Abstract
In the past decade neutron dark-field contrast imaging has developed from a qualitative tool depicting microstructural inhomogeneities in bulk samples on a macroscopic scale of tens to hundreds of micrometers to a quantitative spatial resolved small-angle scattering instrument. While the direct macroscopic image resolution around tens of micrometers remains untouched microscopic structures have become assessable quantitatively from the nanometer to the micrometer range. Although it was found that magnetic structures provide remarkable contrast we could only recently introduce polarized neutron grating interferometric imaging. Here we present a polarized and polarization analyzed dark-field contrast method for spatially resolved small-angle scattering studies of magnetic microstructures. It is demonstrated how a polarization analyzer added to a polarized neutron grating interferometer does not disturb the interferometric measurements but allows to separate and measure spin-flip and non-spin-flip small-angle scattering and thus also the potential for a distinction of nuclear and different magnetic contributions in the analyzed small-angle scattering.
Subject terms: Applied physics, Condensed-matter physics, Magnetic properties and materials, Physics, Techniques and instrumentation, Imaging techniques
Introduction
The technique of grating interferometry has been introduced to neutron imaging in 2006 as a tool for phase contrast imaging and it has gained substantial impact with the establishment of the neutron dark-field contrast modality, enabling structural studies beyond direct spatial image resolution1–5. Dark-field contrast imaging (DFI) provides contrast based on local small-angle scattering (SAS) in bulk samples and thus enabled the visualization of local microstructural inhomogeneities6–8. Besides microstructures like pore distributions and precipitation in bulk condensed matter, in particular magnetic structures such as in particular domain walls were found to provide significant contrast7,9–26. The latter enabled outstanding studies of magnetic materials and seminal access to 3D domain structures in the bulk of magnetic materials27–31.
However, it was significantly later, about half a decade ago, that the quantitative characterization of microstructures based on the probed small-angle neutron scattering in dark-field contrast imaging was unlocked32. A scan of the probed structural correlation length is achieved through variation of either the applied wavelength of the neutron beam or the distance of the sample to the analyzer grating , respectively the detector, (in some cases even the period of the modulation3,32–35), according to the relation36:
| 1 |
where p is the period of the intensity modulation exploited for the small-angle scattering resolution. The basic principle of interferometric dark-field contrast neutron imaging is the introduction of a microscopic transversal intensity modulation in a pinhole collimated beam with a relatively large cross section of several square centimeters as typically used for neutron imaging, and the observation of local visibility loss of the modulation as a consequence of neutron scattering to small angles of the order of 36. Note that the origin of the beam modulation does not need to be interferometric, like in the conventionally applied Talbot-Lau (TL), and that modulation methods other than TL interferometers and gratings in general have been demonstrated for quantitative neutron dark-field contrast imaging as well1,24,32–34,37–42.
The most conventional TL setups consist typically of three gratings referred to as source grating , phase grating and analyzer grating . The source grating has a period sufficient to create a transversal coherence at the phase grating to obtain a cosine interference pattern at the analyzer grating . For dark-field contrast imaging the local visibility (V), defined as:
| 2 |
where and are the transmitted intensities measured at the maximum and minimum points of the beam modulation, is measured. Typically, the open beam visibility range is 15 % ~75 % and the initial visibility depends not only on the attenuation pattern of and , but alse the phase shift of (typically or for a certain design wavelength) has to be optimized. In general the geometry is optimized such that the diffraction patterns from beams originating from different source slits add constructively at placed at a fractional Talbot distance downstream of , as shown in Fig. 1.
Figure 1.
Schematic of the symmetric Talbot–Lau polarized neutron grating interferometer setup including the optional polarization analyzer. The setup consists of an adiabatic fast passage spin flipper (AFP), a source grating , a phase grating , an analyzer grating , a polarization analyzer, a neutron detector and a guide field system (shaded pink). The spin analyzer can be moved out of the beam to the side, i.e. along the y-direction (IN and OUT). The probed polarization direction is along the z-axis. The magnetic sample is placed between and at a distance from the latter one and moved along the x-axis direction to perform a correlation length scan. The inter-grating distance in a symmetric setup are equal to L and all periods are same (p). In the sketch the spin-flip and non-spin-flip small-angle scattering events are highlighted symbolically.
The need for covering a useful range of correlation lengths despite the strict wavelength dependence of the interference (due to wavelength dependent phase shift at ) has lead to a number of advanced realizations of the original TL interferometer exploiting e.g. higher order Talbot distances , where or moving towards symmetric setups with larger grating periods1,24,38,43. Thus, correlation length ranges from 100 nm to about have become accessible for quantitative dark-field contrast neutron imaging studies in two and three dimensions with TL grating interferometers39,43–45.
