Mitigating Large Background in Jet Substructure Observables

Daekyoung Kang,Yang-Ting Chien,Kyle Lee,Yiannis Makris,I Vitev,C Da Silva,S Mioduszewski,I Sarcevic,C Ratti,M Schlegel

doi:10.1051/epjconf/202023505002

Abstract

We discuss a new approach for jet physics analysis by using subtraction between cumulants of jet substructure observables. The subtracted cumulants are insensitive to soft-particle background uncorrelated with the hard process and allow comparisons between theoretical results and experimental measurements without the complication of soft background like underlying and pile-up events. We find our method using jet mass cumulants efficiently eliminates the background in Monte Carlo simulations and ATLAS jet mass measurements and they show a good agreement with our analytic calculations performed using soft-collinear effective theory.

Highlights

Jets produced everywhere in high-energy process are one of essential objects of study at high energy colliders
In Ref. [11], we proposed an alternative approach using subtraction between cumulants which cancel the contributions from soft uncorrelated emissions (SUEs) and applied for the transverse energy observable of DrellYan processes
We show that our theoretical predictions are in a good agreement with ATLAS measurements in subtracted cumulant space

Summary

Introduction

Jets produced everywhere in high-energy process are one of essential objects of study at high energy colliders. [11], we proposed an alternative approach using subtraction between cumulants which cancel the contributions from soft uncorrelated emissions (SUEs) and applied for the transverse energy observable of DrellYan processes. As a concrete example for this, we used the classic jet observable, jet mass mJ, and showed theoretical predictions for subtracted jet mass cumulant ∆ agree with Monte Carlo simulations and with ATLAS measurements. In this proceeding, we review and summarize of our result in [12]. We show that our theoretical predictions are in a good agreement with ATLAS measurements in subtracted cumulant space

Definition of the observable

Pythia simulations

Comparison with experimental data

Summary