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@PHDTHESIS{MartinMontoya:317909,
      author       = {Martin Montoya, Ligia Andrea},
      othercontributors = {Caliebe, Wolfgang and Lindner, Jörg and Henkel, Gerald and
                          Bauer, Matthias and Glaser, Leif and Murzin, Vadim and
                          Rothkirch, Andre},
      title        = {{A}utomatic reduction of large x-ray fluorescence data-sets
                      applied to {XAS} and mapping experiments},
      issn         = {1435-8085},
      school       = {Universität Paderborn},
      type         = {Dissertation},
      address      = {Hamburg},
      publisher    = {Verlag Deutsches Elektronen-Synchrotron},
      reportid     = {PUBDB-2017-00957, DESY-THESIS-2017-007},
      series       = {DESY-THESIS},
      pages        = {130},
      year         = {2017},
      note         = {Dissertation, Universität Paderborn, 2016},
      abstract     = {In this thesis two automatic methods for the reduction of
                      large fluorescence data sets are presented.The first method
                      is proposed in the framework of BioXAS experiments. The
                      challenge of this experiment is to deal with samples in
                      ultra dilute concentrations where the signal-to-background
                      ratio is low. The experiment is performed in fluorescence
                      mode x-ray absorption spectroscopy with a 100 pixel
                      high-purity Ge detector. The first step consists on reducing
                      100 fluorescence spectra into one. In this step, outliers
                      are identified by means of the shot noise. Furthermore, a
                      fitting routine which model includes Gaussian functions for
                      the fluorescence lines and exponentially modified Gaussian
                      (EMG) functions for the scattering lines (with long tails at
                      lower energies) is proposed to extract the line of interest
                      from the fluorescence spectrum.Additionally, the fitting
                      model has an EMG function for each scattering line (elastic
                      and inelastic) at incident energies where they start to be
                      discerned. At these energies,the data reduction is done per
                      detector column to include the angular dependence of
                      scattering.In the second part of this thesis, an automatic
                      method for texts separation on palimpsests is presented.
                      Scanning x-ray fluorescence is performed on the parchment,
                      where a spectrum per scanned point is collected. Within this
                      method, each spectrum is treated as a vector forming a basis
                      which is to be transformed so that the basis vectors are the
                      spectra of each ink. Principal Component Analysis is
                      employed as an initial guess of the seek basis. This basis
                      is further transformed by means of an optimization routine
                      that maximizes the contrast and minimizes the non-negative
                      entries in the spectra. The method is tested on original and
                      self made palimpsests.},
      cin          = {FS-PEX},
      cid          = {I:(DE-H253)FS-PEX-20130206},
      pnm          = {6213 - Materials and Processes for Energy and Transport
                      Technologies (POF3-621) / 6G3 - PETRA III (POF3-622)},
      pid          = {G:(DE-HGF)POF3-6213 / G:(DE-HGF)POF3-6G3},
      experiment   = {EXP:(DE-H253)P-P64-20150101 / EXP:(DE-H253)P-P65-20150101},
      typ          = {PUB:(DE-HGF)3 / PUB:(DE-HGF)29 / PUB:(DE-HGF)11},
      doi          = {10.3204/PUBDB-2017-00957},
      url          = {https://bib-pubdb1.desy.de/record/317909},
}