It has been shown, that upon scanning the parameter through variation of, in general, the wavelength and the sample to distance (compare Eq. 1), the projected correlation function of the scattering structure is measured as36,46:
| 3 |
where is the macroscopic scattering cross-section, t the sample thickness and the visibility with and without the sample, respectively. Despite the significant success in qualitative dark-field contrast imaging of magnetic structures, quantitative studies of magnetic microstructures do not appear to have been reported so far. It can be assumed that the majority of reported dark-field contrast measurements of magnetic structures, in particular of magnetic domain walls, are originating in fact in oppositely oriented differential phase signals of spin-up and spin-down spin states of initially unpolarized incident neutrons.
Imaging with polarized neutrons has significantly progressed since its first implementation and is has been demonstrated only recently that TL interferometric imaging with polarized neutrons enables the assessment of strong magnetic fields and gradients which are not amenable to polarized neutron imaging otherwise47–56.
Here we introduce a setup where the polarized neutron grating interferometer is extended by polarization analyses in order to probe local polarized small-angle scattering and distinguish nuclear and magnetic structure contributions. The polarization analyzer, a solid state polarizing bender is used, is placed between the analyzer grating and the detector. Here, the modulation has already been detected by the analyzer grating and therefore no negative impact on the modulation measurement providing dark-field and differential phase contrast is expected. The only impact is thus a somewhat extended detector distance and the related effect on spatial image resolution. However, the utilized polarization analyzer is rather compact with a length of 40 mm along the beam, and the effect on image resolution is therefore negligible against the background of commonly applied spatial resolution requirements in quantitative neutron dark-field imaging to date. This is also related to the general need for variation of for scanning the correlation length parameter probed. In our application a distance scan range of 200 mm is to be related to the addition of 50 mm for the polarization analyzer with an impact on the spatial resolution of about 15%. We apply scans of the correlation length through scanning the sample to distance according to values of being 13, 26, 51, 102 and 202 mm. This corresponds to correlation length values of 98, 195, 387, 768 and 1524 nm.
Results
The first relevant parameter to asses is the impact of the polarization analyzer and the spin flipper for the incident polarization on the visibility of the beam modulation, which can be exploited. Measurements were performed without sample without spin flip, with spin flip and with the analyzer in the beam. A combination of spin flip and analyzer can naturally not be probed without sample, as the transmission through the analyzer, which under optimal conditions would be zero in such configuration, would deplete the detected beam. This combination, however, allows a measurement of the polarization (P), which can be given with 87.5 %. The results for the modulation are depicted in Fig. 2a, b and demonstrate that no significant impact on the modulation and in particular the visibility is evident by adding the spin-flip and especially the polarization analyses. As it becomes evident, that the spin-flip does not influence the recorded interference pattern, the addition of the analyzer lowers the average intensity by about a fraction of 10% as can be expected due to overall polarization quality and transmission of the analyzer. The achieved visibility remains nevertheless unaltered and remains at about 5% for the indicated central beam area in Fig. 2a, b. This value for the visibility is somewhat lower than for conventional setups, but it has to be noted that measurements here were performed with a white beam, i.e. utilizing the full spectrum available in the instrument57. This lowers the contrast but increases equally the count rate. It has been calculated that the effective wavelength thus is 3.77 Å in this setup55. The effective wavelength resolution of the measurements can be assumed to be about , which coincides about with the step-width of our -scans in the subsequent sample measurements, and thus the resolution in these. Note that the obvious phase shift of the modulation by about half a period that is observed is not a systematic effect, but could be confirmed to be due to an instability induced by the insertion of the analyzer, most likely corresponding to a shift of a few of the analyzer grating.
Figure 2.
Modulation visibility for polarization-analyzed DFI. (a) Visibility maps for the symmetric Talbot-Lau polarized neutron grating interferometer setup in four configurations: without the polarization analyzer in place and spin-up (top left), without the polarization analyzer in place and spin-down (top right), with the polarization analyzer in place and spin-up (bottom left) and with the polarization analyzer in place and spin-down (bottom rigth). (b) Intensity modulation for the 4 different color coded configurations reported in (a) and the corresponding fitted sinusoidal curves. The color coded boxes in (a) delimit the fitted area for the intensity modulation fitting.
