activity
20192026
most citedA portrait of the Higgs boson by the CMS experiment ten years after the discovery

424 citations · 3.3k across the 176 of their papers we have counts for

collaborators
Showing 2025Show all

10 papers · 1 filter

hep-ex2025★ 1 cited

Search for new physics in the final state with a single photon and large missing transverse momentum in proton-proton collisions at = 13 TeV

CMS Collaboration

A search for new physics in events featuring a single photon and missing transverse momentum is presented, using proton-proton = 13 TeV collision data corresponding to a…

hep-ex2025

Search for Higgsinos in final states with low-momentum lepton-track pairs at 13 TeV

CMS Collaboration

We present a search for the pair production of Higgsinos in final states with large missing transverse momentum and either two reconstructed muons or a reconstructed lepton (muon o…

nucl-ex2025

Characterizing the initial state and dynamical evolution in XeXe and PbPb collisions using multiparticle cumulants

CMS Collaboration

For the first time, correlations among mixed-order moments of two or three flow harmonics() and (), with , , and d…

hep-ex2025

Search for single production of a vector-like T quark decaying to a top quark and a neutral scalar boson in the lepton+jets final state in proton-proton collisions at = 13 TeV

CMS Collaboration

A search for single production of a vector-like T quark with charge 2/3, decaying to a top quark and a neutral scalar boson is presented. The boson can be a standard model Higgs…

nucl-ex2025★ 3 cited

Observation of long-range collective flow in OO and NeNe collisions and implications for nuclear structure studies

CMS Collaboration

The long-range collective flow of particles produced in oxygen-oxygen (OO) and neon-neon (NeNe) collisions is measured with the CMS detector at the CERN LHC. The data samples were…

hep-ex2025★ 1 cited

Wasserstein normalized autoencoder for anomaly detection

CMS Collaboration

A novel anomaly detection algorithm is presented. The Wasserstein normalized autoencoder (WNAE) is a normalized probabilistic model that minimizes the Wasserstein distance between…