#CMSpaper soon on arXiv: Search for low-mass resonances decaying to ττ and measurement of the Υ → ττ decay in proton-proton collisions at √s = 13.6 TeV (CERN-EP-2026-051) https://cds.cern.ch/record/2962964
Search for low-mass resonances decaying to $ \tau\tau $ and measurement of the $ \Upsilon\to\tau\tau $ decay in proton-proton collisions at $ \sqrt{s} = $ 13.6 TeV

An inclusive search is presented for spin-zero bosons decaying to $ \tau\tau $ in a previously unexplored mass range between 20 and 60 GeV using proton-proton collision data at $ \sqrt{s}= $ 13.6 TeV, corresponding to an integrated luminosity of 61.9 fb$ ^{-1} $ recorded by CMS in 2022--2023. A high-rate trigger stream in combination with a novel low-momentum hadronic tau reconstruction algorithm have enabled a measurement of the $ \Upsilon(1S,2S,3S)\to\tau^{+}\tau^{-} $ process in the challenging environment of a hadron collider, with a 5.8 $ \sigma $ significance above background and production cross section of 3.5 $ \pm $ 0.7 (stat) $ \pm $ 0.7 (syst) nb for visible rapidity $ |y_{\text{vis}}| < $ 1.2 and visible transverse momentum $ p_{\mathrm{T}}^\text{vis} > $ 15 GeV. No significant excess above the standard model background is observed. Upper limits on the product of the spin-zero resonance production cross section and branching fraction to $ \tau\tau $ are set at 95% confidence level between 40 and 400 pb.

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To accurately reconstruct all particles in LHC collision, CMS uses a technique called "Particle Flow". This #CMSPaper shows how the newest, #machinelearning based particle flow algorithm performs in recent data and how well it does at rejecting extra uninteresting collisions arxiv.org/abs/2601.17554
This #CMSPaper measures interactions between photons and Z bosons (quantum particles of electromagnetism and weak force). And measures if there are effects that explain why our universe contains more matter than antimatter. It's the most sensitive result for that signature arxiv.org/abs/2601.14102
Experiments like CMS need algorithms called a trigger to decide which of the ~ 1 in 1000 events they want to keep (the other 999 are thrown away). This #CMSPaper describes the #machinelearning that is needed to do that for tau leptons https://arxiv.org/abs/2602.11359
This is a big one: the #CMSPaper summarising all precise Higgs boson measurements on data collected in 2016, 2017 and 2018. We agree with the standard model prediction for the total number of Higgs bosons, within 5-6% those are still big uncertainties for particle physics) https://arxiv.org/abs/2602.18611
There are many predictions for undiscovered particles that are similar to the Higgs particle. This #CMSPaper looks for the double whammy: two different undiscovered Higgs-like particles! It is the first time this was done. We didn't see anything but also used limited data https://arxiv.org/abs/2602.00273
This paper measures the polarisation of gluons within particle cascades. It turns out that the quantum particle of the strong nuclear force needs to be modelled with polarisation to reproduce the data. This #CMSPaper is important for understanding the strong nuclear force https://arxiv.org/abs/2603.03689
Top quarks are usually produced in quark-antiquark pairs, but through the weak interaction, it is possible to create single top quarks too. This #CMSPaper measures one of the single top quark production modes, and provides important input to measure and understand quantum fluctuations inside protons
#CMSpaper: Search for single vector-like quark production in opposite-sign dilepton final states in proton-proton collisions at √s = 13 TeV (arXiv:2605.13649) https://arxiv.org/abs/2605.13649 #NewPhysics
How quarks cluster together into hadrons is only partially understood. With heavy quarks it is easier to calculate and measuring bound bottom quark-antiquark pairs is therefor super important to understand this aspect of the strong force. This #CMSPaper measures the Upsilon particles https://buff.ly/p5QZ00p