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Ish: 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
Maqola200910 iqtibosABIA portrait of the Higgs boson by the CMS experiment ten years after the discovery
A. Tumasyan, W. Adam, J. W. Andrejkovic +97
Maqola20223 iqtibosABIReconstruction 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
Maqola20173 iqtibosABIAn embedding technique to determine ττ backgrounds in proton-proton collision data
A. M. Sirunyan, A. Tumasyan, W. Adam +97
Maqola20193 iqtibosABIIdentification of hadronic tau lepton decays using a deep neural network
A. Tumasyan, W. Adam, J.W. Andrejkovic +97
Maqola20222 iqtibosABIPerformance of the CMS high-level trigger during LHC Run 2
A. Hayrapetyan, A. Tumasyan, W. Adam +97
Maqola20242 iqtibosABIMeasurements 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
MaqolaParticle physics theoretical and experimental studiesThe European Physical Journal C20231 iqtibosABI