论文标题
搜索在质子 - 普罗顿碰撞中的Leptonic最终状态下的矢量样生产，$ \ sqrt {s} $ = 13 TEV
Search for pair production of vector-like quarks in leptonic final states in proton-proton collisions at $\sqrt{s}$ = 13 TeV
论文作者
论文摘要
在质子蛋白碰撞中产生的类似矢量的T和B Quark-Antiquark对搜索，在13 TEV的质量中心能量中产生。数据是通过CMS实验在CERN LHC的2016-2018收集的，集成的光度为138 fb $^{ - 1} $。事件分为单左右，同时签名电荷DILEPTON和多列普顿通道。在对单级通道的分析中，采用多层神经网络和喷气识别技术来选择信号事件，而同一符号DILEPTON和MULTIELEPTON通道则依赖信号的高能签名来区分它与标准模型背景。数据与标准模型背景预测一致，并且类似矢量的夸克对的产生被排除在95％的置信度下，T Quark质量最高1.54 TEV和B Quark质量，最高可达1.56 TEV，这取决于假定的分支馏分，其最大衰减模式（包括多个顶级夸克）的最大灵敏度。对于$ \ mathrm {t \ overline {t}} $生产，在此搜索中获得的极限是最强的限制，将所有衰变至第三代夸克的1.48 TEV低于1.48 TEV，并且是迄今为止的最强限制，迄今为止，$ \ mathrm {b \ mathrm {b \ overline {b \ overline {b}} $生产的质量是B Quyark decays vord decays dew。
A search is presented for vector-like T and B quark-antiquark pairs produced in proton-proton collisions at a center-of-mass energy of 13 TeV. Data were collected by the CMS experiment at the CERN LHC in 2016-2018, with an integrated luminosity of 138 fb$^{-1}$. Events are separated into single-lepton, same-sign charge dilepton, and multilepton channels. In the analysis of the single-lepton channel a multilayer neural network and jet identification techniques are employed to select signal events, while the same-sign dilepton and multilepton channels rely on the high-energy signature of the signal to distinguish it from standard model backgrounds. The data are consistent with standard model background predictions, and the production of vector-like quark pairs is excluded at 95% confidence level for T quark masses up to 1.54 TeV and B quark masses up to 1.56 TeV, depending on the branching fractions assumed, with maximal sensitivity to decay modes that include multiple top quarks. The limits obtained in this search are the strongest limits to date for $\mathrm{T\overline{T}}$ production, excluding masses below 1.48 TeV for all decays to third generation quarks, and are the strongest limits to date for $\mathrm{B\overline{B}}$ production with B quark decays to tW.
