Nov 14 – 16, 2018
Fermilab
America/Chicago timezone

ML Techniques for heavy flavour identification in CMS (25'+5')

Nov 14, 2018, 2:50 PM
30m
One West (WH1W) (Fermilab)

One West (WH1W)

Fermilab

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.

Presentation materials