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\(\,\text {TeV}\), corresponding to an integrated luminosity of 35.9\(\,\text {fb}^{-1}\), 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.

CMS（MUSiC）模型非特异性搜索的结果，使用在 LHC 记录的质子-质子碰撞数据，质心能量为 13 \(\,\text {TeV}\)，对应于综合光度35.9 \(\,\文本{fb}^{-1}\), 呈现。MUSiC 分析搜索可能是超出标准模型的物理特征的异常。该分析基于在数百个最终状态和多个运动学分布中观察到的数据与标准模型预测的比较，标准模型预测由模拟确定。包含至少一个电子或 μ 子的事件根据其最终状态拓扑进行分类，并且自动搜索算法调查观察到的数据与预测的偏差。使用多种方法验证搜索的敏感性。没有观察到与预测的显着偏差。对于广泛的最终状态拓扑，在数据和标准模型模拟之间找到了一致性。