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

Constrained supersymmetry after two years of LHC data: a global view with Fittino
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DOI:
10.1007/jhep06(2012)098
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发表时间:
2012-06-01
影响因子:
5.4
通讯作者:
Wienemann, Peter
Wienemann, Peter
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
Bechtle, Philip;Bringmann, Torsten;Wienemann, Peter

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我们执行全局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。除了来自低能精确观测和宇宙学暗物质密度的约束外,我们还考虑了LHC在喷流搜索中的排除,以及大约5 fb(-1)积分光度的缺失横向能量特征。我们还包括来自LHCb的分支比B-s -> mu mu的最新上限。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的最佳拟合更倾向于一个轻的希格斯玻色子,刚好高于实验排除的质量。我们发现,低能观测量的描述,特别是(g - 2)μ,在LHC的超对称性的非观测变得越来越不兼容的CMSSM。一个潜在的类似SM的希格斯玻色子,质量约为126 GeV,几乎无法容纳。在最佳拟合区域中,自然期望刚好在标准模型预测值附近的B值(B-s -> mu mu)。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。
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 -> mu mu 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)mu 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 126GeV can barely be accommodated. Values for B(B-s -> mu mu) 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.