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- W2893234237 abstract "Time-resolved diffraction has become a vital tool for probing dynamic responses to an applied stimulus. Such experiments traditionally use hardware solutions to histogram measured data into their respective bin. We will show that a major advantage of event-based data acquisition, which time-stamps measured diffraction data with 100 ns accuracy, is much preferred over hardware histogramming of the data by enabling postprocessing for advanced custom binning using a software solution. This approach is made even more powerful by coupling measured diffraction data with metadata about the applied stimuli and material response. In this work, we present a time-filter approach that leverages the power of event-based diffraction collection to reduce stroboscopic data measured over many hours into equally weighted segments that represent subsets of the response to a single cycle of the applied stimulus. We demonstrate this approach by observing ferroelectric/ferroelastic domain wall motion during electric field cycling of BaTiO3. The developed approach can readily be expanded to investigate other dynamic phenomena using complex sample environments." @default.
- W2893234237 created "2018-10-05" @default.
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- W2893234237 date "2018-09-01" @default.
- W2893234237 modified "2023-10-14" @default.
- W2893234237 title "Time filtering of event based neutron scattering data: A pathway to study the dynamic structural responses of materials" @default.
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- W2893234237 doi "https://doi.org/10.1063/1.5031798" @default.
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