Jet tagging in the Lund plane with graph networks

Frederic Dreyer
https://indico.cern.ch/event/1037559/contributions/4453974/

The identification of boosted heavy particles such as top quarks or vector bosons is one of the key problems arising in experimental studies at the Large Hadron Collider. In this talk, we present LundNet, a novel jet tagging method which relies on graph neural networks and an efficient description of the radiation patterns within a jet to optimally disentangle signatures of boosted objects from background events. We apply this framework to a number...
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