# Subtracted Cumulants: Mitigating Large Background in Jet Substructure

## TL;DR

This paper presents a novel method using subtracted cumulants of jet substructure observables to effectively reduce background contamination in jet physics, enabling more accurate comparisons between theory and experiment.

## Contribution

The paper introduces subtracted cumulants as a background-insensitive approach for jet substructure analysis, validated through Monte Carlo and analytic calculations.

## Key findings

- Subtracted cumulants effectively remove pile-up and underlying event contributions.
- Good agreement between analytic calculations and ATLAS measurements.
- Method improves the precision of jet substructure studies in proton-proton collisions.

## Abstract

We introduce a new approach for jet physics studies using subtracted cumulants of jet substructure observables, which are shown to be insensitive to contributions from soft-particle emissions uncorrelated with the hard process. Therefore subtracted cumulants allow comparisons between theoretical calculations and experimental measurements without the complication of large background contaminations such as underlying and pile-up events in hadron collisions. We test our method using subtracted jet mass cumulants by comparing Monte Carlo simulations to analytic calculations performed using soft-collinear effective theory. We find that, for proton-proton collisions, the method efficiently eliminates contributions from multiparton interactions and pile-up events. We also find within theoretical uncertainty our analytic calculations are in good agreement with the subtracted cumulants calculated by using ATLAS jet mass measurements.