Given these results the setup seems to be capable to measure , including the spatial correlations of magnetic structures equivalent to polarized small-angle neutron scattering (SANS). In polarized SANS the sample magnetism is considered to consist of a continuous magnetization vector field which represents the magnetization state of the sample at each position r inside the material58. Magnetic SANS can thus be assumed an implication of nanoscale variations in the magnitude or orientation of the magnetization, or both, representing a magnetic structure. Here, we are using uniaxial polarization analysis which enables to measure four different scattering quantities which are related to the two probed neutron spin states spin-up and spin-down . The orientation of the incident polarization and polarization analyses defines the quantization axis for the scattered polarization. An externally applied magnetic field at the sample position, as well as the guide field of the instrument, is aligned correspondingly and along the easy axis of the magnetization. The scattered neutron can either conserve the initial polarization direction in the scattering process described by the cross sections and for spin-up and spin-down incident polarizations, respectively, or it undergoes spin-flip scattering when undergoing a spin-reversing event due to the magnetic interaction with the sample according to and . While in SANSPOL, referring to SANS with polarized neutrons, but no polarization analysis capability, only half-polarized cross sections are probed, the addition of polarization analysis enables all individual cross sections to be assessed separately. The corresponding expressions for the cross sections are denoted as the POLARIS equations and can be written as58:
| 4 |
In our setup the incident polarization can be approximated by where is the unit vector in the vertical direction. The incident wave vector in x-direction together with the horizontal transversal direction y define the scattering plane (x-y) where is the scattering vector providing dark-field contrast. According to the magnetic interaction vector, underlining the dipolar origin of magnetic neutron scattering, only components of the magnetization perpendicular to the scattering vector contribute to magnetic scattering59. Thus, only and are probed in our setup. In order to investigate the principle potential of polarized SANS58 investigations with our polarization analyzed grating interferometer in dark-field contrast imaging we measured an initially demagnetized NdFeB ferromagnetic sample, shown in Fig. 3, with polarized neutrons and polarization analyses. This included the optional application of a magnetic field of 0.7 T at the sample position.
Figure 3.

Photographic image of the NdFeB sintered magnetic sheet. The sintered magnet is characterized by big and isotropic grains of few micrometer in size. The sample is 0.15 mm thick and coated with 0.5 nm tantalum. The blue arrow indicates the easy axis of the magnetization. The scale in the background is expressed in (cm).
Our polarization analyzer was aligned to probe the spin-up state , but it could be removed from the beam, in order to probe the half-polarized scattering cross sections according to Eq. (4). The sum of both provides the unpolarized scattering. Combination with the polarized cross sections probed with the polarization analyzer, i.e. and , thus in principle enable to recover all components as and , according to Eq. (4). The measurements are summarized in Fig. 4a–c.
Figure 4.
Measured polarized DFI of the sintered NdFeB magnet. (a) TI and DFI images of the NdFeB with and without the external magnetic field at and without analyzer in place. The North and the South poles of the applied field are depicted in red and blue, respectively. (b) DFI experimental values and the fitted curves based on model of correlation functions for the four configurations without the external magnetic field corresponding to the , , and . (c) DFI experimental values and the fitted DFI curves with the extracted correlation functions for the four configurations with the external magnetic field corresponding to the , , and . The modeled functions were based on the description of random two phase media. The magnetization easy axis of the sample is along the short side of the sample and along the applied external magnetic field.
Correspondingly, we measure , , and , where , the visibility of the sample normalized by the corresponding open beam visibility without sample . The ± superscripts refer to the incident and analyzed polarization direction in full analogy to the cross sections before. In case of no corresponding can, however, be measured (compare the case of (i) Analyzer IN - AFP , in Fig. 2a). Therefore, we define with the apparently justified assumption that . Considering the magnetic interaction vector and our scattering geometry the half-polarized cross sections include contributions of nuclear scattering, and interactions with and as well as a cross term of nuclear structure and scattering differently impacting and , respectively. The polarized neutron scattering term consists similarly of the nuclear and terms, including the cross term, but without contributions of . The related data, on the other hand, probes solely the related contribution.
While we observe significant scattering in the probed length scale regime, only minor differences in the measured terms are found before we apply the external magnetic field, as shown in Fig. 4b,c. When applying the external field (about 0.7 T throughout the sample region, as shown in Fig. 2a) the scattering is reduced for all components, but the least in case of which differs from only with respect to the cross term of with the structural contribution. While in the case without magnetic field the correlation functions overall appeared to nearly saturate within the probed range, hinting for maximum correlation lengths of about the end of our scale , larger correlation lengths appear to have been induced parallel to with the applied field indicating growth of domains.
In order to better disentangle the measured information, it was attempted to retrieve the four contributions according to the polarized SANS cross sections of non-spin-flip and spin-flip scattering. While in SANS subtractions of the measured cross sections are appropriate, here we measure the cross section in the exponent, thus we use division instead. Accordingly, we retrieve, in addition to the directly measured components of and the DFI signal corresponding to and by and . The thus retrieved curves are depicted in Fig. 5a,b, without and with external field , respectively.
Figure 5.
(a) Retrieved and from the measured , and , without the external magnetic field. (b) Retrieved and from the measured , and , with the applied external magnetic field. The functions were extracted by fitting the model for random two phase media.
