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arXiv · 2003.12281

Measuring the trilinear Higgs boson self--coupling at the 100 TeV hadron collider via multivariate analysis

Jubin Park·Jung Chang·Kingman Cheung·Jae Sik Lee
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Abstract

We perform a multivariate analysis of Higgs-pair production via the decay channel $HH \to b\bar b \gamma\gamma$ at the future 100 TeV $pp$ collider to determine the trilinear Higgs self--coupling (THSC) $\lambda_{3H}$, which takes the value of 1 in the standard model. We consider all known background processes. For the signal we adopt the most recent event generator of {\tt POWHEG-BOX-V2} to exploit the NLO distributions for Toolkit for Multivariate Data Analysis (TMVA). Through the technique of Boosted Decision Tree (BDT) analysis trained for $\lambda_{3H}=1$, compared to the the conventional cut-and-count approach, the signal-to-background ratio improves tremendously from about $1/10$ to $1$ and the significance can reach up to $20.5$ with a luminosity of 3 ab$^{-1}$ without including systematic uncertainties. In addition, by implementing a likelihood fitting of the signal-plus-background $M_{\gamma\gamma b b}$ distribution with optimized bin sizes, it is possible to determine the THSC with the precision of 7.5\% at 68\% CL even at the early stage of 100 TeV hadron collider with 3 ab$^{-1}$.

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Jubin Park, Jung Chang, Kingman Cheung, Jae Sik Lee. 2020-03-27. Measuring the trilinear Higgs boson self--coupling at the 100 TeV hadron collider via multivariate analysis. https://doi.org/10.1103/physrevd.102.073002

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