Machine learning has revolutionized the analysis of large-scale data samples in particle physics and greatly increased the discovery potential for new fundamental laws of nature. Specifically, deep learning has transformed how jet tagging, a critical classification task at high-energy particle colliders such as the CERN Large Hadron Collider (LHC), is performed, leading to a drastic improvement in its performance in the past few years. In this talk, Dr. Qu will go through recent progress in deep learning approaches for jet tagging and their applications in Higgs boson studies and new physics searches at the LHC. Prospects and possible future directions will also be discussed.
Yunxuan Song, Chiara Perrina, Elisabeth Niel