Konu "Pattern Recognition, Cluster Finding, Calibration And Fitting Methods" için Araştırma Çıktıları | TR-Dizin | WoS | Scopus | PubMed listeleme
Toplam kayıt 4, listelenen: 1-4
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An embedding technique to determine tau tau backgrounds in proton-proton collision data
(Iop Publishing Ltd, 2019)An embedding technique is presented to estimate standard model tau tau backgrounds from data with minimal simulation input. In the data, the muons are removed from reconstructed mu mu events and replaced with simulated tau ... -
Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques
(Iop Publishing Ltd, 2020)Machine-learning (ML) techniques are explored to identify and classify hadronic decays of highly Lorentz-boosted W/Z/Higgs bosons and top quarks. Techniques without ML have also been evaluated and are included for comparison. ... -
Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV
(Iop Publishing Ltd, 2018)Many measurements and searches for physics beyond the standard model at the LHC rely on the efficient identification of heavy-flavour jets, i.e. jets originating from bottom or charm quarks. In this paper, the discriminating ... -
Reconstruction of signal amplitudes in the CMS electromagnetic calorimeter in the presence of overlapping proton-proton interactions
(Iop Publishing Ltd, 2020)A template fitting technique for reconstructing the amplitude of signals produced by the lead tungstate crystals of the CMS electromagnetic calorimeter is described. This novel approach is designed to suppress the contribution ...