论文标题
CMS的新喷气标记技术
New jet tagging techniques at CMS
论文作者
论文摘要
CMS实验利用多种算法来识别检测器中测得的粒子喷射的起源。通过研究源自夸克，胶子，W/z/higgs玻色子，顶级夸克和堆积相互作用的喷气机的研究。我们介绍了基于用于分析LHC Run 2中收集的数据的机器学习方法的新技术，该数据可显着超过经典标签者的性能。
The CMS experiment makes use of a large variety of algorithms to identify the origin of particle jets measured in the detector. Through the study of jet substructure properties, jets originating from quarks, gluons, W/Z/Higgs bosons, top quarks and pileup interactions are identified and categorized. We present new techniques based on machine learning approaches developed for the analysis of the data collected during the LHC Run 2 that significantly surpass the performances of classical taggers.
