Published August 24, 2018
| Version v1
Technical note
Open
Heavy-flavour jet tagging studies
Contributors
Supervisor (2):
Description
In this work, two approaches to the jet flavour tagging are studied using Monte Carlo simulated events with jets. First of them is the well established secondary vertex tagging with subsequent application of BDT method. The second studied approach to jet tagging is to use more sophisticated deep neural networks.
Files
report_Bendova.pdf
Files
(1.1 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:b0d6c564a601e89b0149391d4c023ba7
|
1.1 MB | Preview Download |
Additional details
Identifiers
- CDS Report Number
- CERN-STUDENTS-Note-2018-066
CERN
- Department
- EP - Experimental Physics Department
- Experiment
- LHCb