Orateur
CLEMENT LOTTEAU
Description
My PhD thesis is the measurement of beauty production in
proton-proton and Pb-Pb collisions with the ALICE experiment at the CERN LHC and my talk will focus on a crucial part in the study of b-jet production: b-jet tagging.
I will compare two methods for b-jet tagging: the Track Counting method which relies on impact parameter significance, and Boosted Decision Trees (a machine learning technique). The comparison relies on two quantities: the efficiency and the purity of the b-jet tagging methods.
I will also mention the use of impact parameter for the rejection of pile-up in the data, as well as pile-up rejection with Boosted Decision Trees.
