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Testing origin of neutrino masses at the CERN Large Hadron Collider.

机译:在CERN大型强子对撞机中测试中微子质量的起源。

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摘要

Evidence for neutrino masses clearly indicates the need for new physics beyond standard model. In the last decades, there have also been enomounus experimental efforts to measure neutrino properties and test its generation mechanism. In this thesis, we demonstrate how to test the origin of neutrino mass at the Large Hadron Collider. The proposal consists of two parts: (i) to test a triplet model through exotic Higgs search; (ii) exotic decay of Top quark into GeV Majorana neutrino states. The triplet model predicts the existence of doubly charged Higgs H++ and its decay into same sign dileptons H++ → ℓ +ℓ+. One can look for clean signals of lepton number violation in the decays of doubly charged (H±± ) and singly charged (H±) scalars and by measuring the decay BR of different channels to distinguish spectrum for the light neutrino masses and the unknown Majorana phases. H ±± should be observable at the LHC with 300 fb -1 integrated luminosity in the leptoic channel upto the mass range of 1 TeV. For the second part, we explore top decay into Majorana N. The unique signal final state which consists of same sign dilepton with no significant ET makes the discovery possible. For 100 fb-1 integrated luminosity at LHC, one can probe the BR(W ± → ℓ± N → ℓ ±ℓ±(W∓ )*) as low as 10-4.
机译:中微子质量的证据清楚地表明,除了标准模型外,还需要新的物理学。在过去的几十年中,也有大量的实验工作来测量中微子的性质并测试其产生机理。在本文中,我们演示了如何在大型强子对撞机中测试中微子质量的起源。该提案包括两个部分:(i)通过奇异的希格斯搜索测试三重态模型; (ii)顶夸克异乎寻常的衰变成GeV Majorana中微子态。三重态模型预测了带双电荷的希格斯H ++的存在及其衰变成相同符号的双瘦子H ++→ℓ +ℓ +。可以在双电荷(H±)和单电荷(H±)标量的衰变中寻找清晰的违反轻子数的信号,并通过测量不同通道的衰变BR来区分轻中微子质量和未知的马约拉纳光谱阶段。在LHC上应观察到H±±,在光影通道中的综合光度为300 fb -1,质量范围为1 TeV。在第二部分中,我们探索进入马约拉那N的顶部衰减。独特的信号最终状态由相同的符号双峰构成,没有明显的ET,这使得发现成为可能。对于LHC时100 fb-1的综合亮度,可以探测到低至10-4的BR(W±→ℓ±N→ℓ±(W∓)*)。

著录项

  • 作者

    Wang, Kai.;

  • 作者单位

    The University of Wisconsin - Madison.;

  • 授予单位 The University of Wisconsin - Madison.;
  • 学科 Physics Theory.;Physics Elementary Particles and High Energy.
  • 学位 Ph.D.
  • 年度 2008
  • 页码 107 p.
  • 总页数 107
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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