论文标题
音乐：$ \ sqrt {s} = $ 13 TEV的质子 - 普罗顿碰撞中新物理的模型搜索
MUSiC: a model-unspecific search for new physics in proton-proton collisions at $\sqrt{s} = $ 13 TeV
论文作者
论文摘要
使用在LHC上记录在LHC的质子 - 质子碰撞数据的CMS（音乐）模型搜索的结果，以13 TEV为中心的质量能量，对应于35.9 fb $^{ - 1} $的集成光度。音乐分析搜索可能是标准模型以外的物理签名的异常。该分析基于在数百个最终状态和多个运动学分布中确定的观察到数据与标准模型预测的比较。基于其最终状态拓扑结构对包含至少一个电子或MUON的事件进行分类，并且自动搜索算法调查了观察到的数据，以偏离预测。使用多种方法验证了搜索的灵敏度。没有观察到与预测的显着偏差。对于广泛的最终状态拓扑，可以在数据和标准模型模拟之间找到一致性。该分析通过显着扩展了使用模型独立方法覆盖的最终状态的范围，该分析与迄今为止最大的数据集覆盖了最终状态的范围，以探测超出先前一般搜索的范围。
Results of the Model Unspecific Search in CMS (MUSiC), using proton-proton collision data recorded at the LHC at a centre-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 35.9 fb$^{-1}$, are presented. The MUSiC analysis searches for anomalies that could be signatures of physics beyond the standard model. The analysis is based on the comparison of observed data with the standard model prediction, as determined from simulation, in several hundred final states and multiple kinematic distributions. Events containing at least one electron or muon are classified based on their final state topology, and an automated search algorithm surveys the observed data for deviations from the prediction. The sensitivity of the search is validated using multiple methods. No significant deviations from the predictions have been observed. For a wide range of final state topologies, agreement is found between the data and the standard model simulation. This analysis complements dedicated search analyses by significantly expanding the range of final states covered using a model independent approach with the largest data set to date to probe phase space regions beyond the reach of previous general searches.