In the above approximation of considering only, we can, in principle, also assume that because both spin-flip components equally probe, under such assumption, only . However, our data has the biggest difference for particularly these components. , on the other hand, carries a bias that corresponds to an overestimation of the measured scattering, because, while in DFI the scattering is measured as a component on top of the transmitted, thus unscattered beam, for this unscattered component, that constructively contributes to the visibility is filtered out by the polarization analyzer.
Therefore, it is attempted to reproduce the four DFI curves based on the above assumption of correspondence of and only from , and . The corresponding curves are presented in Fig. 5, while a direct comparison of the measured and the reconstructed is shown in the Supplemental Material.
It is in this case observed, that and are equal in the field free case. That implies that the scattering is indifferent to the orientation of the incoming spin direction, and thus the magnetization, i.e. domain orientation is completely random also with respect to the nuclear scattering due to e.g. porosity of the sample. Upon application of the field , however, the situation changes and different correlations of the nuclear structure with respect to the magnetization structure cause a deviation of and from each other. Notably the curve appears to saturate already at correlation lengths of about 200 nm. With the growth of the domains oriented parallel to the applied field and the opposite effect on the antiparallel orientation, the total scattering decreases. Turning to the spin-flip component we find that the application of the magnetic field has a relatively small impact on the probed correlation function, overall mostly within the range of error bars associated. The lack of the last correlation length measured for this sample condition adds uncertainty. It could be speculated, as the sample is not in saturation magnetization, that residual misoriented domains contribute to this signal up to considerably long length scales.
Discussion
In conclusion, it has been demonstrated that polarization analyses can be added to Talbot-Lau grating interferometers for dark-field contrast imaging. The addition of a polarization analyzer downstream the analyzer grating does not entail a penalty in visibility or functionality. It has further been shown that a Talbot-Lau grating interferometer operated with polarized neutrons and polarization analyses capability enables to probe not only dark-field contrast from half-polarized SANS, but to also separate and retrieve dark-field contrast for all spin-flip and non-spin flip small-angle neutron scattering components separately. It has, however, also been found that the directly measured spin-flip component of the dark-field contrast carries a bias overestimating the spin-flip scattering due to removal of the transmitted, unscattered part of the beam, which carries the incident polarization. This effect cannot straightforwardly be corrected, or compensated for, in quantitative dark-field contrast imaging studies. A method to circumvent the issue in a first approximation has been applied, based on the assumption, that only scattering in the horizontal plane is probed in the presented set-up. However, this is not strictly the case, because what is referred to as slit-smearing in conventional SANS methods indeed introduces also scattering out of this plane to the recorded signal. This consideration, however, opens a whole different dimension of complexity in the interpretation of results as the ones presented and, thus, must remain for consecutive efforts to enable quantitative polarized SANS with spatial resolution in neutron grating interferometry. So far different approaches have been applied and proposed in DFI to assess anisotropic scattering, which include the rotation of the sample or grating set-up around the beam axis, or 2D gratings respectively42,60. It remains to be seen how well suited such approaches are for polarized DFI. Here, however, we have presented seminal results demonstrating the principle potential and instrumental development alongside a discussion of remaining issues that need to be solved in order to enable a full spatially resolved characterization of magnetic structures from polarization analysed dark-field contrast imaging.
Finally, the presented set-up of combined Talbot–Lau interferometry and polarization analyses will enable combined dark-field contrast and polarization contrast imaging for the visualization of magnetic domain walls and characterization of the domain magnetization, respectively, which today requires separate measurements with different instrumentation11,13,16–18,24,25,31,54. In such case, however, the polarization analyses might be oriented perpendicular to the grating orientation, in contrast to the here presented geometry. A geometry where the applied external field, the polarization and the probed scattering vector are aligned perpendicular to the beam, on the other hand could be suited to separate nuclear and magnetic scattering components, which could prove highly useful for the investigation of microstructures of magnetic materials58. When, on the other hand, applying the field parallel to the beam parallel and perpendicular magnetization components can be discriminated straight forwardly.
Methods
Symmetric Talbot–Lau polarized neutron grating interferometer setup with optional polarization analyzer
We employed a symmetric TL grating setup, as shown in Fig. 1, with periods p equals to for all three gratings38,39. The setup was installed at the beamline BOA of the continuous spallation neutron source SINQ of the Paul Scherrer Institut (PSI) in Switzerland61. The total length of the grating setup was 2.84 m. The beam provided by the BOA instrument is polarized already by a polarizing bender neutron optics in the extraction section in the biological shielding of the source. The polarizing bender, facing a cold source has a cut-off wavelength of 3 Å at the short wavelength side of the spectrum. The detector used was a LiF/ZnS scintillator screen coupled via a mirror and 100 mm optics with a CCD digital camera [1024 1024 pixels]. The effective pixel size was on a field of view of 100 times 100 mm2, characterized with a Siemens star test object62. The field of view for the grating measurements was further limited by the gratings to 64 times 64 mm2 and finally the polarization analyzer to 40 times 40 mm2. The bender-type analyzer consists of thick coated Si lamellae63.
