Double parton interactions as a background to associated HW production at the Tevatron

TL;DR

This paper investigates double parton interactions as a significant background in associated Higgs and W boson production at the Tevatron, proposing variables and neural network techniques to improve signal sensitivity.

Contribution

It introduces a method to distinguish double parton background events from HW signal using kinematic variables and neural networks, enhancing detection sensitivity.

Findings

DP background yield can be substantial

Selected variables improve event separation

Neural network enhances Higgs detection sensitivity

Abstract

In this paper we study events with W+jets final state, produced in double parton (DP) interactions, as a background to the associated Higgs boson (H) and W production, with H->bbar decay, at the Tevatron. We have found that the event yield from the DP background can be quite sizable, which necessitates a choice of selection criteria to separate the HW and DP production processes. We suggest a set of variables sensitive to the kinematics of DP and HW events. We show that these variables, being used as an input to the artificial neural network, allow one to significantly improve a sensitivity to the Higgs boson production.