Abstract

We investigate a neural network-based hypothesis test to distinguish different $W'$ and charged scalar resonances through the $\ell+\require{cancel}\cancel{E}_T$ channel at hadron colliders. This is traditionally challenging due to a four-fold ambiguity at proton-proton colliders, such as the Large Hadron Collider. Of the neural network approaches we studied, we find a multi-class classifier based on a fully-connected neural network trained upon 2D histograms made from kinematic variables of the final state $\ell$ to be the most powerful. Furthermore, by considering the 1-jet processes, we demonstrate that one can generalize to multiple $2D$ histograms to represent different variable pairs. Finally, as a comparison to traditional approaches, we compare our method with Bayesian hypothesis testing and discuss the pros and cons of each approach. The neural network scheme presented in this paper is a powerful tool that can help probe the properties of charged resonances.

Highlights

  • Ever since the discovery of the W boson through the eν decay channel in 1983 at the SPS collider [1,2], the search for W0 and other charged boson resonances has continued

  • We mainly focus on Fully connected neural network upon histograms (FNNh) since it gives the best performance

  • We have investigated the ability of using deep neural networks to distinguish different resonances in the pp → W0=H → lνl process at the HL-Large Hadron Collider (LHC)

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Summary

INTRODUCTION

Ever since the discovery of the W boson through the eν decay channel in 1983 at the SPS collider [1,2], the search for W0 and other charged boson resonances has continued. Some of the most important properties to be identified of a W0 would be the mass, decay width, and couplings to the Standard Model (SM) fermions; if we further include the study of charged scalar bosons, spin would be important. The longitudinal momentum can be solved from a quadratic equation assuming that the mediating boson is on-shell, but there is no event-by-event information that can be used to determine which of the two quadratic solutions is correct This ambiguity has already been pointed out in several studies involving =ET, such as the reconstruction of W → eν at the SPS pp Collider [1] and top-pair production at the Tevatron [14]. More technical details of our investigations are provided in the Appendix

PARTON-LEVEL ANALYSIS OF GENERAL SINGLY CHARGED BOSONS
SAMPLE GENERATION AND ANALYSIS
Zero-jet samples
One-jet samples
MODEL STRUCTURE AND TRAINING SPECIFICATIONS
FNNi structure
FNNh structure
Training specifications
TRAINING RESULTS
Zero-jet results
One-jet results
COMPARISON WITH BAYESIAN HYPOTHESIS TEST
CONCLUSIONS
Kinematic window and resolution
Consistency between binary and ternary classifiers
Applying the wrong models
Full Text
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