Jet Substructure Templates: Data-driven QCD Backgrounds for Fat Jet Searches

Understand

QCD is often the dominant background to new physics searches for which jet substructure provides a useful handle.

• Due to the challenges associated with modeling this background, data-driven approaches are necessary.
• This paper presents a novel method for determining QCD predictions using templates -- probability distribution functions for jet substructure properties as a function of kinematic inputs.
• Templates can be extracted from a control region and then used to compute background distributions in the signal region.