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@ARTICLE{Aad:620127,
      author       = {Aad, Georges and others},
      collaboration = {{ATLAS Collaboration}},
      title        = {{P}recision calibration of calorimeter signals in the
                      {ATLAS} experiment using an uncertainty-aware neural
                      network},
      reportid     = {PUBDB-2025-00044, arXiv:2412.04370. CERN-EP-2024-317},
      year         = {2024},
      note         = {72 pages in total, author list starting page 55, 19
                      figures, 3 tables, submitted to Sci.Post.Phys. All figures
                      including auxiliary figures are available at
                      https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/JETM-2024-01},
      abstract     = {The ATLAS experiment at the Large Hadron Collider explores
                      the use of modern neural networks for a multi-dimensional
                      calibration of its calorimeter signal defined by clusters of
                      topologically connected cells (topo-clusters). The Bayesian
                      neural network (BNN) approach not only yields a continuous
                      and smooth calibration function that improves performance
                      relative to the standard calibration but also provides
                      uncertainties on the calibrated energies for each
                      topo-cluster. The results obtained by using a trained BNN
                      are compared to the standard local hadronic calibration and
                      to a calibration provided by training a deep neural network.
                      The uncertainties predicted by the BNN are interpreted in
                      the context of a fractional contribution to the systematic
                      uncertainties of the trained calibration. They are also
                      compared to uncertainty predictions obtained from an
                      alternative estimator employing repulsive ensembles.},
      cin          = {ATLAS},
      cid          = {I:(DE-H253)ATLAS-20120731},
      pnm          = {611 - Fundamental Particles and Forces (POF4-611) / DFG
                      project G:(GEPRIS)469666862 - Präzisionstests des
                      Standardmodells unter der Verwendung von geboosteten
                      W/Z-Bosonen am Large Hadron Collider (469666862) / REALDARK
                      - REAL-time discovery strategies for DARK matter and dark
                      sector signals at the ATLAS detector with Run-3 LHC data
                      (101002463) / DITTO - Comprehensive search for new phenomena
                      in the dilepton spectrum at the LHC (101089007) /
                      DISCOVERHEP - Turning noise into data: a discovery strategy
                      for new weakly-interacting physics (948254)},
      pid          = {G:(DE-HGF)POF4-611 / G:(GEPRIS)469666862 /
                      G:(EU-Grant)101002463 / G:(EU-Grant)101089007 /
                      G:(EU-Grant)948254},
      experiment   = {EXP:(DE-H253)LHC-Exp-ATLAS-20150101},
      typ          = {PUB:(DE-HGF)25},
      eprint       = {2412.04370},
      howpublished = {arXiv:2412.04370},
      archivePrefix = {arXiv},
      SLACcitation = {$\%\%CITATION$ = $arXiv:2412.04370;\%\%$},
      doi          = {10.3204/PUBDB-2025-00044},
      url          = {https://bib-pubdb1.desy.de/record/620127},
}