Prospects for Measuring the Higgs Boson Decay to $WW^{*}$ in Fully Hadronic Final States at the ILC Using Multivariate Techniques

TL;DR

This study evaluates the potential to measure the Higgs boson decay to WW* in fully hadronic final states at the ILC using advanced multivariate machine learning techniques, achieving precisions of 4.1% and 6.5%.

Contribution

It introduces a detailed simulation-based analysis of Higgs to WW* decay measurement at the ILC with novel application of multivariate techniques for this channel.

Findings

Achieved relative statistical uncertainties of 4.1% at 250 GeV

Achieved relative statistical uncertainties of 6.5% at 500 GeV

Demonstrated effectiveness of machine learning in Higgs decay analysis

Abstract

In this paper, the statistical potential of the measurement of Higgs to $WW^{*}$ decay at the International Linear Collider (ILC) is presented. The Higgs boson with a mass of 125 GeV is produced through the Higgsstrahlung production channel. The study is conducted at two center-of-mass energies, 250 and 500 GeV. The fully hadronic final state is analyzed. The analysis is performed on Monte Carlo data samples obtained using detailed ILD detector simulation, assuming an integrated luminosity of 500 fb$^{-1}$ and maximal beam polarization of both beams, $P(e^{+}e^{-}) = (+0.3, -0.8)$. The background from $\gamma\gamma \to$ hadron processes is overlaid on each event. Analyses are performed using machine learning. The obtained relative statistical uncertainties of the measurement are 4.1% and 6.5% at 250 and 500 GeV, respectively.