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@ARTICLE{Sirunyan:429859,
      author       = {Sirunyan, Albert M and others},
      collaboration = {{CMS Collaboration}},
      title        = {{A} deep neural network for simultaneous estimation of b
                      jet energy and resolution},
      reportid     = {PUBDB-2019-05347, arXiv:1912.06046. CMS-HIG-18-027.
                      CERN-EP-2019-261},
      year         = {2019},
      note         = {},
      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 TeV at the CERN LHC. The algorithm is trained
                      on a large simulated sample of b jets and validated on data
                      recorded by the CMS detector in 2017 corresponding to an
                      integrated luminosity of 41 fb$^{-1}$. A multivariate
                      regression algorithm based on a deep feed-forward neural
                      network employs jet composition and shape information, and
                      the properties of reconstructed secondary vertices
                      associated with the jet. The results of the algorithm are
                      used to improve the sensitivity of analyses that make use of
                      b jets in the final state, such as the observation of Higgs
                      boson decay to $\mathrm{b\bar{b}}$.},
      cin          = {CMS},
      cid          = {I:(DE-H253)CMS-20120731},
      pnm          = {611 - Fundamental Particles and Forces (POF3-611)},
      pid          = {G:(DE-HGF)POF3-611},
      experiment   = {EXP:(DE-H253)LHC-Exp-CMS-20150101},
      typ          = {PUB:(DE-HGF)25 / PUB:(DE-HGF)29},
      eprint       = {1912.06046},
      howpublished = {arXiv:1912.06046},
      archivePrefix = {arXiv},
      SLACcitation = {$\%\%CITATION$ = $arXiv:1912.06046;\%\%$},
      doi          = {10.3204/PUBDB-2019-05347},
      url          = {https://bib-pubdb1.desy.de/record/429859},
}