Speaker
Giorgio Cerro
(University of Southampton)
Description
We are trying to investigate how to extract particles' properties, such as colour charge and spin, and use them to improve the jet clustering, as the standard models use only kinematics variables. At the moment, we are looking at two different events, $pp \rightarrow gZ \rightarrow b\bar{b}e{e}$ and $pp \rightarrow HZ \rightarrow b\bar{b}e{e}$, in order to find a way to use the differences between the two pairs of b-jets - in the second event they are colour connected, unlike in the first event - into a new clustering algorithm. We are exploiting Spectral Clustering, which is a machine learning algorithm which needs only few parameters to tune and give us more sense of what is happening while clustering particles.
Author
Giorgio Cerro
(University of Southampton)
