A data-driven method of pile-up correction for the substructure of massive jets

TL;DR

This paper introduces a data-driven method to correct for pile-up effects in the substructure of ultra-massive jets, improving measurement accuracy without relying on theoretical models.

Contribution

A novel, data-based pile-up correction technique tailored for jet substructure observables like jet mass, angularity, and planar flow, reducing bias and enhancing resolution.

Findings

Corrections align well with CDF data on massive jets.

Method effectively reduces pile-up bias in jet measurements.

Improves measurement resolution for jet substructure observables.

Abstract

We describe a method to measure and subtract the incoherent component of energy flow arising from multiple interactions from jet shape/substructure observables of ultra-massive jets. The amount subtracted is a function of the jet shape variable of interest and not a universal property. Such a correction is expected to significantly reduce any bias in the corresponding distributions generated by the presence of multiple interactions, and to improve measurement resolution. Since in our method the correction is obtained from the data, it is not subject to uncertainties coming from the use of theoretical calculations and/or Monte Carlo event generators. We derive our correction method for the jet mass, angularity and planar flow. We find these corrections to be in good agreement with data on massive jets observed by the CDF collaboration. Finally, we comment on the linkage with the concept of jet area and jet mass area.