A Deep Neural Network for Simultaneous Estimation of b Jet Energy and Resolution
A. Tumasyan, W. Adam, M. Dragicevic, A. Escalante Del Valle et autres
Abstract We describe a method to obtain point and dispersion estimates for the energies of jets arising from b quarks produced in proton–proton collisions at an energy of $$\sqrt{s}=13\,\text {TeV} $$ s=13TeV at the CERN LHC. The algorithm is trained on a …
am, at, be, br (code pays fourni par la source)
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Computing and Software for Big Science