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001006875 1001_ $$0P:(DE-Juel1)186010$$aTeixeira Parente, Mario$$b0$$eCorresponding author
001006875 245__ $$aActive learning-assisted neutron spectroscopy with log-Gaussian processes
001006875 260__ $$bNature Publishing Group$$c2023
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001006875 520__ $$aNeutron 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.
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001006875 65027 $$0V:(DE-MLZ)SciArea-120$$2V:(DE-HGF)$$aCondensed Matter Physics$$x0
001006875 65017 $$0V:(DE-MLZ)GC-2002-2016$$2V:(DE-HGF)$$aInstrument and Method Development$$x0
001006875 693__ $$0EXP:(DE-MLZ)PANDA-20140101$$1EXP:(DE-MLZ)FRMII-20140101$$5EXP:(DE-MLZ)PANDA-20140101$$6EXP:(DE-MLZ)SR2-20140101$$aForschungs-Neutronenquelle Heinz Maier-Leibnitz $$ePANDA: Cold three axes spectrometer$$fSR2$$x0
001006875 7001_ $$0P:(DE-Juel1)166109$$aBrandl, Georg$$b1
001006875 7001_ $$0P:(DE-Juel1)165580$$aFranz, Christian$$b2
001006875 7001_ $$00000-0003-1532-2267$$aStuhr, Uwe$$b3
001006875 7001_ $$0P:(DE-Juel1)161101$$aGaneva, Marina$$b4$$eCorresponding author
001006875 7001_ $$0P:(DE-Juel1)156579$$aSchneidewind, Astrid$$b5$$eLast author
001006875 773__ $$0PERI:(DE-600)2553671-0$$a10.1038/s41467-023-37418-8$$gVol. 14, no. 1, p. 2246$$p2246$$tNature Communications$$v14$$x2041-1723$$y2023
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