次极小超引力激发模型的似然分析
Likelihood analysis of the next-to-minimal supergravity motivated model
摘要：
在预期的数据从大型强子对撞机（LHC）和超对称性的潜在发现，在这项工作中，我们寻求以下问题的答案：什么是超对称性的机会将被发现在LHC？大型强子对撞机的数据是否足以发现一个给定的超对称模型？还有什么其他的测量方法可以帮助LHC确定超对称性的存在？作为回答这些一般性问题的一步，我们计算出在LHC上发现流行的超引力激发模型（NmSuGra）的最小版本的几率为4：3（57%）。我们还证明了LHC范围之外的NmSuGra参数空间的可行区域可以被升级版本的暗物质直接探测实验（如超级CDMS）覆盖，置信度为99%。由于模型的相似性，我们预计非常相似的结果，约束最小超对称标准模型（CMSSM）。
英文摘要：
In anticipation of data from the Large Hadron Collider (LHC) and the potential discovery of supersymmetry, in this work we seek an answer to the following: What are the chances that supersymmetry will be found at the LHC? Will the LHC data be enough to discover a given supersymmetric model? And what other measurements can assist the LHC establish the presence of supersymmetry? As a step toward answering these general questions, we calculate the odds of the next-to-minimal version of the popular supergravity motivated model (NmSuGra) being discovered at the LHC to be 4:3 (57 %). We also demonstrate that viable regions of the NmSuGra parameter space outside the LHC reach can be covered by upgraded versions of dark matter direct detection experiments, such as super-CDMS, at 99 % confidence level. Due to the similarities of the models, we expect very similar results for the constrained minimal supersymmetric standard model (CMSSM).
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