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@INPROCEEDINGS{Grech:582788,
      author       = {Grech, Christian and Jafarinia, Farzad and Guetg, Marc and
                      Geloni, Gianluca and Guest, Trey},
      title        = {{V}irtual {P}hoton {P}ulse {C}haracterisation using
                      {M}achine {L}earning methods},
      reportid     = {PUBDB-2023-02175},
      year         = {2029},
      note         = {This can be published to the public.},
      abstract     = {The use of fast computational tools is important in the
                      operation of X-ray free electron lasers, in order to predict
                      the output of diagnostics when they are either destructive
                      or unavailable. Physics-based simulations can be
                      computationally intensive to provide estimates on a
                      real-time basis. This proposed work explores the use of
                      machine learning to provide operators with estimates of key
                      photon pulse characteristics related to beam pointing. A
                      data pipeline is set up and the method is applied to the
                      SASE1 undulator line at the European XFEL. This case study
                      evaluates the performance of the model for different amounts
                      of training data.},
      month         = {May},
      date          = {2023-05-07},
      organization  = {The 14th International Particle
                       Accelerator Conference, Venice (Italy),
                       7 May 2023 - 12 May 2023},
      keywords     = {Accelerator Physics (Other) /
                      mc6-beam-instrumentation-controls-feedback-and-operational-aspects
                      - MC6: Beam Instrumentation, Controls, Feedback and
                      Operational Aspects (Other) /
                      mc6-a27-machine-learning-and-digital-twin-modelling -
                      MC6.A27: Machine Learning and Digital Twin Modelling
                      (Other)},
      cin          = {MXL},
      cid          = {I:(DE-H253)MXL-20160301},
      pnm          = {621 - Accelerator Research and Development (POF4-621)},
      pid          = {G:(DE-HGF)POF4-621},
      experiment   = {EXP:(DE-H253)XFEL(machine)-20150101},
      typ          = {PUB:(DE-HGF)24},
      url          = {https://bib-pubdb1.desy.de/record/582788},
}