Physics beyond the Standard Model (BSM) may be unveiled by studying events with a high number of outgoing jets, produced at the LHC with energies above the TeV scale (energetic multi-jet events). Such events are dominated by QCD processes, where the calculations rely on some sort of approximation. Therefore, it is important to develop a robust approach for modeling such events that could probe the existence of BSM signals. In this note, jet spatial distributions in energetic multi-jet processes were compared using several state-of-the-art MC event generators. Slight differences were found, indicating modelling limitations. Therefore, a data-driven technique for the estimation of processes with a final state that contains a large number of jets is proposed. This procedure can predict jet multiplicities up to a precision of 25% in energetic multi-jet events.

通过研究大型强子对撞机产生的，具有高于TeV规模能量的向外射流的事件（高能多射流事件），可以揭示超出标准模型（BSM）的物理学。此类事件由QCD流程控制，其中的计算依赖于某种近似值。因此，重要的是要开发一种强大的方法来对此类事件进行建模，以探测BSM信号的存在。在本说明中，使用几个最新的MC事件生成器比较了高能多喷射过程中的喷射空间分布。发现轻微差异，表明建模限制。因此，提出了一种数据驱动的技术，用于估计包含大量射流的最终状态的过程。