Identification of tau leptons using a convolutional neural network with domain adaptation
CMS Collaboration, A. Hayrapetyan, V. Makarenko, A. Tumasyan et autres
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KITopen
P. Checchia
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Les domaines associés
Particle physics theoretical and experimental studiesHigh-Energy Particle Collisions ResearchQuantum Chromodynamics and Particle InteractionsAdvanced Electron Microscopy Techniques and ApplicationsNeutrino Physics Research
Les publications récentes
Search for heavy pseudoscalar and scalar bosons decaying to a top quark pair in proton-proton collisions at √s = 13 TeV
The CMS collaboration, V. Makarenko, A. Tumasyan, W. Adam et autres
A search for pseudoscalar or scalar bosons decaying to a top quark pair ($t\overline{t}$) in final states with one or two charged leptons is presented. The analyzed proton–proton collision data was recorded at $\sqrt{s}$ = 13 TeV by the CMS experiment at …
0 citations
KITopen
Identification of tau leptons using a convolutional neural network with domain adaptation
CMS Collaboration, A. Hayrapetyan, V. Makarenko, A. Tumasyan et autres
A tau lepton identification algorithm, DeepTau, based on convolutional neural network techniques, has been developed in the CMS experiment to discriminate reconstructed hadronic decays of tau leptons ( τ$_h$) from quark or gluon jets and electrons and muons that are misreconstructed as …
0 citations
KITopen
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