most citedMeasurement of D meson photoproduction in ultraperipheral heavy ion collisions

2 citations · 6 across the 12 of their papers we have counts for

collaborators

12 papers

hep-ex20251 cited

Identification of tau leptons using a convolutional neural network with domain adaptation

CMS Collaboration

A tau lepton identification algorithm, DeepTau, based on convolutional neural network techniques, has been developed in the CMS experiment to discriminate reconstructed hadronic de…

hep-ex2025

Search for light pseudoscalar bosons, pair-produced in Higgs boson decays in the four-electron final state in proton-proton collisions at = 13 TeV

CMS Collaboration

A search for pairs of light neutral pseudoscalar bosons (A) resulting from the decay of a Higgs boson is performed. The search is conducted using LHC proton-proton collision data a…

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…

hep-ex20251 cited

Search for dijet resonances with data scouting in proton-proton collisions at = 13 TeV

CMS Collaboration

A search is presented for narrow resonances, with a mass between 0.6 and 1.8 TeV, decaying to pairs of jets, in proton-proton collisions at = 13 TeV. The search is perfo…

hep-ex20251 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…