Study of jets produced in association with a W boson in p p collisions at s = 7 TeV with the ATLAS detector
Study of jets produced in association with a W boson in p p collisions at s = 7 TeV with the ATLAS detector
复制标题
使用 ATLAS 探测器研究 s = 7 TeV 下与 W 玻色子碰撞时产生的喷流
DOI：
10.1103/physrevd.85.092002
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发表时间：
2012
影响因子：
5
通讯作者：
Aad G
中科院分区：
文献类型：
--
作者：
Aad G
我们报告了一项研究的最终状态包含玻色子和强子射流，产生在质子-质子碰撞的质心能量为7 TeV。这些数据是用欧洲核子研究中心大型强子对撞机的ATLAS探测器收集的，包括2010年的全部数据样本。截面确定使用电子和μ介子衰变模式的theboson，并作为一个函数的包容性射流多重性，最多五个射流。在每一个多重性，横截面作为一个函数的射流横向动量，标量和的横向动量的带电轻子，失踪的横向动量，和所有的射流，不变的质量谱的射流，和各种组合的轻子和最终状态的射流的快度分布。校正所有的探测器效应和所有的背景，如双玻色子和顶夸克对生产的结果进行了比较，从微扰QCD粒子水平的预测。前导阶多部分子事件发生器，归一化为下一个到下一个到前导阶总截面的包容性玻色子生产，描述的数据合理以及所有测量的包容性射流多重性。次至主导阶计算MCFM，这里研究，和黑帽夏尔巴，这里研究，被发现大多是在良好的协议与数据。
We report a study of final states containing aboson and hadronic jets, produced in proton-proton collisions at a center-of-mass energy of 7 TeV. The data were collected with the ATLAS detector at the CERN LHC and comprise the full 2010 data sample of. Cross sections are determined using both the electron and muon decay modes of theboson and are presented as a function of inclusive jet multiplicity,, for up to five jets. At each multiplicity, cross sections are presented as a function of jet transverse momentum, the scalar sum of the transverse momenta of the charged lepton, missing transverse momentum, and all jets, the invariant mass spectra of jets, and the rapidity distributions of various combinations of leptons and final-state jets. The results, corrected for all detector effects and for all backgrounds such as diboson and top quark pair production, are compared with particle-level predictions from perturbative QCD. Leading-order multiparton event generators, normalized to the next-to-next-to-leading-order total cross section for inclusive-boson production, describe the data reasonably well for all measured inclusive jet multiplicities. Next-to-leading-order calculations fromMCFM, studied here for, andBlackHat-Sherpa, studied here for, are found to be mostly in good agreement with the data.