Treating jet correlations in high pile-up at hadron colliders

TL;DR

This paper proposes a data-driven jet-mixing method to address pile-up effects in high-luminosity LHC runs, especially outside tracker regions, enhancing the analysis of jet correlations without relying on Monte Carlo simulations.

Contribution

It introduces a novel, data-driven jet-mixing technique for pile-up mitigation applicable outside tracker acceptance regions, independent of Monte Carlo models.

Findings

The method effectively reduces pile-up contamination in jet correlation measurements.

It accounts for both jet transverse momentum pedestal and hard pile-up jets.

The approach improves analysis accuracy in regions lacking precise vertex reconstruction.

Abstract

Experiments in the high-luminosity runs at the Large Hadron Collider face the challenges of very large pile-up. Primary techniques to deal with this are based on precise vertex and track reconstruction. Outside tracker acceptances, however, lie regions of interest for many aspects of the LHC physics program. We explore complementary approaches to pile-up treatment and propose a data-driven jet-mixing method which can be used outside tracker acceptances without depending on Monte Carlo generators. The method can be applied to treat correlation observables and take into account, besides the jet transverse momentum pedestal, effects of hard jets from pile-up.