CMS-PAS-FTR-21-006

CMS-PAS-FTR-21-006
Prospects for the precise measurement of the Higgs boson properties in the H $\to\mu\mu$ decay channel at the HL-LHC
CMS Collaboration
March 2022

Abstract: The expected precision for measurements of the Higgs boson properties in the H $\to\mu\mu$ channel at the High-Luminosity LHC with an integrated luminosity of up to 3 ab$^{-1}$ at a center-of-mass energy of 14 TeV is presented. The precision is estimated by extrapolating the Run 2 results obtained at a center-of-mass energy of 13 TeV and corresponding to an integrated luminosity of 137 fb$^{-1}$. The extrapolation takes into account the increased center-of-mass energy, as well as the changes to the CMS detector geometry and performance after the Phase-2 upgrade. The uncertainty on the H $\to\mu\mu$ signal strength and the uncertainty on the coupling modifier $\kappa_\mu$ are found to decrease by 30-35% with respect to previous projections performed for this search.
Links: CDS record (PDF) ; CADI line (restricted) ;

Figures & Tables	Summary	References	CMS Publications

Figures
png pdf	Figure 1: Uncertainty on signal strength modifier $r^{\mu \mu}$ (left) and $\kappa _\mu $ (right).
png pdf	Figure 1-a: Uncertainty on signal strength modifier $r^{\mu \mu}$ (left) and $\kappa _\mu $ (right).
png pdf	Figure 1-b: Uncertainty on signal strength modifier $r^{\mu \mu}$ (left) and $\kappa _\mu $ (right).
png pdf	Figure 2: Effect of improved dimuon mass resolution in ggH channel for S2 uncertainty scenario. Left: uncertainty on signal strength modifier $r^{\mu \mu}$. Right: uncertainty on coupling modifier $\kappa _\mu $.
png pdf	Figure 2-a: Effect of improved dimuon mass resolution in ggH channel for S2 uncertainty scenario. Left: uncertainty on signal strength modifier $r^{\mu \mu}$. Right: uncertainty on coupling modifier $\kappa _\mu $.
png pdf	Figure 2-b: Effect of improved dimuon mass resolution in ggH channel for S2 uncertainty scenario. Left: uncertainty on signal strength modifier $r^{\mu \mu}$. Right: uncertainty on coupling modifier $\kappa _\mu $.
png pdf	Figure 3: Left: extrapolation of the expected significance for S1 and S2 uncertainty scenarios. Right: effect of the improved dimuon mass resolution on expected significance in ggH channel for S2 uncertainty scenario.
png pdf	Figure 3-a: Left: extrapolation of the expected significance for S1 and S2 uncertainty scenarios. Right: effect of the improved dimuon mass resolution on expected significance in ggH channel for S2 uncertainty scenario.
png pdf	Figure 3-b: Left: extrapolation of the expected significance for S1 and S2 uncertainty scenarios. Right: effect of the improved dimuon mass resolution on expected significance in ggH channel for S2 uncertainty scenario.

Tables
png pdf	Table 1: Changes of the inclusive event yields due to updated cross sections and detector acceptance at the HL-LHC relative to the Run 2 yields for a given integrated luminosity.
png pdf	Table 2: Uncertainty on the signal strength modifier $r^{\mu \mu}$ at $\mathcal {L}=$ 3000 fb$^{-1}$.
png pdf	Table 3: Uncertainty on the coupling modifier $\kappa _\mu $ at $\mathcal {L}=$ 3000 fb$^{-1}$.

Summary

The measurements of the Higgs properties in the dimuon decay channel were extrapolated to the projected conditions at the HL-LHC, with upgraded CMS detector and LHC center-of-mass energy increased to 14 TeV. The projections were performed for the integrated luminosity values up to 3 ab$^{-1}$ by rescaling the results of the full Run 2 analysis. The main factors affecting the analysis sensitivity at the HL-LHC were found to be the improved dimuon mass resolution, the extended pseudorapidity coverage of the Phase-2 detector, as well as the increase in signal cross sections at $\sqrt{s} = $ 14 TeV.

For $\mathcal{L}=$ 3 ab$^{-1}$ the uncertainty on the H $\to\mu\mu$ signal strength was estimated to be 8.5% (7.0%), and the uncertainty on coupling modifier $\kappa_\mu$ was estimated to be 4.3% (3.5%) for uncertainty scenario S1 (S2). The projected H $\to\mu\mu$ analysis sensitivity at the HL-LHC was found to improve by 30-35% with respect to the extrapolation performed after the 2016 data-taking period of the Run 2, and by 50-60% with respect to the extrapolation performed after the Run 1.

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