arXiv 1101.46642011-01hep-phastro-ph.COhep-exhep-th

对互补暗物质和LHC SUSY搜索的微调影响

Fine-tuning implications for complementary dark matter and LHC SUSY searches

S. Cassel, D. M. Ghilencea, S. Kraml, A. Lessa, G. G. Ross

备注：: References added. Version accepted for publication in JHEP
DOI：: 10.1007/JHEP05(2011)120

摘要：

要求超对称性应该解决的层次结构问题，没有过度的微调施加了严格的限制，新的超对称状态。随着MSSM频谱和软超对称性打破起源于普遍的标量和高吉诺质量在大统一尺度，我们表明，低微调区域分为两类，将需要互补的对撞机和暗物质搜索探索在不久的将来。第一类是相对较轻的胶子或夸克，LHC应该在第一次运行时就能发现。我们确定多射流加上E_T^miss信号作为最佳通道，并确定在第一次运行中的发现潜力。第二类具有较重的胶子和方子，但LSP具有显着的Higgsino成分，应该可以通过下一代直接暗物质探测实验看到。来自7 TeV LHC运行和下一代直接检测实验的组合信息可以测试几乎所有与暗物质和EW约束一致的CMSSM参数空间，对应于不差于1：100的微调。为了在LHC上通过超对称搜索覆盖整个低精细调谐区域，需要在14 TeV的CM能量下运行;此外，它可以通过覆盖120 GeV以下质量范围的希格斯搜索间接进行测试。

英文摘要：

The requirement that SUSY should solve the hierarchy problem without undue fine-tuning imposes severe constraints on the new supersymmetric states. With the MSSM spectrum and soft SUSY breaking originating from universal scalar and gaugino masses at the Grand Unification scale, we show that the low-fine-tuned regions fall into two classes that will require complementary collider and dark matter searches to explore in the near future. The first class has relatively light gluinos or squarks which should be found by the LHC in its first run. We identify the multijet plus E_T^miss signal as the optimal channel and determine the discovery potential in the first run. The second class has heavier gluinos and squarks but the LSP has a significant Higgsino component and should be seen by the next generation of direct dark matter detection experiments. The combined information from the 7 TeV LHC run and the next generation of direct detection experiments can test almost all of the CMSSM parameter space consistent with dark matter and EW constraints, corresponding to a fine-tuning not worse than 1:100. To cover the complete low-fine-tuned region by SUSY searches at the LHC will require running at the full 14 TeV CM energy; in addition it may be tested indirectly by Higgs searches covering the mass range below 120 GeV.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。

摘要：

英文摘要：

相关论文