Convolved Substructure: Analytically Decorrelating Jet Substructure Observables

Understand

A number of recent applications of jet substructure, in particular searches for light new particles, require substructure observables that are decorrelated with the jet mass.

• In this paper we introduce the Convolved SubStructure (CSS) approach, which uses a theoretical understanding of the observable to decorrelate the complete shape of its distribution.
• This decorrelation is performed by convolution with a shape function whose parameters and mass dependence are derived analytically.
• We consider in detail the case of the $D_2$ observable and perform an illustrative case study using a search for a light hadronically decaying $Z'$.