Sintered NdFeB magnetic sheet
The probed sample for the polarized and polarization-analyzed DFI measurement is a thin NdFeB sintered magnet. The NdFeB magnetic sheet, shown in Fig. 3, has a rectangular shape of mm2, it is 0.15 mm thick and it is coated with thin film of tantalum, 0.5 nm, on both sides, deposited by radio frequency sputtering to prevent oxidation. This kind of sitered magnets are characterized by big and isotropic grains of few micrometer in size, typically , and a crystallographic anisotropy64–66. The magnetization easy axis of the NdFeB sintered magnet is along the short side of the sample, as depicted in Fig. 3, and along the applied external magnetic field as shown in Fig. 4. The saturation is reached for magnetic field of 5 T, while a typical coercivity field lies between 1 to 2 T when it’s fully magnetized. However, in our case the sample has been thermally demagnetized by warming up the magnetic sheet above the Curie temperature, T K, before the measurement while the maximum external magnetic field applied to the sample was roughly H T, far below the saturation.
Supplementary Information
Acknowledgements
We gratefully acknowledge J. Kohlbrecher, R.P. Harti, J.S. White, W. Treimer and C. Rüegg for the fruitful discussions. We thank M. Morgano, J. Hovind, M. Schild, U. Filges, and P. Hautle for technical support.
The work is partially funded by the Swiss National Science Foundation under project number 162582 and the Korean-Swiss Science and Technology Programme under project number EG-KR-11-92017.
Author contributions
J.V. and M.S. conceived the experiments with support from S.W.L. and C.G.; J.V., Y.K. and M.S conducted the experiments; K.S. manufactured the sample; J.V. and M.S. analyzed the results and jointly wrote the manuscript with contributions from all authors.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
The online version contains supplementary material available at 10.1038/s41598-021-87335-3.
References
- 1.Pfeiffer F, et al. Neutron phase imaging and tomography. Phys. Rev. Lett. 2006;96:215505. doi: 10.1103/PhysRevLett.96.215505. [DOI] [PubMed] [Google Scholar]
- 2.Strobl M, et al. Neutron dark-field tomography. Phys. Rev. Lett. 2008;101:123902. doi: 10.1103/PhysRevLett.101.123902. [DOI] [PubMed] [Google Scholar]
- 3.Strobl M, et al. Small angle scattering in neutron imaging-A review. J. Imaging. 2017;3:64. doi: 10.3390/jimaging3040064. [DOI] [Google Scholar]
- 4.Kardjilov N, Manke I, Woracek R, Hilger A, Banhart J. Advances in neutron imaging. Mater. Today. 2018;21:652–672. doi: 10.1016/j.mattod.2018.03.001. [DOI] [Google Scholar]
- 5.Momose A, et al. Recent progress in X-ray and neutron phase imaging with gratings. Quantum Beam Sci. 2020;4:9. doi: 10.3390/qubs4010009. [DOI] [Google Scholar]
- 6.Strobl, M. et al. Differential phase contrast and dark field neutron imaging. Nucl. Instruments Methods Phys. Res. Sect. A Accel. Spectrom. Detect. Assoc. Equip.605, 9–12. 10.1016/j.nima.2009.01.224 (2009).
- 7.Hilger A, et al. Revealing microstructural inhomogeneities with dark-field neutron imaging. J. Appl. Phys. 2010;107:36101. doi: 10.1063/1.3298440. [DOI] [Google Scholar]
- 8.Grünzweig, C. et al. Quantification of the neutron dark-field imaging signal in grating interferometry. Phys. Rev. B Condens. Matter Mater. Phys.88, 125104. 10.1103/PhysRevB.88.125104 (2013).
