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arXiv 1204.4199hep-ph
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LHC数据两年之后的约束超对称性:Fittino的全局视图

Constrained Supersymmetry after two years of LHC data: a global view with Fittino

Philip Bechtle, Torsten Bringmann, Klaus Desch, Herbi Dreiner, Matthias Hamer, Carsten Hensel, Michael Kramer, Nelly Nguyen, Werner Porod, Xavier Prudent, Bjoer… 展开作者

Philip Bechtle, Torsten Bringmann, Klaus Desch, Herbi Dreiner, Matthias Hamer, Carsten Hensel, Michael Kramer, Nelly Nguyen, Werner Porod, Xavier Prudent, Bjoern Sarrazin, Mathias Uhlenbrock, Peter Wienemann

摘要:

我们进行全球拟合的约束最小超对称标准模型(CMSSM)的参数和非通用希格斯质量(NUHM 1)的变体。除了来自低能量精确观测和宇宙学暗物质密度的约束外,我们还考虑了LHC排除在喷流搜索之外,加上丢失的横向能量签名,大约有5\,fb $^{-1}$的积分亮度。我们还包括最近的上限上的分支比$B_s\toμμ$从LHCb。此外,直接和间接的暗物质搜索的限制和影响进行了讨论。CMSSM的最佳拟合倾向于一个轻的希格斯玻色子玻色子,其质量刚好高于实验排除的质量。我们发现在CMSSM中,低能观测量的描述,特别是$(g-2)_μ$,和在LHC上的超对称性的不可观测性变得越来越不相容。一个潜在的类似SM的希格斯玻色子,质量约为126 GeV,几乎不能被容纳。${\cal B}(B_s\toμμ)$的值恰好在标准模型预测值附近,这自然是最佳拟合区域中的预期值。最受欢迎的区域还没有受到直接WIMP搜索限制的影响,但下一代实验将探测这一区域。最后,我们讨论了微调的最佳拟合区域的影响。

英文摘要:

We perform global fits to the parameters of the Constrained Minimal Supersymmetric Standard Model (CMSSM) and to a variant with non-universal Higgs masses (NUHM1). In addition to constraints from low-energy precision observables and the cosmological dark matter density, we take into account the LHC exclusions from searches in jets plus missing transverse energy signatures with about 5\,fb$^{-1}$ of integrated luminosity. We also include the most recent upper bound on the branching ratio $B_s\toμμ$ from LHCb. Furthermore, constraints from and implications for direct and indirect dark matter searches are discussed. The best fit of the CMSSM prefers a light Higgs boson just above the experimentally excluded mass. We find that the description of the low-energy observables, $(g-2)_μ$ in particular, and the non-observation of SUSY at the LHC become more and more incompatible within the CMSSM. A potential SM-like Higgs boson with mass around 126 GeV can barely be accommodated. Values for ${\cal B}(B_s\toμμ)$ just around the Standard Model prediction are naturally expected in the best fit region. The most-preferred region is not yet affected by limits on direct WIMP searches, but the next generation of experiments will probe this region. Finally, we discuss implications from fine-tuning for the best fit regions.

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。

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