这些背景通常是由于淋浴过程中的粒子衰变，粒子错误识别或与探测器材料的相互作用而出现的。由于在模拟中高精度对这些过程进行建模是一项挑战，因此它们的估计通常使用数据驱动的方法。描述了进行此估计的三种方法，以及它们在Atlas中的实施及其性能。
Measurements and searches performed with the ATLAS detector at the CERN Large Hadron Collider often involve signatures with one or more prompt leptons. Such analyses are subject to `fake/non-prompt' lepton backgrounds, where either a hadron or a lepton from a hadron decay or an electron from a photon conversion satisfies the prompt-lepton selection criteria. These backgrounds often arise within a hadronic jet because of particle decays in the showering process, particle misidentification or particle interactions with the detector material. As it is challenging to model these processes with high accuracy in simulation, their estimation typically uses data-driven methods. Three methods for carrying out this estimation are described, along with their implementation in ATLAS and their performance.
