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@ARTICLE{TeixeiraParente:1006875,
      author       = {Teixeira Parente, Mario and Brandl, Georg and Franz,
                      Christian and Stuhr, Uwe and Ganeva, Marina and
                      Schneidewind, Astrid},
      title        = {{A}ctive learning-assisted neutron spectroscopy with
                      log-{G}aussian processes},
      journal      = {Nature Communications},
      volume       = {14},
      issn         = {2041-1723},
      publisher    = {Nature Publishing Group},
      reportid     = {FZJ-2023-01907},
      pages        = {2246},
      year         = {2023},
      abstract     = {Neutron scattering experiments at three-axes spectrometers
                      (TAS) investigate magnetic and lattice excitations by
                      measuring intensity distributions to understand the origins
                      of materials properties. The high demand and limited
                      availability of beam time for TAS experiments however raise
                      the natural question whether we can improve their efficiency
                      and make better use of the experimenter’s time. In fact,
                      there are a number of scientific problems that require
                      searching for signals, which may be time consuming and
                      inefficient if done manually due to measurements in
                      uninformative regions. Here, we describe a probabilistic
                      active learning approach that not only runs autonomously,
                      i.e., without human interference, but can also directly
                      provide locations for informative measurements in a
                      mathematically sound and methodologically robust way by
                      exploiting log-Gaussian processes. Ultimately, the resulting
                      benefits can be demonstrated on a real TAS experiment and a
                      benchmark including numerous different excitations.},
      cin          = {JCNS-FRM-II / JCNS-2 / JCNS-4 / MLZ},
      ddc          = {500},
      cid          = {I:(DE-Juel1)JCNS-FRM-II-20110218 /
                      I:(DE-Juel1)JCNS-2-20110106 / I:(DE-Juel1)JCNS-4-20201012 /
                      I:(DE-588b)4597118-3},
      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},
      experiment   = {EXP:(DE-MLZ)PANDA-20140101},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {37076453},
      UT           = {WOS:000988360100015},
      doi          = {10.1038/s41467-023-37418-8},
      url          = {https://juser.fz-juelich.de/record/1006875},
}