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@ARTICLE{Vad:13982,
      author       = {Vad, T. and Sager, W.F.C.},
      title        = {{C}omparison of iterative desmearing procedures for
                      one-dimensional small-angle scattering data},
      journal      = {Journal of applied crystallography},
      volume       = {44},
      issn         = {0021-8898},
      address      = {Copenhagen},
      publisher    = {Munksgaard},
      reportid     = {PreJuSER-13982},
      pages        = {32 - 42},
      year         = {2011},
      note         = {The authors thank Dr Aurel Radulescu (Julich Centre for
                      Neutron Science, Forschungszentrum Julich) for experimental
                      assistance at the KWS-2 beamline, Dr Johan Buitenhuis
                      (Institut fur Festkorperforschung, Forschungszentrum Julich)
                      for providing the silica sample, and one of the referees for
                      his/her valuable comments. Financial support by the
                      Bundesministerium fur Bildung und Forschung, grant No.
                      05KS7OD2, is gratefully acknowledged.},
      abstract     = {Two simple iterative desmearing procedures - the Lake
                      algorithm and the Van Cittert method - have been
                      investigated by introducing different convergence criteria
                      using both synthetic and experimental small-angle neutron
                      scattering data. Implementing appropriate convergence
                      criteria resulted in stable and reliable solutions in
                      correcting resolution errors originating from instrumental
                      smearing, i.e. finite collimation and polychromaticity of
                      the incident beam. Deviations at small momentum transfer for
                      concentrated ensembles of spheres encountered in earlier
                      studies are not observed. Amplification of statistical
                      errors can be reduced by applying a noise filter after
                      desmearing. In most cases investigated, the modified Lake
                      algorithm yields better results with a significantly smaller
                      number of iterations and is, therefore, suitable for
                      automated desmearing of large numbers of data sets.},
      keywords     = {J (WoSType)},
      cin          = {ICS-3},
      ddc          = {540},
      cid          = {I:(DE-Juel1)ICS-3-20110106},
      pnm          = {BioSoft: Makromolekulare Systeme und biologische
                      Informationsverarbeitung},
      pid          = {G:(DE-Juel1)FUEK505},
      experiment   = {EXP:(DE-MLZ)KWS2-20140101},
      shelfmark    = {Crystallography},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000286475300005},
      doi          = {10.1107/S0021889810049721},
      url          = {https://juser.fz-juelich.de/record/13982},
}