Neutron sub-micrometre tomography from scattering data.

IUCRJ(2020)

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摘要
Neutrons are valuable probes for various material samples across many areas of research. Neutron imaging typically has a spatial resolution of larger than 20 Rm, whereas neutron scattering is sensitive to smaller features but does not provide a real-space image of the sample. A computed-tomography technique is demonstrated that uses neutron-scattering data to generate an image of a periodic sample with a spatial resolution of -300 nm. The achieved resolution is over an order of magnitude smaller than the resolution of other forms of neutron tomography. This method consists of measuring neutron diffraction using a double-crystal diffractometer as a function of sample rotation and then using a phase-retrieval algorithm followed by tomographic reconstruction to generate a map of the sample's scattering-length density. Topological features found in the reconstructions are confirmed with scanning electron micrographs. This technique should be applicable to any sample that generates clear neutrondiffraction patterns, including nanofabricated samples, biological membranes and magnetic materials, such as skyrmion lattices.
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关键词
computed tomography,nanoscience,nanostructures,neutron scattering,neutron diffraction,phase retrieval
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