most citedIdentification of tau leptons using a convolutional neural network with domain adaptation

1 citations · 1 across the 2 of their papers we have counts for

collaborators

6 papers

hep-ex2026

Measurement of the Z production cross section and search for anomalous neutral triple gauge couplings in pp collisions at = 13 TeV

CMS Collaboration

A measurement of the fiducial cross section of the associated production of a Z boson and a high- photon, where the Z decays to two neutrinos, and a search for anomal…

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

Determination of the spin and parity of all-charm tetraquarks

CMS Collaboration

The traditional quark model accounts for the existence of baryons, such as protons and neutrons, which consist of three quarks, as well as mesons, composed of a quark-antiquark pai…

hep-ex2025

Search for charged-lepton flavour violation in top quark interactions with an up-type quark, a muon, and a lepton in proton-proton collisions at = 13 TeV

CMS Collaboration

A search for charged-lepton flavour violation (CLFV) in top quark (t) production and decay is presented. The search uses proton-proton collision data corresponding to 138 fb

hep-ex2025

Measurements of the inclusive W and Z boson production cross sections and their ratios in proton-proton collisions at = 13.6 TeV

CMS Collaboration

Measurements are presented of the W and Z boson production cross sections in proton-proton collisions at a center-of-mass energy of 13.6 TeV. Data collected in 2022 and correspondi…

hep-ex2025

Development of systematic uncertainty-aware neural network trainings for binned-likelihood analyses at the LHC

CMS Collaboration

We propose a neural network training method capable of accounting for the effects of systematic variations of the data model in the training process and describe its extension towa…