Speaker
Anna Stakia
(CERN)
Description
The identification of jets originating from heavy flavour quarks is a crucial aspect in numerous searches at the Large Hadron Collider. In the context of the CMS experiment, a new tagger, DeepFlavour, that uses Deep Neural Networks has been developed. DeepFlavour is a multiclassifier that is found to outperform significantly other taggers used in CMS, being so far tested in simulation. This gain in performance, especially for jets with high transverse momenta, can lead to improved sensitivity for several analyses both on searches for New Physics and on Standard Model processes.
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Author
Anna Stakia
(CERN)
