Speaker
Emil Sorensen Bols
(Vrije Universiteit Brussel (BE))
Description
Jet flavour identification is a fundamental component for the physics program of the LHC-based experiments. The presence of multiple flavours to be identified leads to a multiclass classification problem. In this presentation we will present the performance on both simulated and real data of our latest resolved heavy flavour taggers, DeepCSV and DeepFlavour as well as the future prospects for the evolution of these techniques and the technical strategies adopted to deploy them in the harsh computing environment of a large-scale HEP computing software stack.
