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A deep neural network for simultaneous estimation of b quark energy and resolution
We describe a method to obtain point and dispersion estimates for the energy of jets arising from bottom quarks (b jets) in proton-proton (pp) collisions at the CERN LHC. The algorithm is trained using a large simulated sample of b jets produced in pp collisions recorded at an energy of $\sqrt{s}=13...
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2019
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| Acceso en línea: | http://cds.cern.ch/record/2690804 |