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@INPROCEEDINGS{Robledo:910115,
      author       = {Robledo, Jose Ignacio and Lieutenant, Klaus},
      title        = {{V}irtual {E}xperiments combined with {M}achine {L}earning
                      to improve {D}ata {E}valuation of {SANS} measurements},
      reportid     = {FZJ-2022-03623},
      year         = {2022},
      abstract     = {In this work we present our research line that has begun as
                      part of the “Global Neutron Scientist” (GneuS) call N.º
                      1 this year. We present our strategy to combine virtual
                      experiments with Machine Learning (ML) techniques to improve
                      the data evaluation procedure in Small Angle Neutron
                      Scattering (SANS) experiments. In particular, we describe
                      the virtual experiments we are planning to do at a SANS
                      instrument at MLZ with the VITESS software [1] to create a
                      training database for ML algorithms, and we discuss
                      aproposed first step exploratory analysis to the generated
                      data using Multivariate Statistical methodologies. This
                      analysis will give insight to the adequate ML algorithms
                      that we will explore. [1] C. Zendler, K. Lieutenant, D.
                      Nekrassov, M. Fromme, Vitess 3 – Virtual Instrumentation
                      Tool for the European Spallation, J. Phys. Conf. Ser. 528
                      (2014) 012036.},
      month         = {Oct},
      date          = {2022-10-11},
      organization  = {JCNS WORKSHOP 2022 TRENDS AND
                       PERSPECTIVES IN NEUTRON SCATTERING:
                       EXPERIMENTS AND DATA ANALYSIS IN THE
                       DIGITAL AGE, Evangelische Akademie
                       Tutzing (Germany), 11 Oct 2022 - 14 Oct
                       2022},
      subtyp        = {Invited},
      cin          = {JCNS-2 / PGI-4 / JARA-FIT},
      cid          = {I:(DE-Juel1)JCNS-2-20110106 / I:(DE-Juel1)PGI-4-20110106 /
                      $I:(DE-82)080009_20140620$},
      pnm          = {632 - Materials – Quantum, Complex and Functional
                      Materials (POF4-632) / 6G4 - Jülich Centre for Neutron
                      Research (JCNS) (FZJ) (POF4-6G4)},
      pid          = {G:(DE-HGF)POF4-632 / G:(DE-HGF)POF4-6G4},
      typ          = {PUB:(DE-HGF)24},
      url          = {https://juser.fz-juelich.de/record/910115},
}