From the 1 of 111 linked papers with an AI index.
6 citations · 20 across the 26 of their papers we have counts for
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Search for a new scalar resonance decaying to a Higgs boson and another new scalar particle in the final state with two bottom quarks and two photons in proton-proton collisions at = 13 TeV
CMS Collaboration
A search is presented for a new scalar resonance, X, decaying to a standard model Higgs boson and another new scalar particle, Y, in the final state where the Higgs boson decays to…
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…
A Linear Collider Vision for the Future of Particle Physics
H. Abramowicz, E. Adli, F. Alharthi +446
In this paper we review the physics opportunities at linear colliders with a special focus on high centre-of-mass energies and beam polarisation, take a fresh look at the…
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…
Search for new physics in jet multiplicity patterns of multilepton events at = 13 TeV
CMS Collaboration
A first search for beyond the standard model physics in jet multiplicity patterns of multilepton events is presented, using a data sample corresponding to an integrated luminosity…
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…