15-18 April 2019
CERN
Europe/Zurich timezone
There is a live webcast for this event.

ML Techniques for heavy flavour identification in CMS

17 Apr 2019, 14:40
30m
500/1-001 - Main Auditorium (CERN)

500/1-001 - Main Auditorium

CERN

400
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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. Moreover, the classification of boosted jets has acquired an increasing importance in the physics program of CMS. In this presentation we will present the performance on both simulated and real data of our latest resolved and boosted heavy flavour taggers 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.

Preferred contribution length 30 minutes

Primary author

Emil Sorensen Bols (Vrije Universiteit Brussel (BE))

Presentation Materials