- 9.Siegwart M, et al. Selective visualization of water in fuel cell gas diffusion layers with neutron dark-field imaging. J. Electrochem. Soc. 2019;166:F149–F157. doi: 10.1149/2.1011902jes. [DOI] [Google Scholar]
- 10.Siegwart M, et al. Operando visualization of water distribution in gas diffusion media of PEFCs with an optimized neutron grating interferometer. J. Electrochem. Soc. 2020;167:064509. doi: 10.1149/1945-7111/ab7d92. [DOI] [Google Scholar]
- 11.Grünzweig C, et al. Bulk magnetic domain structures visualized by neutron dark-field imaging. Appl. Phys. Lett. 2008;93:112504. doi: 10.1063/1.2975848. [DOI] [Google Scholar]
- 12.Grünzweig C, et al. Neutron decoherence imaging for visualizing bulk magnetic domain structures. Phys. Rev. Lett. 2008;101:025504. doi: 10.1103/PhysRevLett.101.025504. [DOI] [PubMed] [Google Scholar]
- 13.Lee SW, et al. Observation of magnetic domains in insulation-coated electrical steels by neutron dark-field imaging. Appl. Phys. Express. 2010;3:106602. doi: 10.1143/APEX.3.106602. [DOI] [Google Scholar]
- 14.Betz B, et al. Quantification of the sensitivity range in neutron dark-field imaging. Rev. Sci. Instrum. 2015;86:123704. doi: 10.1063/1.4937616. [DOI] [PubMed] [Google Scholar]
- 15.Rauscher P, et al. The influence of laser scribing on magnetic domain formation in grain oriented electrical steel visualized by directional neutron dark-field imaging. Sci. Rep. 2016;6:38307. doi: 10.1038/srep38307. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Betz B, et al. In-situ visualization of stress-dependent bulk magnetic domain formation by neutron grating interferometry. Appl. Phys. Lett. 2016;108:012405. doi: 10.1063/1.4939196. [DOI] [Google Scholar]
- 17.Betz B, et al. Magnetization response of the bulk and supplementary magnetic domain structure in high-permeability steel laminations visualized in situ by neutron dark-field imaging. Phys. Rev. Appl. 2016;6:024023. doi: 10.1103/PhysRevApplied.6.024023. [DOI] [Google Scholar]
- 18.Betz B, et al. Frequency-induced bulk magnetic domain-wall freezing visualized by neutron dark-field imaging. Phys. Rev. Appl. 2016;6:024024. doi: 10.1103/PhysRevApplied.6.024024. [DOI] [Google Scholar]
- 19.Brooks AJ, et al. Porosity detection in electron beam-melted Ti-6Al-4V using high-resolution neutron imaging and grating-based interferometry. Prog. Addit. Manuf. 2017;2:125–132. doi: 10.1007/s40964-017-0025-z. [DOI] [Google Scholar]
- 20.Brooks A, et al. Neutron imaging of laser melted SS316 test objects with spatially resolved small angle neutron scattering. J. Imaging. 2017;3:58. doi: 10.3390/jimaging3040058. [DOI] [Google Scholar]
- 21.Brooks AJ, et al. Early detection of fracture failure in SLM AM tension testing with Talbot-Lau neutron interferometry. Addit. Manuf. 2018;22:658–664. doi: 10.1016/j.addma.2018.06.012. [DOI] [Google Scholar]
- 22.Brooks AJ, et al. Neutron interferometry detection of early crack formation caused by bending fatigue in additively manufactured SS316 dogbones. Mater. Des. 2018;140:420–430. doi: 10.1016/j.matdes.2017.12.001. [DOI] [Google Scholar]
- 23.Kim Y, Kim J, Hussey DS, Kwon OY, Lee SW. Visualization of magnetic domains in electrical steel using high-resolution dark-field imaging. Korean J. Met. Mater. 2019;57:352–359. doi: 10.3365/KJMM.2019.57.6.352. [DOI] [Google Scholar]
- 24.Neuwirth T, et al. A high visibility Talbot-Lau neutron grating interferometer to investigate stress-induced magnetic degradation in electrical steel. Sci. Rep. 2020;10:1764. doi: 10.1038/s41598-020-58504-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Dhiman I, et al. Visualization of magnetic domain structure in FeSi based high permeability steel plates by neutron imaging. Mater. Lett. 2019;259:126816. doi: 10.1016/j.matlet.2019.126816. [DOI] [Google Scholar]
- 26.Bacak M, et al. Neutron dark-field imaging applied to porosity and deformation-induced phase transitions in additively manufactured steels. Mater. Des. 2020;195:109009. doi: 10.1016/j.matdes.2020.109009. [DOI] [Google Scholar]
- 27.Manke I, et al. Three-dimensional imaging of magnetic domains. Nat. Commun. 2010;1:125. doi: 10.1038/ncomms1125. [DOI] [PubMed] [Google Scholar]
- 28.Reimann, T. et al. Visualizing the morphology of vortex lattice domains in a bulk type-II superconductor. Nat. Commun.6, 8813, 10.1038/ncomms9813(2015). arXiv:1308.3612. [DOI] [PMC free article] [PubMed]
- 29.Reimann T, et al. Domain formation in the type-II/1 superconductor niobium: Interplay of pinning, geometry, and attractive vortex-vortex interaction. Phys. Rev. B. 2017;96:144506. doi: 10.1103/PhysRevB.96.144506. [DOI] [Google Scholar]
- 30.Backs, A. et al. Universal behavior of the IMS domain formation in superconducting niobium. Phys. Rev. B100, 1–7, 10.1103/PhysRevB.100.064503(2019). arXiv:1905.06043.
