TITLE: Searches for Higgs to Charm Decays with the CMS Experiment using Novel ML Methods
ABSTRACT: Searches for charm decays of the Higgs boson are not only limited by the small coupling but primarily by the considerable difficulty of identifying charm jets. However, recent advances in machine learning methods have drastically improved the performance of flavour identification algorithms. Applying them in analyses of the LHC Run2 data has enabled us to improve the limit on the Higgs to charm rate by a factor of 20 in the last few years. I will give an overview of the latest results obtained with the CMS experiment, focusing on the more recent boosted search.
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