Developing novel jet flavour tagging techniques at high transverse momentum for the ATLAS experiment at the LHC

The kinematics of b-hadrons decay and the associated time of flight at high scales of momentum challenge conventional approaches to identify the jets that contain them. In the context of the ATLAS experiment, current identification algorithms are based on the reconstruction of charged tracks and of secondary decay vertices inside jets. A new experimental technique to identify the flavour of jets at the TeV scale is presented. I focus on the spatial distribution of clusters of silicon pixels activated by the passage of charged particles in the tracking system near to the identified jet axis. Exploiting the discriminant power of the patterns that they display could enhance the capability of the algorithms to identify the flavour of jets at an energy scale interesting for the searches of new physics at the LHC.