首页> 外文学位 >Search for the Standard Model Higgs boson in associated production with W boson at the Tevatron.
【24h】

Search for the Standard Model Higgs boson in associated production with W boson at the Tevatron.

机译:在Tevatron上搜索与W玻色子相关的生产中的标准模型希格斯玻色子。

获取原文
获取原文并翻译 | 示例

摘要

A search for the Standard Model Higgs boson in proton-antiproton collisions with center-of-mass energy 1.96 TeV at the Tevatron is presented in this dissertation. The process of interest is the associated production of W boson and Higgs boson, with the W boson decaying leptonically and the Higgs boson decaying into a pair of bottom quarks. The dataset in the analysis is accumulated by the DO detector from April 2002 to April 2008 and corresponding to an integrated luminosity of 2.7 fb-1. The events are reconstructed and selected following the criteria of an isolated lepton, missing transverse energy and two jets. The DO Neural Network b-jet identification algorithm is further used to discriminate b jets from light jets. A multivariate analysis combining Matrix Element and Neural Network methods is explored to improve the Higgs boson signal significance. No evidence of the Higgs boson is observed in this analysis. In consequence, an observed (expected) limit on the ratio of sigma (pp¯→ WH) x Br (H → bb¯) to the Standard Model prediction is set to be 6.7 (6.4) at 95% C.L. for the Higgs boson with a mass of 115 GeV.
机译:本文在质子-反质子碰撞中以质子中心能量为1.96 TeV的标准希格斯玻色子进行了研究。感兴趣的过程是W玻色子和希格斯玻色子的相关生产,其中W玻色子轻度衰减,而希格斯玻色子衰减成一对底夸克。分析仪中的数据集由DO检测器从2002年4月至2008年4月累积,对应的综合光度为2.7 fb-1。这些事件是根据孤立的轻子,缺少横向能量和两次喷射的标准重建和选择的。 DO神经网络b喷射识别算法进一步用于区分b喷射与轻喷射。探索了结合矩阵元素和神经网络方法的多元分析,以提高希格斯玻色子信号的重要性。在此分析中未观察到希格斯玻色子的证据。结果,在95%C.L下,与标准模型预测值相比,σ(pp’→WH)x Br(H→bb¯)的观察值(预期值)设置为6.7(6.4)。质量为115 GeV的希格斯玻色子。

著录项

  • 作者

    Xu, Chun.;

  • 作者单位

    University of Michigan.;

  • 授予单位 University of Michigan.;
  • 学科 Physics Elementary Particles and High Energy.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 167 p.
  • 总页数 167
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号