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000013982 0247_ $$2DOI$$a10.1107/S0021889810049721
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000013982 084__ $$2WoS$$aCrystallography
000013982 1001_ $$0P:(DE-HGF)0$$aVad, T.$$b0
000013982 245__ $$aComparison of iterative desmearing procedures for one-dimensional small-angle scattering data
000013982 260__ $$aCopenhagen$$bMunksgaard$$c2011
000013982 300__ $$a32 - 42
000013982 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article
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000013982 440_0 $$03041$$aJournal of Applied Crystallography$$v44$$x0021-8898$$y1
000013982 500__ $$3POF3_Assignment on 2016-02-29
000013982 500__ $$aThe authors thank Dr Aurel Radulescu (Julich Centre for Neutron Science, Forschungszentrum Julich) for experimental assistance at the KWS-2 beamline, Dr Johan Buitenhuis (Institut fur Festkorperforschung, Forschungszentrum Julich) for providing the silica sample, and one of the referees for his/her valuable comments. Financial support by the Bundesministerium fur Bildung und Forschung, grant No. 05KS7OD2, is gratefully acknowledged.
000013982 520__ $$aTwo simple iterative desmearing procedures - the Lake algorithm and the Van Cittert method - have been investigated by introducing different convergence criteria using both synthetic and experimental small-angle neutron scattering data. Implementing appropriate convergence criteria resulted in stable and reliable solutions in correcting resolution errors originating from instrumental smearing, i.e. finite collimation and polychromaticity of the incident beam. Deviations at small momentum transfer for concentrated ensembles of spheres encountered in earlier studies are not observed. Amplification of statistical errors can be reduced by applying a noise filter after desmearing. In most cases investigated, the modified Lake algorithm yields better results with a significantly smaller number of iterations and is, therefore, suitable for automated desmearing of large numbers of data sets.
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000013982 65320 $$2Author$$asmall-angle scattering
000013982 65320 $$2Author$$ainstrumental resolution
000013982 65320 $$2Author$$adesmearing
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000013982 693__ $$0EXP:(DE-MLZ)KWS2-20140101$$1EXP:(DE-MLZ)FRMII-20140101$$5EXP:(DE-MLZ)KWS2-20140101$$6EXP:(DE-MLZ)NL3ao-20140101$$aForschungs-Neutronenquelle Heinz Maier-Leibnitz$$eKWS-2: Small angle scattering diffractometer$$fNL3ao$$x0
000013982 7001_ $$0P:(DE-Juel1)VDB96915$$aSager, W.F.C.$$b1$$uFZJ
000013982 773__ $$0PERI:(DE-600)2020879-0$$a10.1107/S0021889810049721$$gVol. 44, p. 32 - 42$$p32 - 42$$q44<32 - 42$$tJournal of applied crystallography$$v44$$x0021-8898$$y2011
000013982 8567_ $$uhttp://dx.doi.org/10.1107/S0021889810049721
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000013982 915__ $$0StatID:(DE-HGF)0010$$aJCR/ISI refereed
000013982 9141_ $$y2011
000013982 9131_ $$0G:(DE-Juel1)FUEK505$$aDE-HGF$$bSchlüsseltechnologien$$kP45$$lBiologische Informationsverarbeitung$$vBioSoft: Makromolekulare Systeme und biologische Informationsverarbeitung$$x0
000013982 9132_ $$0G:(DE-HGF)POF3-559H$$1G:(DE-HGF)POF3-550$$2G:(DE-HGF)POF3-500$$aDE-HGF$$bKey Technologies$$lBioSoft – Fundamentals for future Technologies in the fields of Soft Matter and Life Sciences$$vAddenda$$x0
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