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An embedding technique to determine ττ backgrounds in proton-proton collision data
(IOP Publishing, 2019-06)
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 ...
Reconstruction of signal amplitudes in the CMS electromagnetic calorimeter in the presence of overlapping proton-proton interactions
(IOP Publishing, 2020-10)
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 ...
3D neuromorphic wireless power transfer and energy transmission based synaptic plasticity
(IEEE, 2019)
Energy consumption combined with scalability and 3D architecture is a fundamental constraint for brain-inspired computing. Neuromorphic architectures including memristive, spintronic, and floating gate metal-oxide-semiconductors ...
Identification of hadronic tau lepton decays using a deep neural network
(IOP Publishing, 2022-07)
A new algorithm is presented to discriminate reconstructed hadronic decays of tau leptons (τ h) that originate from genuine tau leptons in the CMS detector against τ h candidates that originate from quark or gluon jets, ...
A new calibration method for charm jet identification validated with proton-proton collision events at √s = 13 TeV
(IOP Publishing, 2022-03-17)
Many measurements at the LHC require efficient identification of heavy-flavour jets, i.e. jets originating from bottom (b) or charm (c) quarks. An overview of the algorithms used to identify c jets is described and a novel ...
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