4.4 Article

Less-simplified models of dark matter for direct detection and the LHC

期刊

JOURNAL OF HIGH ENERGY PHYSICS
卷 -, 期 4, 页码 -

出版社

SPRINGER
DOI: 10.1007/JHEP04(2016)182

关键词

Beyond Standard Model; Particle and resonance production; Hadron-Hadron scattering (experiments); Exotics

资金

  1. Welcome Programme of the Foundation for Polish Science
  2. Department of Atomic Energy, Government of India, for the Regional Centre for Accelerator-based Particle Physics (RECAPP)
  3. Harish-Chandra Research Institute
  4. EU
  5. MSHE [02.03.00-00-013/09]
  6. Lancaster-Manchester-Sheffield Consortium for Fundamental Physics under STFC [ST/L000520/1]
  7. DELPHES
  8. BayesFITS Group at the National Centre for Nuclear Research

向作者/读者索取更多资源

We construct models of dark matter with suppressed spin-independent scattering cross section utilizing the existing simplified model framework. Even simple combinations of simplified models can exhibit interference effects that cause the tree level contribution to the scattering cross section to vanish, thus demonstrating that direct detection limits on simplified models are not robust when embedded in a more complicated and realistic framework. In general for fermionic WIMP masses greater than or similar to 10 GeV direct detection limits on the spin-independent scattering cross section are much stronger than those coming from the LHC. However these model combinations, which we call less-simplified models, represent situations where LHC searches become more competitive than direct detection experiments even for moderate dark matter mass. We show that a complementary use of several searches at the LHC can strongly constrain the direct detection blind spots by setting limits on the coupling constants and mediators' mass. We derive the strongest limits for combinations of vector + scalar, vector + squark, and squark + scalar mediator, and present the corresponding projections for the LHC 14TeV for a number of searches: mono-jet, jets + missing energy, and searches for heavy vector resonances.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据