On the analysis of time-of-flight spin-echo modulated dark-field imaging data

On the analysis of time-of-flight spin-echo modulated dark-field imaging data

Sales, M. (University of Copenhagen; Technical University of Denmark)
Plomp, J. (TU Delft RID/TS/Technici Pool; TU Delft RST/Neutron and Positron Methods in Materials)
Bouwman, W.G. (TU Delft RST/Neutron and Positron Methods in Materials)
Tremsin, Anton S. (University of California)
Habicht, Klaus (Helmholtz-Zentrum Berlin für Materialen und Energie GmbH)
Strobl, Markus (University of Copenhagen; European Spallation Source ESS-AB, Science Division)

2017

Spin-Echo Modulated Small Angle Neutron Scattering with spatial resolution, i.e. quantitative Spin-Echo Dark Field Imaging, is an emerging technique coupling neutron imaging with spatially resolved quantitative small angle scattering information. However, the currently achieved relatively large modulation periods of the order of millimeters are superimposed to the images of the samples. So far this required an independent reduction and analyses of the image and scattering information encoded in the measured data and is involving extensive curve fitting routines. Apart from requiring a priori decisions potentially limiting the information content that is extractable also a straightforward judgment of the data quality and information content is hindered. In contrast we propose a significantly simplified routine directly applied to the measured data, which does not only allow an immediate first assessment of data quality and delaying decisions on potentially information content limiting further reduction steps to a later and better informed state, but also, as results suggest, generally better analyses. In addition the method enables to drop the spatial resolution detector requirement for non-spatially resolved Spin-Echo Modulated Small Angle Neutron Scattering

http://resolver.tudelft.nl/uuid:4d8bfb26-0558-457f-aaf5-b85be31341a7

https://doi.org/10.1088/1742-6596/862/1/012026

1742-6588

Journal of Physics: Conference Series, 862 (012026), 1-10

Institutional Repository

journal article

© 2017 M. Sales, J. Plomp, W.G. Bouwman, Anton S. Tremsin, Klaus Habicht, Markus Strobl