Learn · CERN

Talk28 min

ML Techniques for heavy flavour identification in CMS

Emil Sorensen Bols · CERN

Watch At CERN

About

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..

0:00:00 Slide 1

0:00:40 Slide 2

0:02:13 Slide 3

0:02:40 Slide 4

0:03:29 Slide 5

0:05:38 Slide 6

0:07:06 Slide 7

0:08:40 Slide 8

0:09:47 Slide 9

0:10:20 Slide 10

0:10:50 Slide 11

The talk

  1. ML Techniques for heavy flavour identification in CMS 2019-04-17 · 28 min · CERN's player

Credits and licence

Institution
CERN
Department
LPCC Workshops
Speaker
Emil Sorensen Bols
Year
2019
Language
English
Subjects
Computer science
Source
CERN
Licence
CERN, as CERN states it. CERN's terms
Attribution
© CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
Who can watch
CERN gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed