2 documents found, page 1 of 1
A Deep Neural Network for Simultaneous Estimation of b Jet Energy and Resolution
Sirunyan, A. M.; Tumasyan, A.; Adam, W.; Ambrogi, F.; Bergauer, T.; Dragicevic, M.; Erö, J.; Valle, A. Escalante Del; Flechl, M.; Frühwirth, R.Made available in DSpace on 2022-05-01T02:51:13Z (GMT). No. of bitstreams: 0 Previous issue date: 2020-12-01; 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 s=13TeV at the CERN LHC. The algorithm is trained on a large sample of simulated b jets and validated on data recorded by the CMS detector in ...
Measurements of production cross sections of the Higgs boson in the four-lepton...
Sirunyan, A. M.; Tumasyan, A.; Adam, W.; Andrejkovic, J. W.; Bergauer, T.; Chatterjee, S.; Dragicevic, M.; Valle, A. Escalante Del; Frühwirth, R.Made available in DSpace on 2022-05-01T04:26:42Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-06-01; Production cross sections of the Higgs boson are measured in the H → Z Z → 4 ℓ (ℓ=e,μ) decay channel. A data sample of proton–proton collisions at a center-of-mass energy of 13Te, collected by the CMS detector at the LHC and corresponding to an integrated luminosity of 137fb-1 is used. The signal streng...