No significant excess observed; 95% CL exclusion of higgsino electroweakinos with mass splittings 0.28-1.15 GeV and chargino masses up to 185 GeV using soft-track and neural-network selection.
Identification of hadronic tau lepton decays using a deep neural network
10 Pith papers cite this work, alongside 45 external citations. Polarity classification is still indexing.
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CMS excludes κ_VV outside 0.40-1.60 at 95% CL and constrains κ_2W and κ_2Z using VBS events with a boosted Higgs to bb decay.
No statistically significant excess is observed in the search for Higgs decays to two neutral scalars with unequal masses, setting 95% CL upper limits between 0.9 and 36.8 pb depending on mass and decay scenario.
Combined CMS result gives α^{Hττ} = 7 ± 16° for the CP mixing angle in H→ττ, consistent with SM expectation of 0 ± 14°.
No evidence found for additional Higgs boson pairs in Type-X 2HDM; new limits exclude the model for explaining the muon anomalous magnetic moment anomaly.
No evidence found for heavy resonances decaying to Higgs pairs; sets the most sensitive LHC upper limits on X to HH to bb tau tau in the 1.4-4.5 TeV mass range.
New upper limits exclude mediator masses up to 4.5 TeV for a 50 GeV dark Higgs and up to 2.5 TeV for 150 GeV in a spin-1 mediator dark matter model, the most stringent to date for these masses.
CMS deployed ML-based high-level triggers for hadronic tau leptons with high efficiency and low compute cost, validated on 62 fb^{-1} of 2022-2023 data.
No excess observed in search for Higgs to a1 a1 decays; 95% CL upper limits on branching ratio range 0.007-0.079 for a1 masses 4-15 GeV, excluding >16% in Type III 2HD+S for tan beta >2.
No excess in VVV production; bounds set on c_W/Λ² (-0.13 to 0.12 TeV^{-2}) and c_Hq3/Λ² (-0.24 to 0.21 TeV^{-2}) at 95% CL.
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High-level hadronic tau lepton triggers of the CMS experiment in proton-proton collisions at $\sqrt{s}$ = 13.6 TeV
CMS deployed ML-based high-level triggers for hadronic tau leptons with high efficiency and low compute cost, validated on 62 fb^{-1} of 2022-2023 data.