Journal Article

FZJ-2023-01907

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Active learning-assisted neutron spectroscopy with log-Gaussian processes

Teixeira Parente, M. (Corresponding author)FZJ* ; Brandl, G.FZJ* ; Franz, C.FZJ* ; Stuhr, U.Extern* ; Ganeva, M. (Corresponding author)FZJ* ; Schneidewind, A. (Last author)FZJ*

2023
Nature Publishing Group

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Please use a persistent id in citations: http://hdl.handle.net/2128/34402  doi:10.1038/s41467-023-37418-8

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.

Keyword(s): Instrument and Method Development (1st) ; Condensed Matter Physics (2nd)

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Contributing Institute(s):

1. JCNS-FRM-II (JCNS-FRM-II)
2. Streumethoden (JCNS-2)
3. JCNS-4 (JCNS-4)
4. Heinz Maier-Leibnitz Zentrum (MLZ)

Research Program(s):

1. 632 - Materials – Quantum, Complex and Functional Materials (POF4-632) (POF4-632)
2. 6G4 - Jülich Centre for Neutron Research (JCNS) (FZJ) (POF4-6G4) (POF4-6G4)

Experiment(s):

1. PANDA: Cold three axes spectrometer (SR2)

Appears in the scientific report 2023

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