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@ARTICLE{Aad:643061,
      author       = {Aad, Georges and others},
      collaboration = {{ATLAS Collaboration}},
      title        = {{P}erformance and efficiency of a transformer-based
                      quark/gluon jet tagger in the {ATLAS} experiment},
      reportid     = {PUBDB-2025-05810, arXiv:2512.03949. CERN-EP-2025-252},
      year         = {2025},
      note         = {50 pages in total, author list starting page 33, 12
                      figures, 4 tables, submitted to EPJC. All figures including
                      auxiliary figures are available at
                      https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/JETM-2024-06},
      abstract     = {A deep-learning approach based on the transformer
                      architecture is developed to distinguish between jets
                      originating from quarks and gluons. The algorithm operates
                      on jets with transverse momentum $p_{\text{T}} > 20$ and
                      pseudorapidity $|η| < 4.5$ and takes as input several
                      properties derived from the jet constituents, using
                      information from the ATLAS detector's tracker and
                      calorimeter. The algorithm's performance is evaluated by
                      analyzing dijet data events from proton-proton collisions at
                      $\sqrt{s} = 13$ and $13.6$ TeV during Run 2 and Run 3 of the
                      Large Hadron Collider. Two methods are used to obtain
                      distributions from quark- or gluon-initiated jets in data: a
                      matrix method fully based on Monte Carlo simulation and a
                      new approach named `jet topics' which has less dependence on
                      the modelling of the physics process under study. The quark
                      and gluon identification efficiencies measured in data for
                      the 50\% quark-identification-efficiency working point vary
                      from the simulated ones for quark-initiated
                      (gluon-initiated) jets by factors of 0.88-1.30 (0.61-1.05)
                      with uncertainties of 10\%-70\% (10\%-95\%). The
                      uncertainties estimated with the jet topics method are
                      smaller than those estimated with the matrix method, with up
                      to 20\% less systematic uncertainty in some phase-space
                      regions. The advances in jet identification reported here
                      provide a robust tool for precision Standard Model
                      measurements and searches for new physics at the LHC.},
      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)},
      pid          = {G:(DE-HGF)POF4-611 / G:(GEPRIS)469666862},
      experiment   = {EXP:(DE-H253)LHC-Exp-ATLAS-20150101},
      typ          = {PUB:(DE-HGF)25},
      eprint       = {2512.03949},
      howpublished = {arXiv:2512.03949},
      archivePrefix = {arXiv},
      SLACcitation = {$\%\%CITATION$ = $arXiv:2512.03949;\%\%$},
      doi          = {10.3204/PUBDB-2025-05810},
      url          = {https://bib-pubdb1.desy.de/record/643061},
}