- 31.Harti RP, et al. Dynamic volume magnetic domain wall imaging in grain oriented electrical steel at power frequencies with accumulative high-frame rate neutron dark-field imaging. Sci. Rep. 2018;8:15754. doi: 10.1038/s41598-018-33835-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Strobl M, et al. Wavelength-dispersive dark-field contrast: micrometre structure resolution in neutron imaging with gratings. J. Appl. Crystallogr. 2016;49:569–573. doi: 10.1107/s1600576716002922. [DOI] [Google Scholar]
- 33.Strobl, M. et al. TOF-SEMSANS-time-of-flight spin-echo modulated small-angle neutron scattering. J. Appl. Phys.112, 10.1063/1.4730775 (2012).
- 34.Strobl M, et al. Quantitative neutron dark-field imaging through spin-echo interferometry. Sci. Rep. 2015;5:16576. doi: 10.1038/srep16576. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Sales M, et al. On the analysis of time-of-flight spin-echo modulated dark-field imaging data. J. Phys. Conf. Ser. 2017;862:012026. doi: 10.1088/1742-6596/862/1/012026. [DOI] [Google Scholar]
- 36.Strobl M. General solution for quantitative dark-field contrast imaging with grating interferometers. Sci. Rep. 2014;4:7243. doi: 10.1038/srep07243. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Strobl, M. et al. Achromatic non-interferometric single grating neutron dark-field imaging. Sci. Rep.9. 10.1038/s41598-019-55558-0(2019). arXiv:1903.09794. [DOI] [PMC free article] [PubMed]
- 38.Kim Y, Kim J, Kim D, Hussey DS, Lee SW. Characterization of the phase sensitivity, visibility, and resolution in a symmetric neutron grating interferometer. Rev. Sci. Instrum. 2019;90:073704. doi: 10.1063/1.5089588. [DOI] [PubMed] [Google Scholar]
- 39.Kim Y, Valsecchi J, Kim J, Lee SW, Strobl M. Symmetric Talbot-Lau neutron grating interferometry and incoherent scattering correction for quantitative dark-field imaging. Sci. Rep. 2019;9:1–10. doi: 10.1038/s41598-019-55420-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Pushin, D. A. et al. Far-field interference of a neutron white beam and the applications to noninvasive phase-contrast imaging. Phys. Rev. A95, 043637. 10.1103/PhysRevA.95.043637 (2017). arXiv:1606.03445.
- 41.Sarenac, D. et al. Three phase-grating Moiré neutron interferometer for large interferometer area applications. Phys. Rev. Lett.120, 10.1103/PhysRevLett.120.113201 (2018). arXiv:1708.05421. [DOI] [PMC free article] [PubMed]
- 42.Valsecchi J, et al. Characterization of oriented microstructures through anisotropic small-angle scattering by 2D neutron dark-field imaging. Commun. Phys. 2020;3:1–8. doi: 10.1038/s42005-020-0308-4. [DOI] [Google Scholar]
- 43.Harti RP, et al. Sub-pixel correlation length neutron imaging: Spatially resolved scattering information of microstructures on a macroscopic scale. Sci. Rep. 2017;7:44588. doi: 10.1038/srep44588. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Harti RP, et al. Visualizing the heterogeneous breakdown of a fractal microstructure during compaction by neutron dark-field imaging. Sci. Rep. 2018;8:17845. doi: 10.1038/s41598-018-35845-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Harti RP, Strobl M, Valsecchi J, Hovind J, Grünzweig C. 3D sub-pixel correlation length imaging. Sci. Rep. 2020;10:1002. doi: 10.1038/s41598-020-57988-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Andersson R, Van Heijkamp LF, De Schepper IM, Bouwman WG. Analysis of spin-echo small-angle neutron scattering measurements. J. Appl. Crystallogr. 2008;41:868–885. doi: 10.1107/S0021889808026770. [DOI] [Google Scholar]
- 47.Kardjilov N, et al. Three-dimensional imaging of magnetic fields with polarized neutrons. Nat. Phys. 2008;4:399–403. doi: 10.1038/nphys912. [DOI] [Google Scholar]
- 48.Treimer W, Ebrahimi O, Karakas N, Prozorov R. Polarized neutron imaging and three-dimensional calculation of magnetic flux trapping in bulk of superconductors. Phys. Rev. B. 2012;85:184522. doi: 10.1103/PhysRevB.85.184522. [DOI] [Google Scholar]
