Pileup subtraction using jet areas

TL;DR

This paper introduces a data-driven, jet-area-based method for correcting pileup effects in high-energy physics experiments, improving the accuracy of jet measurements in complex collision environments.

Contribution

It presents a novel, model-independent technique for pileup subtraction using jet areas, applicable across various collider experiments and jet algorithms.

Findings

Effective pileup correction demonstrated for key processes

Applicable to Tevatron, LHC, and heavy-ion collisions

Does not rely on Monte Carlo simulations

Abstract

One of the major challenges for the LHC will be to extract precise information from hadronic final states in the presence of the large number of additional soft pp collisions, pileup, that occur simultaneously with any hard interaction in high luminosity runs. We propose a novel technique, based on jet areas, that provides jet-by-jet corrections for pileup and underlying-event effects. It is data driven, does not depend on Monte Carlo modelling and can be used with any jet algorithm for which a jet area can be sensibly defined. We illustrate its effectiveness for some key processes and find that it can be applied also in the context of the Tevatron, low-luminosity LHC and LHC heavy-ion collisions.