Minimizing Selection Bias in Inclusive Jets in Heavy-Ion Collisions with Energy Correlators -- arXiv note

TL;DR

This paper introduces an energy correlator-based observable to reduce selection bias in inclusive jet measurements in heavy-ion collisions and applies it to CMS data, advancing jet quenching studies.

Contribution

It presents a novel observable based on energy correlators that minimizes selection bias, and demonstrates its application to real heavy-ion collision data.

Findings

First measurement of energy correlators in heavy-ion collisions

Reduced selection bias in jet energy loss analysis

Potential for improved understanding of jet quenching phenomena

Abstract

This note serves as a companion to a Letter, where we introduce a new energy correlator-based observable designed to minimize the impact of selection bias due to energy loss in inclusive jets in heavy-ion collisions. Here, we apply the method outlined in the Letter to the first-ever measurement of energy correlators in heavy-ion collisions, recently released by the CMS Collaboration.