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Enhancing sensitivities to long-lived particles with high granularity calorimeters at the LHC

  • Jia Liu
  • , Zhen Liu
  • , Lian Tao Wang
  • , Xiao Ping Wang*
  • *此作品的通讯作者
  • The University of Chicago
  • University of Maryland, College Park
  • Department of Physics
  • Argonne National Laboratory

科研成果: 期刊稿件 › 文章 › 同行评审

摘要

The search for long-lived particles (LLP) is an exciting physics opportunity in the upcoming runs of the Large Hadron Collider. In this paper, we focus on a new search strategy of using the High Granularity Calorimeter (HGCAL), part of the upgrade of the CMS detector, in such searches. In particular, we demonstrate that the high granularity of the calorimeter allows us to see “shower tracks” in the calorimeter, and can play a crucial role in identifying the signal and suppressing the background. We study the potential reach of the HGCAL using a signal model in which the Standard Model Higgs boson decays into a pair of LLPs, h → XX. After carefully estimating the Standard Model QCD and the misreconstructed fake-track backgrounds, we give the projected reach for both an existing vector boson fusion trigger and a novel displaced-track-based trigger. Our results show that the best reach for the Higgs decay branching ratio, BR(h → XX), in the vector boson fusion channel is about O(10−4) with lifetime cτX ∼ 0.1–1 meters, while for the gluon gluon fusion channel it is about O(10−5–10−6) for similar lifetimes. For longer lifetime cτX ∼ 103 meters, our search could probe BR(h → XX) down to a few ×10−4(10−2) in the gluon gluon fusion (vector boson fusion) channels, respectively. In comparison with these previous searches, our new search shows enhanced sensitivity in complementary regions of the LLP parameter space. We also comment on many improvements can be implemented to further improve our proposed search.

源语言英语
期刊论文编号66
期刊Journal of High Energy Physics
卷2020
期11
DOI
出版状态已出版 - 11月 2020
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