论文标题
在$ \ sqrt {s} = 13 $ tev的质子 - proton碰撞中，与质子proton碰撞中的w玻色子相关的顶级夸克 - 安quark对生产的横截面的测量
Measurement of the cross section of top quark-antiquark pair production in association with a W boson in proton-proton collisions at $\sqrt{s} = 13$ TeV
论文作者
论文摘要
在质子质子碰撞中测量了与W玻色子缔合的顶级夸克 - 抗烷基对，以13 TEV的质量质量碰撞。 CMS实验在CERN LHC上记录的数据对应于138 Fb $^{ - 1} $的集成光度。选择了两个或三个lept子（电子和兆子）和其他喷气机的事件。在具有两个瘦素的事件中，多类神经网络用于将事件与信号和背景过程区分开。具有三个瘦素的事件根据喷气机的数量，b标记的喷气机的数量和Lepton费用进行分类。 $ 868 \ pm 40 \，\ text {（stat）} \ pm 51 \，\ text {（syst）fb} $的包容性生产横截面。顶部夸克 - 易夸克对配有W $^+$和w $^ - $玻色子的横截面的测量为$ 553 \ pm 30 \，\ text {（stat）} \ pm 30 \，\ pm 30 \，\ text {（syst）fb} $和$ 343 \ pm 26 \ pm pm pm pm pm pm pm pm pm pm pm pm pm，发现两个横截面的fb} $分别为$ 1.61 \ pm 0.15 \，\ text {（stat）}^{+0.07} _ { - 0.07} _ { - 0.05}} \，\ \ \，\，\ text {（syst）} $。结果与两个标准偏差内的标准模型预测一致，并代表了迄今为止该生产过程的最精确测量。
The production of a top quark-antiquark pair in association with a W boson is measured in proton-proton collisions at a centre-of-mass energy of 13 TeV. The data recorded by the CMS experiment at the CERN LHC correspond to an integrated luminosity of 138 fb$^{-1}$. Events with two or three leptons (electrons and muons) and additional jets are selected. In events with two leptons, a multiclass neural network is used to distinguish between events from the signal and background processes. Events with three leptons are categorised based on the number of jets, number of b-tagged jets, and the lepton charges. An inclusive production cross section of $868 \pm 40 \, \text{(stat)}\pm 51 \, \text{(syst) fb}$ is measured. The cross sections of top quark-antiquark pair production with a W$^+$ and a W$^-$ boson are measured as $553 \pm 30 \, \text{(stat)} \pm 30 \, \text{(syst) fb}$ and $343 \pm 26 \, \text{(stat)} \pm 25 \, \text{(syst) fb}$, respectively, and thecorresponding ratio of the two cross sections is found to be $1.61 \pm 0.15 \, \text{(stat)}^{+0.07}_{-0.05} \, \text{(syst)}$. The results are in agreement with the standard model predictions within two standard deviations, and represent the most precise measurements of this production process to date.
