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@ARTICLE{RenteraEstrada:472341,
      author       = {Rentería-Estrada, David F. and Hernández-Pinto, Roger J.
                      and Sborlini, German F. R. and Zurita, Pia},
      title        = {{R}econstructing partonic kinematics at colliders with
                      {M}achine {L}earning},
      reportid     = {PUBDB-2021-05010, DESY-21-211. arXiv:2112.05043},
      year         = {2021},
      note         = {37 pages + appendices, 16 figures, 7 tables},
      abstract     = {In the context of high-energy physics, a reliable
                      description of the parton-level kinematics plays a crucial
                      role for understanding the internal structure of hadrons and
                      improving the precision of the calculations. Here, we study
                      the production of one hadron and a direct photon, including
                      up to Next-to-Leading Order Quantum Chromodynamics and
                      Leading-Order Quantum Electrodynamics corrections. Using a
                      code based on Monte-Carlo integration, we simulate the
                      collisions and analyze the events to determine the
                      correlations among measurable and partonic quantities. Then,
                      we use these results to feed three different Machine
                      Learning algorithms that allow us to find the momentum
                      fractions of the partons involved in the process, in terms
                      of suitable combinations of the final state momenta. Our
                      results are compatible with previous findings and suggest a
                      powerful application of Machine-Learning to model
                      high-energy collisions at the partonic-level with
                      high-precision.},
      keywords     = {p p: scattering (INSPIRE) / quantum electrodynamics:
                      correction (INSPIRE) / hadron: structure (INSPIRE) / photon:
                      direct production (INSPIRE) / hadron: production (INSPIRE) /
                      higher-order: 1 (INSPIRE) / higher-order: 0 (INSPIRE) /
                      kinematics (INSPIRE) / correlation (INSPIRE) / Monte Carlo
                      (INSPIRE) / parton: scattering (INSPIRE) / quantum
                      chromodynamics: correction (INSPIRE) / hard scattering
                      (INSPIRE) / computer (INSPIRE) / data analysis method
                      (INSPIRE) / factorization: collinear (INSPIRE) / parton:
                      distribution function (INSPIRE) / transverse momentum:
                      momentum spectrum (INSPIRE) / momentum (INSPIRE)},
      cin          = {ZEU-THEO / $Z_ZPPT$},
      cid          = {I:(DE-H253)ZEU-THEO-20120731 /
                      $I:(DE-H253)Z_ZPPT-20210408$},
      pnm          = {611 - Fundamental Particles and Forces (POF4-611)},
      pid          = {G:(DE-HGF)POF4-611},
      experiment   = {EXP:(DE-MLZ)NOSPEC-20140101},
      typ          = {PUB:(DE-HGF)25},
      eprint       = {2112.05043},
      howpublished = {arXiv:2112.05043},
      archivePrefix = {arXiv},
      SLACcitation = {$\%\%CITATION$ = $arXiv:2112.05043;\%\%$},
      doi          = {10.3204/PUBDB-2021-05010},
      url          = {https://bib-pubdb1.desy.de/record/472341},
}