Multi-messenger particle physics: Hunting for Leptoquarks

这个项目旨在通过采用多信使方法从粒子对撞机实验中挖掘数据，来调查与我们的自然如何在最基本的层面上工作的模型最显著的偏差。该项目希望就目前在数据中测量的偏差是否是尚未测量的粒子和力的结果做出明确的声明。该项目的预期成果是建立先进的数据询问算法和方法，这些算法和方法将应用于欧洲的CERN大型强子对撞机和日本的Super KEKB对撞机。这应该会带来巨大的好处，比如培训初级研究人员先进的机器学习技术和大数据分析的应用。

This project aims to investigate the most significant deviations from our model of how nature works at the most fundamental level by taking a multi-messenger approach to mining data from particle collider experiments. The project expects to make definitive statements as to whether the current deviations measured in data are the result of as yet unmeasured particles and forces. Expected outcomes of this project are to build advanced algorithms and methods of data interrogation that will be applied at the CERN Large Hadron Collider in Europe and the Super KEKB collider in Japan. This should provide significant benefits such as training junior researchers in advanced machine learning techniques and applications to big data analysis.