Search for electroweak production of charginos and neutralinos at $\sqrt{s}$ =13 TeV in final states containing hadronic decays of WW, WZ, or WH and missing transverse momentum

The CMS collaboration
Tumasyan, Armen , Adam, Wolfgang , Andrejkovic, Janik Walter , Bergauer, Thomas , Chatterjee, Suman , Damanakis, Konstantinos , Dragicevic, Marko , Escalante Del Valle, Alberto , Fruehwirth, Rudolf , Jeitler, Manfred
Phys.Lett.B 842 (2023) 137460, 2023.

Abstract (data abstract)
Results showing the search for direct production of charginos and neutralinos via electroweak interactions.The results are based on data from proton-proton collisions at a center-of-mass energy of $13~\mathrm{TeV}$ collected with the CMS detector at the LHC, corresponding to an integrated luminosity of $137~\mathrm{fb}^{-1}$.The search considers final states with large missing transverse momentum and pairs of hadronically decaying bosons WW, WZ, and WH, where H is the Higgs boson.These bosons are identified using novel algorithms.No significant excess of events is observed relative to the expectations from the standard model.Limits at the 95\% confidence level are placed on the cross section for production of mass-degenerate wino-like supersymmetric particles $\widetilde{\chi}_{1}^{\pm}$ and $\widetilde{\chi}_{2}^{0}$, and mass-degenerate higgsino-like supersymmetric particles $\widetilde{\chi}_{1}^{\pm}$, $\widetilde{\chi}_{2}^{0}$, and $\widetilde{\chi}_{3}^{0}$.In the limit of a nearly-massless lightest supersymmetric particle $\widetilde{\chi}_{1}^{0}$, wino-like particles with masses up to 870 and $960~\mathrm{GeV}$ are excluded in the cases of $\widetilde{\chi}_{2}^{0}\to\mathrm{Z}\widetilde{\chi}_{1}^{0}$ and $\widetilde{\chi}_{2}^{0}\to\mathrm{H}\widetilde{\chi}_{1}^{0}$, respectively, and higgsino-like particles are excluded between 300 and $650~\mathrm{GeV}$.

Version 2 modifications: In version 2, the record has been extended to include: - tagger efficiencies; - signal acceptance times efficiency maps for each search region bin, for all signal models; - correlation and covariance matrices.

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