标题： 通过最优传输图的ATLAS味标签分类器连续校准 显示英文标题

标题： A continuous calibration of the ATLAS flavour-tagging classifiers via optimal transportation maps

摘要： 基于基于最优传输图的新校准程序，介绍了ATLAS风味标记算法的校准。 从模拟中的 $b$-jet、$c$-jet 和轻味喷注分类概率中，同时连续修正了使用 $t\bar t \to e\mu\nu\nu bb$数据的 $b$-jets 的喷注标记算法。 在应用了推导出的校准图之后，实现了用于ATLAS对大型强子对撞机（LHC）运行2期质子-质子碰撞数据进行分析的喷注风味观测量的模拟与观测之间的闭合性。 这种连续校准为未来在LHC分析中使用喷注风味信息开辟了新可能性，并且也作为通过传输图推导高维校正的指南，这对于一系列推理任务来说是一个重要的发展。 显示英文摘要

摘要： A calibration of the ATLAS flavour-tagging algorithms using a new calibration procedure based on optimal transportation maps is presented. Simultaneous, continuous corrections to the $b$-jet, $c$-jet, and light-flavour jet classification probabilities from jet-tagging algorithms in simulation are derived for $b$-jets using $t\bar t \to e\mu\nu\nu bb$ data. After application of the derived calibration maps, closure between simulation and observation is achieved for jet flavour observables used in ATLAS analyses of Large Hadron Collider (LHC) Run 2 proton-proton collision data. This continuous calibration opens up new possibilities for the future use of jet flavour information in LHC analyses and also serves as a guide for deriving high-dimensional corrections to simulation via transportation maps, an important development for a broad range of inference tasks.