- 49.Treimer W, Ebrahimi O, Karakas N. Observation of partial Meissner effect and flux pinning in superconducting lead containing non-superconducting parts. Appl. Phys. Lett. 2012;101:162603. doi: 10.1063/1.4762860. [DOI] [Google Scholar]
- 50.Schulz M, Neubauer A, Böni P, Pfleiderer C. Neutron depolarization imaging of the hydrostatic pressure dependence of inhomogeneous ferromagnets. Appl. Phys. Lett. 2016;108:202402. doi: 10.1063/1.4950806. [DOI] [Google Scholar]
- 51.Dhiman I, et al. Thermodynamics of Meissner effect and flux pinning behavior in the bulk of single-crystal LaSrCuO. Phys. Rev. B. 2017;96:104517. doi: 10.1103/physrevb.96.104517. [DOI] [Google Scholar]
- 52.Sales, M. et al. Three dimensional polarimetric neutron tomography of magnetic fields. Sci. Rep.8, 2214. 10.1038/s41598-018-20461-7(2018). arXiv:1704.04887. [DOI] [PMC free article] [PubMed]
- 53.Hilger A, et al. Tensorial neutron tomography of three-dimensional magnetic vector fields in bulk materials. Nat. Commun. 2018;9:4023. doi: 10.1038/s41467-018-06593-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Strobl M, et al. Polarization measurements in neutron imaging. J. Phys. D. Appl. Phys. 2019;52:123001. doi: 10.1088/1361-6463/aafa5e. [DOI] [Google Scholar]
- 55.Valsecchi J, et al. Visualization and quantification of inhomogeneous and anisotropic magnetic fields by polarized neutron grating interferometry. Nat. Commun. 2019;10:3788. doi: 10.1038/s41467-019-11590-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Valsecchi J, et al. Decomposing magnetic dark-field contrast in spin analyzed Talbot-Lau interferometry: A Stern-Gerlach experiment without spatial beam splitting. Phys. Rev. Lett. 2021;126:070401. doi: 10.1103/PhysRevLett.126.070401. [DOI] [PubMed] [Google Scholar]
- 57.Harti RP, et al. Visibility simulation of realistic grating interferometers including grating geometries and energy spectra. Opt. Express. 2017;25:1019. doi: 10.1364/oe.25.001019. [DOI] [PubMed] [Google Scholar]
- 58.Mühlbauer S, et al. Magnetic small-angle neutron scattering. Rev. Mod. Phys. 2019;91:015004. doi: 10.1103/RevModPhys.91.015004. [DOI] [Google Scholar]
- 59.Halpern O, Johnson MH. On the magnetic scattering of neutrons. Phys. Rev. 1939;55:898–923. doi: 10.1103/PhysRev.55.898. [DOI] [Google Scholar]
- 60.Reimann T, et al. The new neutron grating interferometer at the ANTARES beamline: design, principles and applications. J. Appl. Crystallogr. 2016;49:1488–1500. doi: 10.1107/s1600576716011080. [DOI] [Google Scholar]
- 61.Morgano, M., Peetermans, S., Lehmann, E., Panzner, T. & Filges, U. Neutron imaging options at the BOA beamline at Paul Scherrer Institut. Nucl. Instrum. Methods Phys. Res. Sect. A Accel. Spectrom. Detect. Assoc. Equip.754, 46–56. 10.1016/j.nima.2014.03.055(2014).
- 62.Grünzweig C, Frei G, Lehmann E, Kühne G, David C. Highly absorbing gadolinium test device to characterize the performance of neutron imaging detector systems. Rev. Sci. Instrum. 2007;78:053708. doi: 10.1063/1.2736892. [DOI] [PubMed] [Google Scholar]
- 63.Treimer, W., Ebrahimi, O., Karakas, N. & Seidel, S. O. PONTO—An instrument for imaging with polarized neutrons. Nucl. Instruments Methods Phys. Res. Sect. A Accel. Spectrom. Detect. Assoc. Equip.651, 53–56. 10.1016/j.nima.2011.01.009 (2011).
- 64.Saito K, et al. Magnetization reversal of a Nd-Cu-infiltrated Nd-Fe-B nanocrystalline magnet observed with small-angle neutron scattering. J. Appl. Phys. 2015;117:17–302. doi: 10.1063/1.4908026. [DOI] [Google Scholar]
- 65.Sasaki TT, Ohkubo T, Hono K. Structure and chemical compositions of the grain boundary phase in Nd-Fe-B sintered magnets. Acta Mater. 2016;115:269–277. doi: 10.1016/j.actamat.2016.05.035. [DOI] [Google Scholar]
- 66.Takezawa M, Ikeda S, Morimoto Y, Kabashima H. Analysis of thermal demagnetization behavior of Nd-Fe-B sintered magnets using magnetic domain observation. AIP Adv. 2016;6:056021. doi: 10.1063/1.4944402. [DOI] [Google Scholar]
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