发表机构
Institut für Experimental Physik, Universität Hamburg; Particle Theory and Cosmology Group, Center for Theoretical Physics of the Universe, Institute for Basic Science (IBS); NHETC, Dept. of Physics and Astronomy, Rutgers University（汉堡大学实验物理研究所; 基础科学研究院宇宙理论物理中心粒子理论与宇宙学组; 罗格斯大学物理与天文学系新罕布什尔理论高能物理中心）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究结合递归软-drop与CATHODE技术，突破弱监督异常检测依赖双喷注共振态的局限，实现对末态任意数量喷注信号的异常检测，拓展了LHC新物理搜索范围。
AI 中文摘要
大型强子对撞机（LHC）至今仍未发现超出标准模型的物理信号。近年来，异常检测技术快速发展，相比传统方法能以更少的模型假设实现信号探测。基于弱监督的策略尤为成功，但目前受限于需依赖衰变为一对喷注的共振态，应用范围较窄。本研究将喷注亚结构物理中成熟的递归软-drop（recursive soft drop）概念与异常检测技术CATHODE结合，可同时对末态含任意数量喷注的信号开展异常检测，大幅拓展了此类搜索的适用范围。
英文摘要
Signals of physics beyond the Standard Model continue to resist discovery at the LHC. Recent years have seen the proliferation of new anomaly detection techniques, promising discovery with significantly fewer model assumptions than traditional approaches. Strategies based on weak supervision have been especially successful, but so far were largely limited in scope by their reliance on a resonance manifesting a decay into a pair of jets. In this work, we demonstrate that a well-established idea from jet substructure physics - recursive soft drop - in combination with the CATHODE technique for anomaly detection can be used to simultaneously perform anomaly detection for signals with an arbitrary number of jets in the final state, greatly increasing the scope of such searches.
Comments14 pages, 7 figures, 2 tables
