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@ARTICLE{Brogren:642950,
      author       = {Brogren, Frida and Jalas, S. and Hübner, L. and Messner,
                      Philipp and Schnepp, Matthias and Trunk, Maximilian and
                      Werle, Christian and Winkler, Paul Viktor and Marklund, M.
                      and Gonoskov, A. and Leemans, Wim and Maier, Andreas and
                      Kirchen, Manuel},
      title        = {{D}ata-driven modeling of a laser-plasma accelerator-based
                      x-ray source},
      journal      = {Physical review accelerators and beams},
      volume       = {28},
      number       = {10},
      issn         = {2469-9888},
      address      = {College Park, MD},
      publisher    = {American Physical Society},
      reportid     = {PUBDB-2025-05740},
      pages        = {101302},
      year         = {2025},
      abstract     = {Laser-plasma accelerators (LPAs) enable compact, bright
                      x-ray sources, but their practical application demands a
                      significant reduction of beam instabilities that originate
                      from drive laser fluctuations. Moreover, the complexity of
                      the laser-plasma interaction makes it difficult to
                      disentangle and quantify the impact of individual parameters
                      on machine performance. To address this challenge, we
                      develop a data-driven modeling strategy and apply it to an
                      extensive dataset collected during a daylong operation of
                      the LPAbased x-ray source LUX. By making use of an
                      orthogonal-distance-based training objective, our approach
                      reduces bias originating from measurement errors, which
                      allows us to estimate the functional dependencies between
                      laser, accelerated electrons, and generated undulator
                      radiation. In addition, we demonstrate accurate prediction
                      of the x-ray spectrum based on noninvasive measurements,
                      showcasing the potential of our approach for building
                      virtual diagnostics.},
      cin          = {MPL},
      ddc          = {530},
      cid          = {I:(DE-H253)MPL-20120731},
      pnm          = {621 - Accelerator Research and Development (POF4-621)},
      pid          = {G:(DE-HGF)POF4-621},
      experiment   = {EXP:(DE-H253)LUX-Beamline-20221201},
      typ          = {PUB:(DE-HGF)16},
      doi          = {10.1103/dnnw-lfn5},
      url          = {https://bib-pubdb1.desy.de/record/642950},
}