Speaker
Angela Zaza
(Universita e INFN, Bari (IT))
Description
At the CMS experiment, the identification of heavy flavor jets, i.e. jets originated from bottom and charm quarks, is crucial for many Standard Model (SM) measurements, mostly involving the top quark and the Higgs boson studies, and searches for new physics. The CMS collaboration developed extremely powerful jet tagging algorithms based on deep learning methods, which state-of-the-art will be illustrated in this contribution. The performance measured in simulation and data collected during Run-2 will be presented, including both the resolved and boosted topologies.
Details
Angela Zaza, PhD student, University of Bari & INFN, Italy
| Is this abstract from experiment? | Yes |
|---|---|
| Name of experiment and experimental site | CMS |
| Is the speaker for that presentation defined? | Yes |
| Internet talk | No |
Author
Angela Zaza
(Universita e INFN, Bari (IT))
