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arXiv 0904.2548hep-phhep-exhep-th
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拟合唯象的MSSM

Fitting the Phenomenological MSSM

S. S. AbdusSalam, B. C. Allanach, F. Quevedo, F. Feroz, M. Hobson

摘要:

我们进行了全球贝叶斯拟合的现象学最小超对称标准模型(pMSSM),目前的间接对撞机和暗物质的数据。pMSSM包含最相关的25个弱尺度MSSM参数,这些参数同时使用“嵌套采样”蒙特卡罗技术在超过15年的CPU时间内拟合。我们计算贝叶斯证据的pMSSM和约束其参数和观测值的上下文中的两个广泛不同的,但合理的,先验,以确定哪些推论是强大的。我们对超粒子质量,$μ$参数的符号,微调量,暗物质属性和直接暗物质检测的前景,而不假设一个限制性的高尺度超对称性破缺模型进行推断。我们发现推断最轻的CP-甚至希格斯玻色子质量作为一个例子,一个近似的先验独立的可观察。该分析构成了对所有当前数据的第一个统计收敛pMSSM全局拟合。

英文摘要:

We perform a global Bayesian fit of the phenomenological minimal supersymmetric standard model (pMSSM) to current indirect collider and dark matter data. The pMSSM contains the most relevant 25 weak-scale MSSM parameters, which are simultaneously fit using `nested sampling' Monte Carlo techniques in more than 15 years of CPU time. We calculate the Bayesian evidence for the pMSSM and constrain its parameters and observables in the context of two widely different, but reasonable, priors to determine which inferences are robust. We make inferences about sparticle masses, the sign of the $μ$ parameter, the amount of fine tuning, dark matter properties and the prospects for direct dark matter detection without assuming a restrictive high-scale supersymmetry breaking model. We find the inferred lightest CP-even Higgs boson mass as an example of an approximately prior independent observable. This analysis constitutes the first statistically convergent pMSSM global fit to all current data.

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