Elaborating Higgs to dimuon decay from gluon fusion by decorrelation and jet substructure

TL;DR

This paper proposes a decorrelation technique using distance correlation to improve Higgs to dimuon decay analysis, demonstrating that incorporating jet substructure variables significantly enhances signal significance.

Contribution

It introduces a novel decorrelation method with distance correlation and evaluates the impact of jet substructure variables on signal detection.

Findings

Decorrelation improves analysis precision.

Jet substructure variables increase signal significance.

Method enhances Higgs to dimuon detection prospects.

Abstract

Discovery of the Higgs boson decay to dimuon is anticipated soon based on the current evidence. Precise categorization of the events without affecting the invariant mass shape is crucial in the analysis. Decorrelation of the invariant mass and the output of discriminators (the score of discriminators) is essential for consistent and precise analysis. In this paper we use distance correlation as the additional loss function to achieve the decorrelation for discriminators and examine various analysis methods. The analyses with and without jet substructure variables are presented. Adding jet substructure variables considerably improves the significance of the Higgs to dimuon signal from gluon fusion.