Speaker
Seung Joon Lee
(Korea University)
Description
Neural network-based algorithms provide a promising approach to jet classification problems, such as boosted top jet tagging. In this talk, I will discuss that the jet observable defined by the convolutional neural network obeys the canonical definition of infrared safety: it is unaffected by the presence of the extra gluon, as long as it is soft or collinear with one of the quarks, which indicates that the convolutional neural network tagger is robust with respect to possible mis-modeling of soft and collinear final-state radiation by Monte Carlo generators.
Author
Seung Joon Lee
(Korea University)
