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Иш: Development of systematic uncertainty-aware neural network trainings for binned-likelihood analyses at the LHC
NLO Higgs boson production via gluon fusion matched with shower in POWHEG
Simone Alioli, Paolo Nason, Carlo Oleari +1
Мақола200910 иқтибосABIA portrait of the Higgs boson by the CMS experiment ten years after the discovery
A. Tumasyan, W. Adam, J. W. Andrejkovic +97
Мақола20223 иқтибосABIReconstruction of the Higgs mass in events with Higgs bosons decaying into a pair of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si0532.gif" overflow="scroll"><mml:mi>τ</mml:mi></mml:math> leptons using matrix element techniques
Lorenzo Bianchini, Betty Calpas, J. Conway +4
Мақола20173 иқтибосABIAn embedding technique to determine ττ backgrounds in proton-proton collision data
A. M. Sirunyan, A. Tumasyan, W. Adam +97
Мақола20193 иқтибосABIIdentification of hadronic tau lepton decays using a deep neural network
A. Tumasyan, W. Adam, J.W. Andrejkovic +97
Мақола20222 иқтибосABIPerformance of the CMS high-level trigger during LHC Run 2
A. Hayrapetyan, A. Tumasyan, W. Adam +97
Мақола20242 иқтибосABIMeasurements of Higgs boson production in the decay channel with a pair of $$\uptau $$ leptons in proton–proton collisions at $$\sqrt{s}=13$$ TeV
A. Tumasyan, W. Adam, Janik Walter Andrejkovic +97
МақолаParticle physics theoretical and experimental studiesThe European Physical Journal C20231 иқтибосABI