Background Modeling in New Physics Searches Using Forward Events at LHC

TL;DR

This paper introduces a data-driven background estimation method using forward events in proton-proton collisions at the LHC, aimed at improving early new physics searches by reducing reliance on simulations.

Contribution

It develops a novel approach to measure Standard Model backgrounds directly from data with high rapidity objects, enhancing robustness in early LHC analyses.

Findings

Effective background measurement technique demonstrated.

Reduces dependence on background modeling and detector simulation.

Applicable to early-stage LHC data analyses.

Abstract

We present a method to measure dominant Standard Model backgrounds using data containing high rapidity objects in pp collisions at the Large Hadron Collider. The method is developed for analyses of early LHC data when robustness against imperfections of background modeling and detector simulation can be a key to the discovery of new physics at LHC.