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@ARTICLE{Ma:599968,
      author       = {Ma, S. and Arnold, A. and Michel, P. and Murcek, P. and
                      Ryzhov, A. and Schaber, J. and Steinbrück, R. and
                      Evtushenko, P. and Teichert, J. and Hillert, W. and Xiang,
                      R. and Zhu, J.},
      title        = {{T}he application of encoder–decoder neural networks in
                      high accuracy and efficiency slit-scan emittance
                      measurements},
      journal      = {Nuclear instruments $\&$ methods in physics research /
                      Section A},
      volume       = {1050},
      issn         = {0167-5087},
      address      = {Amsterdam},
      publisher    = {North-Holland Publ. Co.},
      reportid     = {PUBDB-2023-07657, arXiv:2207.09144},
      pages        = {168125},
      year         = {2023},
      abstract     = {A superconducting radio-frequency (SRF) photo injector is
                      in operation at the electron linac for beams with high
                      brilliance and low emittance (ELBE) radiation center and
                      generates continuous wave (CW) electron beams with high
                      average current and high brightness for user operation since
                      2018. The speed of emittance measurement at the SRF gun
                      beamline can be increased by improving the slit-scan system,
                      thus the measurement time for one phase space mapping can be
                      shortened from about 15 min to 90 s. The convolution neural
                      networks are applied to improve the efficiency and accuracy
                      of beamlet images processing. In order to estimate the
                      uncertainty in the calculation of normalized emittance, we
                      analyze the main error contributions.},
      keywords     = {SRF photo injectors (autogen) / Beam emittance (autogen) /
                      Slit-scan (autogen) / Machine learning (autogen)},
      cin          = {CQTA},
      ddc          = {530},
      cid          = {I:(DE-H253)CQTA-20221102},
      pnm          = {611 - Fundamental Particles and Forces (POF4-611)},
      pid          = {G:(DE-HGF)POF4-611},
      experiment   = {EXP:(DE-MLZ)NOSPEC-20140101},
      typ          = {PUB:(DE-HGF)16},
      eprint       = {2207.09144},
      howpublished = {arXiv:2207.09144},
      archivePrefix = {arXiv},
      SLACcitation = {$\%\%CITATION$ = $arXiv:2207.09144;\%\%$},
      UT           = {WOS:001004484700001},
      doi          = {10.1016/j.nima.2023.168125},
      url          = {https://bib-pubdb1.desy.de/record